From uwe.aickelin at unimelb.edu.au Tue Nov 1 02:08:36 2022 From: uwe.aickelin at unimelb.edu.au (Uwe Aickelin) Date: Tue, 1 Nov 2022 06:08:36 +0000 Subject: Connectionists: 3 year ML/Optimisation postdoc Message-ID: I'm looking for a postdoctoral researcher to work with me as part of the Melbourne ARC Hub for Digital Bioprocess Development. This 3-year position will examine how relatively sparse high-quality data can be supplemented with lower quality data to enable ?multi-fidelity? optimisation for improved decision support for bioprocesses. Deadline 14 Nov, full details here: https://jobs.unimelb.edu.au/caw/en/job/910398/postdoctoral-research-fellow-modelling-optimisation -- Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect ? 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin at unimelb.edu.au http://aickelin.com/ | http://linkedin.com/in/aickelin -------------- next part -------------- An HTML attachment was scrubbed... URL: From Julian.Eggert at honda-ri.de Tue Nov 1 04:35:46 2022 From: Julian.Eggert at honda-ri.de (Julian Eggert) Date: Tue, 1 Nov 2022 08:35:46 +0000 Subject: Connectionists: Open senior scientist position - Knowledge Representation and Common Sense for Artificial Agents Message-ID: Dear Connectionists, we are looking for a highly motivated and talented researcher who shares our spirit of turning pioneering scientific research into groundbreaking innovations. The candidate will join our research at the Honda Research Institute Europe in the area of knowledge engines for common-sense reasoning of robots and AI agents in real-world environments. For a more detailed description of the position, the desired profile and offered benefits see the attached job announcement. Please send your applications to: honda.pme-net.de >>>>>>>>>>>>>>>>>>>>>>>>> Dr. Julian Eggert Senior Chief Scientist Honda Research Institute Europe GmbH Carl-Legien-Str.30, 63073 Offenbach am Main, Germany Tel. +49-69-89011737 Fax: +49-69-89011749 e-mail: julian.eggert at honda-ri.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: HRI_Senior-Scientist.pdf Type: application/pdf Size: 338925 bytes Desc: HRI_Senior-Scientist.pdf URL: From fdlafert at hotmail.com Tue Nov 1 06:01:26 2022 From: fdlafert at hotmail.com (Fabrizio Damicelli) Date: Tue, 1 Nov 2022 10:01:26 +0000 Subject: Connectionists: Python Package: Kuramoto model In-Reply-To: References: Message-ID: Dear Connectionists, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and synchronization phenomena. The Kuramoto model is used to study a wide range of systems with synchronization behaviour as a system of coupled periodic oscillators. "kuramoto": Python implementation of the Kuramoto model. * Code Repository: https://github.com/fabridamicelli/kuramoto * Easy install with `pip install kuramoto` * Example notebooks: https://github.com/fabridamicelli/kuramoto/tree/master/examples * A super concise intro to the model and its behaviour and further references can be found here: https://github.com/fabridamicelli/kuramoto#kuramoto-model-101 As of today, a few people already trust it and the package registers >10K total downloads, ~500/month (pypi.org). Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/kuramoto/issues) All the best, Fabrizio Damicelli -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Tue Nov 1 14:06:20 2022 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 01 Nov 2022 11:06:20 -0700 Subject: Connectionists: NEURAL COMPUTATION - November 1, 2022 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 34, Number 11 - November 1, 2022 Now available for online download: http://www.mitpressjournals.org/toc/neco/34/11 http://cognet.mit.edu/content/neural-computation ----- Articles A Neural Model for Insect Steering Applied to Olfaction and Path Integration Andrea Klara Adden, Terrence C Stewart, Barbara Webb, and Stanley Heinze Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits Aditya Ramesh, Paulo Rauber, Michelangelo Conserva, and J?rgen Schmidhuber Letters Inferring Mechanisms of Auditory Attentional Modulation With Deep Neural Networks Xiaolin Hu, Ting-Yu Kuo, Yuanda Liao, Kai Li, and Bo Hong Capacity Limitations of Visual Search in Deep Convolutional Neural Networks Endel Poder ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From vincentthunder2011 at gmail.com Tue Nov 1 21:58:59 2022 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Wed, 2 Nov 2022 09:58:59 +0800 Subject: Connectionists: [Social Networks, Deadline Nov. 13] