From hussain.doctor at gmail.com Mon Apr 1 05:10:09 2024 From: hussain.doctor at gmail.com (Amir Hussain) Date: Mon, 1 Apr 2024 09:10:09 +0000 Subject: Connectionists: CFP: AVSEC-3 Challenge Workshop & IEEE JSTSP Special Issue Message-ID: Dear connectionists (with apologies for any cross-postings) We are pleased to announce the third edition of the International Challenge on audio-visual speech enhancement (AVSEC-3) as a Satellite Workshop of 2024 INTERSPEECH on 1st September 2024, at Kos Island, Greece (submissions deadline 20 June 2024 - see details below and here: http://challenge.cogmhear.org). Contributions are also invited to the related Special Issue of the IEEE Journal of Selected Topics in Signal Processing (JSTSP) on "Deep Multimodal Speech Enhancement and Separation" (paper submission deadline: 30 Sep 2024 - see CFP below and here: https://signalprocessingsociety.org/publications-resources/special-issue-deadlines/ieee-jstsp-special-issue-deep-multimodal-speech-enhancement-and-separation) AVSEC-3 Workshop: Important Dates: 16th February 2024: Release of training and development data. 22nd March 2024: Release of low-latency baseline system. 10th April 2024: Evaluation data release. 10th April 2024: Leaderboard open for submissions. 6th May 2024: Paper submission opens. 20th June/2024: Deadline for challenge submissions. 28th June 2024: Paper submission closes. 12th July: Acceptance notification. 26th July: early release of evaluation results. 1st August 2024: camera-ready paper. The AVSEC Challenge sets the first benchmark in the field by providing a carefully crafted dataset and scalable protocol for human listening evaluation of audio-visual speech enhancement systems. The open AVSEC framework aims to foster collaborative research and innovation to facilitate the development and evaluation of next-generation audio-visual speech enhancement and separation systems, including multimodal assistive hearing and communication technologies. The success of the two previous editions of the Challenge (organized as part of IEEE SLT 2022 and IEEE ASRU 2023) demonstrates a consistent trend of system improvement, yet highlights an enduring intelligibility gap when compared to clean speech. We anticipate that the third edition will further enhance system performance and provide a networking and collaborative platform for deliberating on the scope, challenges and opportunities in co-designing and evaluating future speech and hearing technologies. To register for the challenge please follow the guidelines on the website: https://challenge.cogmhear.org/#/getting-started/register We welcome submissions from participants of the second (AVSEC-2) and third editions (AVSEC-3) of the Challenge and also invite submissions on related research topics, including but not limited to the following: - Low-latency approaches to audio-visual speech enhancement and separation. - Human auditory-inspired models of multi-modal speech perception and enhancement. - Energy-efficient audio-visual speech enhancement and separation methods. - Machine learning for diverse target listeners and diverse listening scenarios. - Audio quality and intelligibility assessment of audio-visual speech enhancement systems. - Objective metrics to predict quality and intelligibility from audio-visual stimuli. - Understanding human speech perception in competing speaker scenarios. - Clinical applications and live demonstrators of audio-visual speech enhancement and separation, (e.g. multi-modal hearing assistive technologies for hearing-impaired listeners; speech-enabled communication aids to support autistic people with speech disorders). - Accessibility and human-centric factors in the design and evaluation of innovative multimodal technologies, including multi-modal corpus development, public perceptions, ethics considerations, standards, societal, economic and political impacts. Accepted Workshop papers (both short 2-page and full-length papers of 4-6 pages) will be published in ISCA Proceedings. Authors of selected papers (including winners and runner-ups of each Challenge Track) will be invited to submit significantly extended papers for consideration in a Special Issue of the IEEE Journal of Selected Topics in Signal Processing (JSTSP) on "Deep Multimodal Speech Enhancement and Separation" - CFP available below and here: https://signalprocessingsociety.org/publications-resources/special-issue-deadlines/ieee-jstsp-special-issue-deep-multimodal-speech-enhancement-and-separation - full manuscript submission deadline: 30 Sep 2024) CFP: IEEE Journal of Selected Topics in Signal Processing (JSTSP) Special Issue on: Deep Multimodal Speech Enhancement and Separation https://signalprocessingsociety.org/publications-resources/special-issue-deadlines/ieee-jstsp-special-issue-deep-multimodal-speech-enhancement-and-separation Manuscript Due: 30 September 2024 Publication Date: May 2025 Scope Voice is the most commonly used modality by humans to communicate and psychologically blend into society. Recent technological advances have triggered the development of various voice-related applications in the information and communications technology market. However, noise, reverberation, and interfering speech are detrimental for effective communications between humans and other humans or machines, leading to performance degradation of associated voice-enabled services. To address the formidable speech-in-noise challenge, a range of speech enhancement (SE) and speech separation (SS) techniques are normally employed as important front-end speech processing units to handle distortions in input signals in order to provide more intelligible speech for automatic speech recognition (ASR), synthesis and dialogue systems. Emerging advances in artificial intelligence (AI) and machine learning, particularly deep neural networks, have led to remarkable improvements in SE and SS based solutions. A growing number of researchers have explored various extensions of these methods by utilising a variety of modalities as auxiliary inputs to the main speech processing task to access additional information from heterogeneous signals. In particular, multi-modal SE and SS systems have been shown to deliver enhanced performance in challenging noisy environments by augmenting the conventional speech modality with complementary information from multi-sensory inputs, such as video, noise type, signal-to-noise ratio (SNR), bone-conducted speech (vibrations), speaker, text information, electromyography, and electromagnetic midsagittal articulometer (EMMA) data. Various integration schemes, including early and late fusions, cross-attention mechanisms, and self-supervised learning algorithms, have also been successfully explored. Topics This timely special issue aims to collate latest advances in multi-modal SE and SS systems that exploit both conventional and unconventional modalities to further improve state-of-the-art performance in benchmark problems. We particularly welcome submissions for novel deep neural network based algorithms and architectures, including new feature processing methods for multimodal and cross-modal speech processing. We also encourage submissions that address practical issues related to multimodal data recording, energy-efficient system design and real-time low-latency solutions, such as for assistive hearing and speech communication applications. Special Issue research topics of interest relate to open problems needing addressed These include, but are not limited to, the following. * Novel acoustic features and architectures for multi-modal SE (MM-SE) and multi-modal SS (MM-SS) solutions. * Self-supervised and unsupervised learning techniques for MM-SE and MM-SS systems. * Adversarial learning for MM-SE and MM-SS. * Large language model-based Generative approaches for MM-SE and MM-SS * Low-delay, low-power, low-complexity MM-SE and MM-SS models * Integration of multiple data acquisition devices for multimodal learning and novel learning algorithms robust to imperfect data. * Few-shot/zero-shot learning and adaptation algorithms for MM-SE and MM-SS systems with a small amount of training and adaptation data. * Approaches that effectively reduce model size and inference cost without reducing the speech quality and intelligibility of processed signals. * Novel objective functions including psychoacoustics and perceptually motivated loss functions for MM-SE and MM-SS * Holistic evaluation metrics for MM-SE and MM-SS systems. * Real-world applications and use-cases of MM-SE and MM-SS, including human-human and human-machine communications * Challenges and solutions in the integration of MM-SE and MM-SS into existing systems We encourage submissions that not only propose novel approaches but also substantiate the findings with rigorous evaluations, including real-world datasets. Studies that provide insights into the challenges involved and the impact of MM-SE and MM-SS on end-users are particularly welcome. Submission Guidelines Manuscripts should be original and should not have been previously published or currently under consideration for publication elsewhere. All submissions will be peer-reviewed according to the IEEE Signal Processing Society review process. Authors should prepare their manuscripts according to the Instructions for Authors available from the Signal Processing Society website. Follow the instructions given on the IEEE JSTSP webpage: and submit manuscripts. Important Dates Manuscript Submission Deadline: 30 September 2024 First Review Due: 15 December 2024 Revised Manuscript Due: 15 January 2024 Second Review Due: 15 February 2024 Final Decision: 28 February 2025 * Guest Editors ?For further information, please contact the guest editors at: Amir Hussain, Edinburgh Napier University, UK (Lead GE) Yu Tsao, Academia Sinica, Taiwan (co-Lead GE) John H.L. Hansen, University of Texas at Dallas, USA Naomi Harte, Trinity College Dublin, Ireland Shinji Watanabe, Carnegie Mellon University, USA Isabel Trancoso, Instituto Superior T?cnico, IST, Univ. Lisbon, Portugal Shixiong Zhang, Tencent AI Lab, USA We look forward to your submissions. Many thanks in advance, Prof Amir Hussain Edinburgh Napier University, Scotland, UK E-mail: A.Hussain at napier.ac.uk https://www.napier.ac.uk/people/amir-hussain http://cogmhear.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Mon Apr 1 03:23:41 2024 From: suashdeb at gmail.com (Suash Deb) Date: Mon, 1 Apr 2024 12:53:41 +0530 Subject: Connectionists: Submission deadline 3 months away (ISCMI 2024, Melbourne, Australia( Message-ID: Dear friends and esteemed colleagues, The submission deadline for 11th edition of ISCMI and technically co sponsored by IEEE Victorian Section and it's local IEEE CIS Chapter, the annual flagship event of llCCl, to be held in Melbourne, Australia is 3 months away https://www.iscmi.us It is high time for the potential authors to commence planning, if not already, towards submission. Will look forward to receiving your submissions in the coming days followed by hopefully, meeting you in Melbourne this year. Thank you and with kind regards, Suash Deb General Chair, ISCMI 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From announce at ucy.ac.cy Mon Apr 1 04:38:17 2024 From: announce at ucy.ac.cy (Announce) Date: Mon, 1 Apr 2024 08:38:17 +0000 Subject: Connectionists: 21st International Conference on Software and Systems Reuse (ICSR 2024): Last Call for Late-Breaking Results and Journal First Submissions Message-ID: *** Last Call for Late-Breaking Results and Journal First Submissions *** 21st International Conference on Software and Systems Reuse (ICSR 2024) June 19-20, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/icsr2024/ (*** Submission Deadline: April 8, 2024 AoE (firm) ***) The International Conference on Software and Systems Reuse (ICSR) is a biannual conference in the field of software reuse research and technology. ICSR is a premier event aiming to present the most recent advances and breakthroughs in the area of software reuse and to promote an intensive and continuous exchange among researchers and practitioners. The guiding theme of this edition is Sustainable Software Reuse. We now invite submissions for Late-Breaking Results (LBR) and Journal First. LATE-BREAKING RESULTS LBR submissions will be peer reviewed and the accepted ones will be included in the conference proceedings volume to be published by Springer in the LNCS series. An LBR submission may also contain innovative ideas that are being explored and have already shown some promising results. LBR submissions are expected to address one or more of the topics covered in the regular call for papers (https://cyprusconferences.org/icsr2024/call-for-papers/). LBR submissions should be no longer than 12 pages (including references) following the Springer Lecture Notes in Computer Science format. Submissions will be handled via EasyChair (https://easychair.org/my/conference?conf=icsr2024). Submissions will be **double-blindly** reviewed, meaning that authors should: ? Omit all authors' names and affiliations from the title page. ? Do not include the acknowledgement section, if there is any, in the submitted paper. ? Refer to the authors' work in the third person. ? Use anonymous GitHub, Zenondo, FigShare or equivalent to provide access to artefacts without disclosing the authors' identity. JOURNAL FIRST For Journal First, we solicit submissions related to articles that have been accepted for publication by a reputable journal and that meet the following criteria: ? The article relates to the topics of the ICSR conference and the recent call for papers. ? The article is an original submission to the journal and not an extension of an earlier conference or workshop paper. ? The article is an original research article; review articles or commentaries will not be considered. ? The article was accepted for publication by a journal on or after 1 January 2022, the acceptance must have been publicly announced, the article must be available at the publisher?s website (e.g., as ?articles in advance? or published on a journal?s website), and the article must be written in English. ? The article has not been presented at, and is not under consideration for, journal-first tracks of other conferences. Accepted submissions will be presented as part of the ICSR 2024 scientific programme. Submissions must be done electronically via Easy Chair (https://easychair.org/my/conference?conf=icsr2024) and include: ? Title and author information of the article. ? The original abstract and keywords. ? DOI of the original publication or, alternatively, a link to the publication at the journal's website. All submissions will be reviewed by the Program Chairs At least one author of each submission accepted for the Journal First track must register and attend the conference to present the work. The articles will be listed in the conference program and ICSR 2024 participants will have access to the respective abstracts and a pointer to the original journal article. IMPORTANT DATES ? LBR and Journal First submission: April 8, 2024, AoE (firm) ? Notification: April 29, 2024, AoE ? Camera Ready: May 6, 2024, AoE ? Author Registration: May 6, 2024 AoE ORGANISATION Steering Committee ? Eduardo Almeida, Federal University of Bahia, Brazil ? Goetz Botterweck, Lero, University of Limerick, Ireland ? Rafael Capilla, Rey Juan Carlos University, Spain ? John Favaro, Trust-IT, Italy ? William B. Frakes, IEEE TCSE committee on software reuse, USA ? Martin L. Griss, Carnegie Mellon University, USA ? Oliver Hummel, University of Applied Sciences, Germany ? Hafedh Mili, Universit? du Qu?bec ? Montr?al, Canada ? Nan Niu, University of Cincinnati, USA ? George Angelos Papadopoulos, University of Cyprus, Cyprus ? Claudia M.L. Werner, Federal University of Rio de Janeiro, Brazil General Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Program Co-Chairs ? Achilleas Achilleos, Frederick University, Cyprus ? Lidia Fuentes, University of Malaga, Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Mon Apr 1 19:59:39 2024 From: jkrichma at uci.edu (Jeffrey L Krichmar) Date: Mon, 1 Apr 2024 16:59:39 -0700 Subject: Connectionists: Paper Submission Deadline May 1st: From Animals to Animats: 17th International Conference on the Simulation of Adaptive Behavior (SAB 2024) Message-ID: <433EE66F-C1EA-450F-8239-3D440F79F929@uci.edu> Dear Connectionists, The submission deadline for SAB 2024 is one month away! More information can be found at: https://sites.uci.edu/sab2024/ CFP DEADLINE: From Animals to Animats: 17th International Conference on the Simulation of Adaptive Behavior (SAB 2024) CALL FOR PAPERS - SAB 2024 ------------------------------------------- The Simulation of Adaptive Behavior (SAB) interdisciplinary conference brings together researchers in artificial intelligence, artificial life, computer science, cybernetics, ethology, evolutionary biology, neuroscience, robotics, and many other fields, to further our understanding of the behaviors and underlying mechanisms that allow natural animals and artificial agents to adapt and survive in complex, dynamic and uncertain environments. Animats denote the connection between animals and synthetic agents. The conference focuses on models and experiments designed to help characterize and compare various organizational principles and architectures underlying adaptive behavior in real animals and in animats. SAB 2024 solicits contributions dealing with any aspect of adaptive behavior. We especially invite submissions from researchers who connect biology and natural behavior to synthetic agents. Conference papers are peer-reviewed and accepted papers will be published in ?From Animals to Animats 17. SAB 2024.? Lecture Notes in Artificial Intelligence, Springer Nature. Venue -------- CalIT2 Auditorium University of California, Irvine Irvine, CA 92697 USA Important Dates ??????????? May 1, 2024: Deadline for paper submission May 1, 2024: Deadline for Workshop and tutorial proposals June15, 2024: Notice of acceptance June 30, 2024: Camera-ready papers September 9-12: Conference dates Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma https://sites.uci.edu/sab2024/ From stevensequeira92 at hotmail.com Mon Apr 1 21:40:24 2024 From: stevensequeira92 at hotmail.com (steven gouveia) Date: Tue, 2 Apr 2024 01:40:24 +0000 Subject: Connectionists: Workshop CFA: Binary Morality: New Perspectives on AI Ethics In-Reply-To: References: Message-ID: CALL FOR ABSTRACTS Binary Morality: New Perspectives on AI Ethics Participation: Online and in-person. Fee: free. Date: 10th of May 2024 Venue: University of Hradec Kr?lov?, Philosophical Faculty Conference room SM4 Abstract submission deadline: 10th of April 2024 Notification of acceptance: 22nd of April 2024 Send your abstracts (and any questions) to: binarymorality.workshop at gmail.com Confirmed Speakers: Steven S. Gouveia Ph.D. (University of Porto) Tom?? H?ibek Ph.D. (Institute of Philosophy AS CR) Ond?ej Kr?sa Ph.D. (University of Pardubice) With the increasing ability of Artificial Intelligence (AI) and artificial agents, like large language models, the topic of AI safety is entering the public consciousness. As the capabilities of these systems improve, it is becoming clear that AI systems will have an impact on every aspect of our lives. Therefore, we should carefully consider how we will integrate these systems into our everyday dealings. Several theorists within the field of AI safety argue that what we face is an alignment problem, where we may develop artificial agents with motivations that are misaligned with our own. Among the concerns related to issues of AI safety, there is the possibility of existential risk presented by self-improving artificial agents. As AI may be the last human invention, we should think carefully about all the scientific, political, ethical, legal, and philosophical aspects that surround it. This workshop aims to explore whether we can formulate ethical standards that these systems should follow and how exactly we should integrate them into society. For that purpose, we seek to explore new perspectives on the issues that AI and related technologies generate. This workshop is primarily aimed at postgraduate students, but postdocs and more senior academics are also welcome. Topics and issues of interest include (but are not limited to): Artificial Agency and Moral Status of Robots/AI Programming Machine Ethics Artificial Intelligence, Robots, and Unemployment Political, legal and ethical consequences and consideration of non-human artificial agents Politics of AI, AI Governance Bias and Fairness in AI Transparency and Explainability of AI systems The Ethics of Big Data: The Right to be Forgotten and Data Privacy. Theoretical Foundations of Computer Ethics Embodied, Enactive, Extended and Embedded approaches to AI ethics Artificial General Intelligence and Friendly AI Existential Risk and Superintelligent AI Enhancement technologies, Transhumanism and AI How to submit your abstract: Please send your abstract in a file (preferably .docx word format) prepared for anonymous review. Your original abstract should be 150 to 250 words (bibliography excluded), written in English. Send a separate file containing your name, paper title, institutional affiliation, and position alongside your abstract. We accept submissions for physical and online talks. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcosmrai at gmail.com Mon Apr 1 15:45:07 2024 From: marcosmrai at gmail.com (marcosmrai) Date: Mon, 1 Apr 2024 16:45:07 -0300 Subject: Connectionists: Call for postdoc applications in AI applied in Finance at University of Campinas Message-ID: Dear colleagues, We are looking for a motivated postdoc with an interest in machine learning applied to fair and transparent credit scoring. Formal training in economics is not required; strong ML/AI/Statistics skills are an advantage. More details in the document: https://docs.google.com/document/d/12uaQlCiuuJXS7N1sFfvOJ4vsRUEkk2Nm8hB9Z7f-Lf4/edit?usp=sharing We would appreciate it if you could share the job ad with anyone you think might be interested. Deadline: April 7th, 2024 (late submissions are allowed) With many thanks and kind regards, -- Marcos M. Raimundo -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Mon Apr 1 22:49:33 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Tue, 2 Apr 2024 05:49:33 +0300 Subject: Connectionists: ICCNS2024 CFP (Co-Sponsored by IEEE): The International Conference on Intelligent Computing, Communication, Networking and Services, Dubrovnik, Croatia. Message-ID: [Apologies if you got multiple copies of this invitation] The International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2024) https://iccns-conference.org/2024/index.php 24-27 Sept. 2024 | DUBROVNIK, CROATIA. Technically Co-Sponsored by IEEE Croatia section *ICCNS 2024 CFP:* With the advancements in wireless communication systems like Fifth Generation (5G), beyond 5G (B5G) and the Sixth Generation (6G), new and unprecedent services will be available for users with nearly unlimited capacity. These services will be the core driver of the future digital transformation of our cities and communities. This will be accompanied by a ubiquities deployment of the Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and at the cloud. The computing infrastructure will be handling the processing of the data generated by the users and services. Such a complex and diverse system will require an efficient and sustainable applications running on the computing\Networking infrastructure and also a smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role on the design, deployment, automation and management of the future services. This will include the applications that will be running on the edge and the cloud servers, the networking applications to handle the flow of data between the users and the computing system and the intelligent automation and management software operating on the system. The International Conference on Intelligent Computing, Networking and Services is aiming to provide an opportunity to present the state of the art research in the intersections of Computing, Networking and Services that is supported by Artificial Intelligence. Researchers from both the industry and academia are encouraged to submit their original research contributions in all major areas, which include, but not limited to: - Track 1: Artificial Intelligence Fundamentals - Track 2: Intelligent Internet of Things and Cyber-Physical Systems - Track 3: Edge Intelligence and Federated Learning - Track 4: Intelligent Networking in Beyond 5G (B5G) and 6G Wireless Communication - Track 5: Intelligent Big Data Management and Processing - Track 6: Intelligent Security and Privacy - Track 7: Blockchain Research & Applications for Intelligent Networks and Services *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICCNS Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates:* - *Paper submission deadline: May 15, 2024 * - Notification of acceptance: August 5, 2024 - Camera-ready Submission: August 25, 2024 *Contact:* Please send any inquiry on ICCNS to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcosmrai at gmail.com Mon Apr 1 15:47:15 2024 From: marcosmrai at gmail.com (marcosmrai) Date: Mon, 1 Apr 2024 16:47:15 -0300 Subject: Connectionists: Call for post-doc applications in LLMs applied to code at University of Campinas Message-ID: Dear colleagues, We are looking for a motivated postdoc with an interest in LLMs applied to code. Strong ML/AI/Statistics skills are an advantage. More details are attached. We would appreciate it if you could share the job ad with anyone you think might be interested. How to apply: Please send your curriculum vitae and a cover letter with a maximum of two pages (English) in the following form: https://forms.gle/6qxsTp13wufBaHAV7. Applicants should also provide at least two reference letters to be sent directly by the referees to mraimundo at ic.unicamp.br before the deadline. Deadline: April 5th, 2023 (late submissions are allowed) With many thanks and kind regards, -- Marcos M. Raimundo -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2024-02_PostDoc_Call_IC-UNICAMP_Inmetrics-2.pdf Type: application/pdf Size: 59778 bytes Desc: not available URL: From v.steuber at herts.ac.uk Tue Apr 2 06:08:09 2024 From: v.steuber at herts.ac.uk (Volker Steuber) Date: Tue, 2 Apr 2024 10:08:09 +0000 Subject: Connectionists: PhD Studentships in Computational Neuroscience at the University of Hertfordshire, UK In-Reply-To: References: Message-ID: PhD Studentships in Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire, UK Application deadline 1 May 2024 Bursary ?19,632 per annum bursary plus the payment of the student fees Applications are invited from candidates with excellent first degrees in computer science, engineering, physics, maths, biology, neuroscience or other relevant disciplines to join projects as research students. Projects are available in (but not limited to): Computational Modelling of Homeostatic Plasticity Mechanisms for Functional Recovery of Neuronal Networks after Peripheral Lesions (supervisors Dr Muhammad Yaqoob, Dr Ankur Sinha, UCL, Dr Christoph Metzner, Technical University Berlin, Prof Volker Steuber). Mathematical Modelling of Microglia and the Neuroimmune System (supervisors Dr Alireza Poshtkohi, Prof Volker Steuber). Research in Computer Science at the University of Hertfordshire has been recognised as excellent in REF 2021, with 90% of the research submitted and all of the research impact rated as internationally excellent or world leading. The University of Hertfordshire provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. For informal enquiries contact Prof Volker Steuber (v.steuber at herts.ac.uk), Dr Mohammad Yaqoob (m.yaqoob3 at herts.ac.uk) or Dr Alireza Poshtkohi (a.poshtkohi at herts.ac.uk). Detailed project descriptions and an application form can be found at: https://www.herts.ac.uk/study/schools-of-study/physics-engineering-and-computer-science/engineering-and-computer-science/research-in-engineering-and-computer-science/the-phd-programme-in-computer-science Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk ________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Tue Apr 2 09:36:12 2024 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Tue, 2 Apr 2024 13:36:12 +0000 Subject: Connectionists: Three 4-year postdocs (one senior post) in robotics / AI / NLP at the University of Manchester (ERC project) Message-ID: University of Manchester, UK ERC Advanced grant ?eTALK? Three 4-year postdocs in robotics / AI / NLP Three 4-year postdoctoral positions are available at the Cognitive Robotics Lab of Manchester University (Cangelosi?s Lab). These are part of the new ERC Advanced grant ?eTALK? on language learning and abstract concept grounding in robots. This is a project awarded by the European Research Council and funded by the UKRI. One post can be appointed as senior Postdoc Research Fellow level. For more info, and to apply online for the posts, see the two links below Postdoctoral Research Associate in Cognitive Robotics and Artificial Intelligence (ERC eTALK) (2 posts, one as senior postdoc) Postdoctoral Research Associate in Natural Language Processing and Cognitive Robotics (ERC eTALK) Deadline for applications is 22 April 2024. Ciao, Angelo Cangelosi -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Tue Apr 2 09:59:47 2024 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Tue, 2 Apr 2024 15:59:47 +0200 Subject: Connectionists: =?utf-8?q?Optics_and_Microscopy_Workshop=2C_Goni?= =?utf-8?q?=C4=85dz=2C_Poland_-_Deadline_April_10rh?= Message-ID: Dear Colleagues We would like to remind you that the deadline for registration to our Optics and Microscopy Workshop is April 10th! The workshop will be a *thorough, hands ? on introduction to optics and microscopy*. With our instructor, Fred Marbach from Crick Institute, we will start from absolute basics ? *photons, ray diagrams and lenses*; then move to building simple optical system, just to *end up building DIY bright-field and fluorescent microscopes.* We will image neurons (hopefully!), and understand every last bit of how that image came to be (this is a certainty!). During the workshop you will build an intuition for optics, allowing you to reason about optical systems found in the lab (and in publications): you will understand the equipment you are using on a much deeper level. Workshop will take place *May 10-12th in Goni?dz*, in Dw?r Bartla, overlooking the beautiful Biebrza river, which at this time of the year provides great opportunities for birdwatching. The deadline for registration is April 5th,* the cost of the workshop is EUR 250 (but we provide fee waivers if needed)*. The cost includes the r*egistration fee, accommodation, breakfast and lunch.* Please find the registration form and more info here - https://nenckiopenlab.org/optics-and-microscopy-workshop-2024/ Best! NOL Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From Louis at kairosresearch.com Tue Apr 2 11:55:06 2024 From: Louis at kairosresearch.com (Louis Marti) Date: Tue, 2 Apr 2024 15:55:06 +0000 Subject: Connectionists: =?windows-1252?q?Industry_Job_Opening_=96_Cogniti?= =?windows-1252?q?ve_Data_Scientist?= Message-ID: Greetings, Kairos Research (https://kairosresearch.com) is a young and dynamic company based in Dayton, OH, conducting research at the intersection of human and machine cognition. We currently have an opening for a full-time Cognitive Data Scientist to help execute and grow our expanding portfolio of government-sponsored research in the human sciences. The Cognitive Data Scientist will play a major role in supporting our human performance data modeling and data analytics efforts with the Air Force Research Laboratory, as well as other projects that involve extracting insights from a wide variety of physiological and cognitive datasets (ranging from wearable sensors data to cognitive and behavioral performance data). The ideal candidate is a highly creative, self-motivated individual who possesses a deep understanding of leading-edge techniques in data science, statistical modeling, and/or machine learning. Candidates who have experience working with hidden Markov models (HMMs) ? in particular, experience using HMMs to model a user?s cognitive state (e.g., workload, fatigue, stress, attention) ? are especially of interest. The candidate should also possess a strong publication record and a willingness and ability to seek independent research funding. Additionally, because Kairos is a small company with a highly collaborative work culture, we especially seek candidates who are outgoing and enjoy interacting with their colleagues and with our government sponsors. Other recent Kairos projects span topics such as explainable AI, trust in automation, human-robot interaction, the cognitive science of intelligence analysis, and the identification and tracking of influence narratives on social media. In addition to the Air Force, our current and past sponsors include organizations such as DARPA, IARPA, the Office of Naval Research, the Army SBIR Program, the National Institutes of Health, and Special Operations Command. [Note that prior experience working on projects funded by the Department of Defense (DoD) and/or related to national security is a strong plus but is not required for this position.] NOTE: This is a great opportunity for an academic research scientist who is seeking a career change but who wants to continue pursuing original research! JOB LOCATION: Dayton, OH REQUIRED: 1. US citizenship or green card. 2. PhD in Cognitive Science, Computer Science, Engineering, Psychology, Neuroscience, Social-Behavioral Sciences, Human Factors, or related discipline (the specific field of study is less important than the candidate?s experience and skills). 3. Experience with advanced regression techniques, including hierarchical models, nonlinear models, multivariate (i.e., multiple outcomes) models, mixture models, and ensemble models?all in the context of a variety of outcome types (e.g., binary choices, Likert ratings, response times, etc.). 4. 3+ years research experience (includes postdoctoral research). 5. Excellent written and oral presentation skills. 6. A highly collaborative mindset. PREFERRED: 1. Familiarity and experience with methods for analyzing noisy, high-dimensional data, including various dimensionality reduction methods (PCA, t-SNE, etc.). 2. Familiarity with contemporary machine learning techniques, including deep neural networks, especially as applied to natural language processing. 3. Experience leading and/or contributing substantially to successful research proposals (need not be defense-related; could include NSF, NIH, etc.). CONTACT: Interested candidates should email their CV/resume to Dr. Louis Marti (louis at kairosresearch.com) cc: techadmin at kairosresearch.com Louis Marti, PhD (he/him) Cognitive Data Scientist Kairos Research LLC C: (201) 926-2401 | O: (937) 640-3998 E: louis at kairosresearch.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeevankumar.gochhayat at students.iiserpune.ac.in Wed Apr 3 02:43:05 2024 From: jeevankumar.gochhayat at students.iiserpune.ac.in (Jeevan Kumar Gochhayat) Date: Wed, 3 Apr 2024 12:13:05 +0530 Subject: Connectionists: Applications are now open for CAMP2024 (with repost apologies) Message-ID: Dear All, Applications for CAMP 2024 are now open ! . CAMP (Computational Approaches to Memory and Plasticity) summer school is a two-week program that provides Ph.D. students and postdocs with training in the areas of learning, memory, and plasticity in the brain. The program will take place between 1st and 17th July 2024 at IISER Pune , India. Deadline for application submission is 23rd April ,2024. Apply now at https://campiiser.com/ Please circulate the course information among labs/departments/students that might be interested. You can also follow us on X (formerly Twitter) : https://x.com/camp_course?t=p_3pXlqRl3yNmRgb83_AMQ&s=09 CAMP invites Ph.D. students, master?s students, final-year undergraduates, and postdocs worldwide from all backgrounds to CAMP at Pune. At this intensive 17-day course, students will be trained in theoretical and computational modeling of memory and plasticity in the brain, spanning different scales of space, time, and complexity. This year?s flavor of CAMP will be Data-Driven Neuroscience. The course will have lectures, hands-on tutorials, and projects to launch students into the exciting field of computational neuroscience. Accommodation and meals will be covered for the participants. More details on the poster. [image: CAMP2024-1200x1777.png] For more information please visit https://campiiser.com/ or email us at: camp at acads.iiserpune.ac.in On behalf of the organisers, Aravind Kumar Collins Assisi Rishikesh Narayanan Suhita Nadkarni Upi Bhalla -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CAMP2024-1200x1777.png Type: image/png Size: 453656 bytes Desc: not available URL: From interdonatos at gmail.com Wed Apr 3 04:50:25 2024 From: interdonatos at gmail.com (Roberto Interdonato) Date: Wed, 3 Apr 2024 10:50:25 +0200 Subject: Connectionists: CFP: Workshops in conjunction with FRCCS 2024, Montpellier, France May 28, 2024 Message-ID: CFP: Workshops in conjunction with FRCCS 2024, Montpellier, France May 28, 2024 We encourage researchers to participate in the FRCCS 2024 workshops to share their insights and foster interdisciplinary collaborations in the study of complex systems. *Workshops* ? Modeling Cities and Regions as Complex and Evolving Systems ? Beauty in Complexity ? Network Sparsification & beyond *Important dates* Submission Deadline: *April 14* Final Decisions Released:* April 17* Camera-Ready Deadline: *April 30* *1)* *Modeling Cities and Regions as Complex and Evolving Systems* Cities consist of interacting entities, such as people and infrastructure, and exhibit emergent properties, which appear additionally to the sum of the isolated properties. This makes cities a prime example of complex systems. Accordingly, complexity theories and methods are particularly relevant to their study. By focusing on the commonalities that underpin urban systems, the workshop seeks to foster interdisciplinary dialogue and explore novel approaches to studying cities as complex entities. *More info at: * *https://iutdijon.u-bourgogne.fr/ccs-france/workshop-on-modeling-cities-and-regions-as-complex-and-evolving-systems/* *Workshop chair* *Daniela Cialfi - NRCouncil of Italy - **danielacialfi at gmail.com* *2)* *Beauty in Complexity* The Beauty in Complexity exhibition invites researchers to share the visual wonders of their work with a wide and diverse audience. Whether it's a photograph, diagram, visualization, or montage, we encourage submissions that evoke curiosity and wonder. We seek captivating visuals showcasing the beauty found within complex systems research. More info at: https://iutdijon.u-bourgogne.fr/ccs-france/beauty-in-complexity/ *Workshop chairs* Benjamin Renoust - *Median Technologies,- **renoust at gmail* *.com *Arnaud Sallaberry - *LIRMM *- *arnaud.sallaberry at lirmm.fr* *3)* *Network Sparsification & beyond* Numerous algorithms are designed to construct simpler or smaller network representations to address scalability and performance issues. This workshop aims to bring together researchers working on the broad theme of network simplification and discuss graph reduction methods and their applications. More info at: https://iutdijon.u-bourgogne.fr/ccs-france/complex-network-sparsification/ *Workshop chairs* Hamida Seba -* University Lyon 1- **Hamida.seba at univ-lyon1.fr* Hocine Cherifi* - University of Burgundy - **hocine.cherifi at u-bourgogne.fr* -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.hutt at inria.fr Wed Apr 3 05:33:30 2024 From: axel.hutt at inria.fr (Axel Hutt) Date: Wed, 3 Apr 2024 11:33:30 +0200 (CEST) Subject: Connectionists: PhD thesis in Strasbourg : Improving visual attention by Computerized Cognitive Training Message-ID: <881833222.69067266.1712136810399.JavaMail.zimbra@inria.fr> ------------------------------------------------------------------------------------ PhD thesis: Improving visual attention by Computerized Cognitive Training ------------------------------------------------------------------------------------ Background: Attention deficit is a typical symptom of several neuropsychiatric disorders, such as schizophrenia, Parkinson's disease and attention-deficit/hyperactivity disorder. A good candidate for low-technology stimulation is Computational Cognitive Training (CCT) which involves performance feedback in real time. To improve visual attention by CCT, it is important to understand underlying neural processes in such a feedback scheme. Objectives: Our project will elucidate underlying functional networks during visual attention subjected to CCT and yields insights into an optimal choice of experimental adaptive training parameters. By combining behavioral, MRI- and EEG-experiments as well as computational neural modeling, this project will work out a neural model for CCT and consequently will come up with an optimal training protocol for single subjects to improve visual attention. Candidate Profile: Scientist or engineer with a background in computer science and/or neuroscience. The candidate should also possess strong skills in scientific programming. Host laboratory: This PhD thesis will be carried out at the ICube laboratory and the INRIA-team MIMESIS on the H?pital Civil site in Strasbourg, France. The PhD student will actively participate in all stages of the project, including data acquisition and analysis and model development. Expected starting date: October 2024. How to apply: Email a CV, grades and rank of Master?s degree, and a motivation letter to Dr. Axel Hutt (axel.hutt at inria.fr). Interviews of the selected applicants will be done on an ongoing basis. Applications will be accepted until end of April 2024. -- Axel Hutt Directeur de Recherche Equipe MIMESIS INRIA Nancy Grand Est B?timent IHU 1, Place de l'Hopital 67000 Strasbourg, France [ https://mimesis.inria.fr/members/axel-hutt/ | https://mimesis.inria.fr/members/axel-hutt/ ] -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.K.Seth at sussex.ac.uk Wed Apr 3 07:00:04 2024 From: A.K.Seth at sussex.ac.uk (Anil Seth) Date: Wed, 3 Apr 2024 11:00:04 +0000 Subject: Connectionists: positions available in consciousness research: 2x postdoc and 3x PhD Message-ID: <3DCAEEA8-E124-45AE-8AA8-B161E99BF25B@sussex.ac.uk> Apologies for cross posting: 2x Postdoc and 3x PhD new positions now available at Sussex! Do you have a strong background in cognitive and computational neuroscience and a desire to contribute to the cutting edge of consciousness research? Two postdoctoral research positions and three PhD positions are now available at the Sussex Centre for Consciousness Science (SCCS; https://www.sussex.ac.uk/research/ccs/). The SCCS is a University of Sussex Centre of Excellence and an internationally prominent group in consciousness science, situated in the beautiful Falmer campus of Sussex University, and boasting enviable research facilities as well as strong collaborative links with a range of national and international partners. The positions are supported by an ERC Advanced Investigator Grant (project CONSCIOUS; 2 postdocs and 2 PhDs) to Anil Seth, and by the SCCS, via the School of Informatics and Engineering (1 PhD). The postdoc positions funded for 2 years with possible extension for another 2, starting as soon as suitable candidates are identified. The PhD positions are fully funded (for both UK and overseas candidates) for 3.5 years, starting in September 2024 (earlier start may be negotiable). The ERC positions are all within the broad remit of computational (neuro)phenomenology, exploring different applications of a predictive processing view of conscious perception. One of the ERC PhD positions will focus on perceptual diversity, analysing and extending our unique Perception Census project (https://perceptioncensus.dreamachine.world/). The SCCS PhD is flexible in terms of project focus and supervisor; here, we invite PhD proposals that have a computational/informatics element. *Updated Deadline*. Apply by April 26 for all positions. Further details, including how to apply, are here: https://www.sussex.ac.uk/research/centres/sussex-centre-for-consciousness-science/people/join-us ------------------------------------------- Anil K. Seth, D.Phil. Professor of Cognitive and Computational Neuroscience, University of Sussex Director, Sussex Centre for Consciousness Science, University of Sussex Co-Director, Canadian Institute for Advanced Research, Program on Brain, Mind, and Consciousness Advanced Investigator, European Research Council Editor-in-Chief, Neuroscience of Consciousness www.anilseth.com @anilkseth [Being You Pb Digital Assets v1 Email copy.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Being You Pb Digital Assets v1 Email copy.png Type: image/png Size: 58001 bytes Desc: Being You Pb Digital Assets v1 Email copy.png URL: From wanling.cai at tcd.ie Wed Apr 3 08:22:45 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Wed, 3 Apr 2024 12:22:45 +0000 Subject: Connectionists: ACM UMAP 2024 - 4th Call for Late-Breaking Results and Demos Message-ID: * We apologize if you receive multiple copies of this CfP * * Online version: https://www.um.org/umap2024/call-for-lbr-and-demos/ ACM UMAP 2024 - Call for Late-Breaking Results and Demos ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 The 32nd International Conference on User Modeling, Adaptation, and Personalization (ACM UMAP 2024) is the premier international conference for researchers and practitioners working on systems that adapt to individual users or groups of users, and that collect, represent, and model user information. ACM UMAP 2024 is sponsored by ACM SIGCHI and SIGWEB. User Modeling Inc., as the core Steering Committee, oversees the conference organization. ACM UMAP operates under the ACM Conference Code of Conduct. The proceedings, published by ACM, will be part of the ACM Digital Library. ACM UMAP 2024 invites Late-Breaking Results (LBR) papers as well as Demonstrations (demos) of innovative UMAP-based systems (including research prototypes). The topics for these submissions are the same as the ones included in the Call for Full and Short Papers. However, their scope and timing is different. In particular, although short papers (from the main track) and the LBR papers of this call have the same maximum length, LBR papers are expected to present innovative ideas that are being explored and have already shown some promising results. It is also a dissemination channel for new research directions. Mature results which have already gone through experimental validation are more suitable for the general call, either as a full or short paper. Thus, rejected papers from the main track are not expected to be a valuable contribution as an LBR paper unless their contents are revised to address the scope of this track. Note also that LBR papers are to be presented physically during the conference in a poster format, allowing for more informal discussions on the ideas shared. Demos are intended to present systems that have been used to achieve the research outcomes presented as full and short papers. Thus, we highly recommend authors of accepted full and short papers to also prepare a submission for a demo of their system to be showcased at the conference in the LBR and Demo session. ** Important Dates ** * Submission: April 18, 2024 * Notification: May 9 2024 * Camera-ready Submission (TAPS system): May 16, 2024 * Conference: July 1 ? 4, 2024 Note: The submissions deadlines are at 11:59 pm AoE (Anywhere on Earth) time. ** Submission ** All submissions must be written in English. Papers should be submitted electronically, in a PDF format, through the EasyChair submission system, https://easychair.org/conferences/?conf=umap24, by selecting the ?UMAP24 Late Breaking Results and Demo Papers? track ** Length and Formatting ** -- Late-Breaking Results Format -- * Page Limits. Up to 7 pages, plus up to 2 additional pages for references (figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit). * Proceedings. Publication in ACM UMAP 2024 adjunct proceedings. * Presentation. Physically presented as a poster during the conference. * Description. LBRs are research-in-progress that must contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing both the theory and practice of UMAP. In addition, papers introducing recently started research projects or summarizing project results are welcome as well. We encourage researchers and practitioners to submit late-breaking work as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. In case that papers rejected in the main track (i.e. submitted as full or short papers) are submitted to this track, they should be revised not only to take into account the comments made to help improve the paper, but to fulfill the scope of the LBR, which emphasizes novelty of ideas. This is also valid for papers that have been recommended as an LBR when rejected in the main track. -- Demos Format -- * Page Limits *. Up to 5 pages, plus up to 1 additional page for references (figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit). On an extra page (not to be published), submissions should include a specification of the technical requirements for demonstrating the system at UMAP 2024. * Supporting Material *. Video or external material demonstrating the system. * Proceedings *. Publication in ACM UMAP 2024 adjunct proceedings. * Presentation * . Physically presented as a demo plus as a poster during the conference. * Description *. Demos will showcase research prototypes and commercially available products in a dedicated session. Demo submissions must be based on an implemented and tested system that pursues one or more innovative ideas in the interest areas of the conference. Demonstrations are an excellent and exciting way to showcase implementations and get valuable feedback from the community, especially for those papers that have been presented in the main track. Each demo submission must make clear which aspects of the system will be demonstrated, and how these will be demonstrated on-site as well as online. To better identify the value of demos, we also encourage authors to submit a pointer to a screencast (max. 5 minutes on Vimeo or YouTube) or any external material related to the demo (e.g., shared code on GitHub). *Non-Anonymity.* Submissions will be reviewed single-masked (i.e., authors? names should be included in the papers) thus there is no need to be anonymized before submission. *Template for the Research Description.* Following the ACM Publication Workflow, all authors should submit manuscripts for review in the new ACM single-column format. Instructions for authors are given below: * LaTeX (use \documentclass[manuscript, review, anonymous]{acmart} in the sample-authordraft.tex file for single-column). Please carefully follow the ACM?s instructions for preparing your article with LaTeX. * Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column). Please carefully follow the ACM?s instructions for preparing your article with Overleaf. * Word. Please carefully follow the ACM?s instructions for preparing your article with Microsoft Word Should you have any questions or issues going through the instructions above, please contact support at acmtexsupport at aptaracorp.com for LaTeX and Microsoft Word inquiries. * Accessibility.* Authors are strongly encouraged to provide ?alt text? (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author and it broadens the reader base for the author?s work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats. Additionally, authors should follow the ACM Accessibility Recommendations for Publishing in Color and SIG ACCESS guidelines on describing figures. ** Review Process & Camera-ready Submission ** * Review * Submissions will be reviewed by at least two independent reviewers. They will be assessed based on their originality and novelty, potential contribution to the research field, potential impact in particular use cases, and the usefulness of presented experiences, as well as their overall readability. Papers that exceed the page limits or do not adhere to the formatting guidelines will be returned without review. The ACM Code of Ethics gives the UMAP program committee the right to (desk-)reject papers that perpetuate harmful stereotypes, employ unethical research practices, or uncritically present outcomes/implications that clearly disadvantage minority communities. Further, reviewers will be explicitly asked to consider whether the research was conducted in compliance with professional ethical standards and applicable regulatory guidelines. Failure to do so could lead to a (desk-)rejection. *Camera-ready Information.* Accepted papers will be subject to further revision to meet the requirements of the camera-ready format required by ACM. We strongly recommend the usage of LaTeX/Overleaf for the camera-ready papers to minimize the extent of reformatting. Users of the Word template must use either the version for Microsoft Word for Windows, Macintosh Office 2011, or Macintosh Office 2016 (other formats such as Open Office, etc., are not admitted) for the camera-ready submission to avoid incompatibility issues. Instructions for preparing the camera-ready versions of accepted papers will be provided after acceptance. This might include instructions to prepare a video of the accepted contribution. Camera-ready versions of accepted papers will be later submitted using ACM?s new production platform where authors will be able to review PDF and HTML output formats before publication. ** Registration and Presentation Policy ** Each accepted paper must be accompanied by a distinct full author registration, completed by the early registration date cut-off. Each accepted paper must be presented in person to be included in the conference adjunct proceedings, published by ACM and available via the ACM Digital Library. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of UMAP 2024. The official publication date affects the deadline for any patent filings related to published work. During the conference, all categories will be presented at the poster reception, in the form of a poster and/or a software demonstration following poster format. This form of presentation will provide presenters with an opportunity to obtain direct feedback about their work from a wide audience during the conference. *Grants and Support* To help students and early career researchers attend ACM UMAP 2024, we are able to provide several grants for participants at ACM UMAP 2024. * Category 1: Discounted Registration Rates * Category 2: Gary Marsden Travel Awards (GMTA) * Category 3: ACM UMAP 2024 Grants More information can be found in https://www.um.org/umap2024/grants-and-support/. Please refer to the website information, to learn the eligibility and application process for each category. ** Late-Breaking Results and Demos Chairs ** * Bamshad Mobasher, DePaul University, USA * Hanna Hauptmann, Utrecht University, Netherlands * Olga C. Santos, Universidad Nacional de Educacion a Distancia (UNED), Spain Contact information: umap2024-lbr at um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From davide.coraci at imtlucca.it Wed Apr 3 08:24:52 2024 From: davide.coraci at imtlucca.it (Davide Coraci) Date: Wed, 3 Apr 2024 14:24:52 +0200 Subject: Connectionists: Call for participants -- WasON study Message-ID: Dear list members, We are recruiting participants worldwide and it would be fantastic if you could take part in the WasON study. The aim of the study is to investigate how *neuroscientists* and researchers (psychologists, cognitive scientists, philosophers, etc.) with some familiarity with neuroimaging techniques draw associations between *cognitive processes* and *fMRI data* observed experimentally. The study has been developed by the SANe and the MInD units (MoMiLab research group at IMT School Lucca, Italy) and can be found here: https://www.sane-elab.eu/NRIA/welcome.php. The questionnaire can be completed through PC or smartphone (however, the use of the PC is warmly suggested to visualize the fMRI maps better). Collected data will be completely *anonymous*. Once the questionnaire is finished, you can *check your accuracy* and decide to continue with another set of questions. In this case, please do not close or restart the session, otherwise the system will create another participant ID. We ask you to complete the questionnaire individually. However, after completing the survey you may want to compare your score with one of your lab mates and colleagues. Feel free to forward the link to anyone you think could be interested. If you have any questions or just want to be updated with the results of the study, please do not hesitate to contact us (davide.coraci at imtlucca.it). Thank you very much for your availability and your time. All the best, Davide Coraci -- Davide Coraci Phd Student IMT School for Advanced Studies Lucca MoMiLab - *Molecular Mind Laboratory* MInD - *Models, Inference, and Decisions * https://www.davidecoraci.com/welcome.php -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Wed Apr 3 15:55:53 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Wed, 3 Apr 2024 22:55:53 +0300 Subject: Connectionists: IDSTA CFP (Co-Sponsored by IEEE):Intelligent Data Science, 24-27 SEPT. 2024 DUBROVNIK, CROATIA Message-ID: Please accept our apologies if you receive multiple versions of this call through different channels. We would like to invite you to submit your work to our conference. The details are as follows. The International Conference on Intelligent Data Science Technologies and Applications (IDSTA2024) Co-Sponsored by IEEE https://conferences.ieee.org/conferences_events/conferences/conferencedetails/62194 24-27 SEPT. 2024 | DUBROVNIK, CROATIA https://idsta-conference.org/2024/ *Call for Full Papers:* Huge amount of Data is being generated and transmitted every day. To be able to deal with this data, extract useful information from it, store it, transmit it, and represent it, intelligent technologies and applications are needed. The International Conference on Intelligent Data Science Technologies and Applications (IDSTA) is a peer reviewed conference that will advance the Data Science field by giving an opportunity for researchers, engineers, and practitioners to present their latest findings in the field. It will also invite key persons in the field to share their current knowledge and their future expectations for the field. Topics of interest for submission include, but are not limited to: ? Data Science and Computer Science ? Data Science and Artificial Intelligence ? Data Science and Sustainability ? Data Science and Cybersecurity ? Data Science and Smart City ? Data Science and GPU Computing ? Data Science and Transparency in Research Data ? Data Science and Data and Information Quality ? Data Science and Crowdsourcing ? Data Science and Human Behaviour Understanding ? Data Science for Applied Public Affairs ? Data Science for Business Analytics ? Data Science for Finance ? Data Science and Environmental Science ? Data Science and Biotechnologies ? Data Science and Semi-Structured and Unstructured Data Publication: Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore?s scope and quality requirements. Earlier versions of the proceedings can be found on: DBLP and IEEE FULL PAPER IMPORTANT DATES ? Paper submission deadline: May 15, 2024 ? Notification of acceptance: August 5, 2024 ? Camera-ready Submission: August 25, 2024 *Call for workshop Proposals:* IDSTA will host a series of workshops and is also inviting new workshop proposals. The purpose of the workshops is to emphasize current and emerging topics of particular interest to the community. Proposal Format: Each workshop proposal must include (maximum 4 pages, in PDF format): ? Title of the workshop. ? Workshop organizers (name, affiliation, and short biography). ? Scope and topics of the workshop. ? Rationale: o Why the workshop is related to IDSTA. o Why the topic is important. o Why the workshop may attract a significant number of attendees. ? Workshop details: o A draft call for papers (including organizers, program committee, and steering committee if any). Organizers are expected to be fully committed and physically present at the workshop. o Workshop tentative schedule (number of expected papers, duration full/half day, format talks/posters, etc.). We encourage full-day events that demonstrate the interest of the community in the proposed topic and guarantee the commitment of the organizers. Half-day proposals are also welcome but expected to provide a rationale for the proposed duration. o Names of potential participants and invited speakers (if any). ? Workshop history: if there are past workshops, the history of the workshop. ? Proposals should be sent to info at idsta-conference.org. WORKSHOP PROPOSALS IMPORTANT DATES: Proposal submission deadline: May 15, 2024 Proposal acceptance notification: May 25, 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From khamassi at isir.upmc.fr Wed Apr 3 10:58:49 2024 From: khamassi at isir.upmc.fr (Mehdi Khamassi) Date: Wed, 3 Apr 2024 17:58:49 +0300 Subject: Connectionists: 2-years post-doc position in neuro-computational AI ethics, ISIR, Sorbonne University, Paris In-Reply-To: <11d7a962-0e39-49df-a14c-6a7da27c0346@sorbonne-universite.fr> References: <11d7a962-0e39-49df-a14c-6a7da27c0346@sorbonne-universite.fr> Message-ID: <93fb309d-65c1-4589-9286-d1d5e622be47@isir.upmc.fr> Context The CAVAA European project (https://cavaa.eu/) proposes to realize a theory of awareness instantiated as an integrated computational architecture and its components to explain awareness in biological systems and engineer it in technological ones. In a world governed by hidden states, awareness enables to deal with the ?invisible?, from unexplored environments (counterfactual pasts and futures) to social interaction that depends on the internal states of agents and moral norms. In particular, we will study such cognitive architecture agents? ability and propensity of reasoning, decision-making, or revisiting past experiences, but also reflecting upon what was right or wrong given some moral norms, and which possible future states could be right or wrong. CAVAA?s awareness engineering is accompanied by an ethics framework towards human users and aware artefacts in the broader spectrum of trustworthy AI, considering shared goals, counterfactuals and projections towards new future scenarios, and prediction of the impact of choices. CAVAA aims to deliver a better user experience because of its explainability, adaptability, and legibility. Location and environment The post-doc position will be located in the Institute of Intelligent Systems and Robotics (ISIR, http://www.isir.upmc.fr), Paris, France. ISIR belongs to Sorbonne Universit?, CNRS and INSERM, and is located in the center of Paris, thus at walking distance from the Seine river, from other academic institutions (La Sorbonne, Coll?ge de France, Mus?um d'Histoire Naturelle, Ecole Normale Sup?rieure, Universit? Paris Cit?, H?pital la Piti? Salp?tri?re), and from famous monuments (Notre Dame, Conciergerie, Panth?on, Th??tre du Ch?telet, Institut du Monde Arabe). Speaking or understanding French is not required. This work will be done in close collaborations with philosophers, engineers and computational neuroscientists of the CAVAA consortium. Profile We are looking for highly motivated candidates with a strong academic record. An excellent background is expected at the interface between computational neuroscience and machine learning. Significant experience in cognitive architectures and computational modeling for neuroscience, psychology, AI or cognitive robotics will be appreciated. Mastery of reinforcement learning and game theory, and advanced programming skills in modern C++ and python are required. A strong interest in philosophy of mind and moral philosophy is expected. Mission The post-doc work will focus on ethical reasoning through virtualization, deliberation and alignment with human values. The theoretical framework will be anchored on probabilistic model-based reinforcement learning, extended to include homeostatic, epistemic and social values, including social conventions and moral norms as starting point. Research will investigate learning through interaction with the environment and with other agents, social decision-making, mental simulation and counterfactual reasoning to inform humans about potential long-term consequences of actions. The model will be confronted to experimental data about human decision-making when confronted to various social and moral dilemmas. The model will be integrated into the CAVAA cognitive architecture and applied in artificial agents and robots in virtual and real-world scenarios involving spatial navigation and social interaction. To apply Applicants should send a CV, letter of motivation (max 2 pages), and a list of two references via e-mail to mehdi.khamassi at sorbonne-universite.fr and raja.chatila at sorbonne-universite.fr. Please put [CAVAA post-doc application] in the subject of the mail. Review of applications will begin immediately, and will continue until the position is filled. -- Mehdi Khamassi, PhD, HDR Research director (DR2), Centre National de la Recherche Scientifique Institute of Intelligent Systems and Robotics, Sorbonne Universit? ISIR - BC 173, 4 place Jussieu, 75005 Paris, France phone: +33 6 50 76 44 92 email: mehdi.khamassi at sorbonne-universite.fr https://pages2.isir.upmc.fr/mkhamassi/ Visiting Researcher at the Institute of Communication and Computer Systems National Technical University of Athens, Greece https://www.iccs.gr/en/?noredirect=en_US From xiao at gmu.edu Wed Apr 3 22:29:11 2024 From: xiao at gmu.edu (Xuesu Xiao) Date: Thu, 4 Apr 2024 02:29:11 +0000 Subject: Connectionists: [meetings] [news] One Month till Hard Submission Deadline: 3rd Benchmark for Autonomous Robot Navigation (BARN) Challenge -- ICRA 2024 Competition Message-ID: <3093A3D2-AE1C-48F2-A30B-C322D1DF586B@gmu.edu> Soft submission deadline has passed, but hard submission deadline is a month away! Submit by May 1 to be invited to participate in The 3rd BARN Challenge at ICRA 2024 in Japan! Submission Form: https://docs.google.com/forms/d/e/1FAIpQLSfZLMVluXE-HWnV9lNP00LuBi3e9HFOeLi30p9tsHUViWpqrA/viewform?usp=sf_link Competition Website: https://cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge24.html Participation Instructions: https://github.com/Daffan/nav-competition-icra2022 Lessons Learned from The BARN Challenge 2023: https://cs.gmu.edu/~xiao/papers/barn23_report.pdf Lessons Learned from The BARN Challenge 2022: https://cs.gmu.edu/~xiao/papers/barn22_report.pdf Dear roboticists, are you interested in agile robot navigation in highly constrained spaces with a lot of obstacles around, e.g., cluttered households or after-disaster scenarios? Do you think mobile robot navigation is mostly a solved problem? Are you looking for a hands-on project for your robotics class, but may not have (sufficient) robot platforms for your students? If your answer is yes to any of the above questions, we sincerely invite you to participate in our (3rd) ICRA 2024 BARN Challenge (https://cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge24.html)! The BARN Challenge aims at evaluating state-of-the-art autonomous navigation systems to move robots through highly constrained environments in a safe and efficient manner. The task is to navigate a standardized Clearpath Jackal robot from a predefined start to a goal location as quickly as possible without any collision. The challenge will take place both in the simulated BARN dataset and in physical obstacle courses at ICRA2024. 1. The competition task is designing ground navigation systems to navigate through all 300 BARN environments (https://cs.gmu.edu/~xiao/Research/BARN/BARN.html) and physical obstacle courses constructed at ICRA2024 as fast as possible without collision. 2. The 300 BARN environments can be the training set for learning-based methods, or to design classical approaches in. During the simulation competition, we will generate another 50 unseen environments unavailable to the participants before the competition. 3. We will standardize a Jackal robot in the Gazebo simulation, including a Hokuyo 2D LiDAR, motor controller of 2m/s max speed, etc. 4. Participants can use any approaches to tackle the navigation problem, such as using classical sampling-based or optimization-based planners, end-to-end learning, or hybrid approaches. We will provide baselines for reference. 5. A standardized scoring system is provided on the website. 6. We will invite the top teams in simulation to compete in the real world. The team who achieves the fastest collision-free navigation in the physical obstacle courses wins. If you are interested in participating, please submit your navigation system at https://docs.google.com/forms/d/e/1FAIpQLSfZLMVluXE-HWnV9lNP00LuBi3e9HFOeLi30p9tsHUViWpqrA/viewform?usp=sf_link Co-Organizers: Xuesu Xiao (George Mason University) Zifan Xu (UT Austin) Garrett Warnell (US Army Research Lab / UT Austin) Peter Stone (UT Austin / Sony AI) Sponsor: Clearpath Robotics, https://clearpathrobotics.com/ Thanks Xuesu ----------------------- Xuesu Xiao, Ph.D. -- Assistant Professor Department of Computer Science George Mason University xiao at gmu.edu https://cs.gmu.edu/~xiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Wed Apr 3 15:51:51 2024 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 3 Apr 2024 19:51:51 +0000 Subject: Connectionists: Call for Papers-- SBP-BRiMS'2024: Social Computing, Behavior-Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2024 17th International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 18-20, 2024 Will be held in hybrid mode (In-person in Pittsburgh, PA, USA) http://sbp-brims.org/ #sbpbrims The goal of this conference is to build a community of social cyber scholars by fostering interaction among members of the scientific, corporate, government and military communities interested in understanding, forecasting, and impacting human socio-cultural behavior in our quickly evolving social world of today. The conference values diverse disciplinary participation from the social, behavioral, physical, and computational sciences and welcomes a broad range of methodological approaches (agent-based models, online experiments, network science and social network analysis, and machine learning). All computational social science papers and panels are welcome. Some illustrative topics include: ??Social Cyber Security ??Trust in AI; Human-AI Interaction ??Blockchain and Privacy-Preserving Technologies ??Social Media Analytics and Network Science ??Online Collective Action, Social Movements, and Mob Dynamics ??Military in the Age of AI ??Cognition and Organization Theory ??Disinformation, Deepfakes, and Online Harms ??Applications (Healthcare, Economics, Government, Military, etc.) BEST PAPER AWARDS: All accepted and presented full papers will compete for Best Conference Paper Award and Best Student Paper Award. Only Student first author papers will be considered for the Best Student Paper Award. Papers will be evaluated on originality, technical merit, and significance to social-cyber applications. Winners will be announced at the conclusion of the conference and will have an opportunity to publish an extended version of their paper in the Computational and Mathematical Organization Theory (CMOT) special issue. IMPORTANT DATES: Full Paper Submission: 2-Jun-2024 Author Notification: 30-Jun-2024 Final Files Due : 14-Jul-2024 Panel/Tutorials/Working Paper due: 21-Jul-2024 Panel/Tutorial/Working Paper Notification: 4-Aug-2024 Final Files due: 1-Sep-2024 Challenge Response due: 21-Jul-2024 Challenge Notification: 4-Aug-2024 Final Files due: 1-Sep-2024 HOW TO SUBMIT : For information on paper submission, check here. You will be able to update your submission until the final paper deadline. PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. CHALLENGE PROBLEM: The conference will have a computational challenge as in previous years. Additional details are available at the conference Challenge website: http://sbp-brims.org/2024/challenge/. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of attendance scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Justus-prof at Piater.name Thu Apr 4 03:35:08 2024 From: Justus-prof at Piater.name (Justus Piater) Date: Thu, 04 Apr 2024 09:35:08 +0200 Subject: Connectionists: Full Professor Position in Edge AI at U. Innsbruck, Austria Message-ID: <87sf014m37.fsf@uibk.ac.at> The University of Innsbruck invites applications for the position of University Professor of Computer Science with focus on Edge AI AIM AT Endowed Professorship for Edge AI at the Department of Computer Science at the Faculty of Mathematics. Computer Science and Physics. It is a position in accordance with ? 98 of the Austrian Universities? Act (Universit?tsgesetz - UG) and will be based on a civil-law employment contract with the University on the basis of the Salaried Employees Act (Angestelltengesetz). The contract will be concluded for an unlimited period; the extent of employment is 100%. The tender takes place within the framework of an endowed professorship funded by the ?Artificial Intelligence Mission Austria Support Initiative (AIM AT F?rderinitiative)?, financed by the Austrian Future Fund, supported by the Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK). The position integrates into an attractive environment of existing activities including machine learning for robotics and computer vision, IoT Edge-Cloud-Computing, HPC and low-power sensor technologies. Responsibilities include research and teaching in the area of Edge AI, for example on the following topics: ? federated machine learning ? energy efficient and fault tolerant methods of machine learning ? elastic, scalable, flexible, secure and data protection-compliant edge computing ? load balancing, scheduling, optimization and resource planning ? algorithms and architectures for specific applications of edge AI, e.g. in traffic management, manufacturing or medical technology ? resource constrained embedded machine learning Collaborations with research groups at the Department of Computer Science, the Research Areas and in particular with the Digital Science Center of the University as well as with business, industry and international research institutions are expected. The candidate should reinforce or complement existing strengths of the Department of Computer Science. Teaching comprises courses in all degree programs of computer science, especially at the Bachelor level and in the area of artificial intelligence and edge computing. Additionally, supervision of Bachelor, Master and PhD theses is expected. This position also involves contributions to academic administration and self-governance as well as to the department?s and faculty?s working groups. Employment requirements include a) a degree in higher education in Austria or the equivalent abroad, pertinent to the position; b) pertinent habilitation or comparable qualification (e.g. senior lecturer, associate professor); c) publications in leading international peer-reviewed academic journals; d) proven competence in Edge AI methods; e) evidence of involvement in international research; f) relevant international experience; g) experience in acquiring and managing external research funds; h) experience in application oriented or interdisciplinary contexts i) pronounced teaching skills; j) management skills; k) the ability to teach in English; l) The ability to teach courses in German and English or, if necessary, the willingness to learn German for use in the context of university tasks. Your application must have arrived by *17.05.2024* at Universit?t Innsbruck Fakult?ten Servicestelle Standort Technikerstra?e 17, A-6020 Innsbruck (fss-technik at uibk.ac.at). The University of Innsbruck is committed to increasing the percentage of female employees especially in leading positions and therefore explicitly invites women to apply. In the case of equivalent qualifications, women will be given preference. In line with the Collective Bargaining Agreement professors are in remuneration group A 1, i.e., for a full-term professorship the basic salary is 6.362,50 Euro (14 times). Depending on qualification and experience a higher salary and facilities may be negotiated with the Rector. The university also offers attractive additional benefits (http://www.uibk.ac.at/universitaet/zusatzleistungen/). The application should include: a curriculum vitae with a description of your scholarly and professional career; a list of scientific publications, lectures and other academic work and projects, including projects funded by third parties; a description of completed, current and intended research; a teaching concept and the five most important works (full text or abstract). All documents have to be submitted in digital form (E-Mail with pdf attachment). The full, authoritative text in German (published in the official bulletin of the University of 03.04.2024) and up-to-date information on the state of the opening can be found here: https://www.uibk.ac.at/fakultaeten-servicestelle/standorte/technikerstrasse/berufung/mip/mip.html -- University of Innsbruck, Austria Head, Digital Science Center https://www.uibk.ac.at/disc/ Computer Science, Intelligent and Interactive Systems https://iis.uibk.ac.at/ From H.Bilen at ed.ac.uk Thu Apr 4 04:35:44 2024 From: H.Bilen at ed.ac.uk (Hakan Bilen) Date: Thu, 4 Apr 2024 08:35:44 +0000 Subject: Connectionists: PhD position in Computer Vision at University of Edinburgh Message-ID: <79BB591E-3690-426E-A31F-D92F61098B3C@ed.ac.uk> Greetings colleagues, We are seeking an exceptional PhD candidate to study at Visual Computing Group of the University of Edinburgh starting in September 2024. The successful candidate will have an opportunity to work on cutting-edge computer vision and machine learning research projects. The goal of this project is to synthesising anonymised training datasets. PhD candidate requirements. We are looking for creative and motivated applicants with, or expected to obtain soon a MSc degree with high marks in a relevant discipline, including Informatics, Computer Science, Electrical Engineering but not limited to. Excellent programming skills (python) and knowledge of deep learning libraries (PyTorch, Tensorflow) are required. Previous experience on machine learning and computer vision, for example generative models and meta-learning, and publications in top-tier conferences like CVPR, NeurIPS are appreciated but not a requirement. Funding. This is an industry funded award and will provide an annual stipend for the whole duration of the PhD (3.5 years) and plus University fees. Application. If you are interested in the position, please provide a CV, a personal statement detailing your research interests and reasons for applying (max 1 page), marks for your degree(s) and an email address for one academic reference. All documents should be in electronic format and sent via e-mail to Dr Hakan Bilen with the title [Prospective PhD] as soon as possible (Email: hbilen at ed.ac.uk). There is no application deadline. Hakan Bilen The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th' ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Thu Apr 4 04:02:42 2024 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Thu, 4 Apr 2024 10:02:42 +0200 Subject: Connectionists: The 2nd International Conference on Foundationand Large Language Models (FLLM2024) 26-29 November, 2024 | Dubai, UAE In-Reply-To: References: Message-ID: <9ff927db-90c7-408f-ba82-9b376085d82f@ai.univ-paris8.fr> [Apologies if you got multiple copies of this invitation] The 2nd International Conference on Foundation and Large Language Models (FLLM2024) https://fllm2024.fllm-conference.org/index.php 26-29 November, 2024 | Dubai, UAE Technically Co-Sponsored by IEEE UAE Section *_FLLM 2024?CFP:_* With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure. The International Conference on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics related to FLLMs, with special interest in but not limited to: * *Architectures and Systems* o Transformers and Attention o Bidirectional Encoding o Autoregressive Models o Massive GPU Systems o Prompt Engineering o Multimodal LLMs o Fine-tuning * *Challenges* o Hallucination o Cost of Creation and Training o Energy and Sustainability Issues o Integration o Safety and Trustworthiness o Interpretability o Fairness o Social Impact * *Future Directions* o Generative AI o Explainability and EXplainable AI o Retrieval Augmented Generation (RAG) o Federated Learning for FLLM o Large Language Models Fine-Tuning on Graphs o Data Augmentation * *Natural Language Processing Applications* o Generation o Summarization o Rewrite o Search o Question Answering o Language Comprehension and Complex Reasoning o Clustering and Classification * *Applications* o Natural Language Processing o Communication Systems o Security and Privacy o Image Processing and Computer Vision o Life Sciences o Financial Systems *_Submissions Guidelines and Proceedings_* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. __*_Important Dates:_* * *Paper submission deadline: June 30, 2024* * Notification of acceptance: September 15, 2024 * Camera-ready Submission: October 10, 2024 *_Contact:_* Please send any inquiry on FLLM to: info at fllm-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From heather at incf.org Thu Apr 4 06:23:34 2024 From: heather at incf.org (Heather Topple) Date: Thu, 4 Apr 2024 12:23:34 +0200 Subject: Connectionists: Neuroinformatics Assembly 2024: Keynote announcement, IP sessions, abstract submissions, & early bird registration Message-ID: *Neuroinformatics Assembly 2024: Keynote announcement,* *IP sessions, abstract submissions, & early bird registration* The INCF Assembly is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics. For the first time since 2019, we're hosting Assembly in-person! Assembly will run from Sep 23-25 in Austin, Texas, with training activities from Sep 26-27. This year's theme is Brain Meets AI: Pioneering the Future of Neuroinformatics. Abstract submission and early bird registration are open for INCF Neuroinformatics Assembly 2024 - make sure to register before Jun 28 to get the early bird price! Are you interested in presenting at Assembly 2024? We?re seeking 3 investigator presentations for each of the 4 main sessions at INCF Neuroinformatics Assembly 2024: - FAIR neuroscience - Technologies for large-scale computation and team science - Applications of AI to neuroscience research - Closing the discovery loop and digital twins Please submit your investigator presentation abstract via this link no later than April 08, 2024. Selected presenters will have their registration fee waived as a thank-you for your contribution. Note: You need to be signed in to submit an abstract, but you don?t need to be an INCF member to create an account. Keynote announcement! Elisabeth Bik, PhD, Microbiome Digest Microbiome specialist Elisabeth Bik is a Microbiome and Science Integrity consultant. She can often be found discussing science papers on Twitter at @MicrobiomDigest , writing for her blog ScienceIntegrityDigest or searching the biomedical literature for inappropriately duplicated or manipulated photographic images, plagiarized text, or poor study design and data analysis. Bik?s work has been featured in Nature, Science, the New York Times, Le Monde, Wall Street Journal, STAT News, and The Scientist. Viktor Jirsa, PhD, Institut de Neurosciences des System?s Dr. Jirsa is one of the Lead Scientists in the Human Brain Project and The Virtual Brain and has published more than 150 scientific articles and book chapters, as well as co-edited several books including the Handbook of Brain Connectivity . Dr. Jirsa has made notable contributions to the understanding of how network structure constrains the emergence of functional dynamics using methods from nonlinear dynamic system theory and computational neuroscience. Danilo Bzdok, MD, PhD, Mila - Quebec Artificial Intelligence Institute Dr Bzdok currently serves as Associate Professor at McGill's Faculty of Medicine and as Canada CIFAR AI Chair at Mila - Quebec Artificial Intelligence Institute, Montreal, Canada, including cross-appointments at the McConnell Brain Imaging Center, Montreal Neurological Institute, Ludmer Centre for Neuroinformatics and Mental Health, and the School of Computer Science at McGill University. His interdisciplinary research activity centers on narrowing knowledge gaps in the brain basis of human-defining types of thinking, with a special focus on the higher association cortex in health and disease. Important dates Mar 15 - Early bird, abstract, & investigator presentation registration open! Apr 08 - IP registration closes Jun 29 - Regular registration Sep 23-25 - Assembly Sep 26-27 - Training See you at Assembly 2024! /The INCF Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From mturner at flatironinstitute.org Thu Apr 4 14:30:48 2024 From: mturner at flatironinstitute.org (Matthew Turner) Date: Thu, 4 Apr 2024 14:30:48 -0400 Subject: Connectionists: Flatiron Institute Neuro Data Analysis Workshop at Federation of European Neuroscience Societies Forum 2024 In-Reply-To: References: Message-ID: Applications are open for the Flatiron Institute's Center for Computational Neuroscience's first pynapple-fastplotlib-nemos workshop, a satellite event of FENS Forum 2024 in Vienna. Learn neural data analysis, visualization and modeling using state-of-the-art open source python packages developed by the NeuroRSE Group at CCN. *Accommodation and meals are provided.* Learn more and apply here .*Flatiron CCN Neuro data analysis workshop at Federation of European Neuroscience Societies Forum 2024* *Date: *June 23-24, 2024 *Application deadline: *April 19pynapple is a light-weight python library for neurophysiological data analysis. The goal is to offer a versatile set of tools to study typical data in the field, i.e. time series (spike times, behavioral events, etc.) and time intervals (trials, brain states, etc.). It also provides users with generic functions for neuroscience such as tuning curves and cross-correlograms.fastplotlib is a next-gen plotting library built using the pygfx rendering engine that can utilize modern GPUs so it is very fast! It is an expressive plotting library that enables rapid prototyping for large scale explorative scientific visualization.nemos is a statistical modeling framework for systems neuroscience, with a current focus on electrophysiology, fully compatible with pynapple. As of today, its core functionality includes the implementation of the Generalized Linear Model (GLM) for spike train analysis.If you have any questions, please contact jhauser at flatironinstitute.org. -- Jessica Hauser Coordinator, Center Administration Center for Computational Neuroscience *FLATIRON INSTITUTE* 160 Fifth Avenue, 3rd Floor New York, NY 10010 +1 (929) 969-7812 mobile +1 (929) 562-4586 desk -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Thu Apr 4 09:25:53 2024 From: efipatm at gmail.com (Efi) Date: Thu, 4 Apr 2024 06:25:53 -0700 Subject: Connectionists: Archimedes / AIDA free lecture by Dr. Alexandros Xenos: "Towards a linearly organized embedding space of biological networks", 5th April 2024, 12:00 EEST Message-ID: Dear AI scientist/engineer/student/enthusiast, Doctor Alexandros Xenos (Barcelona Supercomputing Center) will deliver the lecture: "*Towards a linearly organized embedding space of biological networks*" on *Friday 05/04/2024* at *12:00 EEST*. See details in: https://www.i-aida.org/events/towards-a-linearly-organized-embedding-space-of-biological-networks/ On-site participation: Archimedes Amphitheater (1 Artemidos, Marousi, ground floor), Athens, Greece. Online participation: Microsoft Teams meeting Meeting ID: 320 137 087 421 Passcode: MmC6Ex This lecture is jointly offered by Archimedes - AI and Data Science Research Hub (Athena Research Center) and the International AI Doctoral Academy (AIDA) and it is part of the AIDA AI Excellence Lecture Series . These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list . Best regards Profs. T. Sellis, C. Contogiannis Archimedes - Athena Research Center Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, J. Stefanowski AIDA AI Excellence Lecture Series committee members -------------- next part -------------- An HTML attachment was scrubbed... URL: From Elena.Vildjiounaite at vtt.fi Thu Apr 4 09:59:12 2024 From: Elena.Vildjiounaite at vtt.fi (Vildjiounaite Elena) Date: Thu, 4 Apr 2024 13:59:12 +0000 Subject: Connectionists: CBMI 2024 Special Session on Understanding of Human Behaviour, Emotions and their Reasons: dedaline extented to April 12 In-Reply-To: References: Message-ID: === Apologies for multiple copies ==== ==== Please, feel free to share this call for Papers with your colleagues who might be interested ==== Dear Colleagues, This is a reminder for the Special Session in 21st International Conference on Content-based Multimedia Indexing: Deadline extended Submission deadline: April 12 Conference: September 18-20, Reykjavik, Iceland Special Sessions - CBMI 2024 Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons This special session addresses the processing of all types of data related to understanding of human behaviour, emotions, and their reasons, such as current or past context. Understanding human behaviour and context may be beneficial for many services both online and in physical spaces. For example, detecting lack of skills, confusion or other negative states may help to adapt online learning programmes, to detect a bottleneck in the production line, to recognise poor workplace culture etc., or maybe to detect a dangerous spot on a road before any accident happens there. Detection of unusual behaviour may help to improve security of travellers and safety of dementia sufferers and visually/ audio impaired individuals, for example, to help them to stay away from potentially dangerous strangers, e.g., drunk people or football fans forming a big crowd. In context of multimedia retrieval, understanding human behaviour and emotions could help not only for multimedia indexing, but also to derive implicit (i.e., other than intentionally reported) human feedback regarding multimedia news, videos, advertisements, navigators, hotels, shopping items etc. and improve multimedia retrieval. Humans are good at understanding other humans, their emotions and reasons. For example, when looking at people engaged in different activities (sport, driving, working on a computer, working in a construction site, using public transport etc.), a human observer can understand whether a person is engaged in the task or distracted, stopped the recommended video because the video was not interesting, or because the person quickly found what he needed in the beginning of the video. After observing another human for some time, humans can also learn his/ her tastes, skills and personality traits. Hence the interest of this session is, how to improve AI understanding of the same aspects? The topics include (but are not limited to) the following * Use of various sensors for monitoring and understanding human behaviour, emotion/ mental state/ cognition, and context: video, audio, infrared, wearables, virtual (e.g., mobile device usage, computer usage) etc. * Methods for information fusion, including information from various heterogeneous sources * Methods to learn human traits and preferences from long term observations * Methods to detect human implicit feedback from past and current observations * Methods to assess task performance: skills, emotions, confusion, engagement in the task, context * Methods to detect potential security and safety threats and risks * Methods to adapt behavioural and emotional models to different end users and contexts without collecting a lot of labels from each user and/ or for each context: transfer learning, semi-supervised learning, anomaly detection, one-shot learning etc. * How to collect data for training AI methods from various sources, e.g., internet, open data, field pilots etc. * Use of behavioural or emotional data to model humans and adapt services either online or in physical spaces. * Ethics and privacy issues in modelling human emotions, behaviour, context and reasons Proceedings should be published by ACM, the information will soon appear in the conference web page. Best papers will be invited to Multimedia Tools and Applications journal. Conference Website: http://cbmi2024.org/ The conference proceedings will be published by IEEE. Authors can submit full papers (6 pages + references), short papers (4 pages + references), special session papers (6 pages + references) and demonstration proposals (4 pages + 1 page demonstration description + references). Authors of high-quality papers accepted to the conference may be invited to submit extended versions of their contributions to a special journal issue in MTAP. Submissions to CBMI are peer reviewed in a single blind process. All types of papers must use the IEEE templates at https://www.ieee.org/conferences/publishing/templates.html. The language of the conference is English. Submission Deadlines * * * Full and short research papers are due April 12, 2024 * * * * Special session papers are due April 12, 2024 * -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Fri Apr 5 02:55:52 2024 From: fmschleif at googlemail.com (fmschleif at googlemail.com) Date: Fri, 5 Apr 2024 08:55:52 +0200 Subject: Connectionists: Call for participation WSOM+ 2024 Message-ID: -- Apologies in advance for multiple postings -- ************ WSOM+ 2024 ************ 15th International Workshop on Self Organizing Maps,Learning Vector Quantization & Beyond Mittweida, Germany, 10-12 July 2024, wsom.si-cim.de << Catch the early bird until 10.04! >> Register now: https://www.forschung.hs-mittweida.de/en/webs/welcome/registration/ Confirmed invited speakers: - John Aldo Lee - University catholique de Louvain, Belgium - Barbara Hammer - University Bielefeld, Germany - Peter Tino - University of Birmingham, United Kingdom Workshop on Self Organizing Maps, Learning Vector Quantization & Beyond (!) WSOM+ is the premium international conference on self-organizing maps (SOM) and learning vector quantization (LVQ) for unsupervised and supervised data analysis as well as related areas like data visualization, statistical data analysis and interpretable data exploration. Contributions about theory, data analysis and respective applications are highly welcome. Topics of interest include but are not restricted to: + Theory of SOM, LVQ and related models + Prototype-based learning models + Data Visualization + Statistical Data Analysis and Machine Learning + Interpretable Models + Confidence & Transfer Learning + Applications in Medicine/Biology + Engineering Applications + Applications in Finance/Economics + Hardware and Neuromorphic Hardware for LVQ & SOM See you - all the best Frank -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Fri Apr 5 07:34:52 2024 From: dhansel0 at gmail.com (David Hansel) Date: Fri, 5 Apr 2024 14:34:52 +0300 Subject: Connectionists: New on the VVTNS website and YouTube channel In-Reply-To: References: Message-ID: [image: VVTNS.png] > > > https://www.wwtns.online > > - on twitter: wwtns at TheoreticalWide > New on the VVTNS website and YouTube channel Manuel Beiran Columbia University "Prediction of neural activity in connectome-constrained recurrent networks" talk given on April 3, 2024 https://www.wwtns.online/past-seminars-2023-2024 ------------------------------------ *VVTNS: VVTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab. 45 rue des Saints P?res 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From mturner at flatironinstitute.org Fri Apr 5 15:32:45 2024 From: mturner at flatironinstitute.org (Matthew Turner) Date: Fri, 5 Apr 2024 15:32:45 -0400 Subject: Connectionists: Applications Open for Analytical Connectionism Summer School 2024 Message-ID: Analytical Connectionism Summer School 2024 Analytical Connectionism is a 2-week summer course on analytical tools, including methods from statistical physics and probability theory, for probing neural networks and higher-level cognition. The course brings together neuroscience, psychology and machine-learning communities, and introduces attendees to analytical methods for neural-network analysis and connectionist theories of higher-level cognition and psychology. Connectionism, a key theoretical approach in psychology, uses neural-network models to simulate a wide range of phenomena, including perception, memory, decision-making, language, and cognitive control. However, most connectionist models remain, to a certain extent, black boxes, and we lack a mathematical understanding of their behaviors. Recent progress in theoretical neuroscience and machine learning has provided novel analytical tools that have advanced our mathematical understanding of deep neural networks, and can help us unravel these ?black boxes?. This course will introduce (1) mathematical methods for neural-network analysis, providing a solid theoretical and analytical overview of the tools available to understand neural-network models, and (2) key connectionist models with links to experimental observations, and which provide important targets for analytical results. To provide context for the applications of these methods, we will discuss phenomena in psychology that still lack an explanation. During the 2-week course you will: - Attend lectures on theoretical methods and applications, key connectionist models, and experimental observations - Participate in tutorials, Q&A sessions, and panel discussions - Take part in activities such as poster and networking sessions The course will run from Aug. 12 to Aug. 23, 2024, Mondays-Fridays and will end with a 2-day hackathon, during which students will apply what they have learned in group projects. There are no course fees, but attendees are expected to cover their own travel, visa expenses, and any meals not offered by the summer school (morning and afternoon coffee breaks and lunch will be provided Monday-Friday). Accommodation in NYC (for students not living in NYC and surrounding) will be provided by the school. Travel grants inclusive of the above named expenses will be offered to individuals whose participation furthers the goal to promote diversity in systems and computational neuroscience, in particular among populations underrepresented in the scientific workforce as defined by NIH , including but not limited to racially underrepresented individuals, women, individuals with disabilities and individuals from disadvantaged backgrounds. Organizers: - Chi-Ning Chou (CCN) - SueYeon Chung (CCN/NYU) - Francesca Mignacco (Princeton/CCN) - Stefano Sarao Mannelli (UCL) - Andrew Saxe (UCL) For more information and to apply, please visit: https://events.simonsfoundation.org/event/e070287e-741e-4809-adea-7269142737cb/summary?previewToken=9babb9bdeb159822601f488ae31ff0b2 Administrative Contact: Alicja Jankowska, CCN Administrative Coordinator, ajankowska at flatironinstitute.org Cordially, MATTHEW B. TURNER any pronouns Senior Manager for Center Administration | Center for Computational Neuroscience Flatiron Institute 917.363.1095 mobile mturner at flatironinstitute.org 162 Fifth Avenue, New York, NY 10010 simonsfoundation.org/flatiron -------------- next part -------------- An HTML attachment was scrubbed... URL: From eleal at d.umn.edu Sat Apr 6 17:40:24 2024 From: eleal at d.umn.edu (Eleazar Leal) Date: Sat, 6 Apr 2024 16:40:24 -0500 Subject: Connectionists: CFP 2024 Intl Workshop on Quantum Data Science and Management @ VLDB Message-ID: ************************************************************************* CALL FOR PAPERS International Workshop on Quantum Data Science and Management (QDSM 2024) In conjunction with VLDB 2024 August 29, 2024, Guangzhou, China (and hybrid) Submission: May 5, 2024 Web: https://www.ifis.uni-luebeck.de/~groppe/qdsm ************************************************************************* ** Aims of the Workshop ** The field of quantum computing has experienced remarkable progress after decades of research and development. Prototypes of quantum computers already exist and have been made available to users through cloud services (e.g., IBM Q experience, Google quantum AI, or Xanadu quantum cloud). While fault-tolerant and large-scale quantum computers are not available yet, the potential of this new technology is undeniable. Quantum algorithms have the proven ability to either outperform classical approaches for various tasks or are impossible to be efficiently simulated by classical means under reasonable complexity-theoretic assumptions. Even imperfect current-day technology is speculated to exhibit computational advantages over classical systems. For most database researchers, quantum computing and quantum machine learning are still new research fields. The goal of this workshop is to bring together academic researchers and industry practitioners from multiple disciplines (e.g., database, AI, software, physics, etc.) to discuss the challenges, solutions, and applications of quantum computing and quantum machine learning that have the potential to advance the state of the art of data science and data management technologies. Our purpose is to foster the interaction between database researchers and more traditional quantum disciplines, as well as industrial users. The workshop serves as a forum for the growing quantum computing community to connect with database researchers to discuss the wider questions and applications of how quantum resources can benefit data science and data management tasks, and how quantum software can support this endeavor. We believe that many unsolved and interesting issues can be found at boundaries and intersections between different fields and that there are insufficient venues to publish such cross-disciplinary results. We also believe that an important aspect of future quantum computing will concern issues of handling data in one way or another. This workshop will serve as a venue not only to discuss early, experimental results in research, but also to feature a demonstration part with the intention of providing attendees with first-hand experience in using novel quantum computing techniques that go beyond the simple examples offered by various web services. This will give researchers a realistic intuition about quantum computing for data science and data management tasks. ** Categories of Papers ** The workshop solicits papers of the following categories: - Research Papers propose new approaches, theories or techniques related to quantum data science and management including new data structures, protocols and algorithms. They should make substantial theoretical and empirical contributions to the research field. - System Papers describe new systems and whole frameworks for enabling quantum data science and management. - Experiments and Analysis Papers focus on the experimental evaluation of existing approaches including data structures and algorithms for quantum data science and management and bring new insights through the analysis of these experiments. Results of Experiments and Analysis Papers can be, for example, showing the benefits of well-known approaches in new settings and environments, opening new research problems by demonstrating unexpected behavior or phenomena, or comparing a set of traditional approaches in an experimental survey. - Application Papers report practical experiences on applications of quantum data science and management. Application Papers might describe how to apply quantum technologies to specific application domains. - Vision Papers identify emerging new or future research issues and directions and describe new research visions for quantum data science and management. The new visions will potentially have significant impacts on society. - Demo Papers deal with innovative approaches and applications for quantum data science and management. These papers describe a showcase of the proposed approach/application. We are especially interested in demonstrations having a WOW-effect. The length of papers must be within 5 pages to 10 pages. Accepted papers will be published in the CEUR Workshop proceedings (CEUR-WS.org) and presented as oral presentations. ** Topics of Interest ** We are interested in all issues concerning quantum data science and management such as the following: - Quantum Computing for problems related to Data Science and Management - Quantum Data Science - Quantum Computing for Data Science - Data Science for Quantum Computing - Quantum Data Management - Quantum Computing for Data Management - Data Management for Quantum Computing - Quantum Machine Learning - Quantum Machine Learning Enabled Databases - Quantum Data Management to Support Machine Learning - New approaches to Quantum Machine Learning - Applications for - Quantum Data Science - Quantum Data Management - Quantum Machine Learning - Quantum Algorithms with applications in Quantum Data Science and Management - Quantum Software Tools for Quantum Data Science and Management - Frameworks and APIs - Programming Languages - Optimizers of Quantum Programs and Circuits - Quantum Cryptography and Security for Data Science and Management ** Workshop Chairs ** - Sven Groppe, University of Lubeck, Germany - Jiaheng Lu, University of Helsinki, Finland - Wolfgang Mauerer, Technical University of Applied Science Regensburg, Germany - Le Gruenwald, University of Oklahoma, USA ** Publicity Chairs ** - Eleazar Leal, University of Minnesota Duluth, USA ** Proceedings Chairs ** - Valter Uotila, University of Helsinki, Finland ** Program Committee ** - Umut Calikyilmaz, University of Lubeck, Germany - Maja Franz, OTH Regensburg, Germany - Srinjoy Ganguly, Woxsen University, India - Natacha Kuete Meli, University of Lubeck, Germany - Nitin Nayak, University of Lubeck, Germany - Jukka K. Nurminen, University of Helsinki, Finland - IIya Safro, University of Delaware, USA - Manuel Schonberger, OTH Regensburg, Germany - Ghanshyam Singh, Malaviya National Institute of Technology Jaipur (MNIT Jaipur), India - Valter Uotila, University of Helsinki, Finland - Sanjay Vishwakarma, IBM Quantum, IBM Research - Almaden, USA - Zhengtong Yan, University of Helsinki, Finland ** Important Dates ** Submission: May 5, 2024 Notification: June 30, 2024 Workshop: August 29, 2024 ** Submission ** Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be formatted using the camera-ready templates in the CEUR Workshop Proceedings (CEUR-WS.org) double-column format. The length of papers must be within 5 pages to 10 pages. Accepted papers will be published online in the CEUR Workshop proceedings (CEUR-WS.org). We describe manuscript preparation and submission procedure at https://www.ifis.uni-luebeck.de/~groppe/qdsm/submit -- Eleazar Leal, Ph.D. Associate Professor Dept. of Computer Science | University of Minnesota Duluth Heller Hall 331 1114 Kirby Drive Duluth, MN 55812 Tel: (218) 726-8452 | Fax: (218) 726-8240 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ivan.ezhov at tum.de Fri Apr 5 11:21:25 2024 From: ivan.ezhov at tum.de (Ivan Ezhov) Date: Fri, 5 Apr 2024 15:21:25 +0000 Subject: Connectionists: PhD position: Physics-based and Data-Driven Spectral Unmixing Message-ID: <3f8be35c538f48ada4041b3f3e2409de@tum.de> ******** The lab for Artificial Intelligence in Medicine (AIM Lab) focuses on AI and ML approaches for medicine and healthcare. Our aim is to develop AI and ML techniques for the analysis and interpretation of biomedical data. The group focuses on pursuing blue-sky research, including: * AI for medical imaging applications ranging from image reconstruction to analysis and interpretation * AI for the early detection, prediction and diagnosis of diseases as well as for the identification of new biomarkers and targets for therapy * Safe, robust and interpretable AI approaches as well as privacy-preserving AI approaches We have a particularly strong interest in the application of imaging and computing technology to improve the understanding of brain development, to improve the diagnosis and stratification of patients with dementia, stroke and traumatic brain injury as well as for the comprehensive diagnosis and management of patients with cardiovascular disease and cancer. We are based in the Faculty of Medicine at the Campus Klinikum Rechts der Isar (which is the university hospital of TUM) as well as in the Faculty of Informatics at the Campus Garching. Our lab is affiliated with several machine learning initiatives in Munich, including the Munich Center for Machine Learning (MCML), the European Laboratory for Learning and Intelligent Systems (ELLIS Munich) and the Munich Data Science Institute (MDSI). We are currently recruiting a PhD student to work on the HyperProbe project aiming to develop a new optical imaging device that will provide real-time monitoring of cellular and molecular biomarkers. The student will work on computational aspects of the project, designing physics- and data-driven algorithmic solutions for the reconstruction and analysis of hyperspectral data. Qualifications: * An MSc in Computational Sciences, Physics, or related disciplines and publications and previous experience with projects in these fields * Extensive programming experience with Python and ML frameworks (e.g. Pytorch) * Strong analytical and problem-solving skills * Excellent communication & interdisciplinary skills * Fluency in English (written and spoken) Notice for candidates with disabilities: Candidates with disabilities will be given preference if they are essentially of the same suitability and qualifications. How to apply: Please send your application documents (CV, transcripts, and research statement) to ivan.ezhov at tum.de ******** -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Apr 6 03:39:04 2024 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 6 Apr 2024 09:39:04 +0200 (CEST) Subject: Connectionists: DeepLearn 2024: early registration May 8 Message-ID: <531867924.1416428.1712389144424@webmail.strato.com> ****************************************************** 11th INTERNATIONAL SCHOOL ON DEEP LEARNING (and the Future of Artificial Intelligence) DeepLearn 2024 Porto ? Maia, Portugal July 15-19, 2024 https://deeplearn.irdta.eu/2024/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************** Early registration: May 8, 2024 ****************************************************** SCOPE: DeepLearn 2024 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth, Bari and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, etc. etc. The field is also raising a number of relevant questions about robustness of the algorithms, explainability, transparency, and important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed, and main challenges identified through 16 four-hour and a half courses, 2 keynote lectures, 1 round table and a few hackathon-type competitions among students, which will tackle the most active and promising topics. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2024 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2024 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Cast?lo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their technical developments for 10 minutes. This year?s edition of the school will schedule hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Jiawei Han (University of Illinois Urbana-Champaign), How Can Large Language Models Contribute to Effective Text Mining? Katia Sycara (Carnegie Mellon University), Effective Multi Agent Teaming PROFESSORS AND COURSES: Luca Benini (Swiss Federal Institute of Technology Zurich), [intermediate/advanced] Open Hardware Platforms for Edge Machine Learning Gustau Camps-Valls (University of Val?ncia), [intermediate] AI for Earth, Climate, and Sustainability Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Introduction to Representation Learning on Graphs Daniel Cremers (Technical University of Munich), [introductory/advanced] Deep Networks for 3D Computer Vision Peng Cui (Tsinghua University), [intermediate/advanced] Stable Learning for Out-of-Distribution Generalization: Invariance, Causality and Heterogeneity Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Yulan He (King?s College London), [introductory/intermediate] Machine Reading Comprehension with Large Language Models Frank Hutter (University of Freiburg), [intermediate/advanced] AutoML George Karypis (University of Minnesota), [intermediate/advanced] Optimizing LLM Inference Hermann Ney (RWTH Aachen University / AppTek), [intermediate/advanced] Machine Learning and Deep Learning for Speech & Language Technology: A Probabilistic Perspective Massimiliano Pontil (Italian Institute of Technology), [intermediate/advanced] Operator Learning for Dynamical Systems Elisa Ricci (University of Trento), [intermediate] Continual and Adaptive Learning in Computer Vision Wojciech Samek (Fraunhofer Heinrich Hertz Institute / Technical University of Berlin), [introductory/intermediate] From Feature Attributions to Next-Generation Explainable AI Xinghua Mindy Shi (Temple University), [introductory/intermediate] Trustworthy Machine Learning for Human Health and Medicine Michalis Vazirgiannis (?cole Polytechnique), [intermediate/advanced] Graph Machine Learning and Multimodal Graph Generative AI James Zou (Stanford University), [introductory/intermediate] Large Language Models and Biomedical Applications OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 7, 2024. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 7, 2024. HACKATHONS: Hackathons will take place, where participants will work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer. The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced on the final day. The winning teams will receive a small prize and the runners-up will get a certificate. EMPLOYERS: Organizations searching for personnel well skilled in deep learning will be provided a space for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 7, 2024. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2024/sponsoring/ ORGANIZING COMMITTEE: Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2024/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://deeplearn.irdta.eu/2024/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Fri Apr 5 10:19:15 2024 From: amir.kalfat at gmail.com (Amir Aly) Date: Fri, 5 Apr 2024 15:19:15 +0100 Subject: Connectionists: Available PhD Position at the intersection between AI and Marine Conservation Message-ID: Dear All, We have an available PhD position (*Monitoring health and unlocking social behaviour in bottlenose dolphins with interdisciplinary next-generation technology*) at the intersection of Marine Conservation and AI. More details are available here: Link . The closing date for applications is *22/04/2024**.* Project description Monitoring health and social behaviour in cetacean populations is required for population management and quantification of human impacts. Measures of individual fitness, survival, reproductive success, and sociality can have far-reaching implications for wildlife management and conservation, as populations adapt, or not, to human disturbance. Quantifying individual interactions is the foundation of social behaviour and cetaceans arguably demonstrate some of the most complex social systems in the mammalian world. However, the nature of social relationships in cetaceans remains poorly studied. Cetaceans provide unique research challenges that can constrain data collection and prevent multimodal inference. Recent developments in marine robotics, artificial intelligence (AI) and bioacoustics open opportunities for a technology-driven approach for conservation and behavioural research. AI-based techniques employing machine learning to analyse unoccupied aerial systems (UAS)-captured footage, and acoustic data need integration into tools to extract behavioural patterns and allow application to conservation research. The Scottish bottlenose dolphin project is one of the longest running individual-based studies of dolphins in the world, with multi decade sighting histories and life history data. This population has high societal importance, with core habitat impacted by coastal developments and in key areas for UK renewable energy. This project is an opportunity to integrate new generation technologies and contribute vital population and individual level information for conservation management and compliance monitoring for UK renewables. *Project aims and methods* This PhD project will integrate technology-driven data collection across bioacoustics, marine robotics and artificial intelligence to advance animal behaviour research. The project has four main research objectives: - Synchronise and integrate data collection of vocal signals and movement patterns of wild dolphin groups. - Determine social relationships, group behaviour and population demographics from boat-based and UAS still and video imagery. - Explore the boundaries of social behaviour using AI for tracking individuals. - Integrate and disseminate data across research and industrial sectors for policy and conservation management of this protected population. *Research Methodology* The student will collect acoustic, behavioural and UAS data during the annual summer field campaigns run by the Lighthouse Field Station based in Cromarty, Scotland. They will use a modified multi-rotor UAS, fitted with a laser altimeter to collect high-resolution still and video imagery of dolphin groups to verify individual identity information from known bottlenose dolphins within the population, and deploy hydrophones to record underwater acoustics. The student will explore dolphins? fine-scale spatial interactions and individual movement trajectories and their link to acoustics, as well as morphometric and demographic data. The student will utilize and integrate a suite of AI methodologies to test hypotheses relating to the influence of social relationships and individual identity on group movement and acoustics in dolphins. Training This project will provide the student with multi-disciplinary skills development and training across bioacoustics, behavioural ecology and artificial intelligence. They will complete small boat work and field data collection at a world leading field station enhancing their data collection skills and providing benefits of interaction across two institutions. The student will also benefit from access to the Scottish bottlenose dolphin project longitudinal dataset to inform the individual level analysis that underpins this project, as well as a highly skilled field team to facilitate data collection and individual training. They will receive dedicated training in UAS operation and maintenance and depending on background may receive training in ecology, bioacoustics, artificial intelligence applications and R and Matlab programming. *Supervisory team* The project will be supervised by Dr. Nicola Quick , Dr. Clare Embling , Dr. Barbara Cheney , and Dr. Amir Aly If you have questions, pls don't hesitate to ask, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From paolo.dini at cttc.es Fri Apr 5 12:11:07 2024 From: paolo.dini at cttc.es (Paolo Dini) Date: Fri, 5 Apr 2024 18:11:07 +0200 Subject: Connectionists: Training School: The Interplay between machine learning and communication systems Message-ID: We are pleased to announce our first International Student Workshop on *The Interplay between machine learning and communication systems*. ********************* General Information ********************* CTTC organizes a five-day workshop for early-stage researchers including PhD students and postdocs, who are willing to dwell into the latest advances in artificial intelligence and machine learning and their interplay with telecommunication systems. The workshop will be held at CTTC premises (Barcelona, Spain) on May 13th ? 17th, 2024 and will combine lectures, demos and practical hands-on the experimental facilities at CTTC as well as visits to local industrial partners and key players. Moreover, the attendees may have the possibility to present their work, interacting among themselves and with the senior researchers attending the event. The workshop is supported by Teleco Renta and will fund *15 travel grants* for international students to attend the workshop. The grant will cover the travel expenses and accommodation. The workshop is however open to any PhD student and postdoc. A minimum of 15 places will be reserved for international PhD students or early-stage postdocs applying for Teleco Renta support, the rest will be open until the workshop vacancies are completed. More information at: https://telecorenta-workshops.cttc.es/index.php ***************** Workshop vision ***************** The advancement of machine learning (ML) techniques, especially deep learning, reinforcement learning, and federated learning, has led to remarkable breakthroughs in a variety of application domains, including computer vision, natural language processing, Internet of Things (IoT), connected vehicles, environmental monitoring, and mobile network management. Despite the success of ML-related research, the main outcomes are grounded on the availability of big amount of data and high computational resources at a central (cloud) entity. However, modern information sources are distributed and generate data far from the cloud computing centres. Streaming and processing data at remote centres results to be highly inefficient and energy-consuming. Hence, distributed/decentralized learning has emerged, enabling a pervasive computing system where data can be processed directly or closer to the sources. In such a way, communication overhead, latency, memory requirements, energy consumption are reduced, and privacy concerns are mitigated. The objective of this workshop is to bring together the state-of-the-art research approaches in distributed ML, energy-efficient algorithms and understand the interplay with communication systems to achieve pervasive and sustainable sensing, computing, and communication platforms, in which every agent has an active role in the learning process, regardless their capabilities and tasks to be accomplished. We will provide seminars on the following topics with amazing speakers: * Federated learning - Lorenzo Valerio (IIT-CNR) * Continual and lifelong learning - Vincenzo Lomonaco (University of Pisa) * Reinforcement learning - Jordi Perez (Universitat Poiltecnica de Catalunya) * Spiking neural networks - David Kappel ((University of Bochum) * Reservoir computing - Claudio Gallicchio (University of Pisa) * Physics informed neural networks - Patrick Gallinari (Sorbonne University) * Machine Learning for Communications - Adriano Pastore (CTTC) * Industrial applications (visit at Telefonica Human-AI Lab) Complete program: https://telecorenta-workshops.cttc.es/index.php/program ************************** Important dates and links ************************** Registrations for travel grants: April 15 2024 (AoE) Registration link: https://docs.google.com/forms/d/e/1FAIpQLSdyHBsuB2rgZvAswwUFNokWpVaSGw19sjODd2Hm6Pr4oL7PmQ/viewform Any query, please reply to this sender email address. Hope to meet you in Barcelona! -- *Paolo Dini* Researcher (R4) ** Sustainable Artificial Intelligence (SAI) research unit Centre Tecnol?gic de Telecomunicacions de Catalunya (CTTC) Av. Carl Friedrich Gauss, 7 - Building B4 08860 - Castelldefels Tel.: +34 93 645 29 00 _DATA PROTECTION INFORMATION. Data controller: CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (G62616586):_ We inform you that your identification data and the data contained in the emails and attached files can be incorporated into our databases, in order to maintain professional and / or commercial relationships, and that it will be preserved throughout the relationship. According to the current regulations, you can exercise your right to access, rectification, erasure, restriction of processing, to portability and to object by sending an email to dpo at cttc.cat. This message and any attached document, where appropriate, may be confidential and intended for the original recipient only. L'informem que les seves dades identificatives i les compreses als correus electr?nics i fitxers adjunts poden ser incorporades a les nostres bases de dades amb la finalitat de mantenir relacions professionals i/o comercials i, que seran conservades mentre es mantingui aquesta relaci?. Si ho desitja, pot exercir el seu dret d'acc?s, rectificaci?, supressi?, limitaci? del tractament, portabilitat i objecci? enviant un correu electr?nic a dpo at cttc.cat. Aquest missatge i qualsevol document adjunt, en el seu cas, pot ser confidencial i destinat ?nicament a la persona o entitat a qui s'hagi enviat. Before printing this e-mail or attachments, be sure it is necessary. It is in our hands to protect the environment. -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Sat Apr 6 04:12:02 2024 From: info at icas.cc (ICAS Organizing Committee) Date: Sat, 6 Apr 2024 10:12:02 +0200 Subject: Connectionists: Call for Participation & Papers - ACAIN 2024 - 4th Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: April 23 Message-ID: Call for Participation & Call for Papers (apologies for multiple copies) ________________________________________________________________________ The 4th International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain at icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Symposium Deadlines Paper Submission (Symposium): by April 23, 2024 (AoE). https://acain2024.icas.events/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2024 Notification of Decision for Papers (Symposium): by July 10, 2024. Camera Ready Submission (Symposium): by July 20, 2024. Author Registration (Symposium): by July 20, 2024. Course Deadlines Regular Registration (Course): by April 23, 2024. https://acain2024.icas.events/registration/ Late Registration (Course): from April 24, 2024. Oral Presentation Submission (Course): by April 23, 2024. Notification of Decision for Oral Presentation (Course): by August 31, 2024. SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ SYMPOSIUM CALL FOR PAPERS: https://acain2024.icas.events/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2024.icas.events/program-committee/ ORGANIZING COMMITTEE: https://acain2024.icas.events/symposium-committee/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Localit? Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events at rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain at icas.cc W: https://acain2024.icas.events FB: https://www.facebook.com/ACAIN.LakeDistrict -- -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Sun Apr 7 13:31:34 2024 From: mpavone at dmi.unict.it (Mario Pavone) Date: Sun, 07 Apr 2024 19:31:34 +0200 Subject: Connectionists: MESS 2024 ~ autoDL meets HPC ~ New application deadline Message-ID: <20240407193134.Horde.Kbd4Xuph4B9mEth2P6-iHpA@webmail.dmi.unict.it> Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2024 - Metaheuristics Summer School - Automated Deep Learning meets High-Performance Computing - 15-18 July 2024, Catania, Italy https://www.ANTs-lab.it/mess2024/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** NEW APPLICATION DEADLINE: 16th April 2024 ** MESS 2024 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide them with an overview on the metaheuristics techniques, and an in-depth analysis of the state-of-the-art. It is a full-immersion four-days course in the beautiful city of Catania whose goal is to offer all participants with a stimulating environment to study and learn advanced concepts and recent research in the fields of Metaheuristics, Optimization, Machine Learning and Artificial Intelligence, in general. The main theme of this edition is focused on ?Automated Deep Learning Meets High-Performance Computing?, that is how these research areas may interact and affect each other in order to develop reliable and robust solving methodologies for Big Data analysis, and data-driven problems. Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. ** LECTURERS + Thomas Bartz-Beielstein, TH Koln, Germany Lecture#1: Introduction to Surrogate-Based Hyperparameter Tuning in Classical Machine Learning, Online Machine Learning, and Deep Learning Lecture#2: Exploring Hyperparameter-Tuning Applications: Optimizing scikit-learn, River, and PyTorch with SPOT and Other Tuning Techniques + Aaron Klein, AWS Research Berlin, Germany Lecture#1: Introduction into AutoML: Hyperparameter Optimization Lecture#2: Introduction into AutoML: Neural Architecture Search + Eric Medvet, University of Trieste, Italy Lecture#1: Metaheuristics for policy search in continuous control Lecture#2: Beyond policy search: optimizing body and brain of simulated robotic agents + David Salinas, University of Freiburg, Germany Lecture#1: Multi-objective optimization Lecture#2: Speeding-up Hyperparameter Optimization with transfer and meta learning + El-Ghazali Talbi, University of Lille1, France Lecture#1: Metaheurististics for neural architecture search and hyperparameter optimization Lecture#2: Parallel and multi-objective metaheuristics for neural architecture search and hyperparameter optimization ~ More Lecturers will be announced soon ~ ** METAHEURISTICS COMPETITION All participants will be involved in the ?Metaheuristics Competition Race?, where each of them, individually or divided in working groups (no more than 3 people), will develop a metaheuristic solution for a given problem presented during the school. The top three of the competition ranking will receive the MESS 2024 award and will be involved in the writing of a manuscript dedicated to the competition that, afterwards, will be submitted to an international journal for possible publication. In addition, the remaining best ten in the ranking (excluding the top three, of course) will be invited to report their work in a manuscript which will be published in the special MESS 2024 Volume of the AIRO Springer Series. ** SHORT ORAL PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. The Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted during the application by *April 16, 2020*. ** MESS 2024 DIRECTORS: - Salvatore Greco, University of Catania, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy - El-Ghazali Talbi, University of Lille1, France - Daniele Vigo, University of Bologna, Italy ** METAHEURISTICS COMPETITION CHAIRS: - Raffaele Cerulli, University of Salerno, Italy - Sara Ceschia, University of Udine, Italy - Carmine Cerrone, University of Genoa, Italy - Andrea Schaerf, University of Udine, Italy ** MORE INFORMATION: https://www.ANTs-lab.it/mess2024/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ========================================================= MESS 2024 - Metaheuristics Summer School ~ autoDL meets HPC ~ 15-18 July 2024, Catania, Italy mess.school at ANTs-lab.it https://www.ANTs-lab.it/mess2024/ https://www.facebook.com/groups/MetaheuristicsSchool/ ========================================================= From battleday at g.harvard.edu Sun Apr 7 21:25:27 2024 From: battleday at g.harvard.edu (Battleday, Ruairidh) Date: Sun, 7 Apr 2024 21:25:27 -0400 Subject: Connectionists: Research Summit on Fundamental Challenges for AI. Mountain View, April 15th. Message-ID: We are most excited to announce the final line-up and substantially reduced ticket prices for the AE Spring Summit on Fundamental Challenges for AI . Computer History Museum, Mountain View; April 15th. This is a day of keynote talks and panels by leading AI researchers on what the open problems for ML/AI development are, and promising scientific and engineering strategies for solving them. Keynotes Professor Jay McClelland (Stanford / DeepMind) Professor Bin Yu (UC Berkeley) Professor Diyi Yang (Stanford) Professor Sergey Levine (UC Berkeley) Panels New Landscapes for AI Research New Professional Pathways Challenges for AI in Biomedicine Fundamental Challenges We have invited speakers and representatives from the following five technical stakeholder groups to this Summit: Academia Tech FROs / nonprofits Start-up VCs / Funders By soliciting answers and discussions from scientists and leaders at these different groups we hope to also examine what their different roles will be in the next period of AI research, and to foster the sharing of research. Full details can be found at www.algopreneurship.org. This should be an exciting and productive day, and we have made lower-priced tickets available for students and early-stage researchers. Lunch and a reception will be provided. We look forward to seeing some of you there, and please feel free to share news about the event on social media. The Thinking About Thinking Team Twitter / X: https://bit.ly/springsummitaix LinkedIn: https://bit.ly/springsummitaiLI -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT -------------- next part -------------- An HTML attachment was scrubbed... URL: From scholarshipchile at gmail.com Sun Apr 7 13:11:20 2024 From: scholarshipchile at gmail.com (Andrew Zayine) Date: Sun, 7 Apr 2024 18:11:20 +0100 Subject: Connectionists: Call for Participation: Announcing New DFIR 6, 7 & 8 Streams In-Reply-To: References: Message-ID: Dear All, The Association of Cyber Forensics and Threat Investigators invites you to join our next webinars: "DFIR Stream 0x6" on Tuesday, April 16 ? 4:00 ? 5:00 pm (GMT+00:00) UK Time Title: Operationalizing Machine Learning for Networks, by Shinan Liu, University of Chicago. Register@ https://www.acfti.org/news-events/dfir-stream-0x6 "DFIR Stream 0x7" on Tuesday, May 7. 1:30 ? 2:30 pm (GMT+00:00) UK Time Title: Malware Detection in Memory Forensics: Open Challenges and Issues, by Dr. Ricardo J. Rodr?guez, University of Zaragoza. Register@ https://www.acfti.org/news-events/dfir-stream-0x7 "DFIR Stream 0x8" on Monday, May 13 ? 4:00 ? 5:00 pm (GMT+00:00) UK Time Title: Low-Level Hardware Information Assisted Approach Towards System Security, by Dr. Chen Liu, Clarkson University. Register@ https://www.acfti.org/news-events/dfir-stream-0x8 ======Housekeeping Notes====== - Note that this event is online only. Hence, You must register to receive a link to connect. Due to limited availability, we kindly ask you to register as soon as possible to ensure your participation in the webinar of your choice. - For Students, A certificate of successful participation in the event will be delivered upon request for free (after verifying attendance), indicating the number of hours of the seminar (please make sure that you add the correct name in the registration form). This should be sufficient for those participants who plan to request ECTS recognition from their home university. Join Us & stay tuned! #CyberSecurity #MemoryForensics #MachineLearning #AnomalyDetection Finally, I would like to remind you that the call for speakers is currently open on the dedicated DFIR stream website, https://dfir.stream/call-for-guest-speakers To get more news about our events, please join our low-traffic announcement group @ https://groups.google.com/g/acfti This event is brought to you by CFTIRC (Cyber Forensics & Threat Investigations Research Community). Best regards, Andrew Zayin Ph.D., CISSP, CISM, CRISC, CDPSE, PMP ACFTI Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Sun Apr 7 13:31:34 2024 From: mpavone at dmi.unict.it (Mario Pavone) Date: Sun, 07 Apr 2024 19:31:34 +0200 Subject: Connectionists: MESS 2024 ~ autoDL meets HPC ~ New application deadline Message-ID: <20240407193134.Horde.Kbd4Xuph4B9mEth2P6-iHpA@webmail.dmi.unict.it> Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2024 - Metaheuristics Summer School - Automated Deep Learning meets High-Performance Computing - 15-18 July 2024, Catania, Italy https://www.ANTs-lab.it/mess2024/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** NEW APPLICATION DEADLINE: 16th April 2024 ** MESS 2024 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide them with an overview on the metaheuristics techniques, and an in-depth analysis of the state-of-the-art. It is a full-immersion four-days course in the beautiful city of Catania whose goal is to offer all participants with a stimulating environment to study and learn advanced concepts and recent research in the fields of Metaheuristics, Optimization, Machine Learning and Artificial Intelligence, in general. The main theme of this edition is focused on ?Automated Deep Learning Meets High-Performance Computing?, that is how these research areas may interact and affect each other in order to develop reliable and robust solving methodologies for Big Data analysis, and data-driven problems. Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. ** LECTURERS + Thomas Bartz-Beielstein, TH Koln, Germany Lecture#1: Introduction to Surrogate-Based Hyperparameter Tuning in Classical Machine Learning, Online Machine Learning, and Deep Learning Lecture#2: Exploring Hyperparameter-Tuning Applications: Optimizing scikit-learn, River, and PyTorch with SPOT and Other Tuning Techniques + Aaron Klein, AWS Research Berlin, Germany Lecture#1: Introduction into AutoML: Hyperparameter Optimization Lecture#2: Introduction into AutoML: Neural Architecture Search + Eric Medvet, University of Trieste, Italy Lecture#1: Metaheuristics for policy search in continuous control Lecture#2: Beyond policy search: optimizing body and brain of simulated robotic agents + David Salinas, University of Freiburg, Germany Lecture#1: Multi-objective optimization Lecture#2: Speeding-up Hyperparameter Optimization with transfer and meta learning + El-Ghazali Talbi, University of Lille1, France Lecture#1: Metaheurististics for neural architecture search and hyperparameter optimization Lecture#2: Parallel and multi-objective metaheuristics for neural architecture search and hyperparameter optimization ~ More Lecturers will be announced soon ~ ** METAHEURISTICS COMPETITION All participants will be involved in the ?Metaheuristics Competition Race?, where each of them, individually or divided in working groups (no more than 3 people), will develop a metaheuristic solution for a given problem presented during the school. The top three of the competition ranking will receive the MESS 2024 award and will be involved in the writing of a manuscript dedicated to the competition that, afterwards, will be submitted to an international journal for possible publication. In addition, the remaining best ten in the ranking (excluding the top three, of course) will be invited to report their work in a manuscript which will be published in the special MESS 2024 Volume of the AIRO Springer Series. ** SHORT ORAL PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. The Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted during the application by *April 16, 2020*. ** MESS 2024 DIRECTORS: - Salvatore Greco, University of Catania, Italy - Mario Pavone, University of Catania, Italy - Andrea Schaerf, University of Udine, Italy - El-Ghazali Talbi, University of Lille1, France - Daniele Vigo, University of Bologna, Italy ** METAHEURISTICS COMPETITION CHAIRS: - Raffaele Cerulli, University of Salerno, Italy - Sara Ceschia, University of Udine, Italy - Carmine Cerrone, University of Genoa, Italy - Andrea Schaerf, University of Udine, Italy ** MORE INFORMATION: https://www.ANTs-lab.it/mess2024/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ========================================================= MESS 2024 - Metaheuristics Summer School ~ autoDL meets HPC ~ 15-18 July 2024, Catania, Italy mess.school at ANTs-lab.it https://www.ANTs-lab.it/mess2024/ https://www.facebook.com/groups/MetaheuristicsSchool/ ========================================================= From emergingtechnetwork.publicity at gmail.com Sun Apr 7 19:44:00 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Mon, 8 Apr 2024 02:44:00 +0300 Subject: Connectionists: FLLM2024 CFP (Co-Sponsored by IEEE): The 2nd International Conference on Foundation and Large Language Models , 26-29 November, 2024 | Dubai, UAE Message-ID: [Apologies if you got multiple copies of this invitation] The 2nd International Conference on Foundation and Large Language Models (FLLM2024) https://fllm2024.fllm-conference.org/index.php 26-29 November, 2024 | Dubai, UAE Technically Co-Sponsored by IEEE UAE Section *FLLM 2024 CFP:* With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure. The International Conference on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics related to FLLMs, with special interest in but not limited to: - *Architectures and Systems* - Transformers and Attention - Bidirectional Encoding - Autoregressive Models - Massive GPU Systems - Prompt Engineering - Multimodal LLMs - Fine-tuning - *Challenges* - Hallucination - Cost of Creation and Training - Energy and Sustainability Issues - Integration - Safety and Trustworthiness - Interpretability - Fairness - Social Impact - * Future Directions* - Generative AI - Explainability and EXplainable AI - Retrieval Augmented Generation (RAG) - Federated Learning for FLLM - Large Language Models Fine-Tuning on Graphs - Data Augmentation - * Natural Language Processing Applications* - Generation - Summarization - Rewrite - Search - Question Answering - Language Comprehension and Complex Reasoning - Clustering and Classification - * Applications* - Natural Language Processing - Communication Systems - Security and Privacy - Image Processing and Computer Vision - Life Sciences - Financial Systems *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. *Important Dates:* - *Paper submission deadline: June 30, 2024* - Notification of acceptance: September 15, 2024 - Camera-ready Submission: October 10, 2024 *Contact:* Please send any inquiry on FLLM to: info at fllm-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Apr 7 07:30:29 2024 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 7 Apr 2024 14:30:29 +0300 Subject: Connectionists: Fwd: [seminar.wwtns] World wide VVTNS series: Wednesday, April 10 at 11am (EDT), Michael Buice, Allen Institute |Biologically motivated learning dynamics: parallel architectures and nonlinear Hebbian plasticity In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Michael Buice Allen Institute on the topic of "Biologically motivated learning dynamics: parallel architectures and nonlinear Hebbian plasticity*"* The lecture will be held on zoom on *April 10, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Learning in biological systems takes place in contexts and with dynamics not often accounted for by simple models. I will describe the learning dynamics of two model systems that incorporate either architectural or dynamic constraints from biological observations. In the first case, inspired by the observed mesoscopic structure of the mouse brain as revealed by the Allen Mouse Brain Connectivity Atlas, as well as multiple examples of parallel pathways in mammalian brains, I present a mathematical analysis of learning dynamics in networks that have parallel computational pathways driven by the same cost function. We use the approximation of deep linear networks with large hidden layer sizes to show that, as the depth of the parallel pathways increases, different features of the training set (defined by the singular values of the input-output correlation) will typically concentrate in one of the pathways. This result is derived analytically and demonstrated with numerical simulation with both linear and non-linear networks. Thus, rather than sharing stimulus and task features across multiple pathways, parallel network architectures learn to produce sharply diversified representations with specialized and specific pathways, a mechanism which may hold important consequences for codes in both biological and artificial systems. In the second case, I discuss learning dynamics in a generalization of Hebbian rules and show that these rules allow a neuron to learn tensor decompositions of higher-order input correlations. Unlike the case of the Oja rule and PCA, the resulting learned representation is not unique but selects amongst the tensor eigenvectors according to initial conditions. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? ? ? ? -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From amir.kalfat at gmail.com Sun Apr 7 13:46:10 2024 From: amir.kalfat at gmail.com (Amir Aly) Date: Sun, 7 Apr 2024 18:46:10 +0100 Subject: Connectionists: Available Positions in Computer Science at the University of Plymouth Message-ID: Dear All The University of Plymouth has several available positions in Computer Science. More details are available in this advertisement (deadline is 27th May 2024): https://www.jobs.ac.uk/job/DGN533/lecturer-associate-professor-in-computer-science If you have any remarks, pls don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From Justus-prof at Piater.name Mon Apr 8 05:41:32 2024 From: Justus-prof at Piater.name (Justus-prof at Piater.name) Date: Mon, 08 Apr 2024 11:41:32 +0200 Subject: Connectionists: Ph.D. Positions in ML for Robotics and/or CV at U. Innsbruck, Austria Message-ID: <87ttkcgpir.fsf@uibk.ac.at> The Intelligent and Interactive Systems lab headed by Justus Piater and Antonio Rodr?guez S?nchez uses machine learning to enhance the flexibility, robustness, generalization and explainability of robots and vision systems. Of particular interest are methods for learning about structure, function, and other concepts that describe the world in actionable ways. *Three University-Assistant Positions* These positions involve minor teaching duties. The specific research topics can be negotiated within the scope of the lab as summarized above. If interested, e-mail the required documents to Justus Piater as soon as possible and no later than 2024-04-24. *One Project Position* The research activity comprises the integration of robotic perception and execution mechanisms for task-oriented object manipulation in everyday environments. The (negotiable) focus is on affordance-driven object part segmentation and object manipulation using reinforcement learning. The position is already available. The starting date is as soon as possible and will be defined with the selected candidate. For further information and applications, please send an email to Alejandro Agostini . *Characteristics of All Positions* The monthly gross salary is based on the FWF salary scale for doctoral candidates. Note that the gross monthly salary is paid 14 times per year. Furthermore, the university has numerous attractive offers for employees. *Your Profile* Applicants must have - earned, or be about to earn, an M.Sc. degree or equivalent in computer science or other relevant area, - an excellent academic record, - a strong background in machine learning and in robotics or computer vision, - excellent mathematical and coding skills (C/C++, ROS, Python), - excellent written and oral communication skills in English, and - enthusiasm for leading-edge research, a team spirit and independent problem-solving skills. Required documents: - CV. - Motivation letter including previous research experience and research interests. - Transcripts of grades obtained for B.Sc. and M.Sc. degrees. - Certificates for academic degrees. - Names and contact details of 2 referees. Working Environment: The University of Innsbruck offers a complete set of academic curricula and currently counts 28000 students. The Department of Computer Science is highly productive in diverse research domains and is currently expanding its capacity in Artificial Intelligence. Innsbruck is home to 35000 students who imprint a distinctive, international student atmosphere upon this lively city of 130000. Beautifully located in the Tyrolean Alps, on the Inn river and surrounded by summits of up to 2718m, Innsbruck offers outstanding opportunities and quality of life all around the year. -- University of Innsbruck, Austria Head, Digital Science Center https://www.uibk.ac.at/disc/ Computer Science, Intelligent and Interactive Systems https://iis.uibk.ac.at/ From efipatm at gmail.com Mon Apr 8 06:11:05 2024 From: efipatm at gmail.com (Efi) Date: Mon, 8 Apr 2024 03:11:05 -0700 Subject: Connectionists: CFP - Big Visual Data Analytics (BVDA) Workshop at ICIP, 27-30 October 2024, Abu Dhabi, UAE Message-ID: *CALL FOR PAPERS* *Big Visual Data Analytics (BVDA) Workshop** at **ICIP 2024* *IEEE International Conference on Image Processing, 27-30 October 2024, Abu Dhabi, UAE* We invite researchers and practitioners working on various aspects of *big visual data analytics* to submit their work to the *Big Visual Data Analytics (BVDA) Workshop*, organized in conjunction with the* IEEE International Conference on Image Processing (ICIP) 2024. *The ever-increasing visual data availability leads to repositories or streams characterized by big data volumes, velocity (acquisition and processing speed), variety (e.g., RGB or RGB-D or hyperspectral images) and complexity (e.g., video data and point clouds). Their processing necessitates novel and advanced visual analysis methods, in order to unlock their potential across diverse domains. The *BVDA Workshop* aims to explore this rapidly evolving field encompassing cutting-edge methods, emerging applications, and significant challenges in extracting meaning and value from large-scale visual datasets. From high-throughput biomedical imaging and autonomous driving sensors to satellite imagery and social media platforms, visual data has permeated nearly every aspect of our lives. Analyzing this data effectively requires efficient tools that go beyond traditional methods, leveraging advancements in machine learning, computer vision and data science. Exciting new developments in these fields are already paving the way for *fully and semi-automated visual data analysis workflows at an unprecedented scale.* This workshop will provide a platform for researchers and practitioners to discuss recent breakthroughs and challenges in big visual data analytics, explore novel applications across diverse domains (e.g., environment monitoring, natural disaster management, robotics, urban planning, healthcare, etc.), as well as for fostering interdisciplinary collaborations between computer vision, data science, machine learning, and domain experts. Its ultimate goal is to help identify promising research directions and pave the way for future innovations. The BVDA Workshop delves deeper into specific aspects of big visual data, complementing the broader ICIP themes. Thus it can generate new research interest and collaborations within the main conference community, while attracting researchers and practitioners specifically interested in big visual data analytics. Its interdisciplinary nature, its focus on cutting-edge areas (e.g., large Vision-Language Models, distributed deep neural architectures, fast generative models, etc.) and its synergies with neighboring fields (e.g., privacy-preserving analytics, real-time visual analytics, ethical considerations, etc.) broaden the discussion. *Topics of interest* include (non-exhaustively) the following ones: - Scalable algorithms and architectures for big visual data processing and analysis. - High-performance computing, distributed and parallel processing, efficient data storage and retrieval for big visual data analysis. - Deep learning architectures for large-scale visual content understanding, search & retrieval: Convolutional Neural Networks (CNNs), Transformers, Self-Supervised Learning, etc. - Big visual data summarization. - Decentralized/distributed DNN architectures for big visual data analysis. - Cloud/edge computing architectures for big visual data analysis. - Multimodal big visual data analysis. - Large Vision-Language Models/Foundation Models. - Fast generative models for visual data: Synthesizing realistic images/videos, data augmentation, in-painting and manipulation. - Fast Interpretability and eXplainability (XAI) of visual analytics models: Understanding and communicating model decisions, trust and bias in AI systems. - Privacy-preserving analytics in the context of big visual data: Secure data processing, differential privacy, federated learning. - Visual analytics for real-time applications: Efficient analysis of visual streaming data, edge/fog computing. - Visual analytics for specialized domains: Remote sensing, natural disaster management, medical imaging, social media analysis, etc. - Ethical considerations in big visual data analytics: Data ownership, fairness, accountability, societal impact. The regular ICIP paper template/style must be used for submission. All accepted contributions will be *published in IEEE Xplore*. The paper submission deadline is *May 9**, **2024*. *For further details and submission instructions visit: * https://icarus.csd.auth.gr/cfp-bvda-icip24-workshop/ Organizers Prof. Ioannis Pitas: Chair of the International AI Doctoral Academy (AIDA ), Director of the Artificial Intelligence and Information analysis (AIIA ) Lab, Aristotle University of Thessaloniki, Greece. Prof. Massimo Villari: University of Messina, Italy. Dr. Ioannis Mademlis: Postdoctoral researcher at the Harokopio University of Athens. -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Mon Apr 8 03:28:19 2024 From: info at icas.cc (ICAS Organizing Committee) Date: Mon, 8 Apr 2024 09:28:19 +0200 Subject: Connectionists: Last seats left @ 7th Advanced Course on Data Science & Machine Learning - ACDL 2024 - From Deep Learning to Multimodal Foundation Models | June 10-14 | Riva del Sole Resort & SPA - Italy -> Early Registration: by 23 April Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested, thanks * * Last 60 seats left, hurry up and register! * #ACDL2024, An Interdisciplinary Course: From Deep Learning to Generative AI ACDL 2024 is a full-immersion 5-day course in Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc. & Generative AI with lectures delivered by world-renowned experts. If you want to learn NLP, Generative AI Transformers, Diffusion Models, Large language models, Vision - Large-scale vision models, Vision and language, Beyond vision and language, Multimodal Foundation Models and much more then take part in ACDL 2024! ;-) Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2024.icas.events acdl at icas.cc EARLY REGISTRATION: by April 23 (AoE) https://acdl2024.icas.events/registration/ Oral Presentation Submission Deadline: by April 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2024.icas.events/lecturers/ * Joseph Sifakis, Verimag Laboratory, Grenoble, France *Turing Award* Lectures ?Artificial Intelligence: Where We Are, Where We Are Going?? * Gabriel Barth-Maron, DeepMind, London, UK 4 Lessons on "Multimodal Foundation Models" * Sergiy Butenko, Texas A&M University, USA ?Cluster-detection Methods in Network-based Data Analysis? ?Continuous Approaches to Cluster-Detection Problems in Networks ? * Sven Giesselbach, Fraunhofer Institute - IAIS, Germany 5 Lessons on "Introduction on Foundation Models" * Ramin Hasani, MIT, USA 4 Lessons on "Continuous Neural Networks / Liquid Neural Networks" * Nora Kassner, DeepMind, London, UK "Large Language Models: Life after Pre-training" "Large Language Models: Evaluation" "Large Language Models: Reasoning and Factuality" "Large Language Models: Retrieval augmentation and Tool-use" * Petros Koumoutsakos, Harvard University, USA ?Machine Learning for Modeling and Control of Complex Systems? 1/2 ?Machine Learning for Modeling and Control of Complex Systems? 2/2 ?Solving forward and inverse problems with and without neural networks? ?Bayesian Uncertainty Quantification? * Maria Liakata, The Alan Turing Institute, UK 4 Lessons on "Longitudinal Language Processing with User Generated Content" * Panos Pardalos, University of Florida, USA Lectures 1-2 TBA Topics: Data Science, Application to Neuroscience * Jakub M. Tomczak, Eindhoven University of Technology, The Netherlands 4 Lessons on ?Deep Generative Modelling? * Rianne van den Berg, Microsoft Research Amsterdam, The Netherlands 3 Lessons on "Diffusion Models" * Pascal Van Hentenryck, Georgia Institute of Technology, USA 3 Lessons on "Fusing Machine Learning and Optimization for Engineering" * Max Welling, University of Amsterdam, The Netherlands 3 Lessons on "Generalized Belief Propagation Algorithms for Tensor Network Contractions" PAST LECTURERS: https://acdl2024.icas.events/past-lecturers/ ACDL 2024 VENUE: https://acdl2024.icas.events/venue/ Riva del Sole Resort & SPA Localit? Riva del Sole? Castiglione della Pescaia (Grosseto) CAP 58043? Tuscany? Italy p: +39-0564-928111 e: booking.events at rivadelsole.it w: https://www.rivadelsole.it/en/ PAST EDITIONS: https://acdl2024.icas.events/past-editions/ REGISTRATION: https://acdl2024.icas.events/registration/ CERTIFICATE & 8 ECTS: PhD students, Postdocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants. The Course will involve a total of 36-40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. TO PARTICIPATE IN ACDL 2024, all attendants must (1/2) register for the course (by April 23, 2024) and (2/2) book accommodation at the course venue, Riva del Sole Resort & SPA? (by April 23, 2024); all attendants must stay at the Riva del Sole Resort & SPA. Once accommodation has been booked at Riva del Sole Resort & SPA? the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl at icas.cc). ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events at rivadelsole.it) the name, surname and email address. Otherwise the solution is to book an apartment in single use. Anyone interested in participating in ACDL 2024 should register as soon as possible. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2024 Directors. ACDL 2024 Scientific & Organizing Committees. https://acdl2024.icas.events acdl at icas.cc -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Mon Apr 8 03:14:09 2024 From: info at icas.cc (ICAS Organizing Committee) Date: Mon, 8 Apr 2024 09:14:09 +0200 Subject: Connectionists: Call for Participation & Papers - ACAIN 2024 - 4th Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: April 23 In-Reply-To: References: Message-ID: Call for Participation & Call for Papers (apologies for multiple copies) ________________________________________________________________________ The 4th International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain at icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Symposium Deadlines Paper Submission (Symposium): by April 23, 2024 (AoE). https://acain2024.icas.events/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2024 Notification of Decision for Papers (Symposium): by July 10, 2024. Camera Ready Submission (Symposium): by July 20, 2024. Author Registration (Symposium): by July 20, 2024. Course Deadlines Regular Registration (Course): by April 23, 2024. https://acain2024.icas.events/registration/ Late Registration (Course): from April 24, 2024. Oral Presentation Submission (Course): by April 23, 2024. Notification of Decision for Oral Presentation (Course): by August 31, 2024. SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ SYMPOSIUM CALL FOR PAPERS: https://acain2024.icas.events/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2024.icas.events/program-committee/ ORGANIZING COMMITTEE: https://acain2024.icas.events/symposium-committee/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Localit? Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events at rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain at icas.cc W: https://acain2024.icas.events FB: https://www.facebook.com/ACAIN.LakeDistrict -- -------------- next part -------------- An HTML attachment was scrubbed... URL: From schavlis at imbb.forth.gr Mon Apr 8 03:02:38 2024 From: schavlis at imbb.forth.gr (Spyridon Chavlis) Date: Mon, 8 Apr 2024 10:02:38 +0300 Subject: Connectionists: TA applications now open for Simons Computational Neuroscience Imbizo, 12 January to 2 February 2025 Message-ID: <1b6c9458-81bc-4ee5-9249-f9950d1077f2@imbb.forth.gr> Dear Colleagues, We are looking for teaching assistants for the Simons Computational Neuroscience Imbizo, a computational neuroscience summer school held in Cape Town, South Africa (https://imbizo.africa/). We are looking for post-doctoral or advanced PhD researchers to join our team as Teaching Assistants (TAs) for the Imbizo in January 2025. Please apply via the link: https://imbizo.africa/ta-application/. Before you apply, you should have the following documents/information ready: 1) A brief CV (2-4 pages is fine) 2) A short motivational statement about your scientific interests and background, why you would be a good fit, and your favourite topics for teaching tutorials and supervising student projects. 3) Contact details of one referee. *The application deadline is April 25, 2024 (20:00 UTC), and the reference letter submission deadline is April 29, 2024 (20:00 UTC).* Please notify your referee beforehand to meet the deadline. *About the Imbizo:* The school hosts 28-30 students for an amazing 22 days of lectures, tutorials, projects and forging new friendships. All this takes place on Noordhoek beach, between the mountain and the ocean. It's a spectacular location. * /Arrival day: Sunday 12 January 2025/ * /Imbizo dates: Monday 13 January to Saturday 1 February 2025/ * /Departure day: Sunday 2 February 2025 / The Imbizo is a special experience, with students being totally immersed in academic, social, touristic and cultural activities, and has resulted in student and TA groups from previous schools becoming very close, personally and scientifically. This is fantastic, as a major goal of the Imbizo project is to help young African researchers grow their academic peer and friend group. *About being a TA:* * Each TA runs one afternoon tutorial in the first week of the school, which they design themselves. * Each TA will teach a different topic, which the TA's choose among themselves, to provide students with a broad exposure to problems and methods in computational neuroscience. * Each TA is also assigned 5 students to supervise for project work during the last 2 weeks of the school. * TAs will be asked to help process student applications. *TAs are integral in helping run the school.* In addition to academic support, they foster good social interactions and academic discussions among students, and they help 'shy' students meet faculty. They also act as 'social glue?, helping to notice and support students who may be feeling ill, not fitting in socially, or generally having difficulties. To fulfill these roles, TAs need to be at all school meals and activities. We will also need a little help processing student applications. *What we provide:* We cover as direct as possible, economy class tickets to Cape Town, as well as all board and lodging during the school. *We will start assessing applications on May 1, 2024.* A call for student applications will follow soon. We hope to hear from you soon! Let us know if you have any questions. Thanks and regards Demba Ba, Arif Hamid, Peter E Latham, Spiros Chavlis, and Emma Vaughan Simons Computational Neuroscience Imbizo Committee 2025 Twitter: @CompNeuroImbizo email: isicn.imbizo[AT]gmail.com -- *Spyridon Chavlis, PhD* Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Nikolaou Plastira, 100 GR 70013 Heraklion, Crete, Greece Tel: (+30) 2810 39 1264 ?mail: schavlis at imbb.forth.gr Webpage: dendrites.gr -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.communication at fz-juelich.de Mon Apr 8 04:18:09 2024 From: bernstein.communication at fz-juelich.de (Alexander Lammers) Date: Mon, 8 Apr 2024 10:18:09 +0200 Subject: Connectionists: Deadline approaching - Brains for Brains Young Researcher Award Message-ID: <8cfd1086-35b9-4b21-ad36-949894e15202@fz-juelich.de> International early career scientists who have shown their outstanding potential at a very early career stage are invited to apply for the Brains for Brains Award. You can win a 2000 ? travel grant to join the Bernstein Conference 2024 and visit labs of Bernstein members. ____ Who can apply? International students of all nationalities from relevant disciplines (biology, medicine, physics, mathematics, computer science, engineering, psychology, etc.) who plan to pursue a research career in computational neuroscience and who have at least one peer reviewed publication (as co-author) or peer reviewed conference abstract (as first author). ____ The award is endowed with: * a travel grant of 2.000 ? for a one-week trip to Germany, including free participation at the Bernstein Conference 2024 in Frankfurt * the chance to present your research as a talk and as a poster at the Bernstein Conference 2024 * individually planned visits to labs of the Bernstein Network Computational Neuroscience ____ Application deadline: April 21, 2024, 23:59 CEST ____ Details & application: https://bernstein-network.de/en/network/awards-and-initiatives/brains-for-brains-young-researcher-award/ ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum J?lich GmbH 52425 J?lich Sitz der Gesellschaft: J?lich Eingetragen im Handelsregister des Amtsgerichts D?ren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Gesch?ftsf?hrung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Mon Apr 8 07:34:59 2024 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Mon, 8 Apr 2024 11:34:59 +0000 Subject: Connectionists: Abstracts & registration for UK Neural Computation meeting July 8-10th, Sheffield In-Reply-To: References: Message-ID: Abstract submission and registration are now open for the UK Neural Computation meeting 2024 (Sheffield 8-10th July). Abstracts: https://neuralcomputation.uk/submission.html Deadline of 17th May 2024 4 submitted abstracts will be selected for main meeting talks Registration: https://neuralcomputation.uk/registration.html Deadline of 21st June 2024 Discounted accommodation options also available. 8 July: ECR day. ~40 places are available 9-10 July: main meeting Please spread the word! All info: https://neuralcomputation.uk/ Enquiries: uknc24 at sheffield.ac.uk Organisers Hannes Saal (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.K.Seth at sussex.ac.uk Mon Apr 8 08:48:21 2024 From: A.K.Seth at sussex.ac.uk (Anil Seth) Date: Mon, 8 Apr 2024 12:48:21 +0000 Subject: Connectionists: positions available in consciousness research at Sussex Message-ID: Apologies for cross posting: 2x Postdoc and 3x PhD new positions now available at Sussex! Do you have a strong background in cognitive and computational neuroscience and a desire to contribute to the cutting edge of consciousness research? Two postdoctoral research positions and three PhD positions are now available at the Sussex Centre for Consciousness Science (SCCS; https://www.sussex.ac.uk/research/ccs/). The SCCS is a University of Sussex Centre of Excellence and an internationally prominent group in consciousness science, situated in the beautiful Falmer campus of Sussex University, and boasting enviable research facilities as well as strong collaborative links with a range of national and international partners. The positions are supported by an ERC Advanced Investigator Grant (project CONSCIOUS; 2 postdocs and 2 PhDs) to Anil Seth, and by the SCCS, via the School of Informatics and Engineering (1 PhD). The postdoc positions funded for 2 years with possible extension for another 2, starting as soon as suitable candidates are identified. The PhD positions are fully funded (for both UK and overseas candidates) for 3.5 years, starting in September 2024 (earlier start may be negotiable). The ERC positions are all within the broad remit of computational (neuro)phenomenology, exploring different applications of a predictive processing view of conscious perception. One of the ERC PhD positions will focus on perceptual diversity, analysing and extending our unique Perception Census project (https://perceptioncensus.dreamachine.world/). The SCCS PhD is flexible in terms of project focus and supervisor; here, we invite PhD proposals that have a computational/informatics element. *Updated Deadline*. Apply by April 26 for all positions. Further details, including how to apply, are here: https://www.sussex.ac.uk/research/centres/sussex-centre-for-consciousness-science/people/join-us ------------------------------------------- Anil K. Seth, D.Phil. Professor of Cognitive and Computational Neuroscience, University of Sussex Director, Sussex Centre for Consciousness Science, University of Sussex Co-Director, Canadian Institute for Advanced Research, Program on Brain, Mind, and Consciousness Advanced Investigator, European Research Council Editor-in-Chief, Neuroscience of Consciousness www.anilseth.com @anilkseth [Being You Pb Digital Assets v1 Email copy.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Being You Pb Digital Assets v1 Email copy.png Type: image/png Size: 58001 bytes Desc: Being You Pb Digital Assets v1 Email copy.png URL: From schavlis at imbb.forth.gr Mon Apr 8 10:31:10 2024 From: schavlis at imbb.forth.gr (Spyridon Chavlis) Date: Mon, 08 Apr 2024 17:31:10 +0300 Subject: Connectionists: TA applications now open for Simons Computational Neuroscience Imbizo, 12 January to 2 February 2025 Message-ID: <20240408173110.Horde.mnqe74VSm-KsgiVwoVzEeQ2@webmail.imbb.forth.gr> Dear Colleagues, We are looking for teaching assistants for the Simons Computational Neuroscience Imbizo, a computational neuroscience summer school held in Cape Town, South Africa (https://imbizo.africa/). We are looking for post-doctoral or advanced PhD researchers to join our team as Teaching Assistants (TAs) for the Imbizo in January 2025. Please apply via the link: https://imbizo.africa/ta-application/. Before you apply, you should have the following documents/information ready: 1) A brief CV (2-4 pages is fine) 2) A short motivational statement about your scientific interests and background, why you would be a good fit, and your favourite topics for teaching tutorials and supervising student projects. 3) Contact details of one referee. The application deadline is April 25, 2024 (20:00 UTC), and the reference letter submission deadline is April 29, 2024 (20:00 UTC). Please notify your referee beforehand to meet the deadline. About the Imbizo: The school hosts 28-30 students for an amazing 22 days of lectures, tutorials, projects and forging new friendships. All this takes place on Noordhoek beach, between the mountain and the ocean. It's a spectacular location. Arrival day: Sunday 12 January 2025 Imbizo dates: Monday 13 January to Saturday 1 February 2025 Departure day: Sunday 2 February 2025 The Imbizo is a special experience, with students being totally immersed in academic, social, touristic and cultural activities, and has resulted in student and TA groups from previous schools becoming very close, personally and scientifically. This is fantastic, as a major goal of the Imbizo project is to help young African researchers grow their academic peer and friend group. About being a TA: Each TA runs one afternoon tutorial in the first week of the school, which they design themselves. Each TA will teach a different topic, which the TA's choose among themselves, to provide students with a broad exposure to problems and methods in computational neuroscience. Each TA is also assigned 5 students to supervise for project work during the last 2 weeks of the school. TAs will be asked to help process student applications. TAs are integral in helping run the school. In addition to academic support, they foster good social interactions and academic discussions among students, and they help 'shy' students meet faculty. They also act as 'social glue?, helping to notice and support students who may be feeling ill, not fitting in socially, or generally having difficulties. To fulfill these roles, TAs need to be at all school meals and activities. We will also need a little help processing student applications. What we provide: We cover as direct as possible, economy class tickets to Cape Town, as well as all board and lodging during the school. We will start assessing applications on May 1, 2024. A call for student applications will follow soon. We hope to hear from you soon! Let us know if you have any questions. Thanks and regards Demba Ba, Arif Hamid, Peter E Latham, Spiros Chavlis, and Emma Vaughan Simons Computational Neuroscience Imbizo Committee 2025 Twitter: @CompNeuroImbizo email: isicn.imbizo[AT]gmail.com -- Spyridon Chavlis, PhD Postdoctoral Researcher Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Vassilika Vouton, Heraklion, Crete, Greece Email: schavlis at imbb.forth.gr Webpage: http://www.dendrites.gr -- This message has been scanned by E.F.A. Project and is believed to be clean. From lilia-del-carmen.MENA-GOMEZ at univ-amu.fr Mon Apr 8 10:55:57 2024 From: lilia-del-carmen.MENA-GOMEZ at univ-amu.fr (MENA GOMEZ Lilia del carmen) Date: Mon, 8 Apr 2024 14:55:57 +0000 Subject: Connectionists: ILCB Summer School 2024-Language, Communication & the Brain In-Reply-To: <42b0d53b69f24c6aae795ff2a55cb20a@univ-amu.fr> References: <00357c3568ee4c97870dd74cbddbe696@univ-amu.fr>, <232C8C02-07D9-40F3-958D-2A1A231FF7C7@inserm.fr>, <7348737942564d7b90dcc8b69bcddfca@univ-amu.fr>, <7017e7412ef94e078acd822343811e75@univ-amu.fr>, <7fc1b581cca0407eb2b0abf84935926d@univ-amu.fr>, <74e6973ce8ad4f81a6481777cc7ad225@univ-amu.fr>, , <42b0d53b69f24c6aae795ff2a55cb20a@univ-amu.fr> Message-ID: [cid:b1b2458f-405c-4d37-86d1-70bdd1f59de3] Join Us at the ILCB Summer School 2024 - Language, communication & the brain We are excited to announce that applications for the Institute of Language Communication and the Brain (ILCB) Summer School 2024 are now open! Scheduled from Monday, August 26th to Friday, August 30th, our program promises an enriching educational experience at the Centre International de Rencontres Math?matiques (CIRM) located within the picturesque Parc National des Calanques, Marseille, Provence, France. [cid:c67ab4a8-fffc-4fa4-b2ca-d150653bca71] Key Details: * Dates: August 26th - August 30th, 2024 * Venue: Centre International de Rencontres Math?matiques (CIRM), Parc National des Calanques, Marseille, Provence, France * Tuition: Free of charge, courtesy of ILCB funding * Expenses: Participants are responsible for covering travel, accommodation, and meal expenses * Limited Availability: Access to our ILCB Summer School is limited * Deadline for applications : Friday, May 24, anywhere on earth * To view the program details and access the application procedure, please check our website. You can apply to our summer school here. [https://sesame.univ-amu.fr/Logos/logo_amu.jpg] Lilia MENA ILCB - INSTITUTE OF LANGUAGE, COMMUNICATION AND THE BRAIN Aix-Marseille Universit? - Campus Aix-en-Provence, 5 AVE Pasteur, 13100 Aix-en-Provence Email : lilia-del-carmen.MENA-GOMEZ at univ-amu.fr Afin de respecter l'environnement, merci de n'imprimer cet email que si n?cessaire. ________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: pastedImage.png Type: image/png Size: 11698 bytes Desc: pastedImage.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: pastedImage.png Type: image/png Size: 269266 bytes Desc: pastedImage.png URL: From dorien.herremans at gmail.com Tue Apr 9 01:40:51 2024 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Tue, 9 Apr 2024 13:40:51 +0800 Subject: Connectionists: Google PhD Fellowships - Music and AI in Singapore Message-ID: Dear community, The Google PhD fellowship programs are currently accepting applications in South East Asia. Apply before 8 May for this prestigious fellowship. The Audio, Music, and AI (AMAAI) Lab at SUTD invites strong candidates to apply to the program for enrollment at Singapore University of Technology and Design (SUTD). SUTD is a relatively new university, founded in collaboration with MIT. You will be supervised by Prof. Dorien Herremans ( dorienherremans.com). The Google PhD Fellowship Program aims to recognize outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields. Fellowships support promising PhD candidates of all backgrounds who seek to influence the future of technology. Applications close on May 8, 2024. The AMAAI lab is engaged in cutting-edge research at the intersection of music, audio, and artificial intelligence. Our PhD students contribute to groundbreaking projects that explore areas such as: - Generative Music AI: We investigate the design of intelligent systems such as Mustango text-to-music. - Music Information Retrieval: We design algorithms capable of navigating vast music libraries based on complex criteria such as mood, genre, or even specific emotions conveyed by the music. - AI Music Production: We explore the creation of AI assistants that can produce professional-quality music arrangements or remixes tailored to an individual's preferences.- Affective Computing for Music A PhD in the AMAAI lab offers a unique opportunity to: - Conduct research at the forefront of a rapidly developing field with the potential to significantly impact the future of music creation and interaction. - Gain experience in presenting research at top academic conferences and publishing groundbreaking papers in prestigious journals. - Potentially forge collaborations with leading figures in the music industry. The ideal candidate will possess: - A strong academic background in computer science, electrical engineering, music information retrieval, or a related field. - A demonstrated passion for music and a keen interest in artificial intelligence. - Excellent programming skills and experience with relevant machine learning libraries (PyTorch etc). - The ability to work independently while also thriving in a collaborative research environment. - Strong communication and writing skills. Candidates with a hands-on, proactive approach and problem-solving skills are strongly encouraged to apply. Given the design-centered approach at SUTD, the focus during the PhD will not only be on high-quality publications, but also on designing practical applications. If you want to apply at SUTD under the supervision of Prof. Dorien Herremans, do fill out the application at Google, and apply for the program at SUTD: - To apply: https://cseduapplication.withgoogle.com/applications/phdfellowshipindsea2024/create-application/edit - Go to (https://research.google/outreach/phd-fellowship/) to find more details about Google PhD Fellowships Southeast Asia 2024, application process and eligibility criteria. - Apply for enrollment ( https://www.sutd.edu.sg/Admissions/Graduate/PhD-Programmes/SUTD-PhD-Programme/Application). This will be for January 2025 intake. After you apply, please send me an email with your application number so I can follow up. SUTD applications are on a 6 month cycle. Other than the Google Fellowships, there are other funding options available: - SINGA International graduate programme - International candidates (excl. India and China) ( https://www.a-star.edu.sg/Scholarships/for-graduate-studies/singapore-international-graduate-award-singa ) - Marie-Curie international fellowships ( https://marie-sklodowska-curie-actions.ec.europa.eu/funding) Best, -- Dorien Herremans, PhD Associate Professor, ISTD & DAI Director, SUTD Game Lab Lead, AMAAI (Audio, Music and AI Lab) http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 2.401-33 -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Tue Apr 9 04:02:26 2024 From: stm at socio.org.uk (STM STMet 2024) Date: Tue, 9 Apr 2024 13:32:26 +0530 (IST) Subject: Connectionists: Real-Time Intelligent Systems- Springer LNNS In-Reply-To: References: Message-ID: <1132623559.4434268.1712649746347@ap1.myprofessionalmail.com> Sixth International Conference on Real-Time Intelligent Systems (RTIS 2024) Tien Giang University My Tho (near Ho-chi-Minh) Vietnam October 17-19, 2024 www.socio.org.uk/rtis Springer Lecture Notes in Networks and Systems (LNNS) The International Conference on Real-time Intelligent Systems (RTIS) has traveled from Beijing, China (2016), to Ho-Chi-Min, Vietnam. The sixth edition will take place at Tien Giang University. Over the last few years, real-time intelligent computing has radically transformed the human lifestyle. Research on real-time intelligent systems is multi-disciplinary, exploiting concepts from diverse areas such as big data processing, computational intelligence, location-based services, recommendation systems, and multimedia processing. In today?s highly dynamic environment, analysing data in real-time is necessary to understand how systems process data, reason the outputs, and anticipate trends in intelligent computing. To this end, this conference will serve as a platform to manifest the ongoing research in the field. Thus, RTIS welcomes theoretically grounded, methodologically sound papers that address aspects related to topics, such as: Artificial Intelligence and Data mining Streaming data, streaming engines Trace-based intelligent real-time services Adaptive vision algorithms Location-based services Intelligent Robotic Systems Collaborative Intelligence Data capture in real-time Data quality and cleansing Intelligent Data Analysis Intelligent Database Systems Knowledge representation and reasoning Intelligent information fusion Large Language Models, cognitive methods, sequential inference, data mining, pattern/behavioral analysis, Big Data systems and applications for high-velocity data Intelligent Information Systems Privacy and security in Intelligence Software Engineering Solutions Intelligent Soft Computing Real-time multiprocessor systems Internet of Things Architectures for Intelligence Real-time distributed coding Smart services and platforms Real-time modelling user information needs Wireless Communication Real-time intelligent communication Real-time intelligent network solutions Mobile Smart Systems Broadband Intelligence Cloud Computing and Intelligence Collaborative Intelligence Analysis in domains such as energy, sensors Decision support systems in real-time Multi-agent Intelligent Systems Multilingual information access Recommendation systems Real-time intelligent alert systems Real-time remote access systems Intelligent Transportation Systems Autonomous systems (incl. autonomous vehicles and drones) Distributed systems Cloud/edge computing/fusion Defence/security, robotics, aerospace, intelligent transportation Mining/Manufacturing Environmental monitoring Critical Real-time Applications Real-time noise removal systems Event-driven analytics Intelligent Fuzzy Systems Machine translation in real-time OLAP for real-time decision support Crowdsourcing and crowd intelligence Submission, proceedings Papers must be submitted online through OpenConf. Author instructions and LaTex2e (preferred) and Word macro files are available on the submission page. Submitted papers should be at most 14 pages (long papers) and 8 pages (short ones), including figures, tables and references (in the Springer template). Authors of accepted papers are required to transfer their copyrights. For a paper to appear in the proceedings, at least one of the authors MUST register for the conference by the camera-ready submission deadline with a full registration. Springer?s Lecture Notes in Networks and Systems (LNNS) (https://www.springer.com/series/15179) will publish the accepted papers and be indexed in SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, and SCImago. All the papers published in the series are submitted for consideration in the Web of Science. Important Dates Submission of papers: August 05, 2024 Notification: September 01, 2024 Camera-ready: October 01, 2024 Registration: October 01, 2024 Conference Dates: October 17-19, 2024 Honorary Chair Vo Ngoc Ha, Tien Giang University, Vietnam General Chairs Le Minh Tung, Tien Giang University, Vietnam Mart?n L?PEZ-NORES, University of Vigo, Spain Program Chairs Nguyen Hoang Vu, Tien Giang University, Vietnam Pit Pichappan, Digital Information Research Labs, India & UK Dion Goh Hoe Lian, Nanyang Technological University, Singapore Co-Program Chairs Duong Van Hieu, Tien Giang University, Vietnam Ricardo Rodriguez-Jorge, Technological Centre Ceit, Spain Pavel Losket, Zhejiang University-University of Illinois at Urbana Champaign Institute, China Organizing Chair Cao Nguyen Thi, Tien Giang University, Vietnam Publicity Chair Beniysa Mohsin, LTI laboratory, Abdelmalek Essa?di University, Morocco Paper submission at https://socio.org.uk/rtis/paper-submission/ Contact stm at socio.org.uk > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From susan.fischer at tue.mpg.de Tue Apr 9 06:44:37 2024 From: susan.fischer at tue.mpg.de (Susan Fischer) Date: Tue, 09 Apr 2024 12:44:37 +0200 Subject: Connectionists: Postdoc positions in Cognitive Neuroscience, Computational Psychiatry and Developmental Psychology, University of Tuebingen, Germany Message-ID: <905C08E4-8C7B-436A-B495-3B993EF2957B@tue.mpg.de> **Apologies for cross-posting** Dear colleagues, The "Developmental Computational Psychiatry" lab and the W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of T?bingen (Germany) is currently hiring new postdocs. The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with developmental psychology background * Postdoc with experimental & neuroimaging (MEG / MRI) background More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. Best regards, Susan. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & W3-Professorship ?Computational Psychiatry?, Prof Tobias Hauser Max Planck Institute for Biological Cybernetics & Eberhard Karls Universit?t T?bingen & Universit?tsklinik f?r Psychiatrie und Psychotherapie AI Research Building R 20-7/A21 Maria-von-Linden-Str. 6 72076 T?bingen Germany ************************************************ -------------- next part -------------- An HTML attachment was scrubbed... URL: From damien.DEPANNEMAECKER at univ-amu.fr Tue Apr 9 07:24:27 2024 From: damien.DEPANNEMAECKER at univ-amu.fr (DEPANNEMAECKER Damien) Date: Tue, 9 Apr 2024 11:24:27 +0000 Subject: Connectionists: EITN Fall School in Computational Neuroscience 2024: Applications are now open! Message-ID: <95d2f01fe24c4b6db81f5355768b65a5@univ-amu.fr> EITN Fall School in Computational Neuroscience 2024 Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: ? Cellular models, and models of brain signals ? Circuit models and networks ? Mean-field models ? Whole-brain models Hands-on learning schedule based on: ? Morning classes and tutorials ? Group projects in the afternoon ? Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024 at groups.emdesk.com You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitnfs2024 at groups.emdesk.com for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Faculty and Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France)) Sacha Van Alba (Research Centre J?lich and University of Cologne, Allemagne) Egidio D?Angelo (University of Pavia, Italie) Michaele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson(AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker(AMU, Marseille France) HuifangWang (AMU, Marseille France) ... -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Tue Apr 9 08:28:40 2024 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 9 Apr 2024 12:28:40 +0000 Subject: Connectionists: NEST Conference 2024 - reminder for abstract submission deadline on 15 April 2024 Message-ID: Dear all, The abstract submission deadline for the virtual NEST Conference 2024 is approaching (15 April 2024). We are looking forward to your contributions! The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Monday/Tuesday 17/18 June 2024. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. Important dates 15 April 2024 - Deadline for submission of contributions 26 April 2024 - Deadline for NEST Initiative membership applications eligible for fee reduction 08 May 2024 - Notification of acceptance 07 June 2024 - Registration deadline 17 June 2024 - NEST Conference 2024 starts For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: From contact at sscc.fr Wed Apr 10 01:34:47 2024 From: contact at sscc.fr (Samir Ouchani) Date: Wed, 10 Apr 2024 07:34:47 +0200 Subject: Connectionists: [First CFP] CRiSIS 2024: The 19th International Conference on Risks and Security of Internet and Systems Message-ID: <005101da8b08$d68e4c20$83aae460$@sscc.fr> Apologies if you receive multiple copies 19th International Conference on Risks and Security of Internet and Systems (CRiSIS 2024) November 26th - 28th, 2024 Aix-en-Provence, France The 19th International Conference on Risks and Security of Internet and Systems (CRiSIS) in 2024 continues its tradition of addressing critical security challenges in Internet-connected applications, networks, and systems. The indispensability of the Internet for information exchange among diverse user groups and organizations has led to heightened risks around security and privacy. This vulnerability is exacerbated by the sophistication of online attacks, the proliferation of cybercrime, and the readily available tools for attackers, who are increasingly motivated and skilled. The advent of complex technologies, including pervasive computing, mobile, and wireless devices and networks, introduces new security challenges, necessitating the deployment of advanced security mechanisms and techniques. These advancements are crucial for protecting critical sectors such as energy, transportation, health, defense, banking, critical infrastructures, embedded systems and networks, avionics systems, and more, ensuring an acceptable level of security assurance. CRiSIS 2024 serves as an essential platform for stakeholders in computer and network security from the industrial, academic, and governmental sectors to convene, share insights, and showcase the latest developments in combating Internet-related security threats, vulnerabilities, and the necessary countermeasures to address them. TOPICS ====== We target contributions from both academia and industrials on the following topics, but not limited to: - AI and machine learning-based security approaches - Analysis and management of risk - Attacks and defenses - Attack data acquisition and network monitoring - Authorization, Authentication, and Identity Management - Blockchain and Distributed Ledger Technologies - Cryptography, biometrics, watermarking - Dependability and fault tolerance of Internet applications - Distributed systems security and safety - Embedded system security and safety - Empirical methods for security and risk evaluation - Hardware-based security and physical security - Intrusion detection and prevention systems - Organizational, ethical, and legal issues - Privacy protection and anonymization - Risk-aware access and usage control - Analysis and management of cyber crisis - Security and risk assessment - Security and risks metrics - Security and dependability of operating systems - Security and safety of critical infrastructures - Security and privacy of peer-to-peer system - Security and privacy of wireless networks - Security in Cloud/Edge/Fog computing - Security models and security policies - Security of big data - Security of industrial control systems - Security of intelligent transportation systems - Security of e-commerce, electronic voting, and database systems - Security of new-generation networks - Security of smart cities - Security of smart grid - Security of social networks - Security of the IoT and IIoT - Security of VoIP and multimedia - Smartphone security and privacy - Traceability, metrology and forensics - Trust management - Ubiquitous computing security - Use of smart cards and personal devices for Internet applications - Virtualization security - Web and Web-service security IMPORTANT DATES ================ Submission deadline: June 15th, 2024 Notification of acceptance: July 15th, 2024 Camera-ready paper due: October 15th, 2024 PAPER SUBMISSION ================= Submitted papers must not significantly overlap with papers already published or those being concurrently submitted to a journal or conference with proceedings. Papers should be written in English and submitted electronically in PDF format. Selected papers presented at the conference will be included in the post-proceedings, to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. Authors are required to revise their papers according to review comments before publication. Pre-proceedings will be available at the time of the conference. The maximum length for submissions is 16 pages for full papers and 6 pages for short papers, following the LNCS formatting guidelines. We recommend the use of LNCS Springer Overleaf Template (https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer -science/kzwwpvhwnvfj#.WtR5Hy5ua71). Authors must upload their paper as PDF file using the EasyChair submission system: https://easychair.org/conferences/?conf=crisis2024 WEB SITE ======== https://crisis2024.univ-gustave-eiffel.fr GENERAL CHAIRS ============== - Fr?d?ric Cuppens, Polytechnique Montreal, Canada - Nora Cuppens, Polytechnique Montreal, Canada - Jean-Paul Mizzi, Universit? Gustave Eiffel, France - David Garcia, CESI Lineact, France PROGRAM COMMITTEE CHAIRS ========================== - Simon Collart Dutilleul, Universit? Gustave Eiffel, France - Samir Ouchani, CESI Lineact, France PUBLICITY CHAIRS =============== - Slim Kallel, University of Sfax, Tunisia ORGANIZING COMMITTE ===================== - David Garcia, CESI Lineact, France - Amine Mohammed Boudouaia, CESI Lineact, France - Malika Benkhalifa, Ecole d'Ing?nieurs CESI, France - Philippe Bon, Gustave Eiffel University, France - Seddik Reguieg, Gustave Eiffel University, France - Val?rie Osmont, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From jncor at dei.uc.pt Tue Apr 9 14:46:09 2024 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Tue, 9 Apr 2024 19:46:09 +0100 Subject: Connectionists: [CfP] Extended Deadline - 3rd Workshop on Enhancing Generative Machine Learning with Evolutionary Computation at GECCO24 Message-ID: Dear Colleague(s), Below you will find the extended deadline call for papers for EGML-EC 2024 - The Third workshop on Enhancing Generative Machine Learning with Evolutionary Computation. Extended deadline: 12 April, 2024. https://sites.google.com/view/egml-ec2024 Feel free to distribute, and thank you for your time. Best regards, The Workshop Chairs Jamal Toutouh Una-May O?Reilly Jo?o Correia Penousal Machado Erik Hemberg ---------------------------------------------------------------------- CALL FOR PAPERS EGML-EC at GECCO-2024 3rd Workshop on Enhancing Generative Machine Learning with Evolutionary Computation https://sites.google.com/view/egml-ec2024 Genetic and Evolutionary Computation Conference (GECCO'24) Melbourne, Australia, July 14 to 18, 2024 .Overview and Scope Generative Machine Learning has become a key field in machine learning and deep learning. In recent years, this field of research has proposed many deep generative models (DGMs) that range from a broad family of methods such as large language models (LLMs), generative adversarial networks (GANs), variational autoencoders (VAEs), Transformers, autoregressive (AR) models and stable diffusion models (SD). Although these methods have achieved state-of-the-art results in the generation of synthetic data of different types, such as images, speech, text, molecules, video, etc., Deep generative models are still difficult to train, optimize, and fine tune. There are still open problems, such as the vanishing gradient and mode collapse in DGMs, which limit their performance. Although there are strategies to minimize the effect of those problems, they remain fundamentally unsolved. In recent years, evolutionary computation (EC) and related bio-inspired techniques (e.g. particle swarm optimization) and in the form of Evolutionary Machine Learning approaches have been successfully applied to mitigate the problems that arise when training DGMs, leveraging the quality of the results to impressive levels. Among other approaches, these new solutions include LLM, GAN, VAE, AR, and SD training methods or fine tuning optimization based on evolutionary and coevolutionary algorithms, the combination of deep neuroevolution with training approaches, and the evolutionary exploration of latent space. The workshop on Enhancing Generative Machine Learning with Evolutionary Computation (EGML-EC) aims to act as a medium for debate, exchange of knowledge and experience, and encourage collaboration for researchers focused on DGMs and the EC community. Bringing these two communities together will be essential for making significant advances in this research area. Thus, this workshop provides a critical forum for disseminating the experience on the topic of enhancing generative modeling with EC, presenting new and ongoing research in the field, and to attract new interest from our community. .Topics of Interest -Particular topics of interest are (not exclusively): -Evolutionary prompt optimization for large language models -Evolutionary operators based on large language models -Evolutionary and co-evolutionary algorithms to train deep generative models -EC-based optimization of hyper-parameters for deep generative models -Neuroevolution applied to train deep generative architectures -Dynamic EC-based evolution of deep generative models training parameters -Evolutionary latent space exploration (e.g. LVEs) -Real-world applications of EC-based deep generative models solutions -Multi-criteria adversarial training of deep generative models -Evolutionary generative adversarial learning models -Software libraries and frameworks for deep generative models applying EC All accepted papers of this workshop will be included in the Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'24) Companion Volume. .Important Dates Submission opening: February 12, 2024 Submission deadline: April 12, 2024 Acceptance notification: May 3, 2024 Camera-ready and registration: May 10, 2024 Workshop date: TBC depending on GECCO program schedule (July 14 or 18, 2024) .Instructions for Authors We invite submissions of two types of paper: ? Regular papers (limit 8 pages) ? Short papers (limit 4 pages) Papers should present original work that meets the high-quality standards of GECCO. Each paper will be rigorously evaluated in a review process. Accepted papers appear in the ACM digital library as part of the Companion Proceedings of GECCO. Each paper accepted needs to have at least one author registered by the author registration deadline. Papers must be submitted via the online submission system https://ssl.linklings.net/conferences/gecco/. Please refer to https://gecco-2024.sigevo.org/Paper-Submission-Instructions for more detailed instructions. As a published ACM author, you and your co-authors are subject to all ACM Publications Policies (https://www.acm.org/publications/policies/toc), including ACM's new Publications Policy on Research Involving Human Participants and Subjects ( https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects ). Workshop Chairs ? Jamal Toutouh, Univ. of M?laga (ES) - MIT (USA), jamal at lcc.uma.es ? Una-May O?Reilly, MIT (USA), unamay at csail.mit.edu ? Jo?o Correia, University of Coimbra (PT), jncor at dei.uc.pt ? Penousal Machado, University of Coimbra (PT), machado at dei.uc.pt ? Erik Hemberg, MIT (USA), hembergerik at csail.mit.edu More information at: https://sites.google.com/view/egml-ec2024 Dear Colleague(s), Thus, below you will find the extended deadline call for papers for EGML-EC 2024 - The Third workshop on Enhancing Generative Machine Learning with Evolutionary Computation. Extended deadline: 12 April. https://sites.google.com/view/egml-ec2024 Feel free to distribute, and thank you for your time. Best regards, The Workshop Chairs Jamal Toutouh Una-May O?Reilly Jo?o Correia Penousal Machado Erik Hemberg ---------------------------------------------------------------------- CALL FOR PAPERS EGML-EC at GECCO-2024 3rd Workshop on Enhancing Generative Machine Learning with Evolutionary Computation https://sites.google.com/view/egml-ec2024 Genetic and Evolutionary Computation Conference (GECCO'24) Melbourne, Australia, July 14 to 18, 2024 .Overview and Scope Generative Machine Learning has become a key field in machine learning and deep learning. In recent years, this field of research has proposed many deep generative models (DGMs) that range from a broad family of methods such as large language models (LLMs), generative adversarial networks (GANs), variational autoencoders (VAEs), Transformers, autoregressive (AR) models and stable diffusion models (SD). Although these methods have achieved state-of-the-art results in the generation of synthetic data of different types, such as images, speech, text, molecules, video, etc., Deep generative models are still difficult to train, optimize, and fine tune. There are still open problems, such as the vanishing gradient and mode collapse in DGMs, which limit their performance. Although there are strategies to minimize the effect of those problems, they remain fundamentally unsolved. In recent years, evolutionary computation (EC) and related bio-inspired techniques (e.g. particle swarm optimization) and in the form of Evolutionary Machine Learning approaches have been successfully applied to mitigate the problems that arise when training DGMs, leveraging the quality of the results to impressive levels. Among other approaches, these new solutions include LLM, GAN, VAE, AR, and SD training methods or fine tuning optimization based on evolutionary and coevolutionary algorithms, the combination of deep neuroevolution with training approaches, and the evolutionary exploration of latent space. The workshop on Enhancing Generative Machine Learning with Evolutionary Computation (EGML-EC) aims to act as a medium for debate, exchange of knowledge and experience, and encourage collaboration for researchers focused on DGMs and the EC community. Bringing these two communities together will be essential for making significant advances in this research area. Thus, this workshop provides a critical forum for disseminating the experience on the topic of enhancing generative modeling with EC, presenting new and ongoing research in the field, and to attract new interest from our community. .Topics of Interest -Particular topics of interest are (not exclusively): -Evolutionary prompt optimization for large language models -Evolutionary operators based on large language models -Evolutionary and co-evolutionary algorithms to train deep generative models -EC-based optimization of hyper-parameters for deep generative models -Neuroevolution applied to train deep generative architectures -Dynamic EC-based evolution of deep generative models training parameters -Evolutionary latent space exploration (e.g. LVEs) -Real-world applications of EC-based deep generative models solutions -Multi-criteria adversarial training of deep generative models -Evolutionary generative adversarial learning models -Software libraries and frameworks for deep generative models applying EC All accepted papers of this workshop will be included in the Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'24) Companion Volume. .Important Dates Submission opening: February 12, 2024 Submission deadline: April 12, 2024 Acceptance notification: May 3, 2024 Camera-ready and registration: May 10, 2024 Workshop date: TBC depending on GECCO program schedule (July 14 or 18, 2024) .Instructions for Authors We invite submissions of two types of paper: ? Regular papers (limit 8 pages) ? Short papers (limit 4 pages) Papers should present original work that meets the high-quality standards of GECCO. Each paper will be rigorously evaluated in a review process. Accepted papers appear in the ACM digital library as part of the Companion Proceedings of GECCO. Each paper accepted needs to have at least one author registered by the author registration deadline. Papers must be submitted via the online submission system https://ssl.linklings.net/conferences/gecco/. Please refer to https://gecco-2024.sigevo.org/Paper-Submission-Instructions for more detailed instructions. As a published ACM author, you and your co-authors are subject to all ACM Publications Policies (https://www.acm.org/publications/policies/toc), including ACM's new Publications Policy on Research Involving Human Participants and Subjects ( https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects ). Workshop Chairs ? Jamal Toutouh, Univ. of M?laga (ES) - MIT (USA), jamal at lcc.uma.es ? Una-May O?Reilly, MIT (USA), unamay at csail.mit.edu ? Jo?o Correia, University of Coimbra (PT), jncor at dei.uc.pt ? Penousal Machado, University of Coimbra (PT), machado at dei.uc.pt ? Erik Hemberg, MIT (USA), hembergerik at csail.mit.edu More information at: https://sites.google.com/view/egml-ec2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From gaoyixing at jlu.edu.cn Tue Apr 9 08:53:28 2024 From: gaoyixing at jlu.edu.cn (gaoyixing at jlu.edu.cn) Date: Tue, 9 Apr 2024 20:53:28 +0800 (GMT+08:00) Subject: Connectionists: [meetings] [CfP] Call-for-Paper: CIS-RAM 2024, Hangzhou, China (Final Extended Deadline 15 April 2024) Message-ID: <5517f50b.252b7.18ec2ebaa69.Coremail.gaoyixing@jlu.edu.cn> 11th IEEE International Conference on Cybernetics and Intelligent Systems & Robotics, Automation and Mechatronics (CIS-RAM 2024) 8 ? 11 August 2024 | Hangzhou, China | https://www.cis-ram.org/2024/ ================================================================================================================================================= Important Dates (with FINAL extended deadlines): 15 April 2024: Conference Paper Submission (08 Mar 2024) 17 May 2024: Notification of Acceptance 24 May 2024: Final Camera-Ready Deadline Papers Submission: All papers must be written in English and submitted electronically in PDF format via PaperPlaza (https://ras.papercept.net/conferences/scripts/start.pl). Papers submitted to CIS-RAM 2024 will undergo a peer-review process. Publication: All papers accepted and presented at CIS-RAM 2024 will be published by IEEE and indexed by ISI Proceedings. For more details, please check https://www.cis-ram.org/2024/OnlinePaperSubmission.html Organized by: IEEE Singapore Section IEEE Robotics and Automation Society (RAS) Singapore Chapter IEEE Systems, Man & Cybernetics (SMC) Singapore Chapter IEEE Robotics and Automation Society (RAS) Nanjing Chapter Dear Friends and Colleagues, It is our great honor and pleasure to announce the 11th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and the 11th IEEE International Conference on Robotics, Automation and Mechatronics (RAM), which will be held from 08 to 11 Aug, 2024 in Hangzhou, China. The IEEE International Conferences on CIS & RAM have always been held together, to exploit the synergistic relationship between both areas. CIS-RAM was first held in Singapore in 2004, followed by Thailand in 2006, Chengdu (China) in 2008, Singapore in 2010, Qingdao (China) in 2011, Manila (Philippines) in 2013, Angkor Wat (Cambodia) in 2015, Ningbo (China) in 2017, Bangkok (Thailand) in 2019, and Penang (Malaysia) in 2023 . Programs and Topics on CIS Cybernetics Automation and Control, Cooperative Systems and Control, Computational Intelligence, Multi-Agent Systems, Supervisory Control, Hybrid Systems, Neural Networks, Deep Reinforcement Learning, Genetic Algorithms, Evolutionary Computation, Systems Modeling & Control, Optimization, Smart Sensor Networks, Blockchain Technologies, Networked Dynamical Systems, Discrete Event Systems, Swarm Intelligence, Soft Computing, Fuzzy Systems, Decision Support Systems, System of Systems, Big Data, Internet of Things, Image Processing, Environmental Systems, Systems Biology, Cyber-physical Systems, Human/Machine Systems, Transportation Systems, Manufacturing Systems, Smart City, Resource Management, Energy Efficiency, Artificial Intelligence Generated Content, Large Language Models, Natural Language Processing. Programs and Topics on RAM Robotics and Automation in Unstructured Environment, Personal and Service Robotics, Underwater Robotics, Medical Robots and Systems, Social Robotics, Robotics and Automation Applications, Sensor Design, Integration, and Fusion, Robot Vision, Deep Learning, Embodied AI, Human-Robot Interfaces, Haptics, Tele-robotics, Network Robotics, Micro/Nano, Distributed, Cellular, and Multi-robot Systems, Biologically-Inspired Robots and Systems, Intelligent Transportation Systems, Modeling, Planning and Control, Kinematics, Mechanics, and Mechanism Design, Legged Robots, Wheeled Mobile Robots, Aerial Robotics, Dynamics, Motion Control, Force/Impedance Control, Architecture and Programming, Methodologies for Robotics and Automation, Virtual Reality, Localization & Tracking, A Fleet of AGVs. All papers must be written in English and should describe original work. Submissions must be in PDF format via PaperPlaza. More details can be found at the conference website. For general conference information, please contact the General Chair and the Conference Secretary: cis-ram2024 at outlook.com Sincerely Yours, Han Wang, Rong Su, Bin Zhang, Ayse Kucukyilmaz & Yixing Gao Publicity Chairs, CIS-RAM 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From vladan at temple.edu Tue Apr 9 20:02:23 2024 From: vladan at temple.edu (Vladan Radosavljevic) Date: Wed, 10 Apr 2024 00:02:23 +0000 Subject: Connectionists: CfP - TSMO Workshop @ KDD 2024 Message-ID: Call for Workshop Papers TSMO 2024 Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth in conjunction with The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024) Barcelona, Spain, Sunday 25 August 2024 ? Thursday 29 August 2024 https://sites.google.com/view/tsmo2024 In recent years, two-sided marketplaces have emerged as viable business models in many real-world applications. In particular, we have moved from the social network paradigm to a network with two distinct types of participants representing the supply and demand of a specific good. Examples of industries include but are not limited to accommodation (Airbnb, Booking.com), video content (YouTube, Instagram, TikTok), ridesharing (Uber, Lyft), online shops (Etsy, Ebay, Facebook Marketplace), music (Spotify, Amazon), app stores (Apple App Store, Google App Store) or job sites (LinkedIn). The traditional research in most of these industries focused on satisfying the demand. OTAs would sell hotel accommodation, TV networks would broadcast their own content, or taxi companies would own their own vehicle fleet. In modern examples like Airbnb, YouTube, Instagram, or Uber, the platforms operate by outsourcing the service they provide to their users, whether they are hosts, content creators or drivers, and have to develop their models considering their needs and goals. The two-sided marketplaces are almost entirely data-driven. Machine learning powered methods and algorithms are essential in every aspect of two-sided marketplaces. This workshop aims to bring practitioners of two-sided marketplaces together and discuss the evolution of content ranking, recommendation systems, and data mining when solving for producers and consumers on these platforms. Additionally, the workshop will cover Generative AI applications in these platforms and how they are changing the ecosystem. The topics of this workshop include, but are not limited to, the following: * Search in two-sided marketplaces * Recommendation Systems in two-sided marketplaces * Generative AI applications in two-sided marketplaces * Retrieval-augmented generation (RAG) applications in two-sided marketplaces * Growth and Monetization for two-sided marketplaces * Marketing Strategies * Dynamic Pricing and Price Recommendations * Fraud and fake-content Detection * Privacy * Battle scars and lessons learned from deploying real-world systems Submission Instructions: Following the KDD conference, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. ? Submissions should not exceed 6 pages plus up to one additional page of references. The submission must be in PDF format, and formatted according to the Standard ACM Conference Proceedings Template (LaTeX template guideline, the recommended setting for Latex documents is: \documentclass[sigconf, review]{acmart}, Microsoft Word template guideline). Important Deadlines (anywhere on Earth): Submission : Tuesday May 28th, 2024 Decisions : Friday June 28th, 2024 Camera-ready : Monday July 11th, 2024 Workshop : Monday August 26th, 2024 Submission Website: https://easychair.org/conferences/?conf=tsmo2024 Co-organizers: Mihajlo Grbovic (Airbnb) Vladan Radosavljevic (Spotify) Minmin Chen (Google Deepmind) Katerina Iliakopoulou-Zanos (Meta) Thanasis Noulas (Bitvavo) Amit Goyal (Amazon Music) Fabrizio Silvestri (Sapienza University of Rome) For further questions please email the organizer's point of contact at mihajlo.grbovic at airbnb dot com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jarsalas at inf.ufrgs.br Tue Apr 9 20:31:14 2024 From: jarsalas at inf.ufrgs.br (Jaime Andres Riascos Salas) Date: Tue, 09 Apr 2024 19:31:14 -0500 Subject: Connectionists: [CFP] Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI) - ESANN 2024 - Deadline 02 May Message-ID: <2bcba5b3ebdce079742882452e6fde00@inf.ufrgs.br> CALL FOR PAPERS CFP ? SPECIAL SESSION MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI) Paper Submission Deadline: 2 MAY 2024? EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN 2024) OCTOBER 9-11, 2024 Bruges, Belgium. Online and on-site http://www.esann.org [1] Contact Special Session: jariascos at correo.iue.edu.co THE EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN) is a leading annual conference dedicated to cutting-edge research and applications within these fields. Since 1993, ESANN has provided a vital platform for researchers from academia, industry, and government to share their latest findings, foster interdisciplinary collaborations, and network with others in the field. The conference covers core topics like artificial neural networks, computational intelligence, and machine learning, and explores wide-ranging applications in areas such as bioinformatics, engineering, and finance. The 32nd edition of ESANN (ESANN 2024) will take place in Bruges, Belgium in hybrid mode (both in-person and online participation), from Wednesday 9 to Friday 11 October 2024. Bruges (also called the "Venice of the North") is one of the most beautiful medieval towns in Europe. Bruges is situated about 100 km. from Brussels and can very easily be reached by train from Brussels' main stations. Bruges is unique in Europe: a living city of human proportions where you can wander to your heart's content in virtually unspoiled surroundings. Inside ESANN 2024, the special session "MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI)? aims to spotlight and consolidate the latest advancements, innovations, challenges, and prospects in modern machine learning algorithms for BCI, which are both accurate and fast enough for real-time use, and ideally assessed for real-time use. BCIs are communication and control systems that enable users to interact with computers using brain activity only. They are very promising for various applications, such as assistive technologies, rehabilitation, or mental state monitoring, but suffer from a lack of robustness. Their robustness mostly relies on advances in machine learning and signal processing. Simple models offer a quick response to real-time constraints but often without high accuracies. In contrast, artificial neural networks and more elaborate models compromise speedy responses for reaching sometimes higher accuracies. Thus, ideally, there is a need for a trade-off in complexity in signal processing and machine learning stages to obtain the best combination, i.e., both high accuracy and speed. Therefore, we aim to foster interdisciplinary collaborations and pave the way for future breakthroughs in this field. We invite authors to submit original research articles, reviews, and case studies on the following topics: 1. Signal Processing and Feature Extraction: I. Novel methods for preprocessing EEG signals II. Feature extraction techniques for real-time BCI applications 2. Classification Algorithms: I. Advanced machine learning algorithms for BCI signal classification II. Deep learning approaches in BCI research 3. Real-time BCI Systems: I. Development of real-time BCI systems II. Applications and challenges in deploying BCI systems in real-time. Prospective authors are invited to contribute to the conference by electronically submitting papers through the ESANN portal following the instructions provided at https://www.esann.org/node/6 [2] and choosing our session's title as Target Session on the paper submission form. Papers must not exceed 6 pages, including figures and references. All papers will be submitted to a single-blind peer-review process. LaTeX and Word-style files are available. They must be used for generating the PDF file (see author guidelines at https://www.esann.org/author_guidelines [3]). Accepted papers will be presented as either talks or posters (in-person or online), to favor interaction with the ESANN attendees. There is no difference in quality between talks and posters; all papers will be published in the conference proceedings. At least one author must register for the conference and pay the registration fee. We ask prospective authors to send us an e-mail with the tentative title of their contribution to the special session as soon as possible. IMPORTANT DATES: Paper submission deadline: 2 MAY 2024 Notification of acceptance: 16 JUNE 2024 The ESANN 2023 conference: 9-11 OCTOBER 2024 SPECIAL SESSION ORGANISERS: Fabien Lotte (Inria, France) Marta Molinas (NTNU, Norway) Jaime A Riascos (Potsdam University - Institution University of Envigado, Germany - Colombia) Bests regards! Links: ------ [1] http://www.esann.org/ [2] https://www.esann.org/node/6 [3] https://www.esann.org/author_guidelines -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Apr 9 11:26:35 2024 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 9 Apr 2024 18:26:35 +0300 Subject: Connectionists: REMINDER: World wide VVTNS series: Wednesday, April 10 at 11am (EDT), Michael Buice, Allen Institute |Biologically motivated learning dynamics: parallel architectures and nonlinear Hebbian plasticity In-Reply-To: References: Message-ID: https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Michael Buice Allen Institute on the topic of "Biologically motivated learning dynamics: parallel architectures and nonlinear Hebbian plasticity*"* The lecture will be held on zoom on *April 10, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Learning in biological systems takes place in contexts and with dynamics not often accounted for by simple models. I will describe the learning dynamics of two model systems that incorporate either architectural or dynamic constraints from biological observations. In the first case, inspired by the observed mesoscopic structure of the mouse brain as revealed by the Allen Mouse Brain Connectivity Atlas, as well as multiple examples of parallel pathways in mammalian brains, I present a mathematical analysis of learning dynamics in networks that have parallel computational pathways driven by the same cost function. We use the approximation of deep linear networks with large hidden layer sizes to show that, as the depth of the parallel pathways increases, different features of the training set (defined by the singular values of the input-output correlation) will typically concentrate in one of the pathways. This result is derived analytically and demonstrated with numerical simulation with both linear and non-linear networks. Thus, rather than sharing stimulus and task features across multiple pathways, parallel network architectures learn to produce sharply diversified representations with specialized and specific pathways, a mechanism which may hold important consequences for codes in both biological and artificial systems. In the second case, I discuss learning dynamics in a generalization of Hebbian rules and show that these rules allow a neuron to learn tensor decompositions of higher-order input correlations. Unlike the case of the Oja rule and PCA, the resulting learned representation is not unique but selects amongst the tensor eigenvectors according to initial conditions. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? ? ? ? -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ? ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Wed Apr 10 05:47:34 2024 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Wed, 10 Apr 2024 11:47:34 +0200 Subject: Connectionists: CFP - HSI 2024 - Special Session "Advances in artificial intelligence and learning in Healthcare" Message-ID: We do apologize if this CfP reaches you more than once. -------------------------------------------- Call for papers ? Special session on "Advances in artificial intelligence and learning in Healthcare", in the 16th International Conference on Human System Interaction (HSI) 2024 ? July 8 -11, 2024. https://hsi2024.welcometohsi.org/ Deadline : *April 30, 2024* -------------------------------------------- Advances in artificial intelligence and learning in Healthcare Artificial Intelligence (AI), in particular Artificial Learning (AL), becomes a useful solution for many complex human-centred problems. In healthcare, various approaches based on AI/ML have been proposed as innovative solutions for several research problems in health data analysis related to detection, diagnosis, surveillance, prediction, decision-making, etc. The aim of this special session is to bring together researchers and scientists from academia and industry, as well as practitioners working in this field, to present and discuss their recent studies and developments. We welcome research contributions for the following (but not limited to) topics: * AI/AL for health informatics * AI/AL for digital health (health information, health services, telehealth, health online, digital healthcare, digital therapeutics, mobile health, ?) * AI/AL for biomedical and health-related data processing (segmentation, denoising, compression, classification, clustering, forecasting, ?) * AI/AL for biomedical signal analysis and processing (EEG, ECG, PPG, PCG, EMG, EOG, ?) * AI/AL for medical image analysis and processing (MRI, fMRI, DTI, PET, CT, SPECT, DOT, ?) * AI/AL-driven tools for problem-solving and decision-making in healthcare * AI/AL for diseases detection, diagnosis, and/or surveillance * AI/AL for epidemic tracking and forecasting * AI/AL in biomedical engineering * AI/AL in bioinformatics * AI/AL in brain-computer interfaces (BCI) * AI/AL in neurofeedback * AI/AL in neural rehabilitation engineering * Smart healthcare and related applications (IoT, IoMT, Big Data, Cloud/Edge/Fog computing, ?) *Organizers: * * Larbi Boubchir (LIASD ? University of Paris 8, France) * Boubaker Daachi (LIASD ? University of Paris 8, France) -------------- next part -------------- An HTML attachment was scrubbed... URL: From roman.bauer111 at gmail.com Wed Apr 10 06:16:46 2024 From: roman.bauer111 at gmail.com (roman bauer) Date: Wed, 10 Apr 2024 11:16:46 +0100 Subject: Connectionists: PhD position on computational modelling of neural network development Message-ID: Dear all, A fully funded PhD position in Computational Neuroscience is available at the University of Cyprus in collaboration with the University of Surrey (UK), titled ?Brain Neuronal Networks Development via Multiscale Agent-based Modelling?. More details are available here. The closing date for applications is May 31st, 2024. *Project summary* Here, we will demonstrate an innovative computational approach to model and emulate biological neural networks (NNs): rather than directly modelling a brain with all its complexity, we will model NN development from a single precursor cell. In other words, by leveraging the same approach that nature uses to build brains, we aim to reproduce challenging neural complexities. Inspired by the biological brain, we will make use of developmental rules that are encoded in a gene-type manner. For instance, a rule could be that a given neural stem cell should divide under certain conditions while they could migrate under others. Similarly, neural connections develop according to well-conserved mechanisms that are adaptive to individual neurons? activities and wiring patterns. To inform the computational modelling, we will make use of data from experimental studies as well as synthetic, simulated data. Well-established characteristics of biological NNs will be used to inform realistic NNs, both structurally as well as functionally. We will make use of innovative machine learning techniques to match the in-silico NNs with specific organisms. In the early stages, we will employ synthetically generated NNs as a test scenario, and iteratively increase biological correspondence. We will make use of the agent-based modelling software BioDynaMo ( www.biodynamo.org), an open-source software we have been actively developing for almost a decade. Notably, this project builds on previous work of the supervisory team, including for instance the simulation of a spatially embedded, functional, and biologically realistic neural network that self-organized from a single precursor cell (link). *Training* The studentship is highly interdisciplinary, because it is at the interface of computer science and neuroscience. Machine learning will constitute a core component of this studentship. This work will benefit from the prestigious BioDynaMo collaboration (www.biodynamo.org). Tight involvement with the collaboration will support the student in obtaining training in the usage of modern computational biology methodologies. Moreover, the student will benefit from weekly seminars and daily interactions with computational and experimental researchers, as well as the research groups of the supervisors (https://in-silico-modelling.ucy.ac.cy/ and www.combynelab.com). *Supervisory team* The project will be supervised by Dr Roman Bauer (r.bauer at surrey.ac.uk) and Prof. Vasileios Vavourakis (vavourakis.vasileios at ucy.ac.cy). Interested candidates are encouraged to contact either one of the supervisors in case of questions. Best regards, Roman *Roman Bauer, Ph.D.Senior LecturerBioDynaMo SpokespersonComputer Science Research CentreUniversity of SurreyGuildford, UK* -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Wed Apr 10 11:25:32 2024 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Wed, 10 Apr 2024 17:25:32 +0200 Subject: Connectionists: Neural-Symbolic Learning and Reasoning 2024: Less than two weeks to full-paper abstract submission! Message-ID: 18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy 2024) ===== TL;DR ===== Dates: September 9-12, 2024 Location: Barcelona, Catalonia, Spain Website: https://sites.google.com/view/nesy2024 Full paper abstract submission (extended): April 21, 2024 Full paper manuscript submission (extended): April 26, 2024 Late/short paper submission (extended): May 12, 2024 ===== NeSy 2024 ===== Following the almost 20 years of success of NeSy, the series of International Workshops on Neural-Symbolic Learning and Reasoning (http://www.neural-symbolic.org), in 2024 NeSy will return as the 18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy 2024), held in Barcelona (Catalonia, Spain) from September 9-12, 2024. NeSy continues to be the premier annual meeting point of the research community working on neurosymbolic integration, combining symbolic and subsymbolic approaches to learning and reasoning in AI systems. In 2024, NeSy hosts special tracks on Explainable AI and Generative AI. See the conference website (https://sites.google.com/view/nesy2024) for details. ===== Relevant Dates ===== Full paper abstract deadline: April 21, 2024 Full paper submission: April 26, 2024 Author notification: June 7, 2024 Camera-ready papers: June 21, 2024 Late/short paper submission: May 12, 2024 Author notifications: June 14, 2024 Camera-ready papers: June 21, 2024 ===== Proceedings ===== The proceedings of NeSy 2024 will be published by Springer LNCS. See the conference website (https://sites.google.com/view/nesy2024) for detailed formatting and submission instructions. ===== Organizing Committee ===== General/Local Chair: + Tarek R. Besold (Sony AI, Barcelona) Program Chairs: + Ernesto Jimenez Ruiz (City, University of London) + Artur d'Avila Garcez (City, University of London) + Tarek R. Besold (Sony AI, Barcelona) Explainable AI Special Track Chairs: + Benedikt Wagner (City, University of London) + Roberto Confalonieri (University of Padova) Generative AI Special Track Chair: + Pranava Madhyastha (City, University of London) From yj.choi at asu.edu Wed Apr 10 18:42:39 2024 From: yj.choi at asu.edu (YooJung Choi) Date: Wed, 10 Apr 2024 15:42:39 -0700 Subject: Connectionists: [CFP] TPM @ UAI 2024: The 7th Workshop on Tractable Probabilistic Modeling Message-ID: ****The 7th Workshop on Tractable Probabilistic Modeling (TPM): Models We Trust****** https://tractable-probabilistic-modeling.github.io/tpm2024/ For AI and ML systems aimed to assist decision-making in real-world scenarios, it is crucial to perform complex reasoning under uncertainty reliably and efficiently. However, contemporary machine learning is often criticized as being sensitive to data-perturbations, lacking guarantees on their predictions, and having little or no causal and symbolic reasoning capabilities. Further underpinning the relevance of these challenges, various regulatory bodies have released statements and frameworks aimed at building trustworthy AI. The field of tractable probabilistic models (TPMs) is a very appealing approach for many of these challenges, as TPMs enable reliable (exact or coming with approximation guarantees) and efficient reasoning for a wide range of tasks, by design. The spectrum of TPMs consists of a wide variety of techniques including models with tractable likelihoods (e.g., normalizing flow and autoregressive models), tractable marginals (e.g., bounded-treewidth models and determinantal point processes), and more complex tractable reasoning tasks (e.g., circuits) and is dynamically evolving. This year?s workshop on Tractable Probabilistic Modeling aims to highlight the connection between trustworthy artificial intelligence (in a broad sense) and tractable reasoning. The workshop aims to highlight recent advancements in the field of TPMs and their potential impact in settings of trustworthy AI (e.g. fairness, robustness, causality, neuro-symbolic AI). The workshop will be held *in person *on July 19th, 2024, co-located with UAI 2024 at the Universitat Pompeu Fabra, Barcelona, Spain. *Important Dates* - *Submission deadline: *May 20th, 2024 AoE - *Author Notification (tentative): *June 18th, 2024 AoE - *Workshop date: *July 19th, 2024 *Topics of interest* Prospective authors are invited to submit *novel research, retrospective papers, *or *recently accepted papers *on relevant topics including, but not limited to: - New tractable representations in logical, continuous, and hybrid domains - Learning algorithms for TPMs - Theoretical and empirical analysis of TPMs - Connections between TPM classes - TPMs for responsible, robust, and explainable AI - TPMs for trustworthy ML - Approximate inference algorithms with guarantees - Successful applications of TPMs to real-world problems *Submission Instructions* Original papers and retrospective papers are required to follow the style guidelines of UAI and should use the adjusted template TPM format . Submitted papers should be up to 4 pages long, excluding references. Already accepted papers can be submitted in the format of the venue they have been accepted to. Supplementary material can be put in the same pdf paper (after references); it is entirely up to the reviewers to decide whether they wish to consult this additional material. All submissions must be electronic (through the link below), and must closely follow the formatting guidelines in the templates, otherwise, they will automatically be rejected. Reviewing for TPM is single-blind; i.e., reviewers will know the authors? identity but authors won?t know the reviewers? identity. However, we recommend that you refer to your prior work in the third person wherever possible. We also encourage links to public repositories such as GitHub to share code and/or data. For any questions, please contact us at: tpmworkshop2024 at gmail.com Submission Link: https://openreview.net/group?id=auai.org/UAI/2024/Workshop/TPM *Organizers* YooJung Choi (Arizona State University) Martin Trapp (Aalto University) Fabrizio Ventola (TU Darmstadt) Benjie Wang (UCLA) ****Please consider sharing this CFP in your network**** -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Wed Apr 10 12:29:22 2024 From: dhansel0 at gmail.com (David Hansel) Date: Wed, 10 Apr 2024 19:29:22 +0300 Subject: Connectionists: New on the van Vreeswijk Theoretical Neuroscience Seminar (VVNTS) website and YouTube channel In-Reply-To: References: Message-ID: [image: VVTNS.png] > > > https://www.wwtns.online > > - on twitter: wwtns at TheoreticalWide > New on the VVTNS website and YouTube channel Biologically motivated learning dynamics: parallel architectures and nonlinear Hebbian plasticity talk given on April 10, 2024 by Michael Buice Allen Institute https://www.wwtns.online/past-seminars-2023-2024 ------------------------------------ *VVTNS: VVTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From emergingtechnetwork.publicity at gmail.com Wed Apr 10 23:08:03 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Thu, 11 Apr 2024 06:08:03 +0300 Subject: Connectionists: =?utf-8?q?ICSC_CFP_=28Co-Sponsored_by_IEEE=29=3A_?= =?utf-8?q?The_Fourth_Intelligent_Cybersecurity_Conference=2C_17?= =?utf-8?q?=E2=80=9320_September=2C_2024_=7C_Valencia=2C_Spain=2E?= Message-ID: [Apologies if you got multiple copies of this invitation] The Fourth Intelligent Cybersecurity Conference (ICSC2024) https://www.icsc-conference.org/2024/ 17?20 September, 2024 | Valencia, Spain. Technically Co-Sponsored by IEEE Spain Section *ICSC 2024 CFP:* In today?s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others. The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to: - Intelligent systems for effective detection of cyber-attacks - Advanced Intelligent systems and data analytics for Cloud/Edge systems security - Malware detection using intelligent systems Vulnerability assessment - Intelligent systems for intrusion detection in Internet of Things (IoT) systems - Network forensics using intelligent systems and data analytics - Data Analytics for privacy-by-design in smart health - Datasets, benchmarks, and open-source packages - Recourse efficient deep learning - Adversarial Machine learning and Backdoor Attacks - Blockchain Systems for Cyber Security - Trustworthy AI Systems - Intelligent Systems for Misinformation Detection *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates:* - Paper submission deadline: May 15, 2024 - Notification of acceptance: July 25, 2024 - Camera-ready Submission: August 5, 2024 *Contact:* Please send any inquiry on ICSC to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From isclab.uu at gmail.com Wed Apr 10 16:55:35 2024 From: isclab.uu at gmail.com (ISCL UU) Date: Wed, 10 Apr 2024 22:55:35 +0200 Subject: Connectionists: Ad: PostDoc in Deep Learning with a focus on Vision-Language Models at Uppsala University Message-ID: <9DA6D276-A8B4-48E1-9BCE-CE3F114D15C5@gmail.com> Are you interested in working with language models and computer vision, with the support of competent and friendly colleagues in an international environment? A postdoctoral researcher position in Deep Learning with a focus on Vision-Language Models is available at Uppsala University, Sweden. Project description Vision-language models integrate computer vision and natural language processing techniques to process and generate information that combines both visual and textual modalities, enabling a more profound understanding of the content within images and videos. While vision-language models exhibit promising potential, they are currently in early stages of development. Effective integration of both modalities (vision and language), and aligning visual and text embeddings into a cohesive embedding space, continues to pose significant challenges. In this project, the successful candidate will conduct basic research and methods development towards designing efficient vision-language models and exploring their applications in computer vision. We are looking for a candidate with a deep learning background and an interest in working on the subject of vision-language modeling. The application areas of interest will be decided in a dialogue between the candidate and the supervisor, taking into account the candidate's interests and research proposal. Technical keywords for the position include: deep learning, image analysis, representation learning and language modeling. The position might also include teaching up to 20% depending on availability and interest. The selected candidate will work in the Department of Information Technology, Division of Systems and Control, in Ekta Vats?s group , in collaboration with Professor David Sumpter and the Beijer Laboratory for Artificial Intelligence Research . Requirements PhD degree in machine learning, deep learning, computer vision or another nearby and relevant field. The degree needs to be obtained by the time of the decision of employment. The applicant must have a strong background in method development and the use of machine learning. The ability to make use of deep learning is required. Publications at leading conferences in machine learning and computer vision is a strong plus. Good oral and written proficiency in English. Project description and application link: here . Please apply by 14th May 2024. Contact Asst. Prof. Ekta Vats with any questions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From filippombianchi at gmail.com Thu Apr 11 04:02:10 2024 From: filippombianchi at gmail.com (filippo bianchi) Date: Thu, 11 Apr 2024 10:02:10 +0200 Subject: Connectionists: PhD and postdoc positions in machine learning for graph and temporal data Message-ID: I?m looking for passionate PhD and Postdoc candidates interested in doing research on machine learning for graph and temporal data. More information about the research topics are here: https://en.uit.no/project/relay. The positions are at the Department of Mathematics and Statistics at UiT the Arctic University, Troms?, Norway. We offer a very competitive salary and excellent working conditions. For more information and how to apply see the links below: PhD: https://www.jobbnorge.no/en/available-jobs/job/260172/phd-fellow-in-machine-learning-for-graphs-and-time-series-data Postdoc: https://www.jobbnorge.no/en/available-jobs/job/260143/postdoctoral-research-fellow-in-machine-learning-for-graphs-and-time-series-data *Application deadline: 02 May 2024* -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabian.braesemann at oii.ox.ac.uk Thu Apr 11 05:56:02 2024 From: fabian.braesemann at oii.ox.ac.uk (Fabian Braesemann) Date: Thu, 11 Apr 2024 09:56:02 +0000 Subject: Connectionists: CFP COMPLEX NETWORKS 2024 Istanbul Turkey December 10 - 12, 2024 Message-ID: <4E317F93-D748-4493-BC87-A92C64E3A23A@oii.ox.ac.uk> CFP COMPLEX NETWORKS 2024 Istanbul Turkey December 10 - 12, 2024 13 th International Conference on Complex Networks & Their Applications Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 You are cordially invited to submit your contribution until September 03, 2024. SPEAKERS (TBC) ? Federico Battiston Central European University, Austria ? Tina Eliassi-Rad Northeastern University, USA ? Frank Emmert-Streib Tampere University, Finland ? Filippo Menczer Indiana University, USA ? Luciano Pietronero University of Rome, Italy TUTORIALS (December 09, 2024) ? Alessandro Galeazzi University of Padova, Italy ? Clara Stegehuis Twente University, The Netherlands PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? Papers will be included in the conference proceedings edited by Springer ? Extended abstracts will be published in the Book of Abstracts (with ISBN) Extended versions will be invited for publication in special issues of international journals: o PLOS Complex Systems edited by PLOS. o PLOS One edited by PLOS o Applied Network Science edited by Springer Nature o Social Network Analysis and Mining edited by Springer Nature o Entropy edited by MDPI o Advances in Complex Systems edited by World Scientific o Complex Systems Journal SUBMISSION: https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/ TOPICS Topics include, but are not limited to: o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) PROGRAM CHAIRS Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey) --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute University of Oxford Publicity Co-Chair 13th International Conference on Complex Networks & Their Applications 28 - 30 November, 2023, French Riviera, France 10 - 12 December, 2024, Istanbul, Turkey fabian.braesemann at oii.ox.ac.uk +44 7731 700 704 Google Scholar | LinkedIn Oxford Internet Institute University of Oxford 1 St Giles Oxford, OX1 3JS -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.crimi at sanoscience.org Thu Apr 11 06:19:46 2024 From: a.crimi at sanoscience.org (Alex Crimi) Date: Thu, 11 Apr 2024 10:19:46 +0000 Subject: Connectionists: follow-up study with low-field MRI Message-ID: Dear all, we just published a work about graph analysis on brain tumor predicting the connectome after brainsurgery given a pre-surgery scan: Falco-Roget et al. Nature Communication Bio https://www.nature.com/articles/s42003-024-06119-3 It will be great if one of you cool people working with portable low-field MRI (e.g. Hyperfine) will be interested in a follow up. E.g. if you have data of pre- post- surgery all low-field. Or similar data from low-income countries (e.g. Sub-Saharan Africa). feel free to contact us for collaboration or joint grant. Best, Alex ---------------------------------------------------------------------------------------------- Things learnt while dealing with pregnant women, startups and goats: https://www.amazon.com/dp/178133840X [cid:f9840bd3-435d-4f25-97b5-d6e7bd2ebc4d] Dr. Alessandro Crimi Research Group Leader https://bam.sano.science [cid:8f07a0e1-8523-4a2d-a595-eb06ad2a8ccc] Centre for Computational Medicine Czarnowiejska 36, building C5. 30-072 Krak?w, Poland Phone: +48 575 455 016 www.sano.science -----------------------------------------------v https://twitter.com/Dr_Alex_Crimi -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-khyext0a.jpg Type: image/jpeg Size: 92548 bytes Desc: Outlook-khyext0a.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-yd22pf3r.png Type: image/png Size: 12229 bytes Desc: Outlook-yd22pf3r.png URL: From ubjta99 at mail.bbk.ac.uk Thu Apr 11 07:17:21 2024 From: ubjta99 at mail.bbk.ac.uk (Denis Mareschal) Date: Thu, 11 Apr 2024 12:17:21 +0100 Subject: Connectionists: Tenure track position in London Message-ID: The School fo P{sychological Science, Birkbeck University of London is seeking 2 open ended Lecturers (tenure track Assistant Professors). *We are particularly interested in applicants with experience of computational modelling and psychological processes *(e.g., Cognitive Science or Computational Cognitive Neuroscience). The department has consistently been ranked within the top 10 research intensive institutions in the UK. Details of the department can be found here: https://www.bbk.ac.uk/school/psychological-sciences We are looking for someone an emerging research track record in all areas of cognitive neuroscience (especially with practical experience of neuroimaging and fMRI) and/or cognitive science (including experimental cognitive psychology and computational modelling), and whose research interests link broadly with our existing research themes. This is your chance to be part of a world-class research intensive department situated in the heart of London's historic Bloomsbury area. *Our research focuses on four themes: Perception, Attention, Action and Emotion; Cognitive Computational Modelling; Brain and Cognitive Development; and Health and Lived Experience.* Within these themes, research is supported through dedicated research centres (e.g., Birkbeck/UCL Centre for Neuroimaging BUCNI; Centre for Cognition, Computation and Modelling, Centre for Brain and Cognitive Development), research groups and labs. As a member of our Faculty, you will have access to cutting-edge facilities. This includes the recently launched ?8.5 million Wohl-Wolfson Toddler lab, complementing our existing Babylab. Additionally, we offer 3T and 1.5T MRI scanners at the Birkbeck-UCL Centre for Neuroimaging (BUCNI). Our resources also include a range of advanced equipment and laboratories, such as fNIRS, eye-tracking, Virtual Reality, multiple EEG systems, genetics, behavioural and Interpretative Phenomenological Analysis (IPA) research facilities. Further details cna application processes can be found here: https://cis7.bbk.ac.uk/vacancy/lecturer-in-psychology-x2-554898.html If you would like to know more about the role, please contact Professor Elisa Raffaella Ferre, Head of School of Psychological Sciences, at elisa.ferre at bbk.ac.uk. *We welcome applicants from all sections of the community. The College is committed to improving the gender and cultural diversity of its workforce, holding an Athena SWAN award and operating Disability Confident & Mindful Employer schemes.* ================================== Professor Denis Mareschal Director, Centre for Brain and Cognitive Development Deputy Head of Department, School of Psychological Sciences Birkbeck College University of London Malet St., London WC1E 7HX, UK tel +44 (0)20 7079-0751/7631-6582 reception: 7631-6207 fax +44 (0)20 7631-6312 http://cbcd.bbk.ac.uk/people/scientificstaff/denis-mareschal Educational Neuroscience Book http://www.bbk.ac.uk/psychology/e/xp/122/1/1/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Thu Apr 11 10:03:19 2024 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Thu, 11 Apr 2024 16:03:19 +0200 Subject: Connectionists: Call for Papers & Participation 2nd International Meeting on Foundation Models - IMFM 2024 co-located event at the 10th International Conference on Learning, Optimization & Data - LOD 2024 In-Reply-To: References: Message-ID: Call for Papers & Participation * 2nd International Meeting on Foundation Models - IMFM 2024 * *co-located event at the 10th International Conference on Learning, Optimization & Data - LOD 2024* Call for Papers & Participation 22-25 September 2024 Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy *Submission Deadline: April 23* https://lod2024.icas.events/imfm2024/ We invite abstracts and papers on a broad range of subject areas focused on Foundation Models. It follows a non-exhaustive list of topics of interests: *Language* ? Large Language Models. *Vision* ? Large Vision Models. *Math* Foundation Models, *Code* Foundation Models. *Multimodal Foundation Models (Vision and Language*, *Beyond Vision and Language) * *Alignment* (in-context alignment & reinforcement learning). *Applications of FMs* (biology, chemistry, drug science, engineering, medicine, material science, physics, ?). *Assessment of FMs* (benchmarks, evaluation protocols, human/machine evaluation, metrics, scalable oversight, simulation environments). *Data** for FMs *(alignment data, curation data, generation data, pre-training data, synthetic data). *Efficiency and Robustness of FMs (*compression, distillation, memory efficient methods, quantization, robustness, sample efficient methods, sensitivity analysis*).* *Embodiment and FMs *(action, multimodality, perception & robotics). *Engineering aspects for FMs* (distributed training, FM-driven software engineering, integration with tools and APIs, optimization instability, training dynamics). *Interactions with FMs (*conversation, interactive learning & multi-agents learning, factuality, retrieval-augmented *FMs*, knowledge models, common-sense reasoning, theory of mind, social norms, and world models*).* *Learning for FMs (*learning, *un*learning, meta learning, multi-task learning, model mixing methods, lifelong learning*, *decoding algorithms, reasoning algorithms, search algorithms, planning algorithms*).* *Personalizing* FMs. *Safety, Security and Privacy for FMs *(adversarial attacks, defences, and misinformation). *Theory** of FMs* (computational time complexity, computational space complexity, phase transitions, scaling laws, fundamental limitations, emergent capabilities, demystification, interpretability, training dynamics, grokking, learning theory for Foundation Models). *Tuning of FMs* (fine-tuning, instruction-tuning, prompt tuning). *LOD 2024 / IMFM 2024 Keynote Speakers:* *Vivek Natarajan*, Google Health AI, San Francisco Bay Area, CA, USA ?*How LLMs might accelerate biomedical discovery and help scale world class healthcare to everyone*? *Michal Valko*, Google DeepMind Paris, INRIA & ?cole Normale Sup?rieure Paris-Saclay, France ?*Fine Tuning Large Language Models & Gemini*? *Sven Giesselbach*, Fraunhofer Institute ? IAIS, Germany Title TBA *Important Dates: * paper submission deadline: Tuesday April 23, 2024 (AoE) paper acceptance decision to authors: by Thursday May 23, 2024 Camera Ready Submission Deadline: by Sunday June 23, 2024 All papers must be submitted using EasyChair (please select the track: ?*2nd International Meeting on Foundation Models*? short name: ?*2nd IMFM2024*?). https://easychair.org/conferences/?conf=lod2024 All accepted papers will be published in a volume of the series on Lecture Notes in Computer Science (LNCS) from Springer ? Nature after the conference (Conference Post-Proceedings). The call for papers (CfP) for the LOD 2024 event on ?Foundation Models? is the same CfP used for the entire LOD 2024 conference. Organizers and Chairs: Giuseppe Nicosia, University of Catania, Italy Sven Giesselbach, Fraunhofer Institute ? IAIS, Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From xavier.hinaut at inria.fr Thu Apr 11 13:14:36 2024 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Thu, 11 Apr 2024 19:14:36 +0200 Subject: Connectionists: PhD Opportunity in AI and Neuroscience, Bordeaux, Deadline: April 23rd Message-ID: <32EF00F6-6C9C-4625-8347-49F55520CB12@inria.fr> We are offering a PhD topic that bridges large language models with neuroscience. **Deadline for application: no later than April 23rd** Location: Bordeaux NeuroCampus (France) Laboratories: Inria & Neurological Diseases Insitute This project aims to explore the adaptation of large language models (LLMs), such as ChatGPT, to study their potential in understanding human language and identifying associated pathologies. By focusing on advanced neurocomputational models and the use of functional MRI, this work aims to decipher linguistic representations and their individual variations, particularly in pathological contexts such as dyslexia. We are seeking a candidate with an interdisciplinary research mindset, combining a strong interest in cognitive neuroscience with a solid proficiency in machine learning. The candidate should have a good command of Python scientific libraries (numpy/scipy) and be comfortable with mathematical/statistical concepts, in addition to proficiency in technical English. The project will take place in a dynamic and collaborative research environment linked to the Inria Exploratory Action project "BrainGPT", with access to imaging methods such as MRI and intensive computing clusters. The expected results have the potential to transform our understanding of the neural bases of language and open new avenues for personalized education and language pathology treatment. Applications must be submitted as soon as possible and no later than *April 23rd*, with the thesis expected to begin on October 1st, 2024. To apply, please send your CV, a cover letter, your academic transcripts since high school, and letters of recommendation to these two email addresses: gael.jobard at u-bordeaux.fr & xavier.hinaut at inria.fr For more information (please disregard the deadline mentioned in the link): https://adum.fr/as/ed/voirproposition.pl?matricule_prop=55386 or informally via email: gael.jobard at u-bordeaux.fr & xavier.hinaut at inria.fr Best regards, Xavier Hinaut Inria Research Scientist ? www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en ? Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy From jojaram6 at gmail.com Thu Apr 11 11:21:04 2024 From: jojaram6 at gmail.com (Jorge Jaramillo) Date: Thu, 11 Apr 2024 10:21:04 -0500 Subject: Connectionists: Postdoc position available at UChicago Message-ID: Dear Connectionists, https://neuroscience.uchicago.edu/postdoctoral-fellow-computational-neuroscience We are looking for an outstanding applicant to develop large-scale circuit models for decision making within a collaborative consortium that includes the Allen Institute for Neural Dynamics, New York University, and the University of Chicago. This ambitious NIH-funded project requires the creativity and expertise to integrate multimodal data sets (e.g., connectivity, large-scale neural recordings, behavior) into a comprehensive modeling framework. The successful applicant will join Jorge Jaramillo?s Distributed Neural Dynamics and Control Lab at the Grossman Center at the University of Chicago. The Grossman Center Core Faculty | Neuroscience Institute Throughout the course of the postdoctoral training, there will be opportunities to visit the other sites in Seattle (Karel Svoboda) and New York (Adam Carter, Xiao-Jing Wang) for additional training and collaboration opportunities. Appointees will join as Grossman Center Postdoctoral Fellows at the University of Chicago and will have access to state-of-the-art facilities and additional opportunities for collaboration with exceptional experimental labs within the Department of Neurobiology, as well as other labs from the departments of Physics, Computer Sciences, and Statistics. The Grossman Center offers competitive postdoctoral salaries in the vibrant and international city of Chicago, and a rich intellectual environment that includes the Argonne National Laboratory and the Data Science Institute. Postdoctoral fellows will also have the possibility to work in additional projects with other Grossman Center faculty members. Application: Please send your application before May 1st 2024 as a single PDF file including: i) a CV with publications highlighted; ii) a motivation letter specifying how you can contribute to large-scale circuit modeling and data analysis based on current and previous work; iii) the contact details of two academic references to jorgejaramillo at uchicago.edu. A doctoral degree and sufficient computational background is required; informal enquiries are welcome. Starting date: The position is available immediately, starting date can be defined via mutual agreement. The University of Chicago is committed to sustaining a diverse, equitable and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status. Underrepresented minorities are strongly encouraged to apply. -------------- next part -------------- An HTML attachment was scrubbed... URL: From laura.moranf at udc.es Thu Apr 11 12:43:18 2024 From: laura.moranf at udc.es (=?Windows-1252?Q?Laura_Mor=E1n_Fern=E1ndez?=) Date: Thu, 11 Apr 2024 16:43:18 +0000 Subject: Connectionists: Call for papers: Workshop on "Green Algorithms: Shaping a Sustainable World with AI Innovation" at ICMLA 2024 Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: Workshop on "Green Algorithms: Shaping a Sustainable World with AI Innovation" at ICMLA 2024 This workshop will be part of the program of the ?23rd International Conference on Machine Learning and Applications?, which will be held in Miami, Florida, USA, December 18 - 20, 2024. Green Algorithms: Shaping a Sustainable World with AI Innovation Organized by: Ver?nica Bol?n-Canedo, Laura Mor?n-Fern?ndez, Brais Cancela, and Amparo Alonso-Betanzos (CITIC - University of A Coru?a, Spain) Green algorithms are typically characterized as algorithms capable of optimizing energy efficiency and minimizing the environmental footprint of AI models. These algorithms aim to facilitate the utilization of technology in addressing diverse environmental challenges. This categorization encompasses two distinct types of algorithms: * Green by AI: AI algorithms that enhance environmental sustainability by optimizing energy use, conserving ecosystems, and improving renewable energy's efficiency. * Green in AI: Energy-efficient AI algorithms, aiming to reduce the environmental impact of its operations through innovative approaches and hardware advancements. In this workshop, we invite papers on both practical and theoretical issues about developing new artificial intelligence algorithms that are sustainable and green, as well as review papers with the state-of-art techniques and the open challenges encountered in this field. In particular, topics of interest include, but are not limited to: * Developing energy-efficient algorithms for training and/or inference. * Investigating AI approaches for sustainable data management and storage techniques. * Exploring the use of renewable energy sources for artificial intelligence. * Examining the ethical and social implications of green algorithms and artificial intelligence. * Investigating methods for reducing the carbon footprint of artificial intelligence algorithms. * Studying the impact of green algorithms on various industries and applications. * Applications of artificial intelligence to achieve sustainability and combat climate change. * Explainable AI in green algorithms and applications to enhance transparency and accountability. * Tools and frameworks for computational consumption of algorithms Key Dates: https://www.icmla-conference.org/icmla24/keydates.html Submission Guidelines: https://www.icmla-conference.org/icmla24/howtosubmit.html Prospected authors need to indicate as ?Submission Type? the workshop title. - Laura Mor?n Fern?ndez, PhD Laboratorio de I+D en Inteligencia Artificial CITIC - Universidade da Coru?a -------------- next part -------------- An HTML attachment was scrubbed... URL: From dorien.herremans at gmail.com Fri Apr 12 00:20:56 2024 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Fri, 12 Apr 2024 12:20:56 +0800 Subject: Connectionists: Music captioning listening test Message-ID: Dear community, You have all noticed the revolution in deep learning for music audio, through systems like Mustango. We are working on a large scale captioned MIDI dataset, to enable text-to-midi systems, and need some human listeners to help assess the quality of our captioning model. If you have time to rate 10-20 song captions, please click: https://www.psytoolkit.org/c/3.4.0/survey?s=jqrvB Thank you for your valuable contribution! Best regards, Dorien -- Dorien Herremans, PhD Associate Professor, ISTD & DAI Director, SUTD Game Lab Lead, AMAAI (Audio, Music and AI Lab) http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 2.401-33 -------------- next part -------------- An HTML attachment was scrubbed... URL: From gadia at di.unimi.it Fri Apr 12 03:29:55 2024 From: gadia at di.unimi.it (Davide Gadia) Date: Fri, 12 Apr 2024 09:29:55 +0200 Subject: Connectionists: [IEEE CoG 2024] Second Call for Auxiliary Papers - Competitions and Workshops announcement Message-ID: IEEE CoG 2024: The 2024 IEEE Conference on Games August 5-8, 2024 Milan, Italy https://2024.ieee-cog.org/ Call for Auxiliary Papers - Competitions and Workshops announcement Submission Deadline of *auxiliary* papers: April 28, 2024 The annual IEEE Conference on Games (IEEE CoG) aims to be a leading venue for researchers and practitioners to exchange ideas and novel approaches to bring innovation in and through games. Games are a great domain to study and develop novel ideas in design, artificial intelligence, human-computer interaction, psychology, education, sociology, and creativity, as well as their applications in real-world problems. IEEE CoG 2024 will take place at Politecnico di Milano, which is located in Milan, Italy. We invite the submission of *short* and *demo* papers related to all game aspects (for more info visit https://2024.ieee-cog.org/call-proposals/#cfp). *Short* papers (2-4 pages) describe work in progress, smaller projects that are not yet ready to be published as a full paper, or new progress on projects that have been reported elsewhere. *Demo* papers (2 pages) describe works to be presented during a demo session. All page limits include references and appendices. Finally, don't miss the opportunity to engage further with CoG 2024 through our *Workshops* and *Competitions*. *** Important Dates *** Auxiliary papers submission: April 28, 2024 Auxiliary papers acceptance notification: May 28, 2024 Papers camera ready: June 7, 2024 Early bird and (author) registration: June 7, 2024 All deadlines are Anytime on Earth (AoE). *** Submission Instructions *** Papers must be submitted through the conference submission system available at the following link: https://cmt3.research.microsoft.com/CoG2024 All paper submissions should follow the recommended IEEE conference author guidelines. MS Word and LaTeX templates can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html All submitted papers will be fully peer-reviewed, and accepted papers will be published in the conference proceedings and on IEEE Xplore. CoG will use a *double-blind review process*. Authors must omit their names and affiliations from their submissions, avoiding obvious identifying statements. Submissions not abiding by anonymity requirements will be desk rejected. Short papers might be allocated to either poster presentations or short oral presentations if time and space permit. Demo papers will be allocated to a demo session. *** Competitions at CoG 2024 *** IEEE CoG 2024 will have a rich program of competitions. Please visit https://2024.ieee-cog.org/competitions/ for a detailed list and description. *** Workshops at CoG 2024 *** Two workshops will be held during IEEE CoG 2024: - Computer Vision and Games, which aims to bridge the existing gaps between computer vision research and games engineering. - Human-AI Interaction through Play, which will explore the questions around human-AI cooperation through play. Please visit https://2024.ieee-cog.org/workshops/ for more details. ----------------------------------------------------------- We look forward to having you join us at CoG 2024 in Milan. Best regards, The Organizing Committee of IEEE CoG 2024 From michel.verleysen at uclouvain.be Fri Apr 12 03:42:06 2024 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Fri, 12 Apr 2024 07:42:06 +0000 Subject: Connectionists: ESANN 2024 - 2nd call for papers Message-ID: ESANN 2024 - 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) and online, 9-10-11 October 2024 https://www.esann.org Call for papers The call for papers is available at https://www.esann.org. Deadline for submissions: May 2, 2024. The ESANN conferences cover machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. In addition to regular sessions, 7 special sessions will be organized on the following topics: * Informed Machine Learning for Complex Data * Continual Improvement of Deep Neural Networks in The Age of Big Data * Machine learning in distributed, federated and non-stationary environments * Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI) * Domain Knowledge Integration in Machine Learning Systems * Trust in Artificial Intelligence: Beyond Interpretability * Aeronautic data analysis ESANN 2024 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. The conference will be organized in hybrid mode. In-person participation is preferred, however online participation is possible for those who prefer not to travel. The physical conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open-air museum. We hope to receive your submission to ESANN 2024 and to see you in Bruges or online! ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandra.sciutti at gmail.com Fri Apr 12 05:21:27 2024 From: alessandra.sciutti at gmail.com (alessandra.sciutti at gmail.com) Date: Fri, 12 Apr 2024 11:21:27 +0200 Subject: Connectionists: Call for Submissions to the 8th Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR) at RO-MAN 2024 In-Reply-To: References: Message-ID: <003201da8cba$cc61ad10$65250730$@gmail.com> Call for Submissions to the 8th Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR) at RO-MAN 2024 * Website: https://sites.google.com/view/bailar2024/home * Workshop: August 26 2024 (TBC) * Location: Pasadena, California (USA) as part of the 33rd International Conference on Robots & Human Interactive Communication (RO-MAN 2024) * Manuscript submission site: https://easychair.org/my/conference?conf=bailar2024 * Contact for submissions: mariacarla.staffa at uniparthenope.it THEME Originating from its historical roots, the focal points of the BAILAR Workshop revolve around Behavior Adaptation, Interaction, and Learning for Assistive Robotics. Over the years, this workshop has delved into various topics aimed at understanding and adapting robot behavior to suit assistive scenarios. Particularly, emphasis has been placed on topics pertaining to Mutual affective understanding and Theory of Mind (ToM) between humans and robots. Mutual affective understanding serves as a cornerstone for achieving successful, acceptable, and intelligent social human-robot interaction (HRI). This entails embracing novel paradigms in robotic control systems. These paradigms not only enable robots to interpret human observable behaviors and internal/emotional states to anticipate and adapt to subsequent reactions but also aid humans in interpreting and anticipating the robot's state, intentions, and future actions through legible behavior designed around the emotional dimension of communication. It is crucial to equip robots with the capability to comprehend how human partners perceive the world and the robot itself, thus enabling better understanding and generation of behaviors comprehensible to humans. Furthermore, robots should possess the ability to display affective and social responses in a clear manner for humans, thereby facilitating acceptability and efficient human-machine communication, especially in the realm of Socially and Assistive Robotics (SAR), where interactions often involve disabled or vulnerable individuals. Additionally, robots can alleviate the workload and physical contact of healthcare specialists, particularly benefiting situations where elderly or vulnerable individuals are susceptible to infection. Ensuring positive feelings and acceptance while providing necessary assistance underscores the significance of intelligent and empathic socially assistive robots. In this context, it is imperative to consider the impact of verbal and non-verbal emotional social cues of the robot on the user's affective state during interaction. While robots can provide assistance to individuals with disabilities, their actions must be tailored to individual needs and expectations to prevent triggering negative emotions, such as stress or discomfort, which could be counterproductive. Robots could leverage affect-sensing capabilities to learn and adapt their behavior to better suit individuals and enhance learnability and acceptability through inclusive interaction. The upcoming edition of the BAILAR Workshop aims to explore the mutual understanding of affective/emotional states between robots and humans, alongside learning and user adaptation within HRI. Methodologies and technologies for detecting and adapting to users' mental states, emotions, and dispositions during HRI will be presented and discussed. Experimental protocols and results may shed light on potential effects of gender, age, personality, and pathology on robot perception from an emotional and affective standpoint, alongside ethical considerations regarding the acquisition and utilization of personal data within assistive applications. IMPORTANT DATES * Deadline for Paper Submission: May 20th, 2024 * Paper Acceptance Notification: June 12th, 2024 * Camera Ready Paper: July 21st, 2024 * Main Conference Date: August 26th-310th, 2024 * Workshop Date: August the 26th, 2024 (TBC) Submission Guidelines We welcome prospective participants to submit either extended abstracts (up to 4 pages) or full papers (up to 6 pages). Papers can be on research that the authors would like to discuss during the workshop, especially encouraging papers on new ideas or research that the authors plan to conduct. Selected papers will be invited to submit an extended/revised version of the papers for a special issue in a recognized international journal. We strongly encourage workshop participants to present during paper presentation demos and videos showing their experiments and achievements. All material collected during the Workshop, such as video, slides, papers, etc., will be made available on the workshop website upon approval of the authors. The manuscripts should conform to the RO-MAN 2024 guidelines: https://www.ro-man2024.org * Word template: http://ras.papercept.net/conferences/support/word.php * LaTeX template: http://ras.papercept.net/conferences/support/tex.php Submissions do not need to be anonymized for review. All submitted papers will be reviewed by two reviewers. Accepted papers require that at least one of the authors register to the workshop. The abstracts of the accepted papers will appear on the workshop website. * Authors will be able to submit a PDF copy through EasyChair: https://easychair.org/my/conference?conf=bailar202 4 List of Topics Topics of interest include, but are not limited to, the following: * Online adaptive behavior * Acceptability and personalization in HRI * User and behavior modeling for adaptation * Emotion and intention recognition * Multimodal interfaces for emotion recognition * Affective and emotional robots * Empathy in robotics * Mutual affective communication * Affective computing in SAR * Internal state monitoring * Detection of verbal and non-verbal behavioral cues * Lifelong (or continual) learning and adaptation methods in HRI * Short-term personalization in HRI * Incremental and online learning in HRI * Robot behavior explainability and legibility * Theory of Mind in Robotics * Understandable Communication * Ethical Aspects of Affective HRI communication and personalization in SAR * Evaluation metrics for adaptive robot behavior Committees Organizing committee * Mariacarla Staffa (Coordinator) - University of Naples Parthenope (Italy) * Alessandra Sciutti - IIT (Italy) * Silvia Rossi - University of Naples "Federico II" (Italy) Invited Speakers * Prof. Iolanda Leite (Confirmed - online) * Prof. Laurel Riek (Confirmed - in presence) Contact All questions about submissions should be emailed to mariacarla.staffa at uniparthenope.it ---------------------------------------- Alessandra Sciutti (PhD) Researcher Tenure Track - P.I. CONTACT Unit Istituto Italiano di Tecnologia - Via Enrico Melen 83, Building B 16152 Genova, Italy email: alessandra.sciutti at iit.it website: https://www.iit.it/people/alessandra-sciutti ERC website: https://www.whisperproject.eu/ An intro on my research (Video, Eng): https://youtu.be/LCkOjR_cvxI TEDx talk (Italian): https://www.youtube.com/watch?reload=9&v=e0eMayWU_lc Our book on Modeling Human Motion: https://www.springer.com/gp/book/9783030467319 twitter: @alefreedot -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Apr 14 07:10:37 2024 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 14 Apr 2024 14:10:37 +0300 Subject: Connectionists: World wide VVTNS series: Wednesday, April 17 at 11am (EDT), Tim O'Leary University of Cambridge|Flip flops and toggles for effective decision making in neural circuits In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Tim O'Leary University of Cambridge on the topic of "Flip flops and toggles for effective decision making in neural circuits*"* The lecture will be held on zoom on *April 17, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Neural computation is inextricably bound to decisions that must be made under time pressure and uncertainty. At the level of neural circuits, single neurons need to decide whether to spike. On longer timescales, the component circuitry needs to decide whether to reconfigure to store memories and adapt to novel situations. In this talk I will focus on two fun ideas in each of these contexts by showing how nonlinearities in neural components naturally form excitable switches that enable reliable decisions to be made in fluctuating environments. I will also issue propaganda that the kind of high level, cognitive faculties that we normally associate with decision making apply equally well and are understudied at the level of neural and synaptic populations. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints P?res 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From nemanja at temple.edu Sat Apr 13 10:20:36 2024 From: nemanja at temple.edu (Nemanja Djuric) Date: Sat, 13 Apr 2024 14:20:36 +0000 Subject: Connectionists: CfP - AdKDD @ KDD2024 Message-ID: Call for Workshop Papers AdKDD 2024 in conjunction with The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024) Barcelona, Spain, August 25th-29th, 2024 http://www.adkdd.org In 2023, the average worldwide internet user spent on average 6.5 hours daily across all devices interacting with online content almost entirely sponsored by advertisements. At almost $700B global market size in 2024, and expected to pass $830B by 2026, digital advertising has already surpassed traditional ads in global spend and continues to grow despite economic headwinds. Digital advertising and in particular computational advertising is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads connect us to opportunities to enrich our lives and creep us out when done badly. Recently at the forefront of political battles between governments, large multinational corporations, and consumers, digital advertising remains a dynamic industry and research area. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving from simple rule-based ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences within native, video, and display formats on mobile devices, connected TV, and audio?all utilizing data amassed from petabytes of stored user data collected increasingly through inferred identity providers. The increasing use of sequence models and the rise of Generative AI is spawning new directions such as the auto-generation of ad creatives or pay-for-use shopping assistants. Ads are far from done. The AdKDD workshops have had a lot of interest and success in the past years. A total of seventeen workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. We look forward to seeing you in-person to discuss the past, present, and future of computational advertising! Topics: The workshop focuses on three main aspects of computational advertising. ? Evolution of computational advertising: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers, and increasing application of Graph-based NN and Generative AI models, challenge the traditional notions of advertising. There also continue to exist controversial issues in advertising such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. ? Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data, and audience insights, as well as position papers on the future of online advertising. Submission Instructions: Following the KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. ? Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here. All accepted papers will be archived on the AdKDD website, and we are also working on having them published in official proceedings as well. Please note: All of the attendees need to register through the main conference of KDD. In addition, in line with earlier KDD workshops, we do not provide separate registration only for the workshop itself. Important Deadlines (anywhere on Earth): Submission : June 15th, 2024 Decisions : July 1st, 2024 Camera-ready : July 7th, 2024 Video Submission: August 11th, 2024 Workshop : August 26th, 2024 Submission Website: https://easychair.org/conferences/?conf=adkdd2024 Program Committee Chairs: Abraham Bagherjeiran (eBay) Nemanja Djuric (Aurora Innovation) Kuang-chih Lee (Walmart) Linsey Pang (Salesforce) Suju Rajan (Amazon) Vladan Radosavljevic (Spotify) For further questions please contact the organizers at organizers at adkdd.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Sun Apr 14 08:56:45 2024 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Sun, 14 Apr 2024 14:56:45 +0200 Subject: Connectionists: CFP - Reminder - ESANN 2024 - SS - Machine learning in distributed, federated and non-stationary environments Message-ID: CALL FOR PAPERS - ESANN 2024 Special Session on "Machine learning in distributed, federated and non-stationary environments" *DEADLINE* Paper submission deadline: 2 May 2024 Notification of acceptance: 16 June 2024 The ESANN 2024 conference: 9-11 October 2024 *WEBSITE* https://www.esann.org/ *DESCRIPTION* Today machine learning is often done in a distributed setting to process large data sets, compute high-complex models, but also to ensure data privacy constraints in accessing the data. Relevant data is often distributed among many individual users and cannot be bundled directly for analysis. Also, the data is often dynamic, generated as a data stream, or drifting over time. Learning from this huge, heterogeneous and growing amount of data requires flexible learning models that can adapt over time and deal with potentially non-i.i.d., non-stationary input data. Another challenge could be costs for energy consumption, transmission costs, and alike. The latter is particularly crucial if machine learning is done using smart systems (drones, unmanned vehicles ...), which should act independently over a longer time. This special session welcomes novel research about machine learning in a non-stationary and distributed/federated setting. *TOPICS AND THEMES* We encourage the submission of papers on novel methods for topics like streaming data processing, federated learning, distributed learning by means of computational intelligence and machine learning approaches, including but not limited to: - Data analysis and pattern recognition approaches for non-stationary and distributed environments - Learning in heterogeneous systems - Effective communication for updating distributed models - Model compression and adaptive model aggregation - Representation and modeling of distributed models - Approximation techniques for non-stationary or distributed data Algorithms for the processing and analysis of streaming data - Federated learning algorithms and variants, e.g., Split learning, Gossip Learning, and decentralized Federated Learning - Security and privacy preservation in federated environments - Differential privacy techniques - Application of Deep Learning in the Federated Learning context - Particular interesting applications in IoT, recommendation systems, medicine, sensor networks, text processing... *ORGANIZERS* Mirko Polato, Universit? di Torino, Italy Barbara Hammer, University of Bielefeld, Germany Frank-Michael Schleif, Technical UAS Wuerzburg-Schweinfurt, Germany -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science Technical University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at thws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From ai at okipublishing.com Sat Apr 13 11:02:43 2024 From: ai at okipublishing.com (AI Systems) Date: Sat, 13 Apr 2024 10:02:43 -0500 Subject: Connectionists: 1st CFP: CAIS 2024 Automated and Intelligent Systems, Oct 1-3, OKCity, USA & Online Message-ID: [Apologies for cross-posting] --- 1st Call for Abstracts and Papers ------------- 2024 OkIP International Conference on Automated and Intelligent Systems (CAIS) Downtown Oklahoma City, OK, USA & Online October 1-3, 2024 https://eventutor.com/e/CAIS004 Submission Deadline: July 15, 2024 Extended versions of the best papers will be considered for publication in the inaugural volume of the International Journal of Automated and Intelligent Systems. *** Contribution Types (Two-Column IEEE Format Style): - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 page) *** Areas: >> AI, Machine Learning (ML), and Applications - General ML | Active/Supervised Learning - Clustering/Unsupervised Learning - Online Learning | Learning to rank - Reinforcement Learning | Deep Learning (DL) - Semi/Self Supervised Learning - Time Series Analysis | Prediction/Forecasting - DL Architectures/Generative-Models - Deep Reinforcement Learning - Computational Learning Theory - Bandit/Game/Statistical-Learning Theory - Optimization Methods and Techniques - Convex/Non-Convex Optimization - Matrix/Tensor Methods - Stochastic/Online Optimizations - Non-Smooth/Composite Optimization - Probabilistic Inference | Graphical Models - Bayesian/Monte-Carlo Methods - Trustworthy Machine Learning - ML Accountability/Causality - ML Fairness/Privacy/Robustness - Healthcare/DNA/Transportation - Digital-Economy | Ecommerce Security - Sustainability | Energy | Green Technology - Language | Image - Recommendation Systems >> Agent-based, Automated, and Distributed Supports - Multi-Agent Systems | Software Agents - Dialogue System | Conversational Agent - Decentralized/Distributed Intelligence - Context-Aware Computing - Group Decision Support Systems - Intelligent Structures/Networks - Design/Automation Approaches - Sensor Networks Architectures - Complex Manufacturing Processes - Analytical Models | Path Planning - Multistage Assembly Line - Automated Inspection - Natural Language Processing >> Natural Language Processing (NLP) - Conversational Agents | Dialogue System - Large Language Models | Grammatical Tagging - Natural Language Generation/Toolkit - Linguistic Morphology | Morphological Analysis - Morphemesx Characteristics - Language Models and Smoothing - Document/Topic Classification/Notation - Sequence Labeling |Speech Tagging - Named Entity Recognition - Lexical Semantics | Word Embeddings - Phrase Structure | Dependency Syntax - Sentence Semantics | Speech Recognition - Question Answering | Machine Translation - Document Summarization | Sentiment analysis - Co-Reference Resolution - Word Sense Disambiguation - NLP Tools/Approaches | Statistical NLP - AI/Machine/Deep Learning Techniques for NPL - Convolutional/Recurrent Neural Networks >> Intelligent Systems and Applications - Medical Nanorobotics | Sensors | Actuators - Sensory/Embedded Systems - Embedded Systems | Digital Manufacturing - Optimization/Evolutionary Algorithms - Bioinformatics/Biotechnology Applications - Computer-Vision Applications - Sensor-Networks Applications - Intelligent Design | Fuzzy Systems - Soft/Ubiquitous/Pervasive Computing - Pervasive/Wearable Computing - Intelligence Manufacturing | Microsatellite - Cyber-physical Systems | Kinematics - AI in Nuclear-Energy/Earth-observation - Signal/Audio/Video Processing - Context-Awareness | Internet of Things - Human-Computer Interactions >> Knowledge-based and Control Supports - Expert/Complex Systems - Decision-Support Systems - Intelligent Control/Supervision Systems - Knowledge Engineering - Neural Networks | Structural Optimization - Intelligent Teleoperation - Intelligent Shopfloor - Collision Avoidance | Fault Diagnosis - Object Detection and Tracking | Path Planning - Position/Quality/Motion Control - Predictive Control - Preventive Maintenance | Defect Detection >> Automation, Robotics and Vehicles - Unmanned Vehicles/Robots - Autonomous Vehicles/Robots - Human-Robot Interfaces/Interactions - Intelligent Telerobotics | Service Robots - Robotic Manipulators/Arms/Applications - Computer Vision - Industrial/Agricultural Robotics - Self-Driving Vehicles | Cloud-based Driving - Vehicular ad hoc Networks |Traffic Detection - Vehicle-to-Vehicle Communication - Vehicle Platooning | Steering Systems - Vehicle dynamics | Traffic Computing - AI in Manufacturing Automation - Lights-out Manufacturing - New Concepts/Products Rapid Scaling - Business Process Automation | IT Automation - Network Automation | Industrial Automation - Automating Integration between Systems - Fixed Automation | Programmable Automation - Flexible Automation | Integrated Automation >> Global AI - Sustainable AI | AI for HealthCare - AI Solutions to Global Problems - Socially Intelligent Robots - Crowdsourcing AI Solutions - Machine Vision and Safety - AI Technological Progress - AI Societal Accountability - Conservation and Biodiversity - Human Development Tracking - Neurotechnologies, AI, and Human Rights - AI Risks/Benefits | AI and Financial Inclusion - AI and Environmental Efficiency - Artistic/Hybrid Intelligence - AI for Diversity/Inclusion/Equity/Equality - AI in Weather/Climate - Addressing the Dark Sides of AI - AI for Future Communities >> Generative AI Tools and Models - Generative AI Tools/Models/Applications - Legal and technical challenges - Empathy and Ethical Creativity - Explainability/Robustness/Trustworthy AI - AI-Powered Decision-Making Tools - Responsible/Fair/Unbiased/Auditable AI - Data Modality/Type - Unimodal/Multimodal Systems - Generative AI Software/Hardware - Chatbot|Text-to-image | Text-to-video - Smaller/Larger/Language Models - Advanced Computing | Semiconductors - GPU | AI Accelerator Chips - Government/Business/Individuals Concerns - Job Losses | Deepfakes | Cybercrime - Misuse in Journalism | Regulations >> AI in Computing and Society - AI/Cognition in Cloud Computing - AI in Software Engineering - AI in Data and Big Data - Theories and Approaches of Blockchain - AI in Electronic Commerce - Collaborative Knowledge Building Activities - AI in the Healthcare System - AI in High-Performance Computing - AI in CyberSecurity - IA in Power/Energy - AI and Knowledge Management Process - AI, Web-Based Environments, and Adaptive Systems - Smart Systems/Infrastructures/Construction/City - Grid Modernization | Efficient Wind Turbines - Digital Communication and Control - Evolution/Integration of Renewable Energy - Smart Grids/Microgrids/Meters/Appliances - Internet of Things (IoT) and Sustainability - Intelligent Transportation Systems >> AI in Education - AI-assisted Educational Methods/Tools/Technologies - Interactive Pedagogical Technologies/Agents - Educational Data-Mining/Knowledge-Representation - Virtual/Augmented Reality in Education - Intelligent Teaching/Learning Models - Problem-Solving Methods/Processes - Collaborative/Community/Group Learning - Computational Thinking and Model-building - Learning Motivation/Engagement and Feedback - Learning Engagement/Companions Tools - Teaching Agent Support - Explainable Teaching/Learning/Tutoring Models - Learning Contexts and Informal Learning - Game-based learning; Collaborative and group learning; - Ubiquitous Learning Environments - Lifelong/Professional/Informal Learning - Evaluation Methods/Techniques/Tools - Equity and Inclusion in Education - Ethics and AI in Education - AI in k-12 Education - Synchronous/Asynchronous/Mobile Learning - Virtual-Active/Video-Based/Mixed-Reality Learning >> AI Engineering - Data Acquisition/Sensing/Migration/Integration - Data Verification/Validation - Data Sharing/Representation/Conversion - Data Privacy/Integrity/Security/Corruption - Data Dependence Quality/Restauration - Data Coverage/Analysis/Constraints - Data Structure/Prediction/Change/Evolution - Data Sensitivity Modelling - Human-centered AI - Operational Environment/Condition/Situation - System Limitation/Self-Awareness - Human-Needs Translation - Competency-aware Systems - Introspection Assessment/Implementation - Generic Introspection Modeling - Environment Construction/Reconstruction/Evaluation - System Risk/Vulnerability/MultiTasking - Adversarial Aspects/Explainability - System Accuracy/Robustness - System Evaluation/Predictability - AI System Design - Deep Human Understanding - Human Behavior/Value Understanding/Interpretation - Develop/Share/Reuse AI Infrastructure/Model/Data >> Software Engineering for AI - Data Management/Observability Tools - Data Ingestion/Cleansing/Protection - Data Monitoring/Verification/Validation - Data Evolution/Change/Pileline Management - Data Change and Malicious Data Injection - Training Data and Problem Correlation - Components/Data/Models Uncertainty Support - Components/Data/Models Evolution/Change Management - Systems/Components Verification/Validation - Systems/Components Robustness/Security - Problem Requirement Elicitations - Team Formation/Qualification/Background - Data Engineering Approaches - Model Building/Customization/Selection/Refinement, - Hardware Infrastructure Selection - Software Architecting Expertise - Innovative Software Engineering Expertise - Model building/Customization/Evolution/Change - Algorithm Selection/Evolution/Change Management - System Evolution and Environmental Change - System Intrusion/Attacks Detection/Prevention - Security Challenges | User Experience Consideration - System Evaluation/Verification/Validation - System Performance/Scalability - Bandwidth/Resource/Expertise/Time Management - Variant/Version/Bias Management - Output Assurance/Interpretation - Continuous Monitoring and Instrumentation - Component Development/Couplying/Extensibility/Scalability - Ethical/Gender/Equity/Bias/Policy/Accessibility Concern >> Circuit, Design and Hardware for AI - Circuit and Design - Hardware-Software Co-design - Electronic System Design/Implementation/Demonstration - Circuit and System Innovations - Theories and Artificial Intelligence in Circuits/Systems - Emerging Printed Circuit Boards - Smart Tool/Platform/Infrastructure - Advanced Neural Network Design - Neuromorphic Computing/Chip - High-Performance/Cloud Computing - Intelligent Hardware Design Systems - Leakage Reduction Techniques - Hardware acceleration Techniques - Mathematical foundations - Theories on Linear Circuits and Systems - Complex Variables | Linear Equations and Matrices - Convolution | Filter Designs | Laplace and Fourier transformations - Emerging Design Automation - Circuit Design and Layout Rules - Circuits Formal Verification/Validation - Reconfigurable Design | Circuit Theory - Ambient/Miniaturization Intelligence >> Important Dates: - Abstract or Paper Submission: July 15, 2024 - Author Notification: July 31, 2024 - Camera Ready Paper Submission, Registration: August 14, 2024 - Conference Date: October 1-3, 2024 >> Technical Program Committee https://eventutor.com/event/47/page/122-committee Please feel free to contact us for any inquiries at: Kris Zeuti OkIP Secretariat info at okipublishing.com From poma at mmmi.sdu.dk Sun Apr 14 22:42:38 2024 From: poma at mmmi.sdu.dk (Poramate Manoonpong) Date: Mon, 15 Apr 2024 02:42:38 +0000 Subject: Connectionists: [jobs] PhD Position in Adaptive Neural Control for Magnetic Soft Robotics at University of Southern Denmark Message-ID: We have an available PhD Position in Adaptive Neural Control and Learing for Autonomous Lifelong Learning and Adaptation in Magnetic Soft Robotics at Embodied AI and Neurorobotics (ENS) Lab (https://ens-lab.sdu.dk/), part of SDU Biorobotics (https://www.sdu.dk/en/forskning/sdu_biorobotics), University of Southern Denmark, Odense, Denmark. The PhD position (DC6) is part of the Marie Sk?odowska-Curie Actions Doctoral Network (MSCA-DN) ?Magnetic Soft Matter for Robotics?. MAESTRI, (https://maestri-project.eu/) funded by the Horizon Europe (HORIZON), is an interdisciplinary research training network of 7 universities and 2 companies from 5 countries. It reflects the demand for training a new kind of expert in the emerging application field of magnetic soft robotics. If you are interested in: - pursuing a PhD in Denmark, - developing your knowledge and skills in embodied artificial intelligence, neural control, online and lifelong robot learning, soft (magnetic) robotics, and material science (like magnetoactive elastomer, MAE); - collaborating with several intetnational universities and industrial robotics companies, see the details of the position and application procedure at https://euraxess.ec.europa.eu/jobs/214572 The closing date for all applications is 12 May 2024 ? 23:59 (Europe/Copenhagen) ----------Reference------------ Poramate Manoonpong Professor Embodied AI and Neurorobotics Lab: https://ens-lab.sdu.dk SDU Biorobotics, The Maersk Mc-Kinney Moller Institute Email: poma at mmmi.sdu.dk www.sdu.dk/ansat/poma University of Southern Denmark Campusvej 55 DK-5230 Odense M www.sdu.dk -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Mon Apr 15 05:41:54 2024 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Mon, 15 Apr 2024 11:41:54 +0200 Subject: Connectionists: 1st CFP MultiCardioNER (CLEF/BioASQ 2024): Clinical Named Entity Recognition adaptation shared task (multilingual & cardiology) Message-ID: (Apologies for cross-posting) *CFP MultiCardioNER (CLEF/BioASQ 2024): Clinical Named Entity Recognition adaptation shared task (multilingual & cardiology)* *https://temu.bsc.es/multicardioner/ * The MultiCardioNER track focuses on the adaptation of clinical NER systems to specific high impact clinical application domains (cardiovascular diseases, the leading cause of death globally) as well as to multiple languages (English, Spanish and Italian), focusing on two clinical entity types: diseases and medications. *Key information:* ? *Web*: https://temu.bsc.es/multicardioner ? *Data*: https://zenodo.org/records/10948355 ? *BioASQ** web*: http://bioasq.org/ ? *Registration**:* https://temu.bsc.es/multicardioner/registration/ *Motivation *The extraction of clinical variables from medical content is key to enable efficient healthcare data analytics. Due to the highly specialized medical language, with considerable variation depending on the medical discipline, more specialized automatic semantic annotation resources are needed, not only for English but also other languages. This is particularly true for clinical content related to cardiovascular diseases (CVDs), which represent the leading cause of death globally, responsible for approximately 17.9 million deaths/year. The MultiCardioNER task will focus on the automatic recognition of two key clinical variables or concept types, namely diseases and medications in cardiology clinical case documents with the following two aims: ? Adaptation of general clinical concept recognition systems to cardiology case reports to assess and determine how well such systems can be adapted to high impact clinical application domains / specialties (cardiology disease NER - CardioDis subtrack: Spanish). ? Promote the comparative assessment and development of clinical entity recognition systems for multiple languages (i.e., medication mention detection) as well as adaptation to specific medical specialties (MultiDrug subtrack: English, Spanish and Italian) To enable the adaptation of general medical NER systems for diseases and medications the MultiCardioNER task will rely on a training collection of 1000 general clinical case reports in Spanish annotated with diseases (Spanish) and medications (English, Spanish and Italian). Moreover, to be able to adapt such general medical NER approaches to cardiology case reports a development set of 250 cardiology cases will be released. The test set will consist of an additional test collection of 250 cardiology case reports. The evaluation of systems for this task will use flat evaluation, mainly micro-averaged Precision, Recall and F-measure (MiF). Sub-tracks: *Subtask 1 (CardioDis): *Spanish adaptation of disease recognition systems to the cardiology domain *Subtask 2 (MultiDrug): *Multilingual (Spanish, English and Italian) adaptation of medication recognition systems to the cardiology domain *Tentative schedule* ? MultiCardioNER Train+Dev Set Release April 9th, 2024 ? MultiCardioNER Annotation Guidelines Release April 17th, 2024 ? MultiCardioNER Gazetteer Release April 17th, 2024 ? MultiCardioNER Test Set Texts Release May 2nd, 2024 ? Participant Test Predictions Deadline ? May 15th, 2024 ? Participant Evaluation Result Release May 19th, 2024 ? Submission of Participant Papers Deadline May 31st, 2024 ? Notification of Acceptance of Participant Papers June 24th, 2024 ? Submission of Camera-ready Participant Papers Deadline July 8th, 2024 ? BioASQ @ CLEF2024 September 9th-12th, 2024 *Publications & conference* Following previous BioASQ/CLEF efforts, participating teams will be invited to contribute a short systems description paper for the CLEF 2024 proceedings, and to give a short presentation of their approach at the BioASQ workshop at the CLEF 2024 conference (September 09-12, 2024, in Grenoble, France) *The **MultiCardioNER Organizers & collaborators:* - Salvador Lima-L?pez, Barcelona Supercomputing Center (BSC), Spain - Eul?lia Farr?-Maduell, Barcelona Supercomputing Center (BSC), Spain - Jan Rodr?guez-Miret, Barcelona Supercomputing Center (BSC), Spain - Martin Krallinger, Barcelona Supercomputing Center (BSC), Spain - Anastasios Nentidis, National Center for Scientific Research Demokritos, Greece - Anastasia Krithara, National Center for Scientific Research Demokritos, Greece - Georgios Katsimpras, National Center for Scientific Research Demokritos, Greece - Livia Lilli, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Italy - Jacopo Lenkowicz, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Italy - Jonathan Kossoff, University College London Hospitals NHS Foundation Trust, UK - Giovanna Ceroni, University College London, UK - Anoop Shah, University College London Hospitals NHS Foundation Trust, UK ======================================= Martin Krallinger, Dr. Head of NLP for Biomedical Information Analysis Unit Barcelona Supercomputing Center (BSC-CNS) https://www.linkedin.com/in/martin-krallinger-85495920/ ======================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From contact at sscc.fr Mon Apr 15 04:13:42 2024 From: contact at sscc.fr (Samir Ouchani) Date: Mon, 15 Apr 2024 10:13:42 +0200 Subject: Connectionists: [First CFP] CRiSIS 2024: The 19th International Conference on Risks and Security of Internet and Systems Message-ID: <005b01da8f0c$dc22ab10$94680130$@sscc.fr> Apologies if you receive multiple copies 19th International Conference on Risks and Security of Internet and Systems (CRiSIS 2024) November 26th - 28th, 2024 Aix-en-Provence, France The 19th International Conference on Risks and Security of Internet and Systems (CRiSIS) in 2024 continues its tradition of addressing critical security challenges in Internet-connected applications, networks, and systems. The indispensability of the Internet for information exchange among diverse user groups and organizations has led to heightened risks around security and privacy. This vulnerability is exacerbated by the sophistication of online attacks, the proliferation of cybercrime, and the readily available tools for attackers, who are increasingly motivated and skilled. The advent of complex technologies, including pervasive computing, mobile, and wireless devices and networks, introduces new security challenges, necessitating the deployment of advanced security mechanisms and techniques. These advancements are crucial for protecting critical sectors such as energy, transportation, health, defense, banking, critical infrastructures, embedded systems and networks, avionics systems, and more, ensuring an acceptable level of security assurance. CRiSIS 2024 serves as an essential platform for stakeholders in computer and network security from the industrial, academic, and governmental sectors to convene, share insights, and showcase the latest developments in combating Internet-related security threats, vulnerabilities, and the necessary countermeasures to address them. TOPICS ====== We target contributions from both academia and industrials on the following topics, but not limited to: - AI and machine learning-based security approaches - Formal methods and logics-centered security approaches - Analysis and management of risk - Attacks and defenses - Attack data acquisition and network monitoring - Authorization, Authentication, and Identity Management - Blockchain and Distributed Ledger Technologies - Cryptography, biometrics, watermarking - Dependability and fault tolerance of Internet applications - Distributed systems security and safety - Embedded system security and safety - Empirical methods for security and risk evaluation - Hardware-based security and physical security - Intrusion detection and prevention systems - Organizational, ethical, and legal issues - Privacy protection and anonymization - Risk-aware access and usage control - Analysis and management of cyber crisis - Security and risk assessment - Security and risks metrics - Security and dependability of operating systems - Security and safety of critical infrastructures - Security and privacy of peer-to-peer system - Security and privacy of wireless networks - Security in Cloud/Edge/Fog computing - Security models and security policies - Security of big data - Security of industrial control systems - Security of intelligent transportation systems - Security of e-commerce, electronic voting, and database systems - Security of new-generation networks - Security of smart cities - Security of smart grid - Security of social networks - Security of the IoT and IIoT - Security of VoIP and multimedia - Smartphone security and privacy - Traceability, metrology and forensics - Trust management - Ubiquitous computing security - Use of smart cards and personal devices for Internet applications - Virtualization security - Web and Web-service security IMPORTANT DATES ================ Submission deadline: June 15th, 2024 Notification of acceptance: July 15th, 2024 Camera-ready paper due: October 15th, 2024 PAPER SUBMISSION ================= Submitted papers must not significantly overlap with papers already published or those being concurrently submitted to a journal or conference with proceedings. Papers should be written in English and submitted electronically in PDF format. Selected papers presented at the conference will be included in the post-proceedings, to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. Authors are required to revise their papers according to review comments before publication. Pre-proceedings will be available at the time of the conference. The maximum length for submissions is 16 pages for full papers and 6 pages for short papers, following the LNCS formatting guidelines. We recommend the use of LNCS Springer Overleaf Template (https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer -science/kzwwpvhwnvfj#.WtR5Hy5ua71). Authors must upload their paper as PDF file using the EasyChair submission system: https://easychair.org/conferences/?conf=crisis2024 WEB SITE ======== https://crisis2024.univ-gustave-eiffel.fr GENERAL CHAIRS ============== - Fr?d?ric Cuppens, Polytechnique Montreal, Canada - Nora Cuppens, Polytechnique Montreal, Canada - Jean-Paul Mizzi, Universit? Gustave Eiffel, France - David Garcia, CESI Lineact, France PROGRAM COMMITTEE CHAIRS ========================== - Simon Collart Dutilleul, Universit? Gustave Eiffel, France - Samir Ouchani, CESI Lineact, France PUBLICITY CHAIRS =============== - Slim Kallel, University of Sfax, Tunisia ORGANIZING COMMITTE ===================== - David Garcia, CESI Lineact, France - Amine Mohammed Boudouaia, CESI Lineact, France - Malika Benkhalifa, Ecole d'Ing?nieurs CESI, France - Philippe Bon, Gustave Eiffel University, France - Seddik Reguieg, Gustave Eiffel University, France - Val?rie Osmont, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France - Danielle Zennir, Gustave Eiffel University, France ============================= Dr. Samir Ouchani, Ing., PhD., HDR. Research Director, CESI Lineact. Aix-en-Provence, France. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pangjun at gmail.com Mon Apr 15 07:24:39 2024 From: pangjun at gmail.com (Jun PANG) Date: Mon, 15 Apr 2024 13:24:39 +0200 Subject: Connectionists: MIWAI 2024: first call for papers Message-ID: ======================================== MIWAI 2024: 17th Multi-disciplinary International Conference on Artificial Intelligence Pattaya City, Thailand November 11-15, 2024 Conference website: https://miwai24.miwai.org/ ======================================== Artificial Intelligence (AI) research has broad applications in many real world problems. Examples include control, planning and scheduling, pattern recognition, knowledge mining, software applications, strategy games and others. The ever-evolving needs in society and business both on a local and on a global scale demanding better technologies for solving more and more complex problems. Such needs can be found in all industrial sectors and in any part of the world. The 17th edition of Multi-disciplinary International Conference on Artificial Intelligence (MIWAI) will be held in Pattaya City, Thailand on November 11-15, 2024. MIWAI 2024 aims to be a meeting place where excellence in AI research meets the needs for solving dynamic and complex problems in the real world. The academic researchers, developers, and industrial practitioners will have extensive opportunities to present their original work, technological advances and practical problems. Participants can learn from each other and exchange their experiences in order to fine tune their activities in order to help each other better. The main purposes of the MIWAI series of conference are: -- To provide a meeting place for AI researchers and practitioners. -- To inform research students about cutting-edge AI research via the presence of outstanding international invited speakers. -- To raise the standards of practice of AI research by providing researchers and students with feedback from an internationally-renowned program committee. ************************ Topics of Interest ************************ MIWAI 2024 provides opportunities for the delegates to exchange new ideas and establish future collaborations worldwide. MIWAI aims to promote AI research in both theoretical and applied research addressing real-world applications. We encourage researchers to submit their unpublished papers in the following areas, but not limited to: Theoretical Foundation: Cognitive Science; Computational Philosophy; Game Theory; Graphical Models; Knowledge Representation and Reasoning; Logic; Fuzzy Logic; Multi-agent Systems; Neurosciences; Probabilistic Reasoning; Qualitative Reasoning; Uncertainty Cognitive Computing: Affective Computing; Computer Vision; Human-Computer Interaction; Natural Language Processing; Self-aware Systems; Speech Recognition; Social Cognition Computational Intelligence: Data Mining and Knowledge Discovery; Deep Learning; Evolutionary Computing; Fuzzy Systems; Machine Learning; Optimization Techniques; Pattern Recognition; Planning and Scheduling; Social Computing; Swarm Intelligence AI Applications: AI for Sciences, Ambient Intelligence; Big Data Analysis; Bioinformatics; Brain Machine Interface; Chatbots; Decision Support Systems; E-commerce; Energy Management; Healthcare; Industrial Applications of AI; Intelligent Information Systems; Robotics; Recommender Systems; Security and Privacy Management; Semantic Web; Software Engineering; Social Network Analysis; Sustainability; Surveillance; Telecommunications and Web Services; Virtual Reality & Augmented Reality ************************ Important Dates ************************ Submission Deadline: July 1, 2024 Notification Deadline: August 1, 2024 Camera Ready Deadline: August 15, 2024 Registration Deadline: August 15, 2024 Conference Dates: November 11-15, 2024 ************************ Submission ************************ Submissions to the conference must not have been published or be concurrently considered for publication elsewhere. All submissions will be judged on the basis of originality, contribution to the field, technical and presentation quality, and relevance to the conference. Submissions should be anonymized: The authors' names and institutions should not appear in the paper. Unpublished work of the authors should not be cited. The proceedings will be published in the Springer Lecture Notes in Artificial Intelligence (LNAI) series. Contributions should be submitted to one of the following categories: Regular technical papers: A regular technical paper presents a novel contribution, which could for instance be theoretical, algorithmic, methodological, or empirical. Such paper should have no more than twelve (12) pages in the Springer-Verlag LNCS style. Survey papers: A survey paper should provide a structured and synthesized view of a well-established AI body of research, in which one of the authors should have made some contributions. Such paper should have no more than twelve (12) pages in the Springer-Verlag LNCS style. Short papers: We also accept short papers for MIWAI 2024. They may present work in progress, providing an opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among researchers interested in the broad area of artificial intelligence. We encourage contributions presenting thought-provoking ideas and promising (preliminary) results in realizing them. We also encourage researchers and practitioners to submit reports on work in progress to discuss ongoing research, practical experience, challenges or issues related to artificial intelligence. Short papers should not exceed 8 pages in length and should not have been submitted for review or published elsewhere. All submitted papers and extended abstracts have to be written in English and must be submitted in the form of a PDF file using the EasyChair online submission system, at the following link: https://easychair.org/conferences/?conf=miwai2024. Instruction for the Springer Nature LNCS style: http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . All authors should consult the Springer Nature Code of Conduct ( https://www.springernature.com/gp/authors/book-authors-code-of-conduct), including guidelines for authorship principles, originality, redundant publications, conflicts of interests, etc. In particular, we draw your attention to the Springer Nature policies in the section Ethical Approval and Informed Consent. ************************ Keynote/Invited Speakers ************************ Patrick Doherty, University of Linkoping, Sweden (more to be confirmed) ************************ Committees ************************ * General Chair(s): Chattrakul Sombattheera, Mahasarakam University, Thailand * Program Co-chairs: Isara Anantavrasilp, King Mongkut's Institute of Technology Ladkrabang, Thailand Jun Pang, University of Luxembourg, Luxembourg Paul Weng, Duke Kunshan University, China * Program Committee: TBA * Publicity Chair: Panich Sudkhot, Mahasarakam University, Thailand * Organizing Committee: Rapeeporn Chamchong, Mahasarakham University, Thailand Benjawan Intara, Valaya Alongkorn Rajabhat University (Under Royal Patronage), Thailand * Web Administration: Worawith Sangkatip, Mahasarakham University, Thailand Panich Sudkhot, Mahasarakham University, Thailand ************************ Contact ************************ All questions about submissions should be emailed to miwai2024 at easychair.org . -------------- next part -------------- An HTML attachment was scrubbed... URL: From damien.DEPANNEMAECKER at univ-amu.fr Mon Apr 15 09:39:39 2024 From: damien.DEPANNEMAECKER at univ-amu.fr (DEPANNEMAECKER Damien) Date: Mon, 15 Apr 2024 13:39:39 +0000 Subject: Connectionists: ERRATUM: EITN Fall School in Computational Neuroscience 2024: Applications are now open! In-Reply-To: References: <95d2f01fe24c4b6db81f5355768b65a5@univ-amu.fr>, Message-ID: <552d08136892441cb88df2277c16eb6d@univ-amu.fr> Erratum: Due to technical issue the email address previously announced is not working, please send your application at: eitnfs2024 at protonmail.ch EITN Fall School in Computational Neuroscience 2024 Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: ? Cellular models, and models of brain signals ? Circuit models and networks ? Mean-field models ? Whole-brain models Hands-on learning schedule based on: ? Morning classes and tutorials ? Group projects in the afternoon ? Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024 at protonmail.ch You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitnfs2024 at protonmail.ch for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France) Egidio D?Angelo (University of Pavia, Italie) Michele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson (AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker (AMU, Marseille France) Huifang Wang (AMU, Marseille France) .... ________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From damien.DEPANNEMAECKER at univ-amu.fr Mon Apr 15 09:34:18 2024 From: damien.DEPANNEMAECKER at univ-amu.fr (DEPANNEMAECKER Damien) Date: Mon, 15 Apr 2024 13:34:18 +0000 Subject: Connectionists: EITN Fall School in Computational Neuroscience 2024: Applications are now open! In-Reply-To: <95d2f01fe24c4b6db81f5355768b65a5@univ-amu.fr> References: <95d2f01fe24c4b6db81f5355768b65a5@univ-amu.fr> Message-ID: Erratum: Due to technical issue the email address previously announced is not working, please send your application at: eitnfs2024 at protonmail.ch EITN Fall School in Computational Neuroscience 2024 Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: ? Cellular models, and models of brain signals ? Circuit models and networks ? Mean-field models ? Whole-brain models Hands-on learning schedule based on: ? Morning classes and tutorials ? Group projects in the afternoon ? Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024 at protonmail.ch You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitnfs2024 at protonmail.ch for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France) Egidio D?Angelo (University of Pavia, Italie) Michele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson (AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker (AMU, Marseille France) Huifang Wang (AMU, Marseille France) ________________________________ De : DEPANNEMAECKER Damien Envoy? : mardi 9 avril 2024 13:24:27 ? : connectionists at mailman.srv.cs.cmu.edu Objet : EITN Fall School in Computational Neuroscience 2024: Applications are now open! EITN Fall School in Computational Neuroscience 2024 Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: ? Cellular models, and models of brain signals ? Circuit models and networks ? Mean-field models ? Whole-brain models Hands-on learning schedule based on: ? Morning classes and tutorials ? Group projects in the afternoon ? Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024 at groups.emdesk.com You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitnfs2024 at groups.emdesk.com for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Faculty and Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France)) Sacha Van Alba (Research Centre J?lich and University of Cologne, Allemagne) Egidio D?Angelo (University of Pavia, Italie) Michaele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson(AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker(AMU, Marseille France) HuifangWang (AMU, Marseille France) ... -------------- next part -------------- An HTML attachment was scrubbed... URL: From cimiano at techfak.uni-bielefeld.de Mon Apr 15 09:44:36 2024 From: cimiano at techfak.uni-bielefeld.de (Philipp Cimiano) Date: Mon, 15 Apr 2024 15:44:36 +0200 Subject: Connectionists: CFP: ECAI 2024 - Workshop "Multimodal, Affective and Interactive eXplainable Artificial Intelligence" (MAI-XAI 24) Message-ID: <00AD07E3-55A9-4C41-96D0-89C86B77E345@techfak.uni-bielefeld.de> * Apologies for cross-postings * Dear Colleagues, We are organizing the 1st Workshop on "Multimodal, Affective and Interactive eXplainable AI" (MAI-XAI 24) to be held as part of the next ECAI 2024 conference, October 19-20, 2024, Santiago de Compostela, Spain. All details about the workshop are at: https://sites.google.com/view/mai-xai24/home The aim of this workshop is to offer an opportunity for researchers and practitioners to identify new promising research directions on XAI and to provide a forum to disseminate and discuss, with special attention to multimodal, affective and interactive XAI. The workshop is made up of three tracks: Multimodal XAI is concerned with building and validating multi-modal resources that contribute to the generation and evaluation of effective multi-modal explanations. Attendants are encouraged to present case studies in real-world applications where XAI has been successfully applied, emphasizing the practical benefits and challenges encountered. Affective XAI concerns challenges, opportunities and solutions for applying explainable machine learning algorithms in affective computing (known also as artificial emotional intelligence), and refers to machine systems that sense, recognize, respond to and influence emotions. Interactive XAI poses the question of how to achieve, improve and measure users? understanding and ability to operate effectively at the center of the XAI process as a basis to dynamically and interactively adapt the explanation to users? needs and level of understanding. The topics of interest include (but are not limited to): MULTIMODAL XAI XAI for Multi-modal Data Retrieval, Collection, Augmentation, Generation and Validation: from data explainability to understanding and mitigating data bias. XAI for Human-Computer Interaction (HCI): from Explanatory User Interfaces to interactive and interpretable machine learning approaches with human-in-the-loop. Augmented Reality for Multi-modal XAI. XAI approaches leveraging application-specific domain knowledge: from concepts to large knowledge repositories (ontologies) and corpus. Design and Validation of Multi-modal explainers: from endowing explainable models with multi-modal explanation interfaces to measuring model explainability and evaluating quality of XAI systems. Quantifying XAI: from defining metrics and methodologies to assess the effectiveness of explanations in enhancing user understanding and trust. Large knowledge bases and graphs that can be used for Multi-modal Explanation generation. Large language models and their generative power for Multi-modal XAI. Proof-of-concepts and demonstrators of how to integrate effective and efficient XAI into real-world human decision-making processes. Ethical, Legal, Socio-Economic, and Cultural (ELSEC) Considerations in XAI: Examining ethical implications surrounding the use of high-risk AI applications, including potential biases and the responsible deployment of sustainable ?green? AI in sensitive domains. AFFECTIVE XAI Explainable Affective Computing in Healthcare, Psychology and Physiology Explainable Affective Computing in Education, Entertainment and Gaming Privacy, Fairness and Ethical considerations in Affective Computing and Explainable AI applied in Affective Computing Bias in Affective Computing and Explainable AI applied in Affective Computing Multimodal (textual, visual, vocal, physiological) Emotion Recognition Systems User environments for the design of systems to better detect and classify affect Sentiment Analysis and Explainability Social Robots and Explainability Emotion Aware Recommender Systems Accuracy in Emotion Recognition and Explainable AI applied in Affective Computing Affective Design Machine learning using biometric data to classify biosignals Virtual Reality in Affective Computing Human-computer interaction (HCI) and human in the loop (HITL) approaches in Affective Computing INTERACTIVE XAI Dialogue-based approaches to XAI Use of multiple modalities in XAI systems Approaches to dynamically adapt explainability in interaction with a user XAI approaches that use a model of the partner to adapt explanations Methods to measure and evaluate the understanding of the users of a model Methods to measure and evaluate the ability to use models effectively in downstream tasks Interactive methods by which a system and a user can negotiate what is to be explained Modelling the social functions and aspects of an explanation Methods to identify a user?s information and explainability needs Papers submitted to the ECAI main track and are under review for the conference cannot be submitted to the workshop. If rejected from ECAI, authors can submit a request for their paper to be considered for the workshop by 11 July 2024 to one of the emails from the Contact organizers. Notification on those submissions will be sent by 18 July 2024. Accepted manuscripts for the XAI-MAI 24 workshop will be published in CEUR Workshop Proceedings (CEUR-WS.org ). Papers must be written in English, be prepared for double-blind review using the CEUR-WS template . The following types of submissions are allowed: Regular/Long Papers (10 - 15 pages): describing substantial/mature work Short Papers (5 - 9 pages): describing work in progress, a demonstration, system etc. Submissions are made through the Easychair website (https://easychair.org/my/conference?conf=maixai24). Registering an abstract of your paper (of around 100-300 words in plain text) is required in advance of the paper submission deadline and you will be asked to provide additional information (such as keywords) at that time. The workshop is planned as an in-person event. Each accepted paper will get assigned either an oral presentation slot or a combined poster/spotlight presentation slot. Important Dates (all times are 23:59 Anywhere on Earth, UTC-12): Abstract submission: May 8th, 2024 Paper submission: May 15th, 2024 Acceptance/rejection notification: July 1st, 2024 Camera-ready paper submission: July 26th, 2024 Conference dates: October 19-24, 2024 (The MAI-XAI 24 Workshop will take place by October 19-20, 2024) Organizing Committee: Jose M. Alonso-Moral, Universidade de Santiago de Compostela, CiTIUS-USC, Spain Zach Anthis, Neapolis University Paphos, Cyprus Rafael Berlanga, Universitat Jaume I (UJI), Spain Alejandro Catal?, Universidade de Santiago de Compostela, CiTIUS-USC, Spain Philipp Cimiano, Bielefeld University, Germany Peter Flach, University of Bristol, UK Eyke H?llermeier, LMU Munich, Germany Tim Miller, University of Queensland, Australia Oana Mitru?, National University of Science and Technology POLITEHNICA of Bucharest, Romania Gabriela Moise, Petroleum-Gas University of Ploiesti, Romania Alin Moldoveanu, National University of Science and Technology POLITEHNICA of Bucharest, Romania Florica Moldoveanu, National University of Science and Technology POLITEHNICA of Bucharest, Romania Kacper Sokol, ETH Zurich, Switzerland Aitor Soroa, Universidad del Pa?s Vasco, HiTZ, Spain Contact details: Jose M. Alonso-Moral, https://citius.gal/es/team/jose-maria-alonso-moral Philipp Cimiano, https://ekvv.uni-bielefeld.de/pers_publ/publ/PersonDetail.jsp?personId=15020699&lang=EN Zach Anthis, https://www.nup.ac.cy/faculty/zach-anthis/ Oana Mitru?, oana.balan at upb.ro Prof. Dr. Philipp Cimiano AG Semantic Computing Coordinator of the Cognitive Interaction Technology Center (CITEC) Co-Director of the Joint Artificial Intelligence Institute (JAII) Universit?t Bielefeld Tel: +49 521 106 12249 Fax: +49 521 106 6560 Mail: cimiano at cit-ec.uni-bielefeld.de Personal Zoom Room: https://uni-bielefeld.zoom-x.de/my/pcimiano Office CITEC-2.307 Universit?tsstr. 21-25 33615 Bielefeld, NRW Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Mon Apr 15 08:35:56 2024 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 15 Apr 2024 14:35:56 +0200 Subject: Connectionists: Share Your Expertise: Submit Your Work at COMPLEX NETWORKS 2024 in Istanbul Message-ID: 13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 You are cordially invited to submit your contribution until *September 03, 2024*. *SPEAKERS* ? Federico Battiston Central European University, Austria ? Tina Eliassi-Rad Northeastern University, USA ? Frank Emmert-Streib Tampere University, Finland ? Filippo Menczer Indiana University, USA ? Luciano Pietronero University of Rome, Italy *TUTORIALS (December 09, 2024)* ? Alessandro Galeazzi University of Padova, Italy ? Clara Stegehuis Twente University, The Netherlands *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o PLOS Complex Systems edited by PLOS . o PLOS One edited by PLOS o Applied Network Science edited by Springer Nature o Social Network Analysis and Mining edited by Springer Nature o Entropy edited by MDPI o Advances in Complex Systems edited by World Scientific o Complex Systems Journal *SUBMISSION:* *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) *PROGRAM CHAIRS* Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey) Join us at COMPLEX NETWORKS 2024 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems Founding & Adisory Editor Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From rayyes.r at gmail.com Mon Apr 15 10:37:35 2024 From: rayyes.r at gmail.com (Rania Rayyes) Date: Mon, 15 Apr 2024 16:37:35 +0200 Subject: Connectionists: PhD Position in Robot Learning at KIT, Germany Message-ID: For the department "Robotics and AI" of the Institute of Material Handling and Logistics (IFL) at the Karlsruhe Institute of Technology (KIT), and in cooperation with "InnovationsCampus Mobilit?t der Zukunft" (ICM), we are looking for full-time academic staff (100 %) available immediately, up to 5 years, 100% TV-L, E 13. The research in the AI & Robotics group focuses on developing novel AI systems for real robot applications for manipulation tasks, e.g., grasping, pin-picking - Autonomous Robot Learning: active learning, lifelong learning, intrinsic motivation - Human-Robot Learning: imitation learning, interactive learning *Qualifications:* - You have a very good degree (diploma/master's degree) in computer science, mechatronics, mechanical engineering, industrial engineering, or a comparable field - You have very good programming skills (e.g., Python, C++) - You have a previous experience in hardware-related programming of robots (e.g. with ROS) - *(Deep) Reinforcement Learning*background is plus - Your profile: highly motivated, independent with a high level of personal responsibility, good communication, and teamwork skills *What we offer:* - Close cooperation with other institutes, universities, and numerous industrial partners - Self-determined development environment for own research topics with active support for the doctorate research project - Flexible working hours - Work in a young, interdisciplinary research team *Application:* Please send your application in the form of*ONE SINGLE PDF* and named as follow *your NAME_AIR_04.pdf* incl: (Motivation letter, CV, certificate, transcripts, state any previous robotics experience) by e-mail to: application-air at ifl.kit.edu *Questions: * application-air at ifl.kit.edu *Deadline: **15.05.2024* More detatils: https://www.ifl.kit.edu/5026_5764.php --- Jun.-Prof. Dr.-Ing. Rania Rayyes Head AI & Robotics Group Karlsruher Institut f?r Technologie (KIT) Institut f?r F?rdertechnik und Logistiksysteme (IFL) InnovationsCampus Mobilit?t der Zukunft (ICM) Geb?ude 50.38, Gotthard-Franz-Stra?e 8, 76131 Karlsruhe -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonio.cina at unige.it Tue Apr 16 03:31:27 2024 From: antonio.cina at unige.it (=?utf-8?B?QW50b25pbyBDaW7DoA==?=) Date: Tue, 16 Apr 2024 07:31:27 +0000 Subject: Connectionists: ICMLA 2024 Workshop CFP - Human Aligned AI: Towards Algorithms that Humans Can Trust Message-ID: <7A7204FC-BDE4-4A85-8115-FB5F285DFE39@unige.it> [Apologies if you receive multiple copies of this CFP] Call for papers: Workshop on "Human Aligned AI: Towards Algorithms that Humans Can Trust" at ICMLA 2024 - https://www.icmla-conference.org/icmla24/workshops.html Accepted papers will be included in the main conference proceedings. International Conference on Machine Learning and Applications (ICMLA 2024). 18-20 December 2024, Miami, Florida, USA - https://www.icmla-conference.org/icmla24/ DESCRIPTION: The rapid advancement of Artificial Intelligence (AI) brings forth critical considerations for its trustworthiness, including safety and security, fairness, privacy, and explainability, demanding a human-aligned approach. This workshop discusses the imperative for embedding these principles in the design and deployment of AI systems to ensure they align with human values and societal norms. We examine the challenges and strategies towards developing trustworthy AI, preventing unintended consequences, and addressing potential security vulnerabilities. Furthermore, we argue the necessity for a framework for the responsible development of AI, advocating for interdisciplinary collaboration and regulatory oversight. The goal is to foster AI technologies that enhance human well-being, uphold privacy and dignity, and contribute to a secure and equitable future. TOPICS OF INTEREST: Trustworthy AI - Adversarial attacks and defenses on machine learning and deep learning - Formal verification of machine learning and deep learning models - Privacy-preserving machine learning and deep learning - Explainability and Fairness - Theoretical foundations of Human Aligned AI Applications of Trustworthy AI - Generative AI - Healthcare - Cybersecurity - Transportation - Robotics - Industry SUBMISSION: Prospective authors must submit their paper through the ICMLA portal following the instructions provided in https://www.icmla-conference.org/icmla24/howtosubmit.html selecting "Workshop: Human Aligned AI: Towards Algorithms that Humans Can Trust". Each paper will undergo a peer-reviewing process for its acceptance. IMPORTANT DATES: Submission of papers: 31 July 2024 Notification of acceptance: 31 August 2024 ICMLA conference: 18-20 December 2024 https://www.icmla-conference.org/icmla24/keydates.html SPECIAL SESSION ORGANISERS: Luca Oneto, University of Genoa Battista Biggio, University of Cagliari Noemi Greco, Google Davide Anguita, University of Genoa Fabio Roli, University of Genoa Maura Pintor, University of Cagliari Luca Demetrio, University of Genoa Antonio Emanuele Cin?, University of Genoa Ambra Demontis, University of Cagliari ACKNOWLEDGEMENTS: ELSA Project https://www.elsa-ai.eu/ Antonio Emanuele Cin? Assistant Professor @ University of Genoa, DIBRIS Via All'Opera Pia, 13, 16145 Genova GE -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4384 bytes Desc: not available URL: From triesch at fias.uni-frankfurt.de Tue Apr 16 04:14:49 2024 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Tue, 16 Apr 2024 10:14:49 +0200 Subject: Connectionists: Sabine Hunnius speaking on April 18 in Developing Minds global online lecture series Message-ID: Dear colleagues, On April 18, the Developing Minds global online lecture series is proud to host Sabine Hunnius from the Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands, speaking on: "Early cognitive development: Five lessons from infant learning? The live event will take place via zoom at: Thursday, April 18, 2024 10:00 am EST (Eastern Daylight Time, US) 14:00 UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/6960577736?omn=68624649565 Meeting-ID: 696 057 7736 Abstract Young children develop at a breath-taking rate. Within just a few years, they change from a helpless newborn into a school-ready child who has all the abilities and skills needed to start formal education. In my talk, I will discuss five fundamental principles of infant learning to better comprehend how such rapid cognitive development is at all possible. Firstly, infants come into this world equipped to learn. From early on, they are sensitive to statistical information in their environment and readily detect and retain statistical structures they observe. Secondly, infants use this information to build predictive models of the world. Moreover, they are able to continuously and flexibly update these models in light of new information. Thirdly, infant learning can be so fast and effective, as it is supported by early-existing attentional biases. Infants allocate attention to and preferably explore stimuli that are informative. Fourthly, adult interaction partners play a crucial role in creating ideal learning opportunities for infants by skillfully adapting their behavior to the infants' attentional preferences and learning capabilities. Lastly, infants' learning is influenced by the development of their bodies and brains, which modifies how they engage with their environment. As such, their early learning changes the way they learn later, providing them with new learning experiences. In summary, the intricate interplay of infants' basic learning mechanisms, attentional and exploration biases, and social exchanges gives rise to the astonishing developmental changes observed in early childhood. Short Bio: Sabine Hunnius is Director of the Baby & Child Research Center in Nijmegen and Professor of Developmental Cognitive Neuroscience at Radboud University. Her research focuses on early cognitive and social-cognitive development. Her aim is to understand the initial makeup of the human mind and the information processing and learning mechanisms infants are equipped with. Ultimately, she strives to understand the complex interconnection between infants' learning mechanisms and their social interactions, aiming to gain insight into the fundamental processes underlying early childhood development. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From hans.ekkehard.plesser at nmbu.no Tue Apr 16 04:50:35 2024 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 16 Apr 2024 08:50:35 +0000 Subject: Connectionists: NEST Conference 2024 - Extension of abstract submission deadline Message-ID: Dear all, The abstract submission deadline for the NEST Conference 2024 has been extended to 30 April. We are looking forward to your contributions! The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Monday/Tuesday 17/18 June 2024. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference Important dates 26 April 2024 - Deadline for NEST Initiative membership applications eligible for fee reduction 30 April 2024 - Extended deadline for submission of contributions 08 May 2024 - Notification of acceptance 07 June 2024 - Registration deadline 17 June 2024 - NEST Conference 2024 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Tue Apr 16 04:57:40 2024 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 16 Apr 2024 10:57:40 +0200 Subject: Connectionists: [ASONAM] Urgent: Extension of Research Track Submission Deadline Message-ID: Call for Contributions The 16th International Conference on Advances in Social Networks Analysis and Mining - ASONAM 2024 https://asonam.cpsc.ucalgary.ca/ University of Calabria, Rende (CS), Italy, September 2-5, 2024. KEY DATES (all at 23:59 AoE): - Research Track - Submission deadline: April 30 - Tutorials, Industrial, Multidisciplinary, Demos, and PhD Forum Tracks - Submission deadline: May 10 - Acceptance notification (all but workshops): June 19 - Camera ready and Author Registration (all but workshops): July 11 - Workshop proposals submission deadline: March 20 - Workshop proposals notification: April 10 - Workshop paper submission deadline: June 10 - Workshop paper notification: July 10 - Workshop paper camera ready and author registration: July 18 - Tutorial day: September 2 - Conference and Tracks days: September 2-5 The 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM) provides an interdisciplinary forum to bring together researchers and practitioners from all fields related to Social Networking Analysis and Mining. The conference is a venue for presenting original research results, as well as discussing and disseminating innovative and practical development experiences. ASONAM 2024 seeks to address important problems through the scientific investigation of socio-technical systems, the development of fundamental technologies, and the study of emerging applications associated with social networking analysis and mining. To fully embrace the fast-growing and vigorously dynamic landscape of social networks and their applications, ASONAM is eager to consider any breakthroughs in social network analysis and mining in the broadest possible sense. General areas of interest include three major aspects: * Social and media analysis (e.g., data science, communications, economics, sociology, psychology, anthropology, applied linguistics, etc.) * Network science (e.g., mathematical models, theory, algorithms, etc.) * Machine Learning and AI applied to social networks (e.g., graph neural networks, representation learning, etc.) * Technology and applications (e.g., systems, tools, crowdsourcing, etc.) We welcome submissions on different tracks: - Research Track ( https://easychair.org/conferences/?conf=researchtasonam2024): original research work within the scope of the conference. - Industrial Track ( https://easychair.org/conferences/?conf=industrialtasonam202): contributions showcasing original results obtained in an industrial environment or having clear industry relevance. - Exhibits and Demos ( https://easychair.org/conferences/?conf=demostasonam2024): novel research prototypes or operational systems. - PhD Forum and Posters Track ( https://easychair.org/conferences/?conf=phdtasonam2024): work-in-progress led by PhD students. More mature work led by graduate students is also welcome in this track. - Multidisciplinary Track ( https://easychair.org/conferences/?conf=multidisciplinarytas0): mostly extended abstract submissions meant to disseminate research from all disciplines. Full paper submissions are also welcome. In addition, we welcome contributions to shape the conference program through satellite workshops and tutorials: - Workshop proposals: https://easychair.org/conferences/?conf=workshopsasonam2024 - Tutorial proposals: https://easychair.org/conferences/?conf=tutorialstasonam2024 The ASONAM 2024 Organizing Committee Andrea Tagarelli, Roberto Interdonato, Jon Rokne (General co-chairs) Luca Maria Aiello, Tanmoy Chakraborty, Sabrina Gaito (Program co-chairs) -------------- next part -------------- An HTML attachment was scrubbed... URL: From paolo.dini at cttc.es Tue Apr 16 05:47:23 2024 From: paolo.dini at cttc.es (Paolo Dini) Date: Tue, 16 Apr 2024 11:47:23 +0200 Subject: Connectionists: Data challenge launched by EU-MSCA-GREENEDGE Message-ID: <7fcad35d-5ffc-41d1-8730-7dfcc24e06f6@cttc.es> Dear colleagues, it is my pleasure to announce the opening of the GREENEDGE contest. It features three possible research lines: *1) Cybersecurity:*??Cyber Threats Detection through Network Energy Consumption Analysis? *2) Image Classification:*??Energy Aware Image Classification? *3) Internet of Things:*??Energy Efficient IoT Networks?. The lines deal with topics related to the GREENEDGE core mission, i.e., to devise energy-efficient tools for computing in networks. *BS, MS level and PhD students are invited to participate in the challenge.* The submitted projects will undergo an evaluation by a team of scientists from the GREENEDGE consortium. The winners will be invited to participate in the final GREENEDGE workshop where they will present their work and will receive a prize. The final workshop will be co-located with SofCom2024 international conference and will take place end of September 2024 in Croatia (detailed instructions will follow in a second stage). *Subscription deadline: May 15, 2024.*?? More details are available in the GREENEDGE website: https://greenedge-itn.eu/contest/ For any question, please do not hesitate to contact me. Best regards, -- *Paolo Dini* Researcher (R4) ** Sustainable Artificial Intelligence (SAI) research unit Centre Tecnol?gic de Telecomunicacions de Catalunya (CTTC) Av. Carl Friedrich Gauss, 7 - Building B4 08860 - Castelldefels Tel.: +34 93 645 29 00 _DATA PROTECTION INFORMATION. Data controller: CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (G62616586):_ We inform you that your identification data and the data contained in the emails and attached files can be incorporated into our databases, in order to maintain professional and / or commercial relationships, and that it will be preserved throughout the relationship. According to the current regulations, you can exercise your right to access, rectification, erasure, restriction of processing, to portability and to object by sending an email to dpo at cttc.cat. This message and any attached document, where appropriate, may be confidential and intended for the original recipient only. L'informem que les seves dades identificatives i les compreses als correus electr?nics i fitxers adjunts poden ser incorporades a les nostres bases de dades amb la finalitat de mantenir relacions professionals i/o comercials i, que seran conservades mentre es mantingui aquesta relaci?. Si ho desitja, pot exercir el seu dret d'acc?s, rectificaci?, supressi?, limitaci? del tractament, portabilitat i objecci? enviant un correu electr?nic a dpo at cttc.cat. Aquest missatge i qualsevol document adjunt, en el seu cas, pot ser confidencial i destinat ?nicament a la persona o entitat a qui s'hagi enviat. Before printing this e-mail or attachments, be sure it is necessary. It is in our hands to protect the environment. -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Tue Apr 16 05:41:00 2024 From: efipatm at gmail.com (Efi) Date: Tue, 16 Apr 2024 02:41:00 -0700 Subject: Connectionists: CFP - Big Visual Data Analytics (BVDA) Workshop at ICIP, 27-30 October 2024, Abu Dhabi, UAE Message-ID: *CALL FOR PAPERS* *Big Visual Data Analytics (BVDA) Workshop** at **ICIP 2024* *IEEE International Conference on Image Processing, 27-30 October 2024, Abu Dhabi, UAE* We invite researchers and practitioners working on various aspects of *big visual data analytics* to submit their work to the *Big Visual Data Analytics (BVDA) Workshop*, organized in conjunction with the* IEEE International Conference on Image Processing (ICIP) 2024. *The ever-increasing visual data availability leads to repositories or streams characterized by big data volumes, velocity (acquisition and processing speed), variety (e.g., RGB or RGB-D or hyperspectral images) and complexity (e.g., video data and point clouds). Their processing necessitates novel and advanced visual analysis methods, in order to unlock their potential across diverse domains. The *BVDA Workshop* aims to explore this rapidly evolving field encompassing cutting-edge methods, emerging applications, and significant challenges in extracting meaning and value from large-scale visual datasets. From high-throughput biomedical imaging and autonomous driving sensors to satellite imagery and social media platforms, visual data has permeated nearly every aspect of our lives. Analyzing this data effectively requires efficient tools that go beyond traditional methods, leveraging advancements in machine learning, computer vision and data science. Exciting new developments in these fields are already paving the way for *fully and semi-automated visual data analysis workflows at an unprecedented scale.* This workshop will provide a platform for researchers and practitioners to discuss recent breakthroughs and challenges in big visual data analytics, explore novel applications across diverse domains (e.g., environment monitoring, natural disaster management, robotics, urban planning, healthcare, etc.), as well as for fostering interdisciplinary collaborations between computer vision, data science, machine learning, and domain experts. Its ultimate goal is to help identify promising research directions and pave the way for future innovations. The BVDA Workshop delves deeper into specific aspects of big visual data, complementing the broader ICIP themes. Thus it can generate new research interest and collaborations within the main conference community, while attracting researchers and practitioners specifically interested in big visual data analytics. Its interdisciplinary nature, its focus on cutting-edge areas (e.g., large Vision-Language Models, distributed deep neural architectures, fast generative models, etc.) and its synergies with neighboring fields (e.g., privacy-preserving analytics, real-time visual analytics, ethical considerations, etc.) broaden the discussion. *Topics of interest* include (non-exhaustively) the following ones: - Scalable algorithms and architectures for big visual data processing and analysis. - High-performance computing, distributed and parallel processing, efficient data storage and retrieval for big visual data analysis. - Deep learning architectures for large-scale visual content understanding, search & retrieval: Convolutional Neural Networks (CNNs), Transformers, Self-Supervised Learning, etc. - Big visual data summarization. - Decentralized/distributed DNN architectures for big visual data analysis. - Cloud/edge computing architectures for big visual data analysis. - Multimodal big visual data analysis. - Large Vision-Language Models/Foundation Models. - Fast generative models for visual data: Synthesizing realistic images/videos, data augmentation, in-painting and manipulation. - Fast Interpretability and eXplainability (XAI) of visual analytics models: Understanding and communicating model decisions, trust and bias in AI systems. - Privacy-preserving analytics in the context of big visual data: Secure data processing, differential privacy, federated learning. - Visual analytics for real-time applications: Efficient analysis of visual streaming data, edge/fog computing. - Visual analytics for specialized domains: Remote sensing, natural disaster management, medical imaging, social media analysis, etc. - Ethical considerations in big visual data analytics: Data ownership, fairness, accountability, societal impact. The regular ICIP paper template/style must be used for submission. All accepted contributions will be *published in IEEE Xplore*. The paper submission deadline is *May 9*, *2024*. *For further details and submission instructions visit: * https://icarus.csd.auth.gr/cfp-bvda-icip24-workshop/ Organizers Prof. Ioannis Pitas: Chair of the International AI Doctoral Academy (AIDA ), Director of the Artificial Intelligence and Information analysis (AIIA ) Lab, Aristotle University of Thessaloniki, Greece. Prof. Massimo Villari: University of Messina, Italy. Dr. Ioannis Mademlis: Postdoctoral researcher at the Harokopio University of Athens -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Apr 16 10:03:02 2024 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 16 Apr 2024 17:03:02 +0300 Subject: Connectionists: REMINDER: World wide VVTNS series: Wednesday, April 17 at 11am (EDT), Tim O'Leary University of Cambridge|Flip flops and toggles for effective decision making in neural circuits In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Tim O'Leary University of Cambridge on the topic of "Flip flops and toggles for effective decision making in neural circuits*"* The lecture will be held on zoom on *April 17, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Neural computation is inextricably bound to decisions that must be made under time pressure and uncertainty. At the level of neural circuits, single neurons need to decide whether to spike. On longer timescales, the component circuitry needs to decide whether to reconfigure to store memories and adapt to novel situations. In this talk I will focus on two fun ideas in each of these contexts by showing how nonlinearities in neural components naturally form excitable switches that enable reliable decisions to be made in fluctuating environments. I will also issue propaganda that the kind of high level, cognitive faculties that we normally associate with decision making apply equally well and are understudied at the level of neural and synaptic populations. -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From akirapunk at gmail.com Tue Apr 16 18:53:49 2024 From: akirapunk at gmail.com (Nicola Catenacci) Date: Tue, 16 Apr 2024 23:53:49 +0100 Subject: Connectionists: PhD in Machine Learning, Decision-making and Stochastic Control at the University of Hertfordshire, UK Message-ID: [Apologies for multiple posts; please distribute to interested people!] We are looking for applicants for a fully funded PhD (?19,632 per annum bursary plus the payment of the student fees) in the areas of Machine Learning, Decision-making and Stochastic Control at the Computer Science Department of the University of Hertfordshire, United Kingdom. **PhD Project** Recent advancements in Artificial Intelligence (AI) have resolved challenges once deemed insurmountable just a decade ago. The integration of machine learning, decision-making, and stochastic control is central to this breakthrough. This project will push the boundaries of *Continual Reinforcement Learning* by investigating how agents can continuously learn and adapt over time, how they can autonomously develop and flexibly apply an ever-expanding repertoire of skills across various tasks, and what representations allow them to do this efficiently. Addressing these questions is crucial for creating AI systems that, despite limited computational resources, can sustain autonomous learning and adaptation in ever-changing environments.The selected candidate will have the opportunity to master and contribute to the cutting-edge techniques in deep reinforcement learning, incorporating principles from probabilistic machine learning, such as information theory, intrinsic motivation, and open-ended learning frameworks. The project will employ computer games as benchmarking tools and/or apply its findings to robotic systems (in simulations or on real-world platforms), including manipulators, intelligent autonomous vehicles, and humanoid robots. This PhD project offers a unique chance to explore some of the most profound and fascinating questions in AI today, providing the opportunity to make a significant contribution to a field at the forefront of AI research. **Requirements** We are looking for a student with genuine interest in Artificial Intelligence. A background in computer science, engineering or mathematics, together with solid programming skills, are essential requirements. Experience in reinforcement learning, deep learning or robotics are not mandatory but desirable, and will be considered a plus during the selection process. The applicant will be expected to disseminate their work publishing scientific articles and/or participating at international conferences. To be fluent in English is mandatory. **Where** The PhD will take place in the Adaptive System research group of the Computer Science department of the University of Hertfordshire, United Kingdom. The group is specialised in probabilistic approaches to Artificial Intelligence, used for a wide range of applications such as robotics, video-games and cognitive modelling. According to the Research Excellence Framework 2021, the University of Hertfordshire is ranked in the top 25% of all UK universities for research impact and research in Computer Science has been recognised as excellent, with 90% of the research submitted and all of the research impact rated as internationally excellent or world leading. The University of Hertfordshire has ranked second in the UK 2023 Postgraduate Taught Experience survey, providing a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just 25 minutes by train to London. **How to Apply** The application must be done following the procedure indicated in this website: https://www.herts.ac.uk/study/schools-of-study/physics-engineering-and-computer-science/engineering-and-computer-science/research-in-engineering-and-computer-science/the-phd-programme-in-computer-science Interested applicants may want to contact Dr. Nicola Catenacci Volpi ( n.catenacci-volpi at herts.ac.uk) to discuss the project, the PhD program at the University of Hertfordshire and details about the application process. **Deadline** 1/5/2024 *-----------------------------------* Dr. Nicola Catenacci Volpi, PhD Research Fellow in Information Theory for AI & Robotics Adaptive Systems Research Group The University of Hertfordshire Department of Computer Science College Lane Hatfield, Hertfordshire AL10 9AB United Kingdom E-mail: n.catenacci-volpi at herts.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro.antonucci at idsia.ch Wed Apr 17 03:28:43 2024 From: alessandro.antonucci at idsia.ch (Antonucci Alessandro) Date: Wed, 17 Apr 2024 07:28:43 +0000 Subject: Connectionists: PhD @Idsia in Counterfactual Fairness and Causal Explainability Message-ID: Ph.D. Position @Idsia in the area of Counterfactual Fairness and Causal Explainability Deadline: April 29, 2024 The Dalle Molle Institute for Artificial Intelligence (IDSIA, idsia.ch) of Lugano (Switzerland) has an open position for a PhD student. This is a full-time (100%) position for a student active in the area of Counterfactual Fairness and Causal Explainability. The PhD research focuses on the fairness, explainability, and robustness of machine learning systems within the framework of causal counterfactual analysis using formalisms from probabilistic graphical models, probabilistic circuits, and structural causal models. The successful candidate holds a Master's degree in Engineering or another STEM field (obtained or close to being obtained). Experience with Pytorch and proficiency in Python are optional but desirable skills. The starting date is June 2024 (or as can be arranged by mutual agreement). For further information, please contact Alessandro Antonucci (alessandro at idsia.ch) and Alessandro Facchini (alessandro.facchini at idsia.ch). The link for the application is https://www.supsi.ch/en/bando2008. Applications should be submitted by April 29th, 2024. From tarek.besold at googlemail.com Wed Apr 17 03:59:49 2024 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Wed, 17 Apr 2024 09:59:49 +0200 Subject: Connectionists: Neural-Symbolic Learning and Reasoning (NeSy) 2024: 4 days left for full-paper abstract submission Message-ID: 18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy 2024) ===== TL;DR ===== Dates: September 9-12, 2024 Location: Barcelona, Catalonia, Spain Website: https://sites.google.com/view/nesy2024 Full paper abstract submission (extended): April 21, 2024 Full paper manuscript submission (extended): April 26, 2024 Late/short paper submission (extended): May 12, 2024 ===== NeSy 2024 ===== Following the almost 20 years of success of NeSy, the series of International Workshops on Neural-Symbolic Learning and Reasoning (http://www.neural-symbolic.org), in 2024 NeSy will return as the 18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy 2024), held in Barcelona (Catalonia, Spain) from September 9-12, 2024. NeSy continues to be the premier annual meeting point of the research community working on neurosymbolic integration, combining symbolic and subsymbolic approaches to learning and reasoning in AI systems. In 2024, NeSy hosts special tracks on Explainable AI and Generative AI. See the conference website (https://sites.google.com/view/nesy2024) for details. ===== Relevant Dates ===== Full paper abstract deadline: April 21, 2024 Full paper submission: April 26, 2024 Author notification: June 7, 2024 Camera-ready papers: June 21, 2024 Late/short paper submission: May 12, 2024 Author notifications: June 14, 2024 Camera-ready papers: June 21, 2024 ===== Proceedings ===== The proceedings of NeSy 2024 will be published by Springer LNCS. See the conference website (https://sites.google.com/view/nesy2024) for detailed formatting and submission instructions. ===== Organizing Committee ===== General/Local Chair: + Tarek R. Besold (Sony AI, Barcelona) Program Chairs: + Ernesto Jimenez Ruiz (City, University of London) + Artur d'Avila Garcez (City, University of London) + Tarek R. Besold (Sony AI, Barcelona) Explainable AI Special Track Chairs: + Benedikt Wagner (City, University of London) + Roberto Confalonieri (University of Padova) Generative AI Special Track Chair: + Pranava Madhyastha (City, University of London) From zfalomir at gmail.com Wed Apr 17 04:12:50 2024 From: zfalomir at gmail.com (Zoe Falomir) Date: Wed, 17 Apr 2024 10:12:50 +0200 Subject: Connectionists: [Jobs] 2 PhD positions Message-ID: <513B3416-0126-4E4B-9FE5-45290608E6EC@gmail.com> 2 Phd positions in Computing Science with focus on Interactive Systems that Reason Spatially They are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden?s largest individual research program ever, a major national initiative for strategically motivated basic research, education, and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information, and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems, and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyse, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program including study trips together with other PhD students to USA/Asia to visit other research labs/industries, allowing research visits to foreign Universities, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers, and industry. Read more: https://wasp-sweden.org/graduate-school Ume? University is one of Sweden?s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Ume? University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. If you love and feel competent with any of these: 1.) interactive systems and/or interactive interfaces 2.) automated reasoning 3.) machine learning then, please check out the available positions at: https://umu.varbi.com/what:job/jobID:719275/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From erik.billing at his.se Wed Apr 17 08:39:08 2024 From: erik.billing at his.se (Erik Billing) Date: Wed, 17 Apr 2024 12:39:08 +0000 Subject: Connectionists: SweCog 2024 conference in Stockholm, October 10 to 11: Call for Participation Message-ID: <784AEB7D-15EA-416D-8314-0BC212BF066A@his.se> Dear Connectionists subscribers! SweCog is a series of conferences covering the wide spectrum of topics around cognitive science, including cognitive neuroscience, cognitive psychology, artificial intelligence, linguistics, and anthropology. The 19?th SweCog conference will be held in Stockholm, Thursday October 10th and Friday October 11th 2024! I?m happy to announce that the call for participation is now published, welcoming contributions in the form of abstracts and short papers covering all areas of cognitive science. Submission deadline is June 14?th. As usual, the SweCog conference is free of charge and this year we are opening up for more international attendance. Most welcome with your submission! More details and registration at http://swecog.se/conference! Feel free to forward this invitation to anyone who might be interested. Invited speakers [https://swecog.se/img/speakers/2024_chait.jpg] Maria Chait, Professor, University College London From survival in the wild to music enjoyment - how the human brain discovers structure in sound sequences [https://swecog.se/img/speakers/2024_doeller.jpg] Christian Doeller, Professor, Max Planck Institute Structuring experience in cognitive spaces [https://swecog.se/img/speakers/2024_wikforss.jpg] ?sa Wikforss, Professor, Stockholm University Cognition and the social dimensions of knowledge Important dates 2024-06-14 Submission deadline for abstracts and short papers 2024-08-30 Response from reviewers 2024-09-25 Submission deadline for revised camera-ready abstracts and short papers 2024-09-25 Deadline for registration 2024-10-10 Conference starts Looking forward to see you all this fall! Kind regards, Erik Billing and Jonas Olofsson. [swecog_logo_small_white.png] SWEDISH COGNITIVE SCIENCE SOCIETYinfo at swecog.se -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: swecog_logo_small_white.png Type: image/png Size: 5294 bytes Desc: swecog_logo_small_white.png URL: From sebastien.destercke at hds.utc.fr Thu Apr 18 02:37:47 2024 From: sebastien.destercke at hds.utc.fr (sdesterc) Date: Thu, 18 Apr 2024 07:37:47 +0100 Subject: Connectionists: Next SIPTA virtual seminar: 30th April (3pm Paris time), Christoph Jansen on decision making applied to ML and stat Message-ID: <270226E1-FAD5-4365-882F-A1D607A85A9A@hds.utc.fr> Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 30th of April (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85460316690 For this new seminar, we are very happy to have Christoph Jansen as our speaker. Christoph Jansen is currently a postdoctoral researcher and habilitation candidate at the Department of Statistics of LMU Munich, where he works on decision making in complex and weakly informed systems, with applications to machine learning and statistics. On the 30th of April, at 15:00 paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Decision making under weakly structured information with applications to robust statistics and machine learning?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 30th of April, and join us for the occasion. And for those who missed the previous seminars and want to catch up, or simply want to see them again and again, they are online at https://www.youtube.com/playlist?list=PLXsgvF2_g5Ht-BYPWsSjcunA3SgNiuw51 See you at the seminar! S?bastien, Enrique and Jasper From triesch at fias.uni-frankfurt.de Wed Apr 17 10:50:11 2024 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Wed, 17 Apr 2024 16:50:11 +0200 Subject: Connectionists: Reminder and time clarification: Sabine Hunnius speaking on April 18 in Developing Minds global online lecture series Message-ID: Dear colleagues, On April 18, the Developing Minds global online lecture series is proud to host Sabine Hunnius from the Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands, speaking on: "Early cognitive development: Five lessons from infant learning? The live event will take place via zoom at: Thursday, April 18, 2024 10:00 am EST (Eastern Daylight Time, US) 14:00 UTC (Universal Coordinated Time) *16:00 CEST (Central European Summer Time)* (there was a mixup with the time and CET vs. CEST) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/6960577736?omn=68624649565 Meeting-ID: 696 057 7736 Abstract Young children develop at a breath-taking rate. Within just a few years, they change from a helpless newborn into a school-ready child who has all the abilities and skills needed to start formal education. In my talk, I will discuss five fundamental principles of infant learning to better comprehend how such rapid cognitive development is at all possible. Firstly, infants come into this world equipped to learn. From early on, they are sensitive to statistical information in their environment and readily detect and retain statistical structures they observe. Secondly, infants use this information to build predictive models of the world. Moreover, they are able to continuously and flexibly update these models in light of new information. Thirdly, infant learning can be so fast and effective, as it is supported by early-existing attentional biases. Infants allocate attention to and preferably explore stimuli that are informative. Fourthly, adult interaction partners play a crucial role in creating ideal learning opportunities for infants by skillfully adapting their behavior to the infants' attentional preferences and learning capabilities. Lastly, infants' learning is influenced by the development of their bodies and brains, which modifies how they engage with their environment. As such, their early learning changes the way they learn later, providing them with new learning experiences. In summary, the intricate interplay of infants' basic learning mechanisms, attentional and exploration biases, and social exchanges gives rise to the astonishing developmental changes observed in early childhood. Short Bio: Sabine Hunnius is Director of the Baby & Child Research Center in Nijmegen and Professor of Developmental Cognitive Neuroscience at Radboud University. Her research focuses on early cognitive and social-cognitive development. Her aim is to understand the initial makeup of the human mind and the information processing and learning mechanisms infants are equipped with. Ultimately, she strives to understand the complex interconnection between infants' learning mechanisms and their social interactions, aiming to gain insight into the fundamental processes underlying early childhood development. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From amatra at essex.ac.uk Thu Apr 18 06:56:49 2024 From: amatra at essex.ac.uk (Matran-Fernandez, Ana) Date: Thu, 18 Apr 2024 10:56:49 +0000 Subject: Connectionists: Essex BCI Webinar: Prof Anne-Marie Brouwer - Monitoring attentional engagement though interpersonal physiological synchrony Message-ID: Dear colleagues, As the organiser of the Essex Brain-Computer Interfaces and Neural Engineering (BCI-NE) webinar series, I am emailing to advertise our next online seminar: Prof Anne-Marie Brouwer, whose talk is entitled "Monitoring attentional engagement though interpersonal physiological synchrony" Abstract: Continuous and implicit measures of individuals' attention would be useful for a range of application. Brain responses can tell us about individuals' level and focus of attention, but it is not straightforward to retrieve this information in real life scenarios. In this talk, I will discuss research showing that the degree to which EEG signals vary in a similar way over time between individuals is associated with attentional engagement. Our findings that this also holds for other physiological signals (heart rate and skin conductance), under various real-life or life-like circumstances, and that it predicts subsequent behavior, make interpersonal physiological synchrony a promising marker of attention for applied settings as well as ecologically valid research. Biography: Anne-Marie Brouwer is senior scientist at TNO (Netherlands Organization for Applied Scientific Research, Soesterberg) and part-time full professor 'Mental State Monitoring' at Radboud University/Donders Centre in Nijmegen. Anne-Marie studied experimental psychology in Nijmegen and obtained her PhD on eye-hand coordination research in 2002 at the Erasmus MC in Rotterdam. Following post-docs at the Max Planck Institute in T?bingen and the University of Rochester (NY) she started working at TNO in 2007. Since 2007 her main topic of research is BCI and using brain and other physiological signals as potential sources of information about an individual's cognitive and emotional state. Anne-Marie works on basic research projects for and in collaboration with different parties, such as basic science funds, defense, and food industry. She is dedicated to explore the added value of physiological measures, connecting lab and real life studies, discuss the challenges that still exist and finding ways to cope with these. The seminar will be delivered over Zoom on 24th April, 2pm UK time. A link to join the seminar will be sent to all who sign up at this form shortly before the seminar: https://forms.gle/3GHUbkWiFn7bVKf16 The talk will be recorded and made available in the lab's Youtube channel shortly after. Best wishes, Ana ------------------------ Dr Ana Matran-Fernandez PhD Lecturer in Neural Engineering and Artificial Intelligence Department of Computer Science and Electronic Engineering (CSEE) University of Essex Office: 5B.539 E amatra at essex.ac.uk Email notices: 1) I sometimes write emails outside (your) working hours. Please don't take this as an indication that I require an immediate response - we simply may be working at different times. 2) Because of the daily high load of emails, I may take some time to reply to you. If it's important, I may take even more time, because I want to provide an adequate response. If it's urgent, I'll try to reply quickly and maybe just with a very short email. No disrespect, just trying to be efficient - I'd understand if you did the same. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.communication at fz-juelich.de Thu Apr 18 07:56:14 2024 From: bernstein.communication at fz-juelich.de (Alexander Lammers) Date: Thu, 18 Apr 2024 13:56:14 +0200 Subject: Connectionists: Call for Abstracts for the Bernstein Conference 2024 Message-ID: <91a0664e-88ad-4b39-95fa-42023f935a68@fz-juelich.de> Call for Abstracts for the Bernstein Conference 2024 in Frankfurt am Main +++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks and poster presentations of the Bernstein Conference 2024 in Frankfurt am Main. +++ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 29 ? October 2, 2024 * Deadline for contributed talk abstract submission: June 5, 2024, 15:00 CEST * Deadline for travel grant applications: June 12, 2024, 15:00 CEST * Deadline for poster abstract submission: July 10, 2024, 15:00 CEST ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ TRAVEL GRANTS To support the participation of young researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 ?. Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/travel-grants/ ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Alison Barker (Max Planck Institute for Brain Research, Germany) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Sup?rieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of T?bingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor M?ynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum J?lich GmbH 52425 J?lich Sitz der Gesellschaft: J?lich Eingetragen im Handelsregister des Amtsgerichts D?ren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Gesch?ftsf?hrung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From phitzler at googlemail.com Thu Apr 18 10:38:57 2024 From: phitzler at googlemail.com (Pascal Hitzler) Date: Thu, 18 Apr 2024 09:38:57 -0500 Subject: Connectionists: webinar, Alessandra Mileo, April 23 at 10am (GMT+1) Message-ID: <9a8972c1-0d28-47c6-ba11-96dd56cd9646@googlemail.com> Alessanda Mileo presenting: Deep Learning meets Knowledge Graphs for Semantic Explainability of Deep Neural Networks April 23 at 10am (GMT+1) Second webinar in the Neurosymbolic AI journal webinar series. webinar will be on zoom To register: http://ios.tinyc.co/NAIwebinar Neurosymbolic AI journal: https://neurosymbolic-ai-journal.com Alessandra Mileo: https://www.dcu.ie/computing/people/alessandra-mileo Questions? Best asked on the neurosymbolic community slack - let me know if you'd like to be added to it. Best Regards, Pascal. -- Pascal Hitzler Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science CAIDS Director, Inst. for Digital Agriculture and Adv. Analyt. ID3A Kansas State University http://www.pascal-hitzler.de http://www.daselab.org http://www.semantic-web-journal.net http://k-state.edu/ID3A https://neurosymbolic-ai-journal.com From blextar at gmail.com Fri Apr 19 03:23:06 2024 From: blextar at gmail.com (Luca Rossi) Date: Fri, 19 Apr 2024 15:23:06 +0800 Subject: Connectionists: 2nd CFP S+SSPR 2024 Message-ID: CALL FOR PAPERS IAPR Joint International Workshops on 15th Statistical Techniques in Pattern Recognition (SPR) 20th Structural and Syntactic Pattern Recognition Workshop (SSPR) Time and place: 9-11 September 2024, Venice, Italy Paper submission deadline: 23 June 2024 S+SSPR 2024 is a joint event organized by Technical Committee 1 (Statistical Pattern Recognition Technique) and Technical Committee 2 (Structural and Syntactical Pattern Recognition) of the International Association of Pattern Recognition (IAPR). Authors are invited to submit papers addressing topics in statistical, structural or syntactic pattern recognition and their applications. For list of topics of interest and more details see https://sspr2024.dais.unive.it/ -- Luca Rossi Assistant Professor Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University https://blextar.github.io/luca-rossi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From H.Bilen at ed.ac.uk Fri Apr 19 06:45:46 2024 From: H.Bilen at ed.ac.uk (Hakan Bilen) Date: Fri, 19 Apr 2024 10:45:46 +0000 Subject: Connectionists: [JOB] Postdoc in Efficient Training of Deep Neural Networks @ the University of Edinburgh In-Reply-To: <79BB591E-3690-426E-A31F-D92F61098B3C@ed.ac.uk> References: <79BB591E-3690-426E-A31F-D92F61098B3C@ed.ac.uk> Message-ID: <95AAFC33-FF0B-4BB4-B8E8-2DEA209CF3C1@ed.ac.uk> Greetings colleagues, We are looking for a postdoc to undertake novel research at the efficient deep neural network training in the School of Informatics at the University of Edinburgh. The Topic The goal of this project is to develop novel techniques for training deep neural networks efficiently. This will involve generating data for training, sampling informative samples and designing data-efficient architectures for various vision models, and also vision-language models. Project Team The candidate will be based in Visual Computing Group (https://groups.inf.ed.ac.uk/vico/) and will be supervised by Dr. Hakan Bilen. There will be many collaborative opportunities within the Vision group (https://groups.inf.ed.ac.uk/vision) as well as across the School of Informatics (which includes faculty working on machine learning, computer vision, NLP, speech processing, and social computing) and as well as with the University of Oxford and Bristol. Your skills and attributes for success ? PhD degree (or nearing completion) ? A strong background in machine learning and/or computer vision ? Publications at top venues in CV or/and ML (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML) ? Excellent programming skills in Python, PyTorch, Tensorflow ? Ability to work independently and manage own academic research and associated activities. ? Excellence in written and oral communication, analytical, and time management skills. Location The School of Informatics was ranked #1 in the UK for research power in Computer Science and Informatics Times Higher Education ranking, based on the 2021 Research Excellence Framework (REF). We are one of the top six institutions in Europe for AI according to CSRankings, and the highest-ranked UK institution. The School is an active Unit in the European Laboratory for Learning and Intelligent Systems (ELLIS). Edinburgh is a highly attractive city to live in. It is walkable, enjoys proximity to nature, and features a world-class cultural scene. It was ranked 1st in the 2022 Time-Out Index of the best cities in the world. How to apply Apply before 14th May 2024 This post is full-time (35 hours per week) and fixed term for 12 months (with possibility of extension by another 12 months). Contact details for enquiries: Dr. Hakan Bilen h.bilen at ed.ac.uk https://homepages.inf.ed.ac.uk/hbilen You can find more information about the role, including details on how to apply, here: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/10261 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th? ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From simona.olmi at fi.isc.cnr.it Fri Apr 19 08:33:21 2024 From: simona.olmi at fi.isc.cnr.it (Simona Olmi) Date: Fri, 19 Apr 2024 14:33:21 +0200 Subject: Connectionists: Postdoctoral position in Florerence (Italy) at the Institute for Complex Systems Message-ID: Dear Connectionists group, https://www.urp.cnr.it/system/files/2024-04/bando%20ADR%2003%202024%20ISC%20FI_PNRR_signed.pdf The Institute for Complex Systems at the National Research Council in Florence (Italy) invites applications for a one year Postdoctoral Scholar in the fields of *computational neuroscienc**e*,* complex networks and nonlinear dynamics*. The successful applicant is expected to work closely with a multidisciplinary research team led by Dr. Simona Olmi on problems related to neuroscience. Specific topics of interest include but are not limited to the investigation of biologically realistic large-scale brain activity, the emergence of coupling between neural oscillations in neural architectures, the derivation of neural mass models in presence of short-term synaptic plasticity and/or spike-frequency adaptation as well as applications on brain structural connectivity matrices. Successful candidates are expected to primarily conduct computational and data driven research taking advantage of our international network of experimental collaborators and/or clinical partners. More information about the Computational Neuroscience Group in Florence and our current research is available at https://www.firenze-neuro.org/ Candidates should already have received a PhD in Physics, Mathematics, Engineering before the start of the fellowship. A strong background either in statistical physics, nonlinear dynamics, computational physics and/or in computational neurosciences is required. Solid programming skills in C and/or Fortran and/or Python are mandatory. *Deadline for application: May 20, 2024*. Possible start dates are between July 1, 2024 and September 1, 2024. It is in no way possible to start on a date later than 1 September 1, 2024. The position is for one year and includes an annual stipend of 26.000,00 euros (net salary). The terms of the application and how to apply can be found here: https://www.urp.cnr.it/node/4582 (english version: https://www.urp.cnr.it/system/files/2024-04/bando%20ADR%2003%202024%20ISC%20FI_PNRR_signed.pdf ) Applicants are also encouraged to send in one PDF file their CV with a list of publications, brief statement of research interests and their possible start dates to simona.olmi at cnr.it before May 20 2024. We strive for a diverse and inclusive environment and encourage applications from members of any identity. *About Florence and Institute For Complex Systems (ISC)* The founding idea of the ISC was to create a scientific institution that could represent a national and international pole of excellence in the field of complexity from its origins in physics and also towards its interdisciplinary applications., like in our case, neuroscience. Cradle of the Renaissance, romantic, enchanting and utterly irresistible, Florence (Firenze) is a place to feast on world-class art and gourmet Tuscan cuisine. *References: * Ferrara, A., Angulo-Garcia, D., Torcini, A., & Olmi, S. (2023). Population spiking and bursting in next-generation neural masses with spike-frequency adaptation. *Physical Review E*, *107*(2), 024311. Taher, H., Torcini, A., & Olmi, S. (2020). Exact neural mass model for synaptic-based working memory. *PLOS Computational Biology*, *16*(12), e1008533. Olmi, S., Petkoski, S., Guye, M., Bartolomei, F., & Jirsa, V. (2019). Controlling seizure propagation in large-scale brain networks. *PLoS computational biology*, *15*(2), e1006805. ============================================================ Simona Olmi Ph.D. Consiglio Nazionale delle Ricerche Istituto dei Sistemi Complessi Via Madonna del Piano, 10 - 50019 Sesto Fiorentino (Italy) Tel. +39 055 5226626 <%2B39%20055%205226620> Fax: +39 055 5226683 Skype: simona.olmi URL: https://www.isc.cnr.it/staff-members/simona-olmi/ Firenze-Neuro: https://www.firenze-neuro.org/ ============================================================ -------------- next part -------------- An HTML attachment was scrubbed... URL: From sunr at rpi.edu Sun Apr 21 18:54:01 2024 From: sunr at rpi.edu (Sun, Ron) Date: Sun, 21 Apr 2024 22:54:01 +0000 Subject: Connectionists: Book announcement: The NEW Cambridge Handbook of Computational Cognitive Sciences. Volumes 1 and 2. Message-ID: The Cambridge Handbook of Computational Cognitive Sciences Volumes 1 and 2 Ron Sun (Ed.) Published by Cambridge University Press, Cambridge, UK. https://www.amazon.com/Cambridge-Computational-Cognitive-Handbooks-Psychology/dp/1108485073 https://sites.google.com/view/hbcompcogsci The Cambridge Handbook of Computational Cognitive Sciences (CHCCS) is a definitive reference source for the increasingly important and interdisciplinary field of computational cognitive modeling in the cognitive sciences. Research in computational cognitive sciences explores the essence of cognition (broadly construed) and various cognitive functionalities through developing detailed, mechanistic, process-based understanding by specifying corresponding computational mechanisms and processes. CHCCS appeals to advanced students and researchers of this research community, as well as to advanced students and researchers in the cognitive sciences in general, including in philosophy, in cognitive psychology, in social psychology, in linguistics, in anthropology, in neuroscience, and so on. Table of Contents Volume 1: Part 1: Introduction Chapter 1. An Overview of Computational Cognitive Sciences Ron Sun Part 2: Cognitive Modeling Paradigms Chapter 2. Connectionist Models of Cognition Michael S. C. Thomas, James L. McClelland Chapter 3. Bayesian Models of Cognition Thomas L. Griffiths, Charles Kemp, Joshua B. Tenenbaum Chapter 4. Symbolic and Hybrid Models of Cognition Tarek R. Besold, Kai-Uwe K?hnberger Chapter 5. Logic-Based Modeling of Cognition Selmer Bringsjord, Michael Giancola, Naveen Sundar Govindarajulu Chapter 6. Dynamical Systems Approaches to Cognition Gregor Sch?ner Chapter 7. Quantum Models of Cognition Jerome R. Busemeyer, Emmanuel M. Pothos Chapter 8. Constraints in Cognitive Architectures Niels Taatgen, John Anderson Chapter 9. Deep Learning Marco Gori, Fr?d?ric Precioso, Edmondo Trentin Chapter 10. Reinforcement Learning Kenji Doya Part 3: Computational Modeling of Basic Cognitive Functionalities Chapter 11. Computational Models of Categorization Kenneth J. Kurtz Chapter 12. Computational Cognitive Neuroscience Models of Categorization F. Gregory Ashby, Yi-Wen Wang Chapter 13. Models of Inductive Reasoning Brett K. Hayes Chapter 14. Analogy and Similarity John E. Hummel, Leonidas A. A. Doumas Chapter 15. Mental Models and Algorithms of Deduction Philip N. Johnson-Laird, Sangeet S. Khemlani Chapter 16. Computational Models of Decision Making Joseph G. Johnson, Jerome R. Busemeyer Chapter 17. Computational Models of Skill Acquisition Stellan Ohlsson Chapter 18. Computational Models of Episodic Memory Per B. Sederberg, Kevin P. Darby Chapter 19. Computational Neuroscience Models of Working Memory Thomas E. Hazy, Michael J. Frank, Randall C. O?Reilly Chapter 20. Neurocomputational Models of Cognitive Control Debbie M. Yee, Todd S. Braver Chapter 21. Computational Models of Animal and Human Associative Learning Evan J. Livesey Chapter 22. Computational Cognitive Models of Reinforcement Learning Kenji Doya Volume 2: Part 4: Computational Modeling in Various Cognitive Fields Chapter 23. Computational Models of Developmental Psychology Thomas R. Shultz, Ardavan S. Nobandegani Chapter 24. Computational Models in Personality and Social Psychology Stephen J. Read, Brian Monroe Chapter 25. Computational Modeling in Industrial-Organizational Psychology Jeffrey B. Vancouver Chapter 26. Computational Modeling in Psychiatry Cody J. Walters, Sophia Vinogradov, A. David Redish Chapter 27. Computational Psycholinguistics Matthew W. Crocker, Harm Brouwer Chapter 28. Natural Language Understanding and Generation Marjorie McShane, Sergei Nirenburg Chapter 29. Computational Models of Creativity S?bastien H?lie, Ana-Maria Olteteanu Chapter 30. Computational Models of Emotion and Cognition-Emotion Interaction Eva Hudlicka Chapter 31. Computational Approaches to Morality Paul Bello, Bertram F. Malle Chapter 32. Cognitive Modeling in Social Simulation Ron Sun Chapter 33. Cognitive Modeling for Cognitive Engineering Matthew L. Bolton, Wayne D. Gray Chapter 34. Modeling Vision Lukas Vogelsang, Pawan Sinha Chapter 35. Models of Multi-Level Motor Control Martin Giese, David Ungarish, Tamar Flash Part 5: General Discussion Chapter 36. Model Validation, Comparison, and Selection Leslie M. Blaha, Kevin A. Gluck Chapter 37. Philosophical Issues in Computational Cognitive Sciences Mark Sprevak Chapter 38. Evaluation of Computational Modeling in Cognitive Sciences Margaret A. Boden For further details, see: https://sites.google.com/view/hbcompcogsci/ From vkapatsi at uoregon.edu Mon Apr 22 06:44:00 2024 From: vkapatsi at uoregon.edu (Volya Kapatsinski) Date: Mon, 22 Apr 2024 10:44:00 +0000 Subject: Connectionists: Call: Special issue on neural nets and linguistic theory Message-ID: Dear colleagues, I am writing because Ga?per Begu? (UC Berkeley) and I are putting together a special issue of Linguistics Vanguard of particular interest to many members of this list. LV is a relatively new journal that aims to publish short, 3000-4000 word articles on cutting-edge issues of interest to linguists). Because the journal is online, multimodal submissions are encouraged. The issue is on the implications of language learning models (LLMs, other neural networks, Bayesian or instance-based models) for linguistic theory. We are especially interested in model comparisons, but are also open to position papers. Abstracts will be due July 1, with invitations for full papers to follow. Full papers will be expected in late fall, with the special issue coming out early next year. The full call and the link to submit abstracts are here: https://blogs.uoregon.edu/ublab/lmlt/ Please feel free to forward to anyone else who might be interested! And also to contact me with any questions Best, Volya -- Vsevolod Kapatsinski Professor Department of Linguistics, University of Oregon visiting at Department of English, University of Freiburg Area Editor, Linguistics Vanguard (cog, exp, comp) blogs.uoregon.edu/ublab/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Mon Apr 22 07:10:03 2024 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Mon, 22 Apr 2024 11:10:03 +0000 Subject: Connectionists: Fully-funded PhD in machine-learning for analysing subject's decisions - July start (Nottingham, UK) In-Reply-To: References: Message-ID: A fully-funded PhD is immediately available with Dr Silvia Maggi and Professor Mark Humphries (University of Nottingham) and Dr Hazem Toutonji (University of Sheffield). Decision-making happens in dynamic environments. Understanding how subjects respond to such a fast-changing world requires approaches that can track subject's choice strategies at the resolution of single trials. We recently published a Bayesian inference algorithm (Maggi et al., 2024, eLife) that enables trial-resolution tracking of learning and exploration during decision-making. This project will build on this work to solve crucial problems of determining which of a set of behavioural strategies a subject is using and how to incorporate evidence uncertainty into its detection of the learning of strategies and transitions between them. Using the extended algorithm on datasets of rodents and humans performing decision tasks will let us test a range of hypotheses for how correct decisions are learnt and what innate strategies are used. Studentship is for "Home" students only Application deadline: May 30th 2024 PhD start date: July 1st 2024 Please send all queries to Silvia (silvia.maggi at nottingham.ac.uk) or Mark (mark.humphries at nottingham.ac.uk) Full details and how to apply here: https://www.nottingham.ac.uk/psychology/study-with-us/phd-by-research/school-funded-phd-studentship.aspx Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org Twitter: @markdhumphries Public blog: https://medium.com/the-spike Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) out now in paperback: https://press.princeton.edu/books/paperback/9780691241487/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.passarella at iit.cnr.it Mon Apr 22 07:30:01 2024 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Mon, 22 Apr 2024 11:30:01 +0000 Subject: Connectionists: OSNEM Special Issue:AI in Online Social Networks: opportunities and challenges Message-ID: <20240422113001.WcvYN%a.passarella@iit.cnr.it> ------------------------------------------------------------------------------ CALL FOR PAPERS Elsevier Online Social Networks and Media Journal (OSNEM) Special issue on AI in Online Social Networks: opportunities and challenges Submission Deadline: Continuous submissions until July 31st, 2024 https://www.sciencedirect.com/journal/online-social-networks-and-media ------------------------------------------------------------------------------ Online Social Networks and Media are a fundamental component of everyday life and the use of AI technologies in OSNEM can further boost their role. The use of AI in online social networks offers great opportunities and, at the same time, raises several challenges. AI's ability to analyze vast amounts of data in real-time allows social media platforms to offer highly personalized experiences to users. The use of AI may raise concerns about ethical issues such as privacy, algorithmic bias, misinformation, etc., but AI can also be used for content moderation on social media to detect and remove harmful or inappropriate content, identifying and mitigating the spread of fake news. etc. The use of AI on OSNEM can promote the democratic processes by facilitating the dissemination of information and encourage political engagement. On the other hand, AI algorithms can create echo chambers, influence voting behavior and generate significant risks for democracy. AI-driven security measures can help to protect OSNEM users from fraud and privacy breaches but, malicious actors can also use AI to support their attacks. The exponential diffusion of generative AI adds novel dimensions to this landscape, on the one hand supporting novel forms of interactions spanning into the Metaverse, but on the other hand exposing vulnerable users to dramatic threats. The aim of this special issue is to push the state of the art in using AI in OSNEM, by presenting quantitative contributions that investigate the opportunities and challenges of using AI in Online Social Networks. Within this framework, topics include, but are not limited to: - Using AI in OSNEM for personalization, efficiency, and recommendations; - AI-based studies for analysis and modelling of information and opinion dynamics in OSNEM; - AI-based predictions based on OSNEM data analysis; - AI impact on OSNEM security, trustworthiness and privacy; - Generative AI in OSNEM; - AI and social networking in the Metaverse; - AI methodologies for large-scale OSNEM data collection and analysis - AI methods to safeguard OSNEM users (e.g., bot detection, toxic content identification, content moderation, echo chamber avoidance) - Case studies of AI application in OSNEM Online Social Networks and Media is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behaviour. Manuscripts only based on questionnaires, even focused on the reported use of social media, are outside the scope of the journal. On the other hand, the journal welcomes papers which present analyses based on big data mined from social networks/media. ----------------------------------------------------------------------------- Schedule Manuscript submission deadline: continuous submission until July 31st, 2024 (*) First notification: two months after the submission Expected publication: papers are published a few weeks after acceptance. Guest Editors Marco Conti, IIT-CNR, Italy Andrea Passarella, IIT-CNR, Italy ------------------------------------------------------------------------------ Instructions for submission Manuscripts must not have been previously published nor currently under review by other journals or conferences. If prior work was published in a conference, the submitted manuscript should include a substantial extension of at least 35% novel contributions. In this case, authors are also required to submit their published conference articles and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www2.cloud.editorialmanager.com/osnem/default2.aspx. Please select ''VSI:AI&OSNEM'' when you reach the ''Article Type'' step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on ?AI&OSNEM?. (*) Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website. For further information, please contact the guest editors at {m.conti,a.passarella} at iit.cnr.it From daniel.polani at gmail.com Mon Apr 22 10:07:50 2024 From: daniel.polani at gmail.com (Daniel Polani) Date: Mon, 22 Apr 2024 16:07:50 +0200 Subject: Connectionists: One week left to apply: PhD at UH in Information and the Origin of Cognition Message-ID: PhD studentships available at the University of Hertfordshire, UK Information and the Origin of Cognition: Principled Routes towards Artificial Intelligence and Robotics Do you wonder about the nature of cognition? How organisms naturally achieve such high levels of intelligence, when it requires the smartest engineers to come up with elaborate, clever, energy- and data-intensive solutions to achieve pertinent effects? What are we missing in AI? And what can we do about that? If so, then this PhD studentship might be of interest to you. Overview -------- Shannon information has been identified as a fundamental resource in cognition and in decision-making, from molecular dynamics to animal brains, up to Artificial Intelligence systems, all of which are driven by the need to organize information. We investigate the fundamental principles along which these intelligent organizational processes take place, and how more powerful capabilities can emerge spontaneously through informational principles and how, in turn, these principles can be used to create and understand more capable and transparent AI and robotic systems. Topics ------ As a PhD candidate, you are interested in discovering the principles behind the emergence and organization of cognition and its application to Artificial Intelligence and Robotics, typically based on information theory. Possible research questions include, but are by far not limited to: - modeling cognitive structure - extracting structural generalizations - enabling robust decision making, minimal and flexible robotic control - agents that "want": intrinsic motivations, especially, but not limited to empowerment - Artifical Life, including origin of life and cognition from first principles - links to physics and complex systems in general Candidates ---------- You will have a very strong first degree, a keen motivation to contribute to a fresh, and fast-moving research area at the boundaries of AI, robotics, biology, physics and psychology. An outstanding background in one of the following or a related field is essential: Computer Science, AI, Computational/Cognitive Robotics, Physics, Mathematics or any other relevant discipline with a considerable quantitative/computational component. You will demonstrate excellent programming skills in at least one major computer language. A mathematical/numerical background is highly desirable. Environment ----------- The research will take place in the enthusiastic and creative environment of the Adaptive Systems Research Group of the School of Physics, Engineering and Computer Science at the University of Hertfordshire; for interested candidates, there will also be the special opportunity to collaborate with the School?s successful humanoid robot RoboCup team, the Bold Hearts, and with research groups world-wide. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in REF 2021, with 90% of the research submitted and all of the research impact rated as internationally excellent or world leading. The University of Hertfordshire provides a highly stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as excellent general training and researcher development opportunities. The University is situated in Hatfield, in the green belt less than 25 minutes by train from Kings Cross, London and with convenient access to several international airports. Studentships ------------ A limited number of studentships are available for exceptional candidates in particular areas (?19,632 per annum bursary plus the payment of the student fees). Applicants from inside and outside the UK are eligible. Further Information ------------------- Please see the following link for more details on the project https://www.herts.ac.uk/__data/assets/pdf_file/0004/389659/Information_Cognition_Polani_Catenacci.pdf Further details about the application and the programme can be found here: https://www.herts.ac.uk/study/schools-of-study/physics-engineering-and-computer-science/engineering-and-computer-science/research-in-engineering-and-computer-science/the-phd-programme-in-computer-science We invite you to also have a look at the other projects of the Adaptive Systems Research Group and the Computer Science PhD programme. Application (please also see above website) ------------------------------------------- Please download the application form from here: https://www.herts.ac.uk/__data/assets/pdf_file/0010/31105/uh-application-form_2022.pdf Please note: You must download the application form to your computer before you complete it. If you complete the form in the browser window, the information you have entered may be lost when the form is saved Please email the application form to: doctoralcollegeadmissions at herts.ac.uk. Applications should also include two references and transcripts of previous academic degrees. We accept applications for self-funded places throughout the year. The next short-listing process for studentship applications will begin on _1 May 2024_. n.catenacci-volpi at herts.ac.uk c.salge at herts.ac.uk d.polani at herts.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.goodhill at wustl.edu Mon Apr 22 11:13:55 2024 From: g.goodhill at wustl.edu (Goodhill, Geoffrey) Date: Mon, 22 Apr 2024 15:13:55 +0000 Subject: Connectionists: NEXTEN Conference deadline May 1st Message-ID: NEXTEN: Envisaging Theoretical and Computational Neuroscience for the next 10 years May 16-17, 2024, Washington University in St Louis Full program now available: https://nexten.wustl.edu/program Final registration deadline is May 1st (or earlier if capacity is reached). Theoretical/Computational Neuroscience is currently undergoing a phase of unprecedented growth. Dramatic advances in the ease with which large-scale datasets of behavior, neural activity, connectomic and gene expression information can be collected have coincided with a revolution in the capabilities of Artificial Intelligence-based algorithms to interrogate such datasets. Concurrently, these new datasets are inspiring exciting new developments in mathematical tools for extracting their underlying structure and relationships. What is the current state of the art in our theoretical/computational understanding of the brain, and what does the future hold? You are invited to join an exciting line-up of leaders in the field to address these questions. Confirmed speakers include Mackenzie Mathis (EPFL) Terry Sejnowski (Salk Institute) Andreas Tolias (Baylor College of Medicine) Richard Zemel (Columbia University) ShiNung Ching (WashU) Naoki Hiratani (WashU) Adam Kepecs (WashU) Barani Raman (WashU) Gaia Tavoni (WashU) Please direct any questions to ctcn at wustl.edu Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill at wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd -------------- next part -------------- An HTML attachment was scrubbed... URL: From dr.fahed.alkhabbas at gmail.com Mon Apr 22 20:03:58 2024 From: dr.fahed.alkhabbas at gmail.com (Dr.Fahed Alkhabbas) Date: Tue, 23 Apr 2024 02:03:58 +0200 Subject: Connectionists: =?utf-8?q?CFP=3A_The_11th_International_Conferenc?= =?utf-8?q?e_on_Internet_of_Things=3A_Systems=2C_Management_and_Sec?= =?utf-8?q?urity_=28IOTSMS_2024=29=2C_Malm=C3=B6=2C_Sweden=2E_Septe?= =?utf-8?q?mber_2-5=2C_2024?= Message-ID: [Apologies if you got multiple copies of this invitation] The 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS 2024) https://emergingtechnet.org/IOTSMS2024/index.php Malm?, Sweden. September 2-5, 2024 Technically Co-Sponsored by IEEE Sweden Section *IOTSMS 2024 CFP* The Internet of Things (IoT) technology offers unprecedented opportunities to interconnect human beings as well as Machine-to-Machine (M2M), whereby networks across the edge-cloud continuum allow all things to communicate and share vital information, allowing us to have an instrumented universe where accurate data is readily available to inform optimal decision making. Indeed, the IoT has opened up for the development of novel types of services and applications in various application domains. It has changed how people go about their lives. The number of heterogeneous objects connected to the Internet is growing very fast. Ericsson estimates the number will be close to 38 billion objects by 2029. Others believe the actual number will be even higher with the assumption that any object with a simple microcontroller and on-off switch will be connected to the Internet in the near future. The scale of the IoT is set to have major economic, social, and environmental impacts; the intersection of which forms the future sustainable growth. The international conference on Internet of Things: Systems, Management, and Security (IoTSMS) aims at soliciting original ideas on the broad area of IoT, including challenges and opportunities, concepts and applications, and future trends. The IoTSMS aims to facilitate discussions among academics and IoT practitioners and make positive contributions to the field. The topics of interest include (but are not limited to): * Emerging concepts of IoT Systems * Architectures of IoT systems * Machine-to-Machine Communication and IoT * Modelling of IoT applications * SDN and NFV support for IoT applications and Systems * Fog and Edge support for IoT Applications * 5G support for IoT Applications * IoT for Smart Cities * Energy management in IoT * Design methodologies for IoT * IoT for sustainable digitalization * IoT and Social benefits/impact * IoT Economics and Business Models * Emerging Internet of Things business models and process changes * Communication systems and network architectures for the IoT * IoT and Data Management * Security and privacy of IoT * Reliability of IoT * Trustworthy IoT systems * Disaster recovery in IoT * Applications of Internet of things * Emerging applications and interaction paradigms for everyday citizens * Big data and IoT * Self-organizing IoT * Cloud Computing and IoT * Smart IoT systems * Dynamic IoT systems * Simulations in IoT environments *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format (IEEE Templates ). All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least two reviewers. Accepted papers will appear in the IoTSMS Proceeding and to be submitted to IEEE Xplore for inclusion. The proceedings are also submitted for indexing to EI (Compendex), Scopus and other indexing services like DBLP. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must not exceed 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. *Important Dates* Submission Date: 1 June 2024 Notification to Authors: 15 July 2024 Camera Ready Submission: 1 August 2024 *Contact:* If you have any questions about IoTSMS, please send an email to Fahed Alkhabbas at: fahed.alkhabbas at mau.se ??? Dr. Fahed Alkhabbas Senior Lecturer in Software Engineering Internet of Things and People Research Center Faculty of Technology and Society Malm? University, Sweden Email: fahed.alkhabbas at mau.se Mobile: +46(0)7 027 28 950 Skype: f.khabbas -------------- next part -------------- An HTML attachment was scrubbed... URL: From lee.seungwoo at kaist.ac.kr Mon Apr 22 22:28:26 2024 From: lee.seungwoo at kaist.ac.kr (=?UTF-8?B?7J207Iq57Jqw?=) Date: Tue, 23 Apr 2024 11:28:26 +0900 (KST) Subject: Connectionists: [JOB] Faculty Positions in Dept. of Brain and Cognitive Sciences at KAIST (South Korea) Message-ID: Dear Connectionists group, https://bcs.kaist.ac.kr/sub0603/view/id/201#u https://bcs.kaist.ac.kr/sub0603/view/id/201#u KAIST FACULTY POSITIONS Department of Brain and Cognitive Sciences   The Department of Brain and Cognitive Sciences at KAIST is inviting applications for positions at the rank of Assistant, Associate, or Full Professor. We seek exceptional scientists and engineers with strong track records of high-quality published works in the broad fields of Brain and Cognitive Sciences.     ? Invited Area    ? Cognitive or Social Neuroscience  ? Theoretical or Computational Neuroscience  ? Brain Engineering (e.g., Brain-machine interface, Brain-based artificial intelligence, Neuromorphic Chips)  ? Any areas in brain and cognitive sciences      ? Qualifications    ? Applicants are expected to be able to demonstrate an excellent potential for both conducting research and teaching students at KAIST.  ? Applicants are expected to demonstrate attributes in collaborative academic research with pioneering initiatives and contribute in industrial research.   - All applicants should have substantial peer-reviewed publications that demonstrate productivity and the ability to perform cutting edge research.   - The successful candidates will be expected to establish and maintain vigorous research projects.  ? Applicants are expected to teach all the courses in English.  ? Applicants should have earned a Ph.D., M.D., or equivalent degrees.   - Qualified candidates are expected to have postdoctoral training or equivalent status.     ?Candidates expecting to earn a doctoral degree must be able to pass their final thesis exam (advisor?s confirmation required) within 9 months of the date of job application and receive the said degree before the date of appointment.     ? Priority Candidate    ? KAIST highly encourage women and/or international scientists to apply.     ? Grounds for Disqualification    ? A person falling under any subparagraph of Article 33 of the State Public Officials Act  ? A person whose civil rights have been suspended or removed under relevant laws  ? Persons who do not fulfill their military service obligations under Article 76 of the Military Service Act  ? Persons who have been ordered to restrict employment in accordance with Article 56 of the Sexual Protection of Children and Juveniles Act  ? A person who has been revoked or dismissed from employment because he or she has been found to have been hired by another public institution in an unlawful way, and for which 5 years have not elapsed since the date of disposition  ? Persons subject to employment restrictions as those who have been disqualified under Article 82 of the Act on the Establishment and Operation of Anti-Corruption and Anti-Corruption and Civil Rights Commission     ? Evaluation Procedure    ? 1st : Document review  ? 2nd : Department in-depth examination  ? 3rd : Department seminar and comprehensive review of department faculty personnel committee)  ? 4th : Final appointment decision made after review of the college faculty personnel committee or headquarter faculty personnel committee(Appointment of tenured professor and/or professor subject to deliberations by headquarter faculty personnel committee.)     ? Application Submission Period   April 20, 2024 ~ May 20, 2024 (KST, UTC+09:00)     ? Documents to submit    1) Application(Please use the prescribed form)   - including ?Summary of Key Achievements, ?Academic/Research Achievements, ?Plan of Teaching, ?Plan of Research, ?Resume(CV), ? Consent to Collection and Use of Personal Information.  2) Five or more selected papers(peer-reviewed research papers published in or accepted by journals)    ?Certificates of acceptance for publication should be included in application materials.  3) List of names of recommenders and letter of recommendation   - Three letters required for candidates applying to the position of associate professor or assistant professor   - Six letters required for candidates applying to the position of tenured professor or full professor    ?Recommendation letters are individually requested only for those who are eligible for submission during the screening stage after document review.     ? Notes    ? Documents should not directly or indirectly contain personnel information that may prejudice the committee members, such as gender, age, region of origin, family relationships, physical conditions(including height, weight, and appearance(including photos)), assets, marital status, etc.  ? Documents, once submitted, will not be returned.  ? Applicants are solely responsible for the contents of the documents, and appointment offers may be rescinded if inappropriate or false information is found in submitted documents.  ? If a suitable candidate is not found, the position may remain vacant.     ? HOW TO APPLY   ? Please submit the required documents via email to (kaist_bcs at kaist.ac.kr)     ? Inquires   ? (E-mail)kaist_bcs at kaist.ac.kr (Tel) +82-42-350-6502 ??? Lee, SeungwooDepartment of Brain and Cognitive Sciences / Associate Professor291 Daehak-ro Yuseong-gu Daejeon, KAIST, South Korea (34141)Tel 042-350-6517 Mobile 010-8583-7963 Email  lee.seungwoo at kaist.ac.kr mailto:lee.seungwoo at kaist.ac.kr -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Inline-image-2024-04-23 11.27.28.228.png Type: image/png Size: 13821 bytes Desc: not available URL: From stevensequeira92 at hotmail.com Mon Apr 22 14:02:52 2024 From: stevensequeira92 at hotmail.com (steven gouveia) Date: Mon, 22 Apr 2024 18:02:52 +0000 Subject: Connectionists: 9th rTAIM Online Seminar - ARIANE HANEMAAYER (Brandon University, Canada) In-Reply-To: References: Message-ID: Dear All, After the 8th rTAIM Online Seminar (available here: https://www.youtube.com/watch?v=s8AjIMBMdRw), we are happy to announce the 9th rTAIM Online Seminar with the participation of Professor Ariane Hanemaayer (Brandon University, Canada), on the 30th April 2024, 15h-16h30 Lisbon Time Zone, via Zoom. Title: Reframing AI in clinical decision making: A critical sociological approach to historical ontology Abstract: Artificial Intelligence, Machine Learning, and algorithmic technologies are often integrated into institutional settings on the basis of their ability to solve a human problem. In this seminar, I will focus on one such case, where AI and similar technologies have been implemented with the justification that they solve issues with clinical judgment, such as human error and variation in diagnostic classification. My argument introduces an historical ontology as a way of reframing current debates. Through historicizing debates about AI as a technological or ethical issue, I show how these underlying assumptions have shaped justification for and against the use of computing technologies and expert systems in medicine since the 1960s. While debates over responsibility, ethics, and machine capabilities are important to question when it comes to the role of technologies in medicine, it leaves aside other significant ontological questions about the technologies themselves and, in this case, clinical judgment. At the end of this seminar, I propose to clarify the kinds of questions that can be spotlighted through a critical approach, and make a case for reframing the predominant focus on technical and ethical issues. Short bio: Ariane Hanemaayer is an Associate Professor at Brandon University, Canada, in the departments of Sociology and Gender and Women's Studies, and Affiliate Scholar at the Max Planck Institute for the History of Science. Her research investigates the relationships among medical knowledge, healthcare systems, decision-making technology, and medical regulation. Her recent books include The Impossible Clinic: A Critical Sociology of Evidence-Based Medicine (2019) and Artificial Intelligence and Its Discontents: Critiques from the Social Sciences and Humanities (2021). Zoom: Link: https://videoconf-colibri.zoom.us/j/98780678655?pwd=R1hTRkJvSHRsQjZINEM5Y1dxd3lRZz09 ID: 987 8067 8655 Password: 924226 More info: https://trustaimedicine.weebly.com/rtaim-seminars.html If you would like to be a speaker, send an email to stevensequeira92 at hotmail dot com with a title, abstract and short bio. Sincerely, Organizer -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Mon Apr 22 12:32:26 2024 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Mon, 22 Apr 2024 18:32:26 +0200 Subject: Connectionists: [CFP] Workshop on Recent Advances in Biometrics and its Applications | 2024 47th International Conference on Telecommunications and Signal Processing Message-ID: We do apologize if this CfP reaches you more than once. -------------------------------------------- Call for papers ? Workshop on "Recent Advances in Biometrics and its Applications", in the 47th International Conference on Telecommunications and Signal Processing (TSP) July 10-12, 2024 (Virtual Conference, https://tsp.vutbr.cz/ ) https://tsp.vutbr.cz/8th-workshop-biometrics/ Deadline : *May 6, 2024 * -------------------------------------------- Biometric recognition has become a burgeoning research area due to the industrial and government needs for recognition, security, and privacy concerns. It has also become the center of focus for many authentication and identification applications in the civil and forensic fields. Within the framework of the 2024 47th International Conference on Telecommunications and Signal Processing (TSP) held virtually during July 10-12, 2024, we invite you to the 8th International Workshop on Recent Advances in Biometrics and its Applications. The goal of this workshop is to present and discuss the recent fundamental and applied research works, providing novel solutions to challenging problems in biometrics. It is an opportunity to bring researchers and experts together to discuss the current and future state of biometrics and possible areas of further cooperation. Topics of interest include, but are not limited to, the following: - Biometrics-based authentication and identification - Physiological and behavioral biometrics - Biometric feature extraction and matching - Signal, image, and video processing in biometrics - Artificial learning in biometrics - Artificial intelligence in biometrics - Fusion techniques in biometrics - Soft biometrics - Multimodal biometrics - Biometric security and privacy - Big data challenges in biometrics - Related applications Selected high-quality papers will be invited for publication in a special issue in a highly respected journal. Online submission : https://tsp.vutbr.cz/tsp2024/openconf/openconf.php Organizers: - Prof. Dr. Larbi Boubchir (larbi.boubchir at univ-paris8.fr), University of Paris 8, France - Prof. Dr. Boubaker Daachi, University of Paris 8, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Tue Apr 23 03:28:15 2024 From: efipatm at gmail.com (Efi) Date: Tue, 23 Apr 2024 00:28:15 -0700 Subject: Connectionists: =?utf-8?q?Live_free_=27AIDA_AI_Excellence_e-Lectu?= =?utf-8?q?re=27_by_Prof=2E_C=C3=A9sar_A=2E_Hidalgo=3A_=22Economic_?= =?utf-8?q?Complexity_and_Sustainable_Growth=22=2C_23rd_April_2024?= =?utf-8?q?=2C_15=3A00_CEST?= Message-ID: Dear AI scientist/engineer/student/enthusiast, Professor C?sar A. Hidalgo (University of Toulouse and Corvinus University of Budapest) will deliver the e ? lecture: ?*Economic Complexity and Sustainable Growth*? on *23rd April, 15:00 CEST*. *See details in*: https://www.i-aida.org/events/economic-complexity-and-sustainable-growth/ *Location* Online via *zoom: https://authgr.zoom.us/j/95071539445?pwd=L2xkeVNzZDkwdGVvOHVOWSsyU1F6UT09 * Meeting ID*: *950 7153 9445 Passcode: 405011 The *International AI Doctoral Academy (AIDA) *, a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , is very pleased to offer you top quality scientific lectures in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by: - Top highly cited senior AI scientists internationally or - Young AI scientists with promise of excellence (AI sprint lectures) These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list . Best regards Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, J. Stefanowski AIDA AI Excellence Lecture Series committee members -------------- next part -------------- An HTML attachment was scrubbed... URL: From a0091624 at gmail.com Tue Apr 23 20:21:23 2024 From: a0091624 at gmail.com (Mengmi Zhang) Date: Wed, 24 Apr 2024 08:21:23 +0800 Subject: Connectionists: APCV 2024: Call for abstracts (Deadline: 3 May) Message-ID: Dear Colleagues, **** 16th annual Asia-Pacific Conference on Vision (APCV) **** The long-awaited APCV is back! The first post-COVID APCV 2024 will take place from Wednesday 10th July - Friday 12th July, 2024 in Singapore. Registration and abstract submission are now open: *https://easychair.org/cfp/apcv2024 * https://easychair.org/conferences/?conf=apcv2024 Abstract submissions are available for talk and poster contributions. APCV welcomes original research work on, but not limited to visual psychophysics, visual physiology/anatomy, visual memory, perception and attention, computational vision, social perception, brain imaging, eye movements, multisensory perception, visual development, artificial vision, reading and word recognition, face and object perception, art and visual science, and clinical vision. The program will feature a mixture of keynote lectures, symposia, talks and poster presentations. There is also a conference banquet for separate registration. More information about the conference can be found at: https://www.apcv2024.com The conference will be held at Yale-NUS College, National University of Singapore (NUS). The venue is conveniently located 8 km west of Singapore city centre, with connection to the rest of town through the city?s metro system (MRT) and NUS Internal Shuttle Bus. Singapore is a vibrant city-state in Southeast Asia with direct flight connections to multiple cities in the Asia-Pacific Region and beyond. Important Dates: - 3 May: Abstract submission deadline. (This deadline will likely be extended, but we would appreciate submissions by 3 May to facilitate planning and scheduling.) - 13 May: Deadline for registration with request for University housing. - 31 May: Early registration deadline. - 30 June: Regular registration deadline. Confirmed keynote speakers: - Jeremy Wolfe (Harvard) - Shin Shimojo (Caltech) We look forward to seeing you in Singapore! Best regards, Chris Asplund, Hong Xu, Shih-Cheng Yen, Mengmi Zhang, Colin Palmer, Charles Or, and Camilo Libedinsky APCV2024 Organizing Committee https://www.apcv2024.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From xiao at gmu.edu Tue Apr 23 12:15:16 2024 From: xiao at gmu.edu (Xuesu Xiao) Date: Tue, 23 Apr 2024 16:15:16 +0000 Subject: Connectionists: [meetings] [news] Hard Submission Deadline May 1: 3rd Benchmark for Autonomous Robot Navigation (BARN) Challenge -- ICRA 2024 Competition Message-ID: <1EF07F00-CCFD-4E63-9997-2EBAF5D95D61@gmu.edu> Hard submission deadline is approaching! Submit by May 1 to be invited to participate in The 3rd BARN Challenge at ICRA 2024 in Japan! Submission Form: https://docs.google.com/forms/d/e/1FAIpQLSfZLMVluXE-HWnV9lNP00LuBi3e9HFOeLi30p9tsHUViWpqrA/viewform?usp=sf_link Competition Website: https://cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge24.html Participation Instructions: https://github.com/Daffan/nav-competition-icra2022 Lessons Learned from The BARN Challenge 2023: https://cs.gmu.edu/~xiao/papers/barn23_report.pdf Lessons Learned from The BARN Challenge 2022: https://cs.gmu.edu/~xiao/papers/barn22_report.pdf Dear roboticists, are you interested in agile robot navigation in highly constrained spaces with a lot of obstacles around, e.g., cluttered households or after-disaster scenarios? Do you think mobile robot navigation is mostly a solved problem? Are you looking for a hands-on project for your robotics class, but may not have (sufficient) robot platforms for your students? If your answer is yes to any of the above questions, we sincerely invite you to participate in our (3rd) ICRA 2024 BARN Challenge (https://cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge24.html)! The BARN Challenge aims at evaluating state-of-the-art autonomous navigation systems to move robots through highly constrained environments in a safe and efficient manner. The task is to navigate a standardized Clearpath Jackal robot from a predefined start to a goal location as quickly as possible without any collision. The challenge will take place both in the simulated BARN dataset and in physical obstacle courses at ICRA2024. 1. The competition task is designing ground navigation systems to navigate through all 300 BARN environments (https://cs.gmu.edu/~xiao/Research/BARN/BARN.html) and physical obstacle courses constructed at ICRA2024 as fast as possible without collision. 2. The 300 BARN environments can be the training set for learning-based methods, or to design classical approaches in. During the simulation competition, we will generate another 50 unseen environments unavailable to the participants before the competition. 3. We will standardize a Jackal robot in the Gazebo simulation, including a Hokuyo 2D LiDAR, motor controller of 2m/s max speed, etc. 4. Participants can use any approaches to tackle the navigation problem, such as using classical sampling-based or optimization-based planners, end-to-end learning, or hybrid approaches. We will provide baselines for reference. 5. A standardized scoring system is provided on the website. 6. We will invite the top teams in simulation to compete in the real world. The team who achieves the fastest collision-free navigation in the physical obstacle courses wins. If you are interested in participating, please submit your navigation system at https://docs.google.com/forms/d/e/1FAIpQLSfZLMVluXE-HWnV9lNP00LuBi3e9HFOeLi30p9tsHUViWpqrA/viewform?usp=sf_link Co-Organizers: Xuesu Xiao (George Mason University) Zifan Xu (UT Austin) Garrett Warnell (US Army Research Lab / UT Austin) Peter Stone (UT Austin / Sony AI) Sponsor: Clearpath Robotics, https://clearpathrobotics.com/ Thanks Xuesu ----------------------- Xuesu Xiao, Ph.D. -- Assistant Professor Department of Computer Science George Mason University xiao at gmu.edu https://cs.gmu.edu/~xiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Wed Apr 24 06:26:18 2024 From: stm at socio.org.uk (STM STMet 2024) Date: Wed, 24 Apr 2024 15:56:18 +0530 (IST) Subject: Connectionists: Digital Data Processing 2024 Message-ID: <581331494.2909285.1713954378157@ap1.myprofessionalmail.com> Fourth International Conference on Digital Data Processing (DDP 2024) Yeshiva University. New York. US September 30-October 01, 2024 (www.socio.org.uk/ddp) (IEEE approval pending) As technology advances in different sub-domains of computing, data-driven models are becoming increasingly important. The data-dependent world now faces many challenges in terms of data accuracy and data privacy. High-impact advancements include machine learning, artificial intelligence, deep learning and many more. Data is growing exponentially in terms of diversity and complexity. One organization or industry processes over a few million transactions per hour and stores hundreds of billions of data. We live in a world with a great need for more efficient data analysis and processing. Data analytics can reveal hidden patterns, complex relationships, internal information relations, and even segmentation. Data applications have opened up new possibilities in every aspect of our lives. Studying data and its structure, dynamics, and modern data technologies is ongoing. There is a great deal of literature and research on data management, but it does not address the data processi! ng needs. Many studies focus on developing models and systems for analyzing large datasets. Data analysis leads to application domains that have a systematic impact on decisions. The knowledge gained from the data analysis enables the generation of critical information for multiple domains. In this conference, we review and discuss the latest trends in data management, the opportunities and challenges, and how they have affected organizations' ability to develop effective business and technology strategies and stay up-to-date in data technology. We also highlight current open research directions in data analytics that need further attention. The proposed conference will discuss topics not limited to Data applications in various domains and activities Data in cloud Real-world data processing Data inaccuracy and reliability issues Data Ecosystem Business Analytics New data analytics techniques Physical and management challenges Synthetic data Data synthesis Crowdsourcing and Sensing Data modelling Deep learning techniques Data fusion Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics Machine learning impact on data processing Network optimization Data in Biomedical Engineering Data in Materials science and mechanics Data handling and applications in domains Wireless Networking Data Management Data of Electronic & Embedded Systems Multi-media Systems Data Artificial Intelligence Models and Systems Data E-Computing Data Renewable Energies Data General Chair Honggang Wang, Yeshiva University, USA Program Chairs Youshan Zhang, Yeshiva University, USA Ezendu Ariwa, Warwick University, UK Simon Fong, University of Macau, Macau Program Co-chairs Martin Loperz, University of Vigo, Spain Keynote Speakers 1. Xiaofan (Fred) Jiang, Columbia University 2. Edwin Chihchuan Kan, Cornell University Publications Modified versions of the papers will appear in the following journals. Journal of Digital Information Management International Journal of Computational Linguistics International Journal of Distributed Systems and Technologies Important Dates Submission of Workshop Proposals: April 10, 2024 Submission of Papers: June 15, 2024 Notification of Acceptance/Rejection: July 20, 2024 Camera-ready: September 01, 2024 Registration: September 01, 2024 Conference Dates: September 30- October 01, 2024 Paper submission Papers should follow the IEEE template. Submissions at http://socio.org.uk/ddp/paper-submission/ Contact: stm at socio.org.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Wed Apr 24 08:34:22 2024 From: interdonatos at gmail.com (Roberto Interdonato) Date: Wed, 24 Apr 2024 14:34:22 +0200 Subject: Connectionists: CfP: MACLEAN - MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2024) Message-ID: MACLEAN: MAChine Learning for EArth ObservatioN September 2024 KEY DATES Paper submission deadline: June 15, 2024 Paper acceptance notification: July 15, 2024 Paper camera-ready deadline: July 30, 2024 CONTEXT The huge amount of data currently produced by modern Earth Observation (EO) missions has raised up new challenges for the Remote Sensing communities. EO sensors are now able to offer (very) high spatial resolution images with revisit time frequencies never achieved before considering different kind of signals, e.g., multi-(hyper)spectral optical, radar, LiDAR and Digital Surface Models. In this context, modern machine learning techniques can play a crucial role to deal with such amount of heterogeneous, multi-scale and multi-modal data. Some examples of techniques that are gaining attention in this domain include deep learning, domain adaptation, semi-supervised approach, time series analysis and active learning. Even though the use of machine learning and the development of ad-hoc techniques are gaining increasing popularity in the EO domain, we can witness that a significant lack of interaction between domain experts and machine learning researchers still exists. The objective of this workshop is to supply an international forum where machine learning researchers and domain-experts can meet each other, in order to exchange, debate and draw short and long term research objectives around the exploitation and analysis of EO data via Machine Learning techniques. Among the workshop?s objectives, we want to give an overview of the current machine learning researches dealing with EO data, and, on the other hand, we want to stimulate concrete discussions to pave the way to new machine learning frameworks especially tailored to deal with such data. TOPICS ? Supervised Classification of Multi(Hyper)-spectral data ? Supervised Classification of Satellite Image Time Series data ? Unsupervised of EO Data ? Deep Learning approaches to deal with EO Data ? Machine Learning approaches for the analysis of multi-scale EO Data ? Machine Learning approaches for the analysis of multi-source EO Data ? Semi-supervised classification approaches for EO Data ? Active learning for EO Data ? Transfer Learning and Domain Adaptation for EO Data Interpretability and explainabiilty of machine learning methods in the context of EO data analysis ? Bayesian machine learning for EO Data ? Dimensionality Reduction and Feature Selection for EO Data ? Graphicals models for EO Data ? Structured output learning for EO Data ? Multiple instance learning for EO Data ? Multi-task learning for EO Data ? Online learning for EO Data ? Embedding and Latent factor for EO Data INVITED SPEAKERS: - Matthieu Molinier, VTT, Finland Keynote Title: TBA - Giuseppina Andresini & Annalisa Appice, Universit? di Bari, Italy Keynote Title: "Monitoring forest health with AI: approaches for mapping tree dieback in satellite data" SUBMISSION We welcome original contributions, either theoretical or empirical, describing ongoing projects or completed work. Contributions can be of two types: either short position papers (up to 6 pages including references) or full research papers (up to 10 pages including references). Papers must be written in LNCS format, i.e., accordingly to the ECML-PKDD 2024 submission format. Accepted contributions will be made available electronically through the Workshop web page. Post-proceedings will be also published at the CCIS (Communications in Computer and Information Science) series. WORKSHOP WEBSITE: https://sites.google.com/view/maclean24 SUBMISSION WEBSITE: https://cmt3.research.microsoft.com/ECMLPKDDWorkshops2024/Track/7/Submission/Create PC-CHAIRS Thomas Corpetti, CNRS, LETG-Rennes COSTEL UMR 6554 CNRS, Rennes, France, thomas.corpetti at cnrs.fr Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato at cirad.fr Cassio Fraga Dantas, INRAE, UMR Tetis, Montpellier, France, cassio.fraga-dantas at inrae.fr Dino Ienco, INRAE, UMR Tetis, Montpellier, France, dino.ienco at inrae.fr Minh-Tan Pham, Univ. Bretagne-Sud, UMR 6074, IRISA, Vannes, France, minh-tan.pham at irisa.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From francesca.naretto at sns.it Wed Apr 24 09:20:53 2024 From: francesca.naretto at sns.it (Francesca NARETTO) Date: Wed, 24 Apr 2024 15:20:53 +0200 Subject: Connectionists: [Call for papers] Discovery Science 2024 in Pisa Message-ID: 27th International Conference on Discovery Science (DS2024) October 14-16, 2024, Pisa, Italy http://ds2024.isti.cnr.it/index.html ***CALL FOR PAPER: MAIN RESEARCH TRACK*** Discovery Science 2024 conference provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The conference focus is on the use of Artificial Intelligence, Data Science and Big Data Analytics methods in science. Its scope includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains. Possible topics include, but are not limited to: - Artificial Intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science - Machine Learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc. - Knowledge Discovery and Data Mining - Anomaly and Outlier Detection - Time-Series Analysis - Spatial, Temporal and Spatiotemporal Data Analysis - Unstructured Data Analysis (textual and web data) - Data and Knowledge Visualization - Complex Network Analysis - Causal Modelling - Explainable AI and Interpretable Machine Learning - Human-Machine Interaction for Knowledge Discovery and Management - Data Streams, Evolving Data, Change Detection & Concept drift - AutoML, Meta-Learning, Planning to Learn - AI and High-performance Computing, Grid and Cloud Computing - AI and Cybersecurity - Computational Creativity - Learning from Complex Data - Process Discovery and Analysis - Evaluation of Models and Predictions in Discovery Setting - Applications of the above techniques in scientific domains, such as Physical sciences (e.g., materials sciences, particle physics), Life sciences (e.g., systems biology/systems medicine), Environmental sciences, Natural and social sciences ***IMPORTANT DATES*** Abstract submission (deadline): Monday June 3, 2024 Full paper submission (deadline): Monday June 10, 2024 Notification of acceptance: Monday July 22, 2024 Camera-ready version, author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) ***SUBMISSION PROCEDURE*** Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 15 pages in the LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website. Submissions will be reviewed following a single-blind procedure. Therefore, authors should include their names and affiliations in the paper. Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of DS? 2024. Submission System: https://cmt3.research.microsoft.com/DS2024/ At least one of the authors must be a registered participant at the conference to present the work. ***SPECIAL ISSUE*** The authors of a number of selected papers presented at DS 2024 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published. ***BEST PAPER AWARD*** There will be a Best Student Paper Award in the value of 550 Eur sponsored by Springer, and a Best Paper Award in the value of 550 Eur sponsored by Fondazione Area. Area. ***CALL FOR PAPER: SPECIAL TRACK SOBIGDATA*** SoBigData RI (www.sobigdata.eu) is a distributed, Pan-European, multi-disciplinary research infrastructure aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society. This year, Discovery Science and SoBigData RI, collaborate in order to have a special track. The topics are the same of the main track but focussed on experiments for the SoBigData research spaces: - Demography, Economy and Finance 2.0: traditional complex socio-economic financial systems in conjunction with emerging ones, in particular, block-chain & cryptocurrency markets and their applications such as smart property, Internet of things, energy trading, and smart contracts. - Disaster Response and Recovery: methods and tools to analyze, monitor, and improve post-disaster reconstruction processes in socio-economic areas, spatial planning, environmental health in cooperation with national and international institutions. - Health Studies: experiments addressing health-related issues, including medical, nutrition, environmental health and network medicine. It entails integrating multidisciplinary scientific research including machine learning techniques and AI technologies. - Pervasive Intelligence in Cyber-Physical Systems for Future Society: experiments on AI models for a dynamic and automatic allocation of resources capable of reacting to changes in services, application requirements, sustainability, and user-generated traffic. Specific attention will also be given to approaches based on the emulation of biological brain mechanisms, called Cyber-Physical systems, with the aim of creating a ?conscious system? able to self-control a large number of subsystems. - Societal Debates and Misinformation: experiments analyzing both discussions on social media and journalistic production to understand which are the most debated topics. - Next-Generation Internet: experiments investigating the effect of Next Generation Internet paradigms by developing user- and device-centric services for groups of mobile users based on direct communication between faredge devices, validating them in the same application areas. - Sustainable Cities for Citizens: experiments about the usage of mobile devices data, georeferenced social media data, or other spatio-temporal data to model human behavior and activities. - Submitted paper must refer to a specific research space. Submitted papers must contain all the references to data and methods used in order to be accessible to the SoBigData community and to be published on the platform catalog (only in case of acceptance). Accepted papers will be published in DS2024 proceedings and disseminated through the research infrastructure channels. ***IMPORTANT DATES & SUBMISSION PROCEDURE*** Abstract submission (deadline): Monday June 3, 2024 Full paper submission (deadline): Monday June 10, 2024 Notification of acceptance: Monday July 22, 2024 Camera-ready version, author registration: Monday August 5, 2024 All dates are specified as 23:59:59 SST (Standard Samoa Time / Anywhere on Earth) -- Francesca Naretto Ph.D. in Data Science francesca.naretto at sns.it SNS, Pisa | CNR, Pisa -------------- next part -------------- An HTML attachment was scrubbed... URL: From fm456 at cam.ac.uk Wed Apr 24 10:38:02 2024 From: fm456 at cam.ac.uk (Flavia Mancini) Date: Wed, 24 Apr 2024 14:38:02 +0000 Subject: Connectionists: JOB ALERT: postdoc & RA positions at the University of Cambridge Message-ID: Dear all, There are two positions available in my group at the University of Cambridge, in the Computational and Biological Learning research unit. 1 Postdoc ? 2 years ? Simulating & modelling neural dynamics involved in statistical/aversive learning and homeostatic/pain regulation ? Scope to develop new projects https://www.jobs.cam.ac.uk/job/46142/ 1 Research Assistant ? 1 year, extendible ? Behavioral and neuroimaging experiments ? To be advertised end April, start date asap More info: fm456 at cam.ac.uk Many thanks! Best wishes, Flavia Mancini Assistant Professor & MRC Career Development Fellow Nox Lab / Computational Biological Learning Research Group Department of Engineering / University of Cambridge Fellow, Pembroke College -------------- next part -------------- An HTML attachment was scrubbed... URL: From marieke.van.erp at dh.huc.knaw.nl Wed Apr 24 16:26:57 2024 From: marieke.van.erp at dh.huc.knaw.nl (Marieke van Erp) Date: Wed, 24 Apr 2024 20:26:57 +0000 Subject: Connectionists: Vacancies Computational Food History - Amsterdam - Postdoctoral Researcher & Ph.D. Candidate - ERC project TRIFECTA Message-ID: <63385867-0D3E-4325-8796-E46D6B99EC58@dh.huc.knaw.nl> *** Apologies for cross-posting *** DHLab Amsterdam is looking for a Ph.D. candidate and postdoctoral researcher to strengthen our team. We are looking for people with the following profiles: * You have an open-minded and collaborative attitude towards doing groundbreaking digital humanities research; * You have a firm grasp on computational methods and are willing to achieve proficiency in historical research methods or you are a food historian willing to achieve proficiency in computational methods; * Ph.D. candidates will need to have finished their master?s degree, postdoctoral researcher candidates will need to have finished their Ph.D. degree in history, digital humanities, language technology, semantic web or a related field by the starting date of the project; * Your English is excellent and you have or are willing to obtain a working proficiency in Dutch. Ph.D. Candidate vacancy: https://www.academictransfer.com/en/340228/phd-candidate-trifecta-food-history-dhlab-amsterdam/ Application deadline: 30 April 2024 Postdoctoral researcher vacancy: https://www.academictransfer.com/en/340479/postdoctoral-researcher-trifecta-food-history-dhlab-amsterdam/ Application deadline: 5 May 2024 In this use case, the Ph.D. candidate and postdoctoral researcher will work on Tracing Contentious Entities and Concepts in Food History. This entails developing technology to identify ingredients and food-related concepts from historical resources, as well as analysing how food habits and discourse around food have changed over time. On the digital methodological strand, this sub-project will study the impact of digital processing tools on the hermeneutical practice of historical research. Your work will intersect with the maritime history use case on shared concepts and entities. Why you should consider working with us: Location, location, location: Our offices are located in a historical building in downtown Amsterdam. Researchers work together in projects and a shared office space and can choose to spend part of their time at home. The team: We value a social, open and inquisitive, safe work environment where your input counts, not your job title, this means open conversations about pros and cons of a particular idea and approach based on content, not status. We also brew a mean cup of coffee and the office has a cooking club. Good to know: Ph.D. candidates are empoloyees in the Dutch academic system, this means that you receive a salary and you?re saving up for your retirement (can?t start early enough!). For postdoctoral researchers working at the Royal Netherlands Academy of Arts and Sciences means that you can focus on building your research profile without a teaching load. We do work together with various Dutch universities so some teaching is an option. About the procedure: Apply via the link provided in the AcademicTransfer.com listings. Please do not provide more information than what is requested (motivation letter, CV, and a publication if you have one). If the committee requires more information, they will ask. The hiring committee will review the applications and invite candidates for an online interview. We will be hiring for this use case as a team, this may mean that the postdoctoral researcher has a more technical background and the Ph.D. candidate a more humanities background or the other way around. Starting date & duration: the selected candidates are to start between 1 September & 1 November 2024. Both positions are for 4 years. For more information: browse the Trifecta and DHLab websites or contact the PI. ? https://www.mariekevanerp.com / @merpeltje Digital Humanities Lab / dhlab.nl KNAW Humanities Cluster / huc.knaw.nl https://odeuropa.eu - Sensory mining and olfactory heritage https://cultural-ai.nl - A lab for culturally valued AI https://trifecta.dhlab.nl - Better KGs for the humanities -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Wed Apr 24 18:31:40 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Thu, 25 Apr 2024 01:31:40 +0300 Subject: Connectionists: =?utf-8?q?ICSC_CFP_=28Co-Sponsored_by_IEEE=29=3A_?= =?utf-8?q?The_Fourth_Intelligent_Cybersecurity_Conference=2C_17?= =?utf-8?q?=E2=80=9320_September=2C_2024_=7C_Valencia=2C_Spain=2E?= Message-ID: [Apologies if you got multiple copies of this invitation] The Fourth Intelligent Cybersecurity Conference (ICSC2024) https://www.icsc-conference.org/2024/ 17?20 September, 2024 | Valencia, Spain. Technically Co-Sponsored by IEEE Spain Section *ICSC 2024 CFP:* In today?s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others. The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to: - Intelligent systems for effective detection of cyber-attacks - Advanced Intelligent systems and data analytics for Cloud/Edge systems security - Malware detection using intelligent systems Vulnerability assessment - Intelligent systems for intrusion detection in Internet of Things (IoT) systems - Network forensics using intelligent systems and data analytics - Data Analytics for privacy-by-design in smart health - Datasets, benchmarks, and open-source packages - Recourse efficient deep learning - Adversarial Machine learning and Backdoor Attacks - Blockchain Systems for Cyber Security - Trustworthy AI Systems - Intelligent Systems for Misinformation Detection *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages. *Important Dates:* - Paper submission deadline: May 15, 2024 - Notification of acceptance: July 25, 2024 - Camera-ready Submission: August 5, 2024 *Contact:* Please send any inquiry on ICSC to: info at iccns-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From katharina.eggensperger at uni-tuebingen.de Thu Apr 25 03:23:29 2024 From: katharina.eggensperger at uni-tuebingen.de (Katharina Eggensperger) Date: Thu, 25 Apr 2024 09:23:29 +0200 Subject: Connectionists: [AutoML 2024] 1st CfP: International Conference on AutoML 2024 - Workshop Track // Deadline 05.06.2024 Message-ID: <0f954e09-8e1d-454d-b275-966c17b886a9@uni-tuebingen.de> Hello (Auto-)ML Community, We invite submissions of papers to the workshop track of the 3rd International Conference on AutoML (09.09.2024 - 12.09.2024 in Paris). AutoML 2024 brings together researchers and users working on further automation of ML and its applications. We welcome submissions on any topic touching upon automating any aspect of machine learning. This includes work on automating the application, development, and efficient usage of generative AI. See a full list of topics here . This call specifically seeks short papers (up to 5 pages) for our non-archival Workshop track, providing a great platform for presenting and discussing early-stage research. We explicitly encourage the submission of short versions of work that is in preparation for, under review for, or accepted at top conferences occurring within 6 months of AutoML 2024 (a non-exhaustive list includes ICLR?24, ICML?24, and NeurIPS'24). More details can be found here . ====== Key dates: ? ?? Workshop paper submission deadline: 05.06.2024 [AoE] ? ? Author notification: 11.07.2024 [AoE] ====== Looking forward to your submissions, Katharina Eggensperger ? also on behalf of the general chair, Marius Lindauer and the other PC chairs, Joaquin Vanschoren and Roman Garnett. --- https://2024.automl.cc -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomg at princeton.edu Thu Apr 25 08:33:49 2024 From: tomg at princeton.edu (Tom Griffiths) Date: Thu, 25 Apr 2024 12:33:49 +0000 Subject: Connectionists: Postdoctoral positions in Natural and Artificial Minds at Princeton University Message-ID: <6C32CC7B-393A-4A98-93E0-F819912E24A5@princeton.edu> Dear colleagues, Please see the advertisement for postdoctoral positions below. We are looking for researchers who would be interested in projects focused on comparing AI systems to human cognition or using ideas from cognitive science to better understand those systems. Interested applicants can apply at https://puwebp.princeton.edu/AcadHire/position/34461 Best wishes, Tom -- Princeton University seeks to hire Postdoctoral Research Associates as part of a new initiative exploring the applications and implications of Artificial Intelligence. The Natural and Artificial Minds initiative takes advantage of advances in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Candidates should have recently received or are about to receive a Ph.D. or doctorate degree and have a strong interest and track record in designing, understanding, or engineering of AI models, and their applications in cognitive science. Applicants may also be interested in the AI for Accelerating Invention initiative, which is also seeking Postdoctoral Research Associates in a parallel job posting. To learn more about AI at Princeton, please visit https://ai.princeton.edu -- Tom Griffiths Henry R. Luce Professor of Information Technology, Consciousness and Culture Departments of Psychology and Computer Science Princeton University http://cocosci.princeton.edu/tom/ From stevensequeira92 at hotmail.com Thu Apr 25 12:05:03 2024 From: stevensequeira92 at hotmail.com (steven gouveia) Date: Thu, 25 Apr 2024 16:05:03 +0000 Subject: Connectionists: [Call for Abstract]: Palermo International Workshop: Ethics & Responsibility of IA and Medicine In-Reply-To: References: Message-ID: Palermo International Workshop: Ethics & Responsibility of IA and Medicine 6-7 June 2024, Uni. Palermo, Sicilia, Italy CALL FOR ABSTRACTS A Call for Abstracts is open until 18 May 2024 to select speakers for the Palermo International Workshop: Ethics and Responsibility of IA and Medicine, which will happen at the University of Palermo, Italy, on 6-7 June 2024. The accepted speakers will have 30 minutes to present their presentation and 15 minutes of Q&A. Any topic related to the Ethics and Responsibility of Artificial Intelligence and Medicine is welcome (official language: English). ?Keynote Speakers: Pii Telakivi (Helsinki University, Finland) Steven S. Gouveia (Uni. Porto, Portugal | Visiting Fellow, Uni. Palermo, Italy) Simona Tiribelli (University of Macerata, Italy) Tomi Kokkonen (Helsinki University, Finland) Silvia Dad? (University of Pisa, Italy) To submit your abstract, submit the following material: (i) one word. document with a title, abstract (250 words); (ii) a cover page with name, affiliation, short bio (50 words), and email contact; to stevensequeira92 at hotmail dot com There are no fees associated with participation in the Workshop. We are sorry to say that no travel/staying funding is available to support the accepted speakers. More info: https://trustaimedicine.weebly.com/palermo-international-workshop.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From nkopco at gmail.com Fri Apr 26 00:53:40 2024 From: nkopco at gmail.com (Noro Kopco) Date: Fri, 26 Apr 2024 06:53:40 +0200 Subject: Connectionists: PhD positions in Slovakia and USA Message-ID: PhD positions are available in Norbert Kopco's Perception and Cognition Lab in the Institute of Computer Science at Safarik University in Kosice, Slovakia, for a Marie Curie EU-funded project on Spatial Audio Virtualization and Gamification for Hearing Assessment and Enhancement ( https://pcl.upjs.sk/sav/). This is an international collaborative project, combining psychophysical, neuroimaging and computational methods to study and enhance the hearing abilities. As part of this project, the student would have the opportunity to work on development of modules for an auditory training game and spend up to 12 months in the US with one or more of the grant collaborators (Oregon Health Science University, Northeastern University, Mass General Hospital/Harvard Medical School, Boston University; see project web). Interested candidates please contact norbert.kopco at upjs.sk with a CV and a research statement. Information about PhD student application procedures is available at https://www.upjs.sk/prirodovedecka-fakulta/en/doctoral-studies-admission/ and http://www.upjs.sk/en/faculty-of-science/foreign-students/ (deadline is 31 May 2024; flexible). -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Thu Apr 25 09:25:33 2024 From: efipatm at gmail.com (Efi) Date: Thu, 25 Apr 2024 06:25:33 -0700 Subject: Connectionists: AIIA/AIDA/TEMA Summer School: "CVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024", 27-29 August 2024, Thessaloniki, Greece. Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the Artificial Intelligence and Information Analysis (AIIA ) Lab of Aristotle University of Thessaloniki (AUTH) in cooperation with (TEMA) R&D project, the International AI Doctoral Academy (AIDA ), is excited to invite you to register and attend the upcoming ?CVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024 ? which will take place in Thessaloniki, Greece from August 27th to 29th 2024. This Summer School offers a three-day short course that delivers an in-depth exploration of programming tools and techniques for addressing a variety of computer vision and deep learning challenges. The course focuses on the fundamentals of deep learning and its applications in Natural Disaster Management. Here's a glimpse of what the course entails: - Deep neural networks ? Convolutional NNs - 2D Object Tracking in Embedded Systems - Real Time Object Detection. - Real-Time Image Segmentation. - Natural Language Processing. - Explainability in Computer Vision applications. Additionally, hands-on programming workshops will be conducted on each topic, providing participants with practical experience and skills enhancement. *Details* *Host Institution*: *Aristotle University of Thessaloniki* *27, 28, 29 August 2024, 08:30 - 16:30 EEST (UTC + 3 hours)* *On-site Participation: KEDEA Building, AUTH, Thessaloniki, Greece * *General Registration* Early registration (till 15/07/2024) Students/Scientists, Engineers from other scientific disciplines having the necessary mathematical background are also welcomed to register. *Special Registration for AIDA Students** On top of the above registration, also enroll on this course using the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the program. *AIDA Students are PhD students/candidates or Postdoc researchers belonging to any AIDA member . Upon successful completion of the course, participants will receive a *certificate of attendance* issued by Aristotle University of Thessaloniki. *For more details, please visit*: https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-computer-vision-and-big-data-analytics-2024/ This summer school is technically sponsored by TEMA , AI.BIG Cluster , AIDA , AI4Media R&D projects. School Organizer: Prof. Ioannis Pitas Chair of the International AI Doctoral Academy (AIDA), Director of the Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece -------------- next part -------------- An HTML attachment was scrubbed... URL: From hlinka at cs.cas.cz Thu Apr 25 06:48:17 2024 From: hlinka at cs.cas.cz (Jaroslav Hlinka) Date: Thu, 25 Apr 2024 12:48:17 +0200 Subject: Connectionists: Postdoc/Junior researcher positions in Computational Neuroscience within the BRADY project Message-ID: <399fa340-a037-49b4-a3af-d7317cf03889@cs.cas.cz> *Postdoc/Junior researcher positions in Computational Neuroscience within the BRADY project* Several postdoctoral positions are available in the *Complex Networks and Brain Dynamics group (COBRA) at the Institute of Computer Science, Prague (Czech Republic)*. These positions are part of a larger, interdisciplinary consortium that was recently recommended for funding (OPJAK BRADY). The project topics include: *Topic 1*: Detailed biophysical modelling of neurotransmitter action (supervised by Pavel Sanda). *Topic 2*: Computationally efficient mean-field models of cortical microcircuits (supervised by Helmut Schmidt). *Topic 3*: Whole-brain dynamics with applications particularly to schizophrenia and Parkinson's disease (supervised by Gustavo Deco). *Topic 4*: Data-driven model inversion and personalized parameter identification (supervised by Nikola Jajcay). *Topic 5*: Modelling interventions into arousal dynamics (supervised by Jaroslav Hlinka). Other related topics may be considered based on their fit to the overall project. Further information can be found here: https://cobra.cs.cas.cz/brady. 1. Conditions * Positions are available immediately. * Contract is for 12-36 months duration. * Possibility of extension until end of project (30.6.2028), support for transition to tenure-track or external funding applications. * Applications will be reviewed on a rolling basis, until the positions are filled. * This is a full-time fixed term contract appointment. Part time contract negotiable. * Competitive monthly gross salary: 50 000 - 66 000 CZK based on qualifications and experience (net salary approx. 40 000 - 52 000 CZK). _Cost Of Living Comparison _ * Bonuses and travel funding for conferences and research stays depending on performance. * No teaching duties. * Applicants should: 1. Hold a PhD; up to 7 years from PhD defense at the start of employment. 2. Have a strong background in the fields related to computational neuroscience - mathematical, statistical skills, experience with data analysis, machine learning, computer programming (the exact combination depends on the particular topic, see above). 3. Be fluent in English. * *We seek curious, self-motivated, hard-working, team-spirited researchers.* * *Prior experience with time series and network analysis is advantageous, but not required. * * The applications are to be sent to bradyadmin at cs.cas.cz and should contain: 1. Curriculum Vitae. 2. Two letters of recommendation. The referees should send their recommendations directly to bradyadmin at cs.cas.cz. 3. A proof of the obtained degree. 4. Mention the *Ref. No. 2024/4*. *Do not hesitate to contact the project Scientific Coordinator for informal inquiries: Ing. Mgr. Jaroslav Hlinka, Ph.D. hlinka[at]cs.cas.cz, http://www.cs.cas.cz/hlinka/. * -- Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 00, Czech Republic Tel: (+420) 26605 3808 E-mail: hlinka at cs.cas.cz Web: http://www.cs.cas.cz/hlinka/ Complex Networks and Brain Dynamics Group (COBRA): http://cobra.cs.cas.cz -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Image1 Type: image/png Size: 3818 bytes Desc: not available URL: From jncor at dei.uc.pt Thu Apr 25 18:17:50 2024 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Thu, 25 Apr 2024 23:17:50 +0100 Subject: Connectionists: Generative AI - Foundations and Applications @EPIA Deadline April 30, 2024 Message-ID: Dear Colleague(s), below you will find the official Call for Papers for Generative AI - Foundations and Applications @ EPIA2024. Please feel free to distribute it to mailing lists you manage and to everybody who may be interested. -------------------------------------------------------------------------------- GenAI at EPIA2024 :: CALL FOR PAPERS -------------------------------------------------------------------------------- Generative AI - Foundations and Applications (GenAI at EPIA2024) 23rd Portuguese Conference on Artificial Intelligence - EPIA 2024 EPIA 2024 23rd EPIA Conference on Artificial Intelligence https://epia2024.pt/ September 3-6, 2024 Viana do Castelo, Portugal ******************************************************************************** Paper submission: April 30, 2024 ******************************************************************************** -------------------------------------------------------------------------------- Aims and Scope -------------------------------------------------------------------------------- The Thematic Track "Generative AI - Foundations and Applications" addresses practical and theoretical aspects related to the use of generative AI, focusing on cutting-edge research, methodologies, applications, challenges within the domain and broader societal impacts Submissions are encouraged on a variety of topics related to Generative AI, including but not limited to: - Theoretical Foundations of Generative AI - Innovative Algorithms and Architectures - Ethics, Bias, and Fairness in Generative AI - Creative and Artistic Applications - Industrial and Real-world Applications - Synthetic Data Generation and Utilization - Security, Privacy, and Robustness of Generative Models - Interpretability and Explainability of Generative Models - Integration with Other AI Technologies -------------------------------------------------------------------------------- Important Dates -------------------------------------------------------------------------------- Full paper submission (deadline): April 30, 2024 Notification of acceptance: June 15, 2024 Camera ready version, author registration: July 15, 2024 -------------------------------------------------------------------------------- Submission procedure -------------------------------------------------------------------------------- Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages. All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science). Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity. All papers should be submitted in PDF format through the EPIA?2024 submission Website (https://www.easychair.org/conferences/?conf=epia2024) selecting the track GenAI - Generative AI - Foundations and Applications). -------------------------------------------------------------------------------- PUBLICATION -------------------------------------------------------------------------------- Accepted papers will be included in the conference proceedings (Springer LNAI - Lecture Notes in Artificial Intelligence), provided that at least one author is registered in EPIA 2024 by the early registration deadline. Proceedings will be submitted for indexation by ISI Thomson, SCOPUS, DBLP, EI-Compendex among several other scientific databases. -------------------------------------------------------------------------------- ORGANIZING COMMITTEE -------------------------------------------------------------------------------- Penousal Machado, University of Coimbra, DEI, CISUC/LASI Jos? Machado, University of Minho, DI, ALGORITMI/LASI Paulo Moura Oliveira, University of Tr?s-os-Montes and Alto Douro Rui Prada, IST, University of Lisbon, INESC-ID -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Fri Apr 26 00:03:08 2024 From: jkrichma at uci.edu (Jeffrey L Krichmar) Date: Thu, 25 Apr 2024 21:03:08 -0700 Subject: Connectionists: SAB 2024 Paper Submission Deadline Extended to May 15th Message-ID: Dear Connectionists, Due to many requests, the submission deadline for SAB 2024 has been extended to May 15th! Because of the tight schedule, THERE WILL BE NO MORE EXTENSIONS. From Animals to Animats: 17th International Conference on the Simulation of Adaptive Behavior (SAB 2024) More information can be found at: https://sites.uci.edu/sab2024/ CALL FOR PAPERS - SAB 2024 ------------------------------------------- The Simulation of Adaptive Behavior (SAB) interdisciplinary conference brings together researchers in artificial intelligence, artificial life, computer science, cybernetics, ethology, evolutionary biology, neuroscience, robotics, and many other fields, to further our understanding of the behaviors and underlying mechanisms that allow natural animals and artificial agents to adapt and survive in complex, dynamic and uncertain environments. Animats denote the connection between animals and synthetic agents. The conference focuses on models and experiments designed to help characterize and compare various organizational principles and architectures underlying adaptive behavior in real animals and in animats. SAB 2024 solicits contributions dealing with any aspect of adaptive behavior. We especially invite submissions from researchers who connect biology and natural behavior to synthetic agents. Conference papers are peer-reviewed and accepted papers will be published in ?From Animals to Animats 17. SAB 2024.? Lecture Notes in Artificial Intelligence, Springer Nature. Venue -------- CalIT2 Auditorium University of California, Irvine Irvine, CA 92697 USA Important Dates ??????????? May 15, 2024: Deadline for paper submission May 15, 2024: Deadline for Workshop and tutorial proposals June30, 2024: Notice of acceptance July 15, 2024: Camera-ready papers September 9-12: Conference dates Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma https://sites.uci.edu/sab2024/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Thu Apr 25 10:15:09 2024 From: amir.kalfat at gmail.com (Amir Aly) Date: Thu, 25 Apr 2024 15:15:09 +0100 Subject: Connectionists: [Jobs] Available Ph.D. Position at the intersection of AI / Psychology / Human-Robot Interaction Message-ID: Dear All *Apologies for cross-posting* We are pleased to announce an opportunity for a funded PhD studentship (*Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health*) at Plymouth University, UK. The closing date for applications is *29**th May 2024 (**midnight, UK time) **(**The difference in tuition fees between national and international students will be waived for excellent international candidates**)*. Join our interdisciplinary team to shape the future of mental health care. *AI models like ChatGPT* fundamentally change the landscape for the automated delivery of psychological interventions. These models will likely make it possible to deliver *psychologically-informed treatment* at scale, meeting a substantial unmet need for these services. This project will develop datasets and software to deliver *Functional Imagery Training (FIT)* via mobile devices and, ultimately, via *embodied agents (robots)*. As a person-centred intervention, FIT presents an interesting challenge: the practitioner or AI must tailor responses to the content of what the 'client' says, and guide mental imagery exercises based on that personal content. By building an interdisciplinary team of psychologists and machine learning experts this project will deliver real-world impact with broad implications for mental healthcare. More details *about the topic *and *how to apply* are available at: https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-functional-imagery-training-via-generative-ai-to-improve-access-to-effective-psychological-interventions-for-health PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health at University of Plymouth jobs.ac.uk are now advertising a PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health. Discover exciting PhD opportunities on jobs.ac.uk. www.jobs.ac.uk If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK ------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeevankumar.gochhayat at students.iiserpune.ac.in Thu Apr 25 11:15:51 2024 From: jeevankumar.gochhayat at students.iiserpune.ac.in (Jeevan Kumar Gochhayat) Date: Thu, 25 Apr 2024 20:45:51 +0530 Subject: Connectionists: Deadline for CAMP 2024 application is extended till 1st May Message-ID: Dear All (Apologies for any reposting) , Deadline for applying is extended till 1st May. Applications for CAMP 2024 are still open ! . CAMP (Computational Approaches to Memory and Plasticity) summer school is a two-week program that provides Ph.D. students and postdocs with training in the areas of learning, memory, and plasticity in the brain. The program will take place between 1st and 17th July 2024 at IISER Pune , India. Deadline for application submission is 1st May,2024. Apply now at https://campiiser.com/ Please circulate the course information among labs/departments/students that might be interested. You can also follow us on X (formerly Twitter) : https://x.com/camp_course?t=p_3pXlqRl3yNmRgb83_AMQ&s=09 CAMP invites Ph.D. students, master?s students, final-year undergraduates, and postdocs worldwide from all backgrounds to CAMP at Pune. At this intensive 17-day course, students will be trained in theoretical and computational modeling of memory and plasticity in the brain, spanning different scales of space, time, and complexity. This year?s flavor of CAMP will be Data-Driven Neuroscience. The course will have lectures, hands-on tutorials, and projects to launch students into the exciting field of computational neuroscience. Accommodation and meals will be covered for the participants. More details on the poster. [image: CAMP2024V2_page-0001.jpg] For more information please visit https://campiiser.com/ or email us at: camp at acads.iiserpune.ac.in On behalf of the organisers, Aravind Kumar Collins Assisi Rishikesh Narayanan Suhita Nadkarni Upi Bhalla -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CAMP2024V2_page-0001.jpg Type: image/jpeg Size: 594936 bytes Desc: not available URL: From frank.loebe at informatik.uni-leipzig.de Thu Apr 25 21:10:40 2024 From: frank.loebe at informatik.uni-leipzig.de (Frank Loebe) Date: Fri, 26 Apr 2024 03:10:40 +0200 Subject: Connectionists: CfPart - 10th Int. ScaDS.AI Summer School on AI and Big Data (June 25-28, 2024, Leipzig, Germany) Message-ID: Call for Participation - 10th Int.?ScaDS.AI?Summer School - Speaker Announcement (June 25-28, 2024, in Leipzig, Germany? - register early by April 30) We are very pleased to announce the internationally renowned experts below for the 10th International ScaDS.AI Summer School on Artificial Intelligence and Big Data, held from June 25 to 28, 2024 in Leipzig, Germany. In the school's courses, they will provide insights into their research, discuss exciting topics, and exchange ideas with the participants. *Mathematical Foundations of AI*** * Guido Mont?far ?(University of California, Los Angeles, USA) * Ingo Steinwart ?(University of Stuttgart, Stuttgart, Germany) * Pawe? D?otko ?(Polish Academy of Sciences, Warsaw, Poland) * S?ren Hauberg ?(Technical University of Denmark, Lyngby, Denmark) *Earth and Environmental Sciences and AI* * Jonathan Bedford ?(Ruhr University, Bochum, Germany) * Christopher William Johnson ?(Los Alamos National Laboratory, New Mexico, USA) * Willi Schimmel ?(Leibniz Institute for Tropospheric Research, Leipzig, Germany) * Josefine Umlauft ?(ScaDS.AI?Dresden/Leipzig, Leipzig, Germany) * Lily-Belle Sweet ?(Helmholtz Centre for Environmental Research, Leipzig-Halle, Germany) *Protein Design/Drug Design and? AI* * Oliver Koch ?(University of M?nster, M?nster, Germany) * Stanislav Masurenko ?(Masaryk University, Brno, Czech Republic) * Alena Khmelinskaia ?(LMU Munich, Munich, Germany) * Florian Praetorius ?(Institute of Science and Technology Austria, Klosterneuburg, Austria) * Gerrit Grossmann ?(German Research Center for Artificial Intelligence, Saarbr?cken, Germany) *Generative AI* * Martin Potthast ?(University of Kassel, Kassel, Germany) * Robert Haase ?(ScaDS.AI?Dresden/Leipzig, Leipzig, Germany) *Human Computer Interaction (HCI)* * Pavlo Bazilinskyy ?(University of Technology, Eindhoven, Netherlands) * Daniel Schneider ?(ICCAS / Leipzig University, Leipzig, Germany) * Patrick Ebel ?(ScaDS.AI?/ Leipzig University, Leipzig, Germany) * Adrian Lindenmeyer ?(ScaDS.AI?Dresden/Leipzig, Leipzig, Germany) *Responsible AI* * Matthias Braun ?(University of Bonn, Bonn, Germany) * Rainer M?hlhoff ?(University of Osnabr?ck, Osnarbr?ck, Germany) * Jens Lehmann ?(ScaDS.AI?Dresden/Leipzig, Dresden, Germany) * Rudolf Seising ?(Deutsches Museum, Munich, Germany) Participation details 10. International ScaDS.AI Summer School | June 25?28, 2024 Venue: Mekong in Gondwanaland, Zoo Leipzig, Pfaffendorfer Str. 29, 04105 Leipzig, Germany *Registration at: https://pretix.eu/infai/SummerSchool2024/* Early-bird registration ends on *April 30, 2024* Further information: https://scads.ai/summer-school-2024 Program summary The Summer School offers a 4-day program with international experts, highlight presentations of German AI competence centers, and numerous opportunities for exchange. The program is aimed at students, researchers, and practitioners in the fields of Machine Learning, Artificial Intelligence and/or Big Data. The use of AI will be made visible and tangible in various sessions, with insights into the latest developments from internationally renowned experts. Participants will be offered a wide range of opportunities for scientific exchange and collaboration. In addition, social activities include a city tour, dinner in a traditional restaurant up to dragon boating together, thereby creating further occasions for networking and interaction. The Summer School is organized by ScaDS.AI Dresden/Leipzig under the lead of Eric Peukert and Erhard Rahm from Leipzig University and Ren? J?kel and Wolfgang Nagel from Dresden University of Technology. *Contact*: scads.ai.events at uni-leipzig.de (reaching Jana Bendigs,?ScaDS.AI?Dresden/Leipzig, Leipzig University) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Fri Apr 26 04:28:02 2024 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Fri, 26 Apr 2024 08:28:02 +0000 Subject: Connectionists: Abstracts submission by 17th May for the UK Neural Computation meeting July 8-10th, Sheffield In-Reply-To: References: Message-ID: Abstract submission is open for the UK Neural Computation meeting 2024 (Sheffield 8-10th July) https://neuralcomputation.uk/ A national meeting for everyone interested in the computations of the brain, both experimentally and theoretically Abstracts: https://neuralcomputation.uk/submission.html Deadline of 17th May 2024 4 submitted abstracts will be selected for main meeting talks Registration: https://neuralcomputation.uk/registration.html Deadline of 21st June 2024 Discounted accommodation options also available. 8 July: ECR day. ~40 places are available 9-10 July: main meeting Please spread the word! Enquiries: uknc24 at sheffield.ac.uk Organisers Hannes Saal (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From roman.bauer111 at gmail.com Fri Apr 26 04:22:11 2024 From: roman.bauer111 at gmail.com (roman bauer) Date: Fri, 26 Apr 2024 09:22:11 +0100 Subject: Connectionists: PhD studentship in Computational Neuroscience Message-ID: Dear all, A fully funded PhD position in Computational Neuroscience is available at the University of Cyprus in collaboration with the University of Surrey (UK), titled ?Brain Neuronal Networks Development via Multiscale Agent-based Modelling?. More details are available here . The closing date for applications is May 31st, 2024. *Project summary* Here, we will demonstrate an innovative computational approach to model and emulate biological neural networks (NNs): rather than directly modelling a brain with all its complexity, we will model NN development from a single precursor cell. In other words, by leveraging the same approach that nature uses to build brains, we aim to reproduce challenging neural complexities. Inspired by the biological brain, we will make use of developmental rules that are encoded in a gene-type manner. For instance, a rule could be that a given neural stem cell should divide under certain conditions while they could migrate under others. Similarly, neural connections develop according to well-conserved mechanisms that are adaptive to individual neurons? activities and wiring patterns. To inform the computational modelling, we will make use of data from experimental studies as well as synthetic, simulated data. Well-established characteristics of biological NNs will be used to inform realistic NNs, both structurally as well as functionally. We will make use of innovative machine learning techniques to match the in-silico NNs with specific organisms. In the early stages, we will employ synthetically generated NNs as a test scenario, and iteratively increase biological correspondence. We will make use of the agent-based modelling software BioDynaMo ( www.biodynamo.org), an open-source software we have been actively developing for almost a decade. Notably, this project builds on previous work of the supervisory team, including for instance the simulation of a spatially embedded, functional, and biologically realistic neural network that self-organized from a single precursor cell (link ). *Training* The studentship is highly interdisciplinary, because it is at the interface of computer science and neuroscience. Machine learning will constitute a core component of this studentship. This work will benefit from the prestigious BioDynaMo collaboration (www.biodynamo.org). Tight involvement with the collaboration will support the student in obtaining training in the usage of modern computational biology methodologies. Moreover, the student will benefit from weekly seminars and daily interactions with computational and experimental researchers, as well as the research groups of the supervisors (https://in-silico-modelling.ucy.ac.cy/ and www.combynelab.com). *Supervisory team* The project will be supervised by Dr Roman Bauer (r.bauer at surrey.ac.uk) and Prof. Vasileios Vavourakis (vavourakis.vasileios at ucy.ac.cy). Interested candidates are encouraged to contact either one of the supervisors in case of questions. Best regards, Roman *Roman Bauer, Ph.D.Senior LecturerBioDynaMo SpokespersonComputer Science Research CentreUniversity of SurreyGuildford, UK* -------------- next part -------------- An HTML attachment was scrubbed... URL: From andreas.wichert at tecnico.ulisboa.pt Fri Apr 26 05:37:34 2024 From: andreas.wichert at tecnico.ulisboa.pt (Andrzej Wichert) Date: Fri, 26 Apr 2024 10:37:34 +0100 Subject: Connectionists: Books on Quantum Artificial Intelligence with Qiskit and Mind, Brain, Quantum AI, and the Multiverse Message-ID: Dear All, I recently published two books: "Quantum Artificial Intelligence with Qiskit? was published by Chapman and Hall/CRC https://www.routledge.com/Quantum-Artificial-Intelligence-with-Qiskit/Wichert/p/book/9781032448978 Quantum Artificial Intelligence (QAI) is a new interdisciplinary research field that combines quantum computing with Artificial Intelligence (AI), aiming to use the unique properties of quantum computers to enhance the capabilities of AI systems. Quantum Artificial Intelligence with Qiskit provides a cohesive overview of the field of QAI, providing the tools for readers to create and manipulate quantum programs on devices as accessible as a laptop computer. Introducing symbolical quantum algorithms, sub-symbolical quantum algorithms, and quantum Machine Learning (ML) algorithms, this book explains each process step by step with associated Qiskit listings. All examples are additionally available for download at https://github.com/andrzejwichert/qai. Allowing readers to learn the basic concepts of quantum computing on their home computers, this book is accessible to both the general readership as well as students and instructors of courses relating to computer science and AI. "Mind, Brain, Quantum AI, and the Multiverse? was published by Chapman and Hall/CRC https://www.routledge.com/Mind-Brain-Quantum-AI-and-the-Multiverse/Wichert/p/book/9781032149608 There is a long-lasting controversy concerning our mind and consciousness. Mind, Brain, Quantum AI, and the Multiverse proposes a connection between the mind, the brain, and the multiverse. The author introduces the main philosophical ideas concerning mind and freedom, and explains the basic principles of computer science, artificial intelligence of brain research, quantum physics, and quantum artificial intelligence. He indicates how we can provide an answer to the problem of the mind and consciousness by describing the nature of the physical world. His proposed explanation includes the Everett Many-Worlds theory. This book tries to avoid any non-essential metaphysical speculations. The text is an essential compilation of knowledge in philosophy, computer science, biology, and quantum physics. It is written for readers without any requirements in mathematics, physics, or computer science. Maybe it is of some interest to you. Best Wishes, Andreas Wichert --------------------------------------------------------------------------------------------------- Andreas Wichert Associated Professor with Habilitation Departamento Engenharia Inform?tica Instituto Superior T?cnico - Universidade de Lisboa Campus IST-Taguspark Avenida Professor Cavaco Silva 2744-016 Porto Salvo, Portugal Phone: +351 214233231 http://web.tecnico.ulisboa.pt/andreas.wichert/ From sahidullahmd at gmail.com Fri Apr 26 21:14:21 2024 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Sat, 27 Apr 2024 06:44:21 +0530 Subject: Connectionists: Ph.D. Fellowships in Computer Science and Mathematics at IAI, TCG CREST Message-ID: Apologies for cross-posting ====================== Dear colleagues, Greetings! I am writing on behalf of the Institute for Advancing Intelligence (IAI) of TCG Centres for Research and Education in Science and Technology (TCG CREST). I would like to inform you that IAI of TCG CREST is offering Ph.D. fellowships in broad areas of Computer Science and Mathematics with a special focus on Cryptography and Security, Quantum Information and Quantum Cryptography, Mathematics and its Applications, Artificial Intelligence and Machine Learning. The Ph.D. degree will be awarded in collaboration with *AcSIR (Academy of Scientific and Innovative Research)*. The online application portal is open now. Interested candidates may apply online by filling up the application form by *April 30, 2024*, provided on the admission page ( https://www.tcgcrest.org/iai-admission-2024/). All the necessary details regarding our admissions process are available therein. It would be of great help if you could kindly circulate this e-mail to the final-year Master's students in your department. Also please feel free to inform students who graduated the previous year who are interested in pursuing a research career. In case of any queries, please feel free to get in touch with our academic coordinator: academic.coordinator at tcgcrest.org. The flyer is attached with the mail. Thanks and regards, Md Sahidullah -- Md Sahidullah Assistant Professor, Institute for Advancing Intelligence, TCG CREST, India https://www.linkedin.com/in/md-sahidullah-4241a3247/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: IAI_Phd_2024-Advertisement.pdf Type: application/pdf Size: 87500 bytes Desc: not available URL: From jojaram6 at gmail.com Fri Apr 26 10:55:08 2024 From: jojaram6 at gmail.com (Jorge Jaramillo) Date: Fri, 26 Apr 2024 09:55:08 -0500 Subject: Connectionists: Postdoctoral position in Computational Neuroscience at UChicago In-Reply-To: References: Message-ID: one more week to apply! (apologies for cross posting) Dear Neuroscience community, > > > https://neuroscience.uchicago.edu/postdoctoral-fellow-computational-neuroscience > > We are looking for an outstanding applicant to develop large-scale > circuit models for decision making within a collaborative consortium that > includes the Allen Institute for Neural Dynamics, New York University, and > the University of Chicago. This ambitious NIH-funded project requires the > creativity and expertise to integrate multimodal data sets (e.g., > connectivity, large-scale neural recordings, behavior) into a comprehensive > modeling framework. The successful applicant will join Jorge Jaramillo?s Distributed > Neural Dynamics and Control Lab at the Grossman Center at the University of > Chicago. The Grossman Center Core Faculty | Neuroscience Institute > Throughout > the course of the postdoctoral training, there will be opportunities to > visit the other sites in Seattle (Karel Svoboda) and New York (Adam Carter, > Xiao-Jing Wang) for additional training and collaboration opportunities. > > Appointees will join as Grossman Center Postdoctoral Fellows at the > University of Chicago and will have access to state-of-the-art facilities > and additional opportunities for collaboration with exceptional > experimental labs within the Department of Neurobiology, as well as other > labs from the departments of Physics, Computer Sciences, and Statistics. > The Grossman Center offers competitive postdoctoral salaries in the vibrant > and international city of Chicago, and a rich intellectual environment that > includes the Argonne National Laboratory and the Data Science Institute. > Postdoctoral fellows will also have the possibility to work in additional > projects with other Grossman Center faculty members. > > Application: Please send your application before May 1st 2024 as a single > PDF file including: i) a CV with publications highlighted; ii) a > motivation letter specifying how you can contribute to large-scale circuit > modeling and data analysis based on current and previous work; iii) the > contact details of two academic references to jorgejaramillo at uchicago.edu > . A doctoral degree and sufficient computational background is required; > informal enquiries are welcome. > > Starting date: The position is available immediately, starting date can > be defined via mutual agreement. > > The University of Chicago is committed to sustaining a diverse, equitable > and inclusive workplace. All qualified applicants will receive > consideration for employment without regard to race, color, creed, > religion, national origin, sex, sexual orientation, marital status, > pregnancy, genetic information, gender identity or expression, age, > disability, or protected veteran status. Underrepresented minorities are > strongly encouraged to apply. > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Sat Apr 27 03:59:30 2024 From: suashdeb at gmail.com (Suash Deb) Date: Sat, 27 Apr 2024 13:29:30 +0530 Subject: Connectionists: ISCMI 2024 ( Melbourne, Australia) - Submission deadline approx 2 months away Message-ID: Dear esteemed colleagues, Summer greetings from India. Hope you are doing well. This is to gently remind you that the submission deadline for 2024 11th ISCMI (Melbourne, Australia), the annual flagship event of llCCl and technically co sponsored by IEEE Victorian Section and it's IEEE CIS Chapter, is a little more than 2 months away http://iscmi.us/ I solicit your help in alerting your peers, students and others accordingly and motivate them to prepare for submitting manuscripts. I am also attaching a flyer of the event to enable you to disseminate among your peers. Thanks and will look forward to receiving manuscripts from you/your peers in the coming days. With kind regards, Suash Deb General Chair, ISCMI 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ISCMI 2024 CFP-4.8.pdf Type: application/pdf Size: 389104 bytes Desc: not available URL: From boubchir at ai.univ-paris8.fr Sun Apr 28 02:43:53 2024 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Sun, 28 Apr 2024 08:43:53 +0200 Subject: Connectionists: CFP - HSI 2024 - Special Session "Advances in artificial intelligence and learning in Healthcare" In-Reply-To: References: Message-ID: <5903162e-1329-46f5-9493-2972a32006f6@ai.univ-paris8.fr> We do apologize if this CfP reaches you more than once. -------------------------------------------- Call for papers ? Special session on "Advances in artificial intelligence and learning in Healthcare", in the 16th International Conference on Human System Interaction (HSI), Paris, France, July 8-11, 2024. https://hsi2024.welcometohsi.org/ Deadline : *April 30, 2024* -------------------------------------------- Advances in artificial intelligence and learning in Healthcare Artificial Intelligence (AI), in particular Artificial Learning (AL), becomes a useful solution for many complex human-centred problems. In healthcare, various approaches based on AI/ML have been proposed as innovative solutions for several research problems in health data analysis related to detection, diagnosis, surveillance, prediction, decision-making, etc. The aim of this special session is to bring together researchers and scientists from academia and industry, as well as practitioners working in this field, to present and discuss their recent studies and developments. We welcome research contributions for the following (but not limited to) topics: * AI/AL for health informatics * AI/AL for digital health (health information, health services, telehealth, health online, digital healthcare, digital therapeutics, mobile health, ?) * AI/AL for biomedical and health-related data processing (segmentation, denoising, compression, classification, clustering, forecasting, ?) * AI/AL for biomedical signal analysis and processing (EEG, ECG, PPG, PCG, EMG, EOG, ?) * AI/AL for medical image analysis and processing (MRI, fMRI, DTI, PET, CT, SPECT, DOT, ?) * AI/AL-driven tools for problem-solving and decision-making in healthcare * AI/AL for diseases detection, diagnosis, and/or surveillance * AI/AL for epidemic tracking and forecasting * AI/AL in biomedical engineering * AI/AL in bioinformatics * AI/AL in brain-computer interfaces (BCI) * AI/AL in neurofeedback * AI/AL in neural rehabilitation engineering * Smart healthcare and related applications (IoT, IoMT, Big Data, Cloud/Edge/Fog computing, ?) *Organizers: * * Larbi Boubchir (LIASD ? University of Paris 8, France) * Boubaker Daachi (LIASD ? University of Paris 8, France) -------------- next part -------------- An HTML attachment was scrubbed... URL: From battleday at g.harvard.edu Sat Apr 27 20:32:34 2024 From: battleday at g.harvard.edu (Battleday, Ruairidh) Date: Sat, 27 Apr 2024 20:32:34 -0400 Subject: Connectionists: Videos posted for AE Spring Summit on Fundamental Challenges for AI (Algorithm Developement) Message-ID: ------------------------------ Last week we held a Summit on the Fundamental Technical Challenges for ML/AI Development at the Computer History Museum in Palo Alto (April 15th). The videos are now available free-of-charge at the below link: https://youtube.com/playlist?list=PLA59nMLAkDyjuCkh7_6E5QSYv8ZNzXipf&si=mZodXr2ZNmIz1N65 *Keynotes* Professor Jay McClelland (Stanford / DeepMind) Professor Bin Yu (UC Berkeley) Professor Diyi Yang (Stanford) Professor Sergey Levine (UC Berkeley) *Panels* New Landscapes for AI Research New Professional Pathways Challenges for AI in Biomedicine Fundamental Challenges We hope you enjoy! The Thinking About Thinking Team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Sun Apr 28 08:26:59 2024 From: dhansel0 at gmail.com (David Hansel) Date: Sun, 28 Apr 2024 15:26:59 +0300 Subject: Connectionists: =?utf-8?q?World_wide_VVTNS_series=3A_Wednesday=2C?= =?utf-8?q?_May_1st_2024_at_11am_=28EDT=29=2C_Lorenzo_Fontolan=2C_U?= =?utf-8?q?niversit=C3=A9_Aix-Marseille=7C_=22Neural_mechanisms_of_?= =?utf-8?q?memory-guided_behaviour=22?= In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Lorenzo Fontolan Universit? Aix-Marseille on the topic of "Neural mechanisms of memory-guided behaviour*"* The lecture will be held on zoom on *May 1st, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Persistent, stimulus-dependent neuronal activity has been observed in numerous brain areas during tasks that require the temporary maintenance of information. Several competing hypotheses for the neuronal mechanisms underlying persistent activity have been proposed. We have employed data-driven models in conjunction with optogenetic disruptions of neural circuits within memory-guided motor tasks. Our findings revealed a mechanism governed by dynamic attractors, pivotal in sustaining neuronal activity. This mechanism, shaped by time-varying inputs reflecting temporal predictions, is instrumental in regulating the impact of sensory information on the premotor cortex, thereby preserving memory traces from distracting stimuli. We then asked how persistent activity driven by attractor dynamics emerges during motor learning. It has been proposed that activity-dependent synaptic plasticity underpins motor learning, as it can reconfigure network architectures to produce the appropriate neural dynamics for specific behaviors. To verify this hypothesis, we investigated how the mouse premotor cortex acquires specific neural dynamics that govern the planning of movement at different stages of motor learning. We developed network models that replicated the effects of acute manipulations of synaptic plasticity. The models, which display attractor dynamics, also explain flexible behavior after learning has ended. By leveraging the model's predictions, we can formulate testable hypotheses regarding the distinct mechanisms governing movement planning at various stages of the learning process. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? ? ? ? -- "? ?????? ????? ???? ???? ?????" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From wanling.cai at tcd.ie Sun Apr 28 17:36:58 2024 From: wanling.cai at tcd.ie (Wanling Cai) Date: Sun, 28 Apr 2024 21:36:58 +0000 Subject: Connectionists: ACM UMAP 2024 Grants (Application Deadline: 10 May) Message-ID: * We apologize if you receive multiple copies of this email * * Online version: https://www.um.org/umap2024/grants-and-support/ ACM UMAP 2024 ? Grants and Support ---------------------------------------------------------------------------------------- ACM UMAP 2024: The 32nd ACM Conference on User Modeling, Adaptation and Personalization Cagliari, Sardinia, Italy July 1-4, 2024 ---------------------------------------------------------------------------------------- Thanks to the generous support by ACM SIGWEB, UM Inc. and US NSF, we are able to provide grants for participants at ACM UMAP 2024. This program is intended to help students and early career researchers attend ACM UMAP 2024. Preference in financial support will be given to Doctoral Consortium presenters and to students who are first authors and will present the paper at the conference. Preference will be also given to underrepresented groups in computer science as well as attendees from economically developing countries. All individuals receiving support may be requested to help with small organization tasks during the conference. The eligibility and special rules can be found as follows. Funds will cover the registration cost at the rate of ACM Membership. Travel expenses may be partially covered. ---------------------------------------------------------------------------------------- How to Apply ---------------------------------------------------------------------------------------- Requested Documents Please have the following information prepared: * A short statement (1-2 paragraphs) explaining your interest in participating in ACM UMAP 2024. * Title of accepted papers in the conference. * Estimated travel cost (if needed). * Attendance type (workshop, main conference, both). * A brief letter from a supervisor or advising professor in case of students. This letter (in PDF or scanned PDF) must confirm: that you are a valid student, the available funding from your university/department/supervisor/ other funding resources; that your supervisor has reviewed your budget and agrees that it is reasonable. The letter should include your supervisor?s signature. Application Form. https://forms.gle/mzugR6pWyM5Lq65R8 Please access the application form and send the documents you prepared. Deadlines * Grant application deadline ? 10 May 2024 * Grant application notification ? 15 May 2024 ---------------------------------------------------------------------------------------- Contact: UMAP 2024 Student Support Chairs (umap2024-studentsupport at um.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Mon Apr 29 02:15:15 2024 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Mon, 29 Apr 2024 06:15:15 +0000 Subject: Connectionists: ESANN 2024 - deadline extension Message-ID: ESANN 2024 - 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) and online, 9-10-11 October 2024 https://www.esann.org Extended submission deadline Due to numerous requests the submission deadline for the ESANN 2024 conference has been extended to 6 May 2024. Please note that no further extensions will be granted. We look forward to seeing you at ESANN 2024, The Organising Committee. ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From fmschleif at googlemail.com Mon Apr 29 01:38:35 2024 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Mon, 29 Apr 2024 07:38:35 +0200 Subject: Connectionists: Call for participation WSOM+ 2024 (near to the European Capital of Culture'25) Message-ID: -- Apologies in advance for multiple postings -- ************ WSOM+ 2024 ************ 15th International Workshop on Self Organizing Maps,Learning Vector Quantization & Beyond Mittweida, Germany, 10-12 July 2024, wsom.si-cim.de Register now: https://www.forschung.hs-mittweida.de/en/webs/welcome/registration/ Initial program: https://www.forschung.hs-mittweida.de/en/webs/welcome/program/ Confirmed invited speakers: - John Aldo Lee - University catholique de Louvain, Belgium - Barbara Hammer - University Bielefeld, Germany - Peter Tino - University of Birmingham, United Kingdom Workshop on Self Organizing Maps, Learning Vector Quantization & Beyond (!) WSOM+ is the premium international conference on self-organizing maps (SOM) and learning vector quantization (LVQ) for unsupervised and supervised data analysis as well as related areas like data visualization, statistical data analysis and interpretable data exploration. Contributions about theory, data analysis and respective applications are highly welcome. Covered topics: + Theory of SOM, LVQ and related models + Prototype-based learning models + Data Visualization + Statistical Data Analysis and Machine Learning + Interpretable Models + Confidence & Transfer Learning + Applications in Medicine/Biology + Engineering Applications Sight note - to the European Capital of Culture 2025 https://chemnitz2025.de/en/ See you - all the best Frank -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science Technical University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at thws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From stm at socio.org.uk Mon Apr 29 06:46:19 2024 From: stm at socio.org.uk (STM STMet 2024) Date: Mon, 29 Apr 2024 16:16:19 +0530 (IST) Subject: Connectionists: Real-Time Intelligent Systems 2024 Message-ID: <1362810359.3460750.1714387579555@ap1.myprofessionalmail.com> Sixth International Conference on Real-Time Intelligent Systems (RTIS 2024) Tien Giang University My Tho (near Ho-chi-Minh) Vietnam October 17-19, 2024 www.socio.org.uk/rtis Springer Lecture Notes in Networks and Systems (LNNS) The International Conference on Real-time Intelligent Systems (RTIS) has traveled from Beijing, China (2016), to Ho-Chi-Min, Vietnam. The sixth edition will take place at Tien Giang University. Over the last few years, real-time intelligent computing has radically transformed the human lifestyle. Research on real-time intelligent systems is multi-disciplinary, exploiting concepts from diverse areas such as big data processing, computational intelligence, location-based services, recommendation systems, and multimedia processing. In today?s highly dynamic environment, analysing data in real-time is necessary to understand how systems process data, reason the outputs, and anticipate trends in intelligent computing. To this end, this conference will serve as a platform to manifest the ongoing research in the field. Thus, RTIS welcomes theoretically grounded, methodologically sound papers that address aspects related to topics, such as: Artificial Intelligence and Data mining Streaming data, streaming engines Trace-based intelligent real-time services Adaptive vision algorithms Location-based services Intelligent Robotic Systems Collaborative Intelligence Data capture in real-time Data quality and cleansing Intelligent Data Analysis Intelligent Database Systems Knowledge representation and reasoning Intelligent information fusion Large Language Models, cognitive methods, sequential inference, data mining, pattern/behavioral analysis, Big Data systems and applications for high-velocity data Intelligent Information Systems Privacy and security in Intelligence Software Engineering Solutions Intelligent Soft Computing Real-time multiprocessor systems Internet of Things Architectures for Intelligence Real-time distributed coding Smart services and platforms Real-time modelling user information needs Wireless Communication Real-time intelligent communication Real-time intelligent network solutions Mobile Smart Systems Broadband Intelligence Cloud Computing and Intelligence Collaborative Intelligence Analysis in domains such as energy, sensors Decision support systems in real-time Multi-agent Intelligent Systems Multilingual information access Recommendation systems Real-time intelligent alert systems Real-time remote access systems Intelligent Transportation Systems Autonomous systems (incl. autonomous vehicles and drones) Distributed systems Cloud/edge computing/fusion Defence/security, robotics, aerospace, intelligent transportation Mining/Manufacturing Environmental monitoring Critical Real-time Applications Real-time noise removal systems Event-driven analytics Intelligent Fuzzy Systems Machine translation in real-time OLAP for real-time decision support Crowdsourcing and crowd intelligence Submission, proceedings Papers must be submitted online through OpenConf. Author instructions and LaTex2e (preferred) and Word macro files are available on the submission page. Submitted papers should be at most 14 pages (long papers) and 8 pages (short ones), including figures, tables and references (in the Springer template). Authors of accepted papers are required to transfer their copyrights. For a paper to appear in the proceedings, at least one of the authors MUST register for the conference by the camera-ready submission deadline with a full registration. Springer?s Lecture Notes in Networks and Systems (LNNS) (https://www.springer.com/series/15179) will publish the accepted papers and be indexed in SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, and SCImago. All the papers published in the series are submitted for consideration in the Web of Science. Important Dates Submission of papers: August 05, 2024 Notification: September 01, 2024 Camera-ready: October 01, 2024 Registration: October 01, 2024 Conference Dates: October 17-19, 2024 Honorary Chair Vo Ngoc Ha, Tien Giang University, Vietnam General Chairs Le Minh Tung, Tien Giang University, Vietnam Mart?n L?PEZ-NORES, University of Vigo, Spain Program Chairs Nguyen Hoang Vu, Tien Giang University, Vietnam Pit Pichappan, Digital Information Research Labs, India & UK Dion Goh Hoe Lian, Nanyang Technological University, Singapore Co-Program Chairs Duong Van Hieu, Tien Giang University, Vietnam Ricardo Rodriguez-Jorge, Technological Centre Ceit, Spain Pavel Losket, Zhejiang University-University of Illinois at Urbana Champaign Institute, China Organizing Chair Cao Nguyen Thi, Tien Giang University, Vietnam Publicity Chair Beniysa Mohsin, LTI laboratory, Abdelmalek Essa?di University, Morocco Paper submission at https://socio.org.uk/rtis/paper-submission/ Contact stm at socio.org.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicolo.navarin at unipd.it Mon Apr 29 04:38:14 2024 From: nicolo.navarin at unipd.it (Nicolo' Navarin) Date: Mon, 29 Apr 2024 10:38:14 +0200 Subject: Connectionists: Call for Papers: deadline extended special session on "Informed Machine Learning for Complex Data" at ESANN 2024 Message-ID: <2A7CD820-7CB0-4F83-8170-CA242EF0BF99@unipd.it> [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Informed Machine Learning for Complex Data" at ESANN 2024 - https://www.esann.org/special-sessions European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2024). 9-11 October 2024, Bruges, Belgium - http://www.esann.org DESCRIPTION: In the contemporary era of data-driven decision-making, the application of Machine Learning (ML) on complex data (e.g., images, text, sequences, trees, and graphs) has become increasingly pivotal (e.g., LLM and GraphNN for Drugs Discovery). In this context, there is a gap between purely data-driven models and domain-specific knowledge, requirements, and expertise. In particular, this domain specificity needs to be integrated into the ML models to improve learning generalization, sustainability, trustworthiness, reliability, security, and safety. This additional knowledge can assume different forms, e.g.: - software developers require ML to comply with many technical requirements; - companies require ML to comply with economic and environmental sustainability; - domain experts require ML to be aligned with physical and logical laws; - society requires ML to be aligned with ethical principles. This special session aims to gather valuable contributions and early findings in the field of Informed Machine Learning for Complex Data. Our main objective is to showcase the potential and limitations of new ideas, improvements, or the blending of Artificial Intelligence, Machine Learning, and other research areas in solving real-world problems. We invite both theoretical and practical results to this special session. TOPICS OF INTEREST: - Data-informed ML (e.g., the ability to directly learn from complex data) - Technically-informed ML (e.g., regressiveness, replicability, and security) - Sustainability-informed ML (e.g., ability to learn and predict efficiently from data) - Knowledge-informed ML (e.g., physical laws, logical requirements, and algorithms) - Ethically-informed ML (e.g., fairness, explainability, fairness, and cultural competence) SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6 Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: EXTENDED Submission of papers: 6 May 2024 Notification of acceptance: 16 June 2024 ESANN conference: 9-11 October 2024 SPECIAL SESSION ORGANISERS: Luca Oneto (University of Genoa, Italy) Nicol? Navarin (University of Padua, Italy) Alessio Micheli (University of Pisa, Italy) Luca Pasa (University of Padova, Italy) Claudio Gallicchio (University of Pisa, Italy) Davide Bacciu (University of Pisa, Italy) Davide Anguita (DIBRIS - University of Genova, Italy) ? Nicol? Navarin, Ph.D. Associate Professor of Computer Science University of Padua - Department of Mathematics via Trieste 63, 35121 Padova - Italy Office: 3CD2 Tel. +39 049 8271384 E-mail: nicolo.navarin at unipd.it Zoom: https://unipd.zoom.us/my/navarin Web: http://www.math.unipd.it/~nnavarin CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. ? Nicol? Navarin, Ph.D. Associate Professor of Computer Science University of Padua - Department of Mathematics via Trieste 63, 35121 Padova - Italy Office: 3CD2 Tel. +39 049 8271384 E-mail: nicolo.navarin at unipd.it Zoom: https://unipd.zoom.us/my/navarin Web: http://www.math.unipd.it/~nnavarin CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ajp.aubret at gmail.com Mon Apr 29 08:33:14 2024 From: ajp.aubret at gmail.com (Arthur Aubret) Date: Mon, 29 Apr 2024 14:33:14 +0200 Subject: Connectionists: Hybrid workshop on Development of Visual Representations in Humans + Machines, Austin May 20th Message-ID: Dear colleagues, We are glad to announce the first edition of the DVRHM workshop ("Development of Visual Representations in Humans + Machines) which will be attached to ICDL2024 ! This is a hybrid, free and half-day workshop that will take place on May 20th afternoon at University of Texas at Austin (3.250 Seay Building). More information can be found on our website https://icdl-dvrhm.github.io/ and soon on twitter https://x.com/icdl_dvrhm . The talks will be broadcast on https://uni-frankfurt.zoom-x.de/j/66714708374pwd=Q0JLSVhuMUppam10TW5LN2NUY2RCQT09 Meeting ID: 667 1470 8374 Passcode: 050447 This short workshop is organized around four anticipated talks from Dan Yamins, Justin Wood, Bria Long and Tomas Ulmer. This aims to explore the latest advances in our understanding of the development of visual representations in humans, through a cross-disciplinary expertise, between psychology, neuroscience and machine learning. We look forward to see you all there ! Our apologies for cross-posting. Arthur Aubret, Bhavin Chovski, Alexandre Devillers, Colin Conwell -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Mon Apr 29 08:44:42 2024 From: efipatm at gmail.com (Efi) Date: Mon, 29 Apr 2024 05:44:42 -0700 Subject: Connectionists: ICIP 2024: Introducing the 12 Workshops - Including the Big Visual Data Analytics (BVDA) Workshop, 27-30 October 2024, Abu Dhabi, UAE Message-ID: Dear researchers and practitioners of big visual data analytics, We are pleased to announce one of the twelve ICIP 2024 Workshops, *the Big Visual Data Analytics (BVDA) Workshop*, scheduled to take place from 27 to 30 October 2024, in Abu Dhabi, UAE. The BVDA Workshop aims to explore this rapidly evolving field encompassing cutting-edge methods, emerging applications, and significant challenges in extracting meaning and value from large-scale visual datasets. All accepted contributions will be published in IEEE Xplore. The paper submission deadline is *May 9, 2024*. For further details and submission instructions, please visit: https://icarus.csd.auth.gr/cfp-bvda-icip24-workshop/ *Workshops* - Big Visual Data Analytics (BVDA) - International Workshop on Hyperspectral and Multispectral Imaging on Agriculture and Geo Applications - SPVis: Security and Privacy of Machine Learning-based Vision Processing in Autonomous Systems - Embodied AI: Trends, Challenges, and Opportunities ? EMAI - 2nd Workshop on 3D Computer Vision and Photogrammetry (3DCVP) - Learning-by-Myself (LbM): Self-supervised learning in biosignals and biomedical image processing - Biomedical Imaging & Diagnostics (BID) Workshop: Innovations in Biomarkers, Digital Pathology, & Radiology - Integrating Image Processing with Large-Scale Language/Vision Models for Advanced Visual Understanding - 1st Workshop on Intelligent Crowd Engineering (ICE) - Visual and Sensing AI for Smart Agriculture - AI4IPoT: AI for Image Processing Applications on Traffic: Advancements, Challenges, and Opportunities - Analysis of OCT Signals and Images: From Signal Formation to Practical Applications To learn more about how to participate in each workshop, visit their web pages available here . *Learn More about the Workshops Here* *Submit an ICIP 2024 Workshop Paper Here* Organizers of BVDA Workshop Prof. Ioannis Pitas: Chair of the International AI Doctoral Academy (AIDA ), Director of the Artificial Intelligence and Information analysis (AIIA ) Lab, Aristotle University of Thessaloniki, Greece. Prof. Massimo Villari: University of Messina, Italy. Dr. Ioannis Mademlis: Postdoctoral researcher at the Harokopio University of Athens. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Mon Apr 29 18:36:38 2024 From: nsmattei at gmail.com (Nicholas Mattei) Date: Mon, 29 Apr 2024 17:36:38 -0500 Subject: Connectionists: Call for Papers: 8th International Conference on Algorithmic Decision Theory - ADT 2024 Message-ID: *ADT** 2024 - CALL FOR PAPERS* The 8th International Conference on Algorithmic Decision Theory - ADT 2024 will be held October 14-16, 2024, at the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) at Rutgers University. We've got a great lineup of invited speakers including Xiao (Tracy) Liu, Herve Moulin, and Jenn Wortman Vaughan! Website: https://preflib.github.io/adt2024/ ADT 2024 focuses on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of Computer Science, Economics, and Operations Research in order to improve the theory and practice of modern decision support. The conference topics include research in: Algorithms, Argumentation Theory, Artificial Intelligence, Computational Social Choice, Database Systems, Decision Analysis, Discrete Mathematics, Game Theory, Machine Learning and Adversarial Machine Learning, Matching, Multi-agent Systems, Multiple Criteria Decision Aiding, Networks, Optimization, Preference Modeling, Risk Analysis and Adversarial Risk Analysis, and Utility Theory. *Important Dates* *Title and Abstract Submission*: May 10, 2024 *Full Paper Submission*: May 17, 2024 *Notification*: July 19, 2024 *Final Version of Accepted Papers*: August 9, 2024 *Conference Dates*: October 14-16, 2024 *Submissions* Submissions are invited on significant, original and previously unpublished research on all aspects of Algorithmic Decision Theory. Papers must be at most 15 pages long in the LNCS format (including references). The formal proceedings of ADT 2024 will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence (LNAI) . ADT 2024 will not accept any paper that, at the time of submission, has already been published in a journal or another venue with formally published proceedings. However, in order to accommodate the publication norms of the many fields that work on decision theory, papers can be submitted but not already published elsewhere provided the authors note they are submitting for the non-proceedings track at the top of their submission. All papers will be peer-reviewed by a double-blind procedure. Therefore, papers must be submitted anonymously as pdf documents via the Microsoft CMT system. It is important and required that authors do not reveal their identities in submitted papers. Since the review process is double blind, authors must take measures to ensure that their identity is not easily revealed from the submission itself. Authors should include the submission number (as assigned by the conference system) in the author field of the submission, and refer to their prior work in a neutral manner (i.e., instead of saying ?We showed? say ?XYZ et al. showed?). It is acceptable to submit work that has been presented in public or has appeared on arXiv, provided the submission itself is anonymized. *Submission Format:* Authors should consult Springer?s authors? guidelines and use their proceedings templates , either for LaTeX or for Word, for the preparation of their papers. Note that at least one author of each accepted paper is required to attend the conference to present the work. Authors will be required to agree to this requirement at the time of submission. In addition, the corresponding author of each accepted paper that will appear in the proceedings, acting on behalf of all of the authors of that paper, will need to complete and sign a Consent-to-Publish form, through which the copyright for their paper is transferred to Springer. To accommodate the publishing traditions of different fields, ADT 2024 will accept two types of submissions: *Submissions with full text in the proceedings:* Papers of this type will be accepted for either oral or poster presentation, or both. Each accepted paper of this type will be allocated at most 15 pages in the proceedings and there will be no distinction between papers accepted for oral or poster presentation in the conference proceedings. *Submissions with one-page abstract in the proceeding:* Papers of this type will be accepted for either oral or poster presentation, or both. Each accepted paper of this type will appear as a one-page abstract in the proceedings, along with a URL pointing to the full paper. This option is available to accommodate subsequent publication in journals that would not consider results that have been published in preliminary form in conference proceedings. Such papers must be formatted just like papers submitted for full-text publication, at the submission time, but authors are required to write ?submission without proceedings? into the author field of their paper (instead of author names), if they choose this category. Otherwise, it will be assumed, by default, that their paper is submitted in the first category (submissions with full-text in the proceedings). Rupert Freeman and Nicholas Mattei ADT 2024 Program Co-Chairs David Pennock and Lirong Xia ADT 2024 General Chairs -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 305B +1 504 865 5782 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From kc.w at cityu.edu.hk Tue Apr 30 01:21:47 2024 From: kc.w at cityu.edu.hk (Prof. WONG Ka Chun) Date: Tue, 30 Apr 2024 05:21:47 +0000 Subject: Connectionists: Call for Papers: Special Issue on "Generative AI in Computational Biology and Bioinformatics" In-Reply-To: <01f201da9a7f$7b3dc220$71b94660$@csbj-rncsb.org> References: <01f201da9a7f$7b3dc220$71b94660$@csbj-rncsb.org> Message-ID: [cid:image004.jpg at 01DA9B01.588FC2A0] Call for Papers: Special Issue on "Generative AI in Computational Biology and Bioinformatics" Guest Editors: Ka-Chun Wong, City University of Hong Kong, Hong Kong (Email: kc.w at cityu.edu.hk) Xingjian Chen, Harvard University, United States of America (Email: xchen57 at mgh.harvard.edu) Shankai Yan, Hainan University, China (Email: skyan at hainanu.edu.cn) Shixiong Zhang, Xidian University, China (Email: zhangsx at xidian.edu.cn) Xiangtao Li, Jilin University, China (Email: lixt314 at jlu.edu.cn) Generative AI, a subfield of Artificial Intelligence (AI), has shown promising impacts in computational biology and bioinformatics. Specifically, it can be developed to create models capable of generating interesting data with the same statistical properties as the training set. This technology has been instrumental in simulating biological systems, predicting 3D molecular structures, and generating genomic sequences. The fusion of generative AI with computational biology and bioinformatics offers potential in understanding complex biological phenomena, drug discovery, and personalized medicine. However, the inherent complexity of biological systems poses challenges that necessitate further research and development in this interdisciplinary field. Scope of the Special Issue: The main scope of the upcoming special issue focused on "Generative AI in Computational Biology and Bioinformatics" would be to offer highlights in the field covering the relevant topics from generative AI to computational biology and bioinformatics. In this special issue, we will explore the potential of generative AI in the wide domains related to computational biology and bioinformatics with good performance at different V?s (volume, velocity, veracity, value, and variety) in the era of big data. Possible research topics include but are not limited to: ? Biotechnology Development with Generative AI ? Data Integration with Generative AI in Biology ? Ethics of Generative AI in Biology ? Foundation Models in Biology ? Multimodal Generative AI in Biology ? Software Tools with Generative AI in Biology ? Translational Studies with Generative AI in Biology ? Generative AI in Biological Networks, Biological Text Data, Biomedical Images, Cellular Biology, Disease Modelling, Drug Discovery, Epigenetics, Genomics, Genetic Engineering, High-throughput Sequencing, Medicine, Metagenomics, Microbiome Research, Proteomics, and Systems Biology Submission deadline: 31 December 2024 We encourage researchers, engineers, scientists, clinicians, and students in related fields to submit their work for consideration in this special issue. All manuscripts will receive expedited handling and the accepted version will appear online within one week. Please note that every accepted paper is subjected to a processing fee as per Elsevier's open access journal policies. [cid:image005.jpg at 01DA9B01.588FC2A0] About the Journal: CSBJ is an online gold open access journal, and is composed of the following Sections: ? CSBJ: General Section (https://www.csbj.org/) ? CSBJ: The Smart Hospital Section (https://www.csbj.org/smarthospital) ? CSBJ: Nanoscience & Advanced Materials Section (https://www.csbj.org/nano) ? CSBJ: Quantum Biology & Biophotonics Section (https://www.csbj.org/qbio) [A close-up of a card Description automatically generated] Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.jpg Type: image/jpeg Size: 36988 bytes Desc: image004.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: oledata.mso Type: application/octet-stream Size: 4164 bytes Desc: oledata.mso URL: From eleal at d.umn.edu Mon Apr 29 11:11:45 2024 From: eleal at d.umn.edu (Eleazar Leal) Date: Mon, 29 Apr 2024 10:11:45 -0500 Subject: Connectionists: CFP 2024 Intl Workshop on Quantum Data Science and Management @ VLDB Message-ID: ************************************************************************* CALL FOR PAPERS International Workshop on Quantum Data Science and Management (QDSM 2024) In conjunction with VLDB 2024 August 29, 2024, Guangzhou, China (and hybrid) Submission: May 5, 2024 Web: https://www.ifis.uni-luebeck.de/~groppe/qdsm ************************************************************************* ** Aims of the Workshop ** The field of quantum computing has experienced remarkable progress after decades of research and development. Prototypes of quantum computers already exist and have been made available to users through cloud services (e.g., IBM Q experience, Google quantum AI, or Xanadu quantum cloud). While fault-tolerant and large-scale quantum computers are not available yet, the potential of this new technology is undeniable. Quantum algorithms have the proven ability to either outperform classical approaches for various tasks or are impossible to be efficiently simulated by classical means under reasonable complexity-theoretic assumptions. Even imperfect current-day technology is speculated to exhibit computational advantages over classical systems. For most database researchers, quantum computing and quantum machine learning are still new research fields. The goal of this workshop is to bring together academic researchers and industry practitioners from multiple disciplines (e.g., database, AI, software, physics, etc.) to discuss the challenges, solutions, and applications of quantum computing and quantum machine learning that have the potential to advance the state of the art of data science and data management technologies. Our purpose is to foster the interaction between database researchers and more traditional quantum disciplines, as well as industrial users. The workshop serves as a forum for the growing quantum computing community to connect with database researchers to discuss the wider questions and applications of how quantum resources can benefit data science and data management tasks, and how quantum software can support this endeavor. We believe that many unsolved and interesting issues can be found at boundaries and intersections between different fields and that there are insufficient venues to publish such cross-disciplinary results. We also believe that an important aspect of future quantum computing will concern issues of handling data in one way or another. This workshop will serve as a venue not only to discuss early, experimental results in research, but also to feature a demonstration part with the intention of providing attendees with first-hand experience in using novel quantum computing techniques that go beyond the simple examples offered by various web services. This will give researchers a realistic intuition about quantum computing for data science and data management tasks. ** Categories of Papers ** The workshop solicits papers of the following categories: - Research Papers propose new approaches, theories or techniques related to quantum data science and management including new data structures, protocols and algorithms. They should make substantial theoretical and empirical contributions to the research field. - System Papers describe new systems and whole frameworks for enabling quantum data science and management. - Experiments and Analysis Papers focus on the experimental evaluation of existing approaches including data structures and algorithms for quantum data science and management and bring new insights through the analysis of these experiments. Results of Experiments and Analysis Papers can be, for example, showing the benefits of well-known approaches in new settings and environments, opening new research problems by demonstrating unexpected behavior or phenomena, or comparing a set of traditional approaches in an experimental survey. - Application Papers report practical experiences on applications of quantum data science and management. Application Papers might describe how to apply quantum technologies to specific application domains. - Vision Papers identify emerging new or future research issues and directions and describe new research visions for quantum data science and management. The new visions will potentially have significant impacts on society. - Demo Papers deal with innovative approaches and applications for quantum data science and management. These papers describe a showcase of the proposed approach/application. We are especially interested in demonstrations having a WOW-effect. The length of papers must be within 5 pages to 10 pages. Accepted papers will be published in the CEUR Workshop proceedings (CEUR-WS.org) and presented as oral presentations. ** Topics of Interest ** We are interested in all issues concerning quantum data science and management such as the following: - Quantum Computing for problems related to Data Science and Management - Quantum Data Science - Quantum Computing for Data Science - Data Science for Quantum Computing - Quantum Data Management - Quantum Computing for Data Management - Data Management for Quantum Computing - Quantum Machine Learning - Quantum Machine Learning Enabled Databases - Quantum Data Management to Support Machine Learning - New approaches to Quantum Machine Learning - Applications for - Quantum Data Science - Quantum Data Management - Quantum Machine Learning - Quantum Algorithms with applications in Quantum Data Science and Management - Quantum Software Tools for Quantum Data Science and Management - Frameworks and APIs - Programming Languages - Optimizers of Quantum Programs and Circuits - Quantum Cryptography and Security for Data Science and Management ** Workshop Chairs ** - Sven Groppe, University of Lubeck, Germany - Jiaheng Lu, University of Helsinki, Finland - Wolfgang Mauerer, Technical University of Applied Science Regensburg, Germany - Le Gruenwald, University of Oklahoma, USA ** Publicity Chairs ** - Eleazar Leal, University of Minnesota Duluth, USA ** Proceedings Chairs ** - Valter Uotila, University of Helsinki, Finland ** Program Committee ** - Umut Calikyilmaz, University of Lubeck, Germany - Maja Franz, OTH Regensburg, Germany - Srinjoy Ganguly, Woxsen University, India - Natacha Kuete Meli, University of Lubeck, Germany - Nitin Nayak, University of Lubeck, Germany - Jukka K. Nurminen, University of Helsinki, Finland - IIya Safro, University of Delaware, USA - Manuel Schonberger, OTH Regensburg, Germany - Ghanshyam Singh, Malaviya National Institute of Technology Jaipur (MNIT Jaipur), India - Valter Uotila, University of Helsinki, Finland - Sanjay Vishwakarma, IBM Quantum, IBM Research - Almaden, USA - Zhengtong Yan, University of Helsinki, Finland ** Important Dates ** Submission: May 5, 2024 Notification: June 30, 2024 Workshop: August 29, 2024 ** Submission ** Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be formatted using the camera-ready templates in the CEUR Workshop Proceedings (CEUR-WS.org) double-column format. The length of papers must be within 5 pages to 10 pages. Accepted papers will be published online in the CEUR Workshop proceedings (CEUR-WS.org). We describe manuscript preparation and submission procedure at https://www.ifis.uni-luebeck.de/~groppe/qdsm/submit -- Eleazar Leal, Ph.D. Associate Professor Dept. of Computer Science | University of Minnesota Duluth Heller Hall 331 1114 Kirby Drive Duluth, MN 55812 Tel: (218) 726-8452 | Fax: (218) 726-8240 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ali at ifi.uio.no Tue Apr 30 07:14:42 2024 From: ali at ifi.uio.no (Ali Ramezani-Kebrya) Date: Tue, 30 Apr 2024 11:14:42 +0000 Subject: Connectionists: Ph.D. Position in ML at the University of Oslo, Norway Message-ID: [?] PhD Position in ML is available at the University of Oslo together with the research excellence centre Visual Intelligence: https://www.jobbnorge.no/en/available-jobs/job/262282/phd-research-fellow-in-machine-learning The applicants will be reviewed on a rolling basis. The plan is to finalize the hiring process in less than a month. This Ph.D. position is focused on machine learning in realistic settings referring to statistical and system characteristics such as robustness to limited data and distribution shifts. For the application side, the candidate will collaborate with the Institute of Marine Research on valuable image data of the marine environment. -------------------------------------- Ali Ramezani-Kebrya Associate Professor Department of Informatics University of Oslo Principal Investigator, Norwegian Centre for Knowledge-driven Machine Learning (Integreat) Principal Investigator, SFI Visual Intelligence European Laboratory for Learning and Intelligent Systems (ELLIS) Member https://alirk.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 1121 bytes Desc: image001.png URL: From dorien.herremans at gmail.com Tue Apr 30 07:25:46 2024 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Tue, 30 Apr 2024 19:25:46 +0800 Subject: Connectionists: [Call for participants] Captioned Music listeners wanted Message-ID: Dear community, We hope this message finds you in good spirits! We're reaching out to you to participate in a listening test for evaluating a newly captioned MIDI dataset. You'll be asked to rate 20 captions accompanying music pieces. (Estimated duration: 10-20 min) This is a new second run of a previously sent test. You are more than welcome to participate again! How to Participate: Simply click on the link below to access the evaluation form: https://www.psytoolkit.org/c/3.4.0/survey?s=jqrvB Thank you for your enthusiasm and valuable contribution! Best regards, -- Dorien Herremans, PhD Associate Professor, ISTD & DAI Director, SUTD Game Lab Lead, AMAAI (Audio, Music and AI Lab) http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 2.401-33 -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Tue Apr 30 06:56:21 2024 From: giacomo.cabri at unimore.it (Giacomo Cabri) Date: Tue, 30 Apr 2024 12:56:21 +0200 Subject: Connectionists: WETICE 2024 Call for Papers Message-ID: * 32nd International Conference on Enabling Technologies: **Infrastructure for Collaborative Enterprises (WETICE 2024)* Reggio Emilia (Italy), June 26th-28th, 2024 *Call for Papers* WETICE is the annual international conference on state-of-the-art research in enabling technologies for collaboration. Established thirty-two years ago, WETICE aims at promoting fruitful discussions on the latest technology developments, directions, problems, and requirements. The conference includes presentations, keynote sessions, and group discussions. Further information on the event is available at https://www.ailab.unipr.it/wetice24 . Please note that new information about the registration fees ?is available https://www.ailab.unipr.it/wetice24/for-participants/ . Proceedings will be submitted for inclusion in IEEE Xplore, Scopus, DBLP, and Google Scholar. All papers will be reviewed by the members of the Program Committee. Topics include but are not limited to: * Distributed and Collaborative Business Processes * Process Mining * Workflow Automation * Cloud Computing for Collaboration * Collaboration in Digital Strategies * Collaborative and Distributed Learning Platforms * Collaborative Supply Chain Management * Distributed Database Technologies * Data Analytics and Fraud Detection * Data for Collaborative Processes * Data Privacy, Anonymity, and Confidentiality * Data Visualization and Analytics * Consensus and Fault Tolerance Algorithms * Decentralized Autonomous Organization * Distributed Cryptographic Algorithms and Protocols * Distributed Trust Management * Formal Verification and Model Checking * Blockchain-based Applications and Services * Decentralized Application Development * Performance and Scalability Issues * Internet of Things for Collaboration * Architecture, Scalability, Governance, and Interoperability * Monitoring and Analysis * Service-Orientation in Systems Engineering * Intelligent Manufacturing Platforms * Logistics and Intralogistics * Smart Grid and Energy Systems *Submission Guidelines* The submissions must be original and should not be published or submitted for publication elsewhere. Papers must be written in English and formatted according to: https://www.ieee.org/conferences/publishing/templates.html The maximum length of the papers is 6 pages, including figures and references. Authors are required to include their names and affiliations in their submissions. *Important Dates* * Submission deadline: *May 8th, 2024* * Notification of acceptance: *May 29th, 2024* * Camera ready deadline: *June 12th, 2024* * Conference: *June 26th-28th, 2024* * * -------------- next part -------------- An HTML attachment was scrubbed... URL: From efipatm at gmail.com Tue Apr 30 08:32:18 2024 From: efipatm at gmail.com (Efi) Date: Tue, 30 Apr 2024 05:32:18 -0700 Subject: Connectionists: Free AIDA short e-course "Context-Aware AI Conversational Agents with RAG Architecture", May 13-14, 2024 Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the International AI Doctoral Academy (AIDA ) is excited to invite you to attend the upcoming short e-course by AIDA Lecturer Lucian Gruia ?*Context-Aware AI Conversational Agents with RAG Architecture*?. This course will be held on May 13-14, 2024, conducted online via Microsoft Teams. *Key concepts*: Conversational Agents Architecture, Retrieval-Augmented Generation (RAG) Architecture, Streamlining unstructured data, Large Language Models, Knowledge Representation Techniques, Data Embedding, Retrieval, Semantic Search, Reasoning *Details* Host Institution: Doctoral School of Electronics, Telecommunications & Information Technology | National University of Science and Technology Politehnica Bucharest Level: Postgraduate Schedule: Online via Microsoft Teams (the invitation on Microsoft Teams will be sent on May 10 by the lecturer), *May 13-14, 2024, 14:00-16:00 UTC* Join us and explore further: https://www.i-aida.org/course/context-aware-ai-conversational-agents-with-rag-architecture/ Both AIDA and non-AIDA students are encouraged to participate in this course for *free* - *AIDA Students* (PhD students/candidates, Post-doc researchers belonging to any AIDA Member ) should enroll on this course using the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the course. Please also fill in the Registration Form . - Students/participants *not* associated with any AIDA member can join the course by filling out the Registration Form . The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , supports a world-level AI education and research program. AIDA has regular lecture series, short courses, semester courses, and seasonal schools with the participation of hundreds of academics and serving a growing community of AI PhD students and researchers. Best regards AIDA Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Tue Apr 30 11:45:40 2024 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Tue, 30 Apr 2024 15:45:40 +0000 Subject: Connectionists: NEURAL NETWORKS, May 2024 Message-ID: Neural Networks - Volume 173, May 2024 https://www.journals.elsevier.com/neural-networks Editorial: Expansion of the editorial team DeLiang Wang, Mauro Forti, Tongliang Liu, Taro Toyoizumi A Comprehensive Survey on Deep Graph Representation Learning Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, ... Ming Zhang Knowledge distillation under ideal joint classifier assumption Huayu Li, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li PSA-GNN: An augmented GNN framework with priori subgraph knowledge Guotong Xue, Ming Zhong, Tieyun Qian, Jianxin Li Cross-modality interaction for few-shot multispectral object detection with semantic knowledge Lian Huang, Zongju Peng, Fen Chen, Shaosheng Dai, ... Kesheng Liu Priors-assisted dehazing network with attention supervision and detail preservation Weichao Yi, Liquan Dong, Ming Liu, Mei Hui, ... Yuejin Zhao A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning Sajad Ahmadian, Mehrdad Rostami, Vahid Farrahi, Mourad Oussalah A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data Jinghui Tian, Dongying Han, Hamid Reza Karimi, Yu Zhang, Peiming Shi Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks Connor Kennedy, Trace Crowdis, Haoran Hu, Sankaran Vaidyanathan, Hong-Kun Zhang Node-personalized multi-graph convolutional networks for recommendation Tiantian Zhou, Hailiang Ye, Feilong Cao SCMEA: A stacked co-enhanced model for entity alignment based on multi-aspect information fusion and bidirectional contrastive learning Yunfeng Zhou, Cui Zhu, Wenjun Zhu, Hongyang Li CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection Sohaib Asif, Ming Zhao, Yangfan Li, Fengxiao Tang, Yusen Zhu One-step Bayesian example-dependent cost classification: The OsC-MLP method Javier Mediavilla-Rela?o, Marcelino L?zaro Towards a better negative sampling strategy for dynamic graphs Kuang Gao, Chuang Liu, Jia Wu, Bo Du, Wenbin Hu Triplet-constrained deep hashing for chest X-ray image retrieval in COVID-19 assessment Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, ... Mingxia Liu Confounder balancing in adversarial domain adaptation for pre-trained large models fine-tuning Shuoran Jiang, Qingcai Chen, Yang Xiang, Youcheng Pan, ... Yukang Lin Fast multi-view clustering via correntropy-based orthogonal concept factorization Jinghan Wu, Ben Yang, Zhiyuan Xue, Xuetao Zhang, ... Badong Chen Fading memory as inductive bias in residual recurrent networks Igor Dubinin, Felix Effenberger Enhancing adversarial attacks with resize-invariant and logical ensemble Yanling Shao, Yuzhi Zhang, Wenyong Dong, Qikun Zhang, ... Hairui Xu CeCR: Cross-entropy contrastive replay for online class-incremental continual learning Guanglu Sun, Baolun Ji, Lili Liang, Minghui Chen Defense against adversarial attacks based on color space transformation Haoyu Wang, Chunhua Wu, Kangfeng Zheng Efficient spiking neural network design via neural architecture search Jiaqi Yan, Qianhui Liu, Malu Zhang, Lang Feng, ... Gang Pan Mode combinability: Exploring convex combinations of permutation aligned models Adri?n Csisz?rik, Melinda F. Kiss, P?ter K?r?si-Szab?, M?rton Muntag, ... D?niel Varga Robust noise-aware algorithm for randomized neural network and its convergence properties Yuqi Xiao, Muideen Adegoke, Chi-Sing Leung, Kwok Wa Leung Towards a unified framework for graph-based multi-view clustering F. Dornaika, S. El Hajjar A regularized orthogonal activated inverse-learning neural network for regression and classification with outliers Zhijun Zhang, Yating Song, Tao Chen, Jie He Multi-level multilingual semantic alignment for zero-shot cross-lingual transfer learning Anchun Gui, Han Xiao How to evaluate uncertainty estimates in machine learning for regression? Laurens Sluijterman, Eric Cator, Tom Heskes Graph Neural Network contextual embedding for Deep Learning on tabular data Mario Villaiz?n-Vallelado, Matteo Salvatori, Bel?n Carro, Antonio Javier Sanchez-Esguevillas An ADMM-LSTM framework for short-term load forecasting Shuo Liu, Zhengmin Kong, Tao Huang, Yang Du, Wei Xiang Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis Md Manjurul Ahsan, Md Shahin Ali, Zahed Siddique Lie?Poisson Neural Networks (LPNets): Data-based computing of Hamiltonian systems with symmetries Christopher Eldred, Fran?ois Gay-Balmaz, Sofiia Huraka, Vakhtang Putkaradze Quasi-synchronization for variable-order fractional complex dynamical networks with hybrid delay-dependent impulses Chen Wei, Xiaoping Wang, Fangmin Ren, Zhigang Zeng Hebbian dreaming for small datasets Elena Agliari, Francesco Alemanno, Miriam Aquaro, Adriano Barra, ... Ido Kanter Higher-order neurodynamical equation for simplex prediction Zhihui Wang, Jianrui Chen, Maoguo Gong, Zhongshi Shao Delay-dependent Lurie?Postnikov type Lyapunov?Krasovskii functionals for stability analysis of discrete-time delayed neural networks Ke-You Xie, Chuan-Ke Zhang, Sangmoon Lee, Yong He, Yajuan Liu TCDformer: A transformer framework for non-stationary time series forecasting based on trend and change-point detection Jiashan Wan, Na Xia, Yutao Yin, Xulei Pan, ... Jun Yi Noncompact uniform universal approximation Teun D.H. van Nuland Weisfeiler?Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs Silvia Beddar-Wiesing, Giuseppe Alessio D?Inverno, Caterina Graziani, Veronica Lachi, ... Josephine Maria Thomas MSRMNet: Multi-scale skip residual and multi-mixed features network for salient object detection Xinlong Liu, Luping Wang Unsupervised distribution-aware keypoints generation from 3D point clouds Yiqi Wu, Xingye Chen, Xuan Huang, Kelin Song, Dejun Zhang DDK: Dynamic structure pruning based on differentiable search and recursive knowledge distillation for BERT Zhou Zhang, Yang Lu, Tengfei Wang, Xing Wei, Zhen Wei A comprehensive and reliable feature attribution method: Double-sided remove and reconstruct (DoRaR) Dong Qin, George T. Amariucai, Daji Qiao, Yong Guan, Shen Fu Extended Dynamic Mode Decomposition with Invertible Dictionary Learning Yuhong Jin, Lei Hou, Shun Zhong Methodology based on spiking neural networks for univariate time-series forecasting Sergio Lucas, Eva Portillo A feature refinement and adaptive generative adversarial network for thermal infrared image colorization Yu Chen, Weida Zhan, Yichun Jiang, Depeng Zhu, ... Jinxin Guo Hierarchical matching and reasoning for multi-query image retrieval Zhong Ji, Zhihao Li, Yan Zhang, Haoran Wang, ... Xuelong Li Multi-node knowledge graph assisted distributed fault detection for large-scale industrial processes based on graph attention network and bidirectional LSTMs Graph-based social relation inference with multi-level conditional attention Xiaotian Yu, Hanling Yi, Qie Tang, Kun Huang, ... Xiaoyu Wang Spatial multi-attention conditional neural processes Li-Li Bao, Jiang-She Zhang, Chun-Xia Zhang -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Apr 30 12:08:40 2024 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 30 Apr 2024 19:08:40 +0300 Subject: Connectionists: =?utf-8?q?Fwd=3A_World_wide_VVTNS_series=3A_Wedne?= =?utf-8?q?sday=2C_May_1st_2024_at_11am_=28EDT=29=2C_Lorenzo_Fontol?= =?utf-8?q?an=2C_Universit=C3=A9_Aix-Marseille=7C_=22Neural_mechani?= =?utf-8?q?sms_of_memory-guided_behaviour=22?= In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture given by Lorenzo Fontolan Universit? Aix-Marseille on the topic of "Neural mechanisms of memory-guided behaviour*"* The lecture will be held on zoom on *May 1st, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Persistent, stimulus-dependent neuronal activity has been observed in numerous brain areas during tasks that require the temporary maintenance of information. Several competing hypotheses for the neuronal mechanisms underlying persistent activity have been proposed. We have employed data-driven models in conjunction with optogenetic disruptions of neural circuits within memory-guided motor tasks. Our findings revealed a mechanism governed by dynamic attractors, pivotal in sustaining neuronal activity. This mechanism, shaped by time-varying inputs reflecting temporal predictions, is instrumental in regulating the impact of sensory information on the premotor cortex, thereby preserving memory traces from distracting stimuli. We then asked how persistent activity driven by attractor dynamics emerges during motor learning. It has been proposed that activity-dependent synaptic plasticity underpins motor learning, as it can reconfigure network architectures to produce the appropriate neural dynamics for specific behaviors. To verify this hypothesis, we investigated how the mouse premotor cortex acquires specific neural dynamics that govern the planning of movement at different stages of motor learning. We developed network models that replicated the effects of acute manipulations of synaptic plasticity. The models, which display attractor dynamics, also explain flexible behavior after learning has ended. By leveraging the model's predictions, we can formulate testable hypotheses regarding the distinct mechanisms governing movement planning at various stages of the learning process. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? ? -- "? ?????? ????? ???? ???? ?????" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From cgf at isep.ipp.pt Tue Apr 30 13:41:41 2024 From: cgf at isep.ipp.pt (Carlos) Date: Tue, 30 Apr 2024 18:41:41 +0100 Subject: Connectionists: CFP: Learning from Temporal Data (LearnTeD) - DSAA 2024 Message-ID: <3a2829bd-2172-47e7-a45d-768fdb7ee227@isep.ipp.pt> ---------------------------------------------------------------------------------------- Please distribute (Apologies for cross posting) ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- CALL FOR PAPERS Learning from Temporal Data (LearnTeD) special session of the 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024) October 6-10, 2024, San Diego, CA, United States Website link: https://dsaa2024.inesctec.pt/ ---------------------------------------------------------------------------------------- Aims and Scope ---------------------------------------------------------------------------------------- Temporal information is all around us. Numerous important fields, including weather and climate, ecology, transport, urban computing, bioinformatics, medicine, and finance, routinely work with temporal data. Temporal data present a number of new challenges, including increased dimensionality, drifts, complex behavior in terms of long-term interdependence, and temporal sparsity, to mention a few. Hence, learning from temporal data requires specialized strategies that are different from those used for static data. Continuous cross-domain knowledge exchange is required since many of these difficulties cut over the lines separating various fields. This special session aims to integrate the research on learning from temporal data from various areas and to synthesize new concepts based on statistical analysis, time series analysis, graph analysis, signal processing, and machine learning. The scope of the special session includes but is not limited to the following: - Temporal data clustering - Classification and regression of univariate and multivariate time series - Early classification of temporal data - Deep learning for temporal data - Learning representation for temporal data - Metric and kernel learning for temporal data - Modeling temporal dependencies - Time series forecasting - Time series annotation, segmentation, and anomaly detection - Spatial-temporal statistical analysis - Functional data analysis methods - Data streams - Interpretable/explainable time-series analysis methods - Dimensionality reduction, sparsity, algorithmic complexity, and big data challenges - Benchmarking and assessment methods for temporal data - Applications, including transport, urban computing, weather and climate, ecology, bio-informatics, medical, and energy consumption on temporal data ---------------------------------------------------------------------------------------- Submission procedure ---------------------------------------------------------------------------------------- All papers should be submitted electronically via EasyChair (under the ?Special Session? Track): https://easychair.org/conferences/?conf=learnted2024 The length of each paper submitted to the Research tracks should be no more than ten (10) pages and should be formatted following the standard 2-column U.S. letter style of the IEEE Conference template. For further information and instructions, see the IEEE Proceedings Author Guidelines. All submissions will be blind-reviewed by the Program Committee on the basis of technical quality, relevance to the conference?s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors? anonymity will be rejected without reviews. Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA?2024. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to the DSAA?2024 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper?s title and abstract are different from the one appearing in arXiv. All accepted full-length special session papers will be published by IEEE in the DSAA main conference proceedings under its Special Session scheme. All papers will be submitted for inclusion in the IEEEXplore Digital Library. High-quality accepted papers will be recommended to a Special Issue of the International Journal of Data Science and Analytics on "Learning from temporal data" through a fast-track process. ---------------------------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------------------------- Paper Submission Deadline: May 20, 2024 Paper Notification: July 24, 2024 Camera-ready Submission: August 21, 2024 ---------------------------------------------------------------------------------------- Organizing Committee ---------------------------------------------------------------------------------------- ---------------------- Track Chairs ---------------------- Albert Bifet, Waikato University, New Zealand Jo?o Mendes Moreira, University of Porto & LIAAD-INESC TEC, Portugal Joydeep Chandra, Indian Institute of Technology Patna, India ---------------------- Program Committee ---------------------- TBA ---------------------- Publicity Chairs ---------------------- Carlos Abreu Ferreira, Instituto Polit?cnico do Porto, Portugal Shruti Saxena, Indian Institute of Technology Patna, India ---------------------- Contacts ---------------------- Organizing Committee Contact Person: jmoreira at fe.up.pt ---------------------- Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From emergingtechnetwork.publicity at gmail.com Tue Apr 30 16:07:28 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Tue, 30 Apr 2024 23:07:28 +0300 Subject: Connectionists: FLLM2024 CFP (Co-Sponsored by IEEE): The 2nd International Conference on Foundation and Large Language Models , 26-29 November, 2024 | Dubai, UAE Message-ID: [Apologies if you got multiple copies of this invitation] The 2nd International Conference on Foundation and Large Language Models (FLLM2024) https://fllm2024.fllm-conference.org/index.php 26-29 November, 2024 | Dubai, UAE Technically Co-Sponsored by IEEE UAE Section *FLLM 2024 CFP:* With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure. The International Conference on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics related to FLLMs, with special interest in but not limited to: - *Architectures and Systems* - Transformers and Attention - Bidirectional Encoding - Autoregressive Models - Massive GPU Systems - Prompt Engineering - Multimodal LLMs - Fine-tuning - *Challenges* - Hallucination - Cost of Creation and Training - Energy and Sustainability Issues - Integration - Safety and Trustworthiness - Interpretability - Fairness - Social Impact - * Future Directions* - Generative AI - Explainability and EXplainable AI - Retrieval Augmented Generation (RAG) - Federated Learning for FLLM - Large Language Models Fine-Tuning on Graphs - Data Augmentation - * Natural Language Processing Applications* - Generation - Summarization - Rewrite - Search - Question Answering - Language Comprehension and Complex Reasoning - Clustering and Classification - * Applications* - Natural Language Processing - Communication Systems - Security and Privacy - Image Processing and Computer Vision - Life Sciences - Financial Systems *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. *Important Dates:* - *Paper submission deadline: June 30, 2024* - Notification of acceptance: September 15, 2024 - Camera-ready Submission: October 10, 2024 *Contact:* Please send any inquiry on FLLM to: info at fllm-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: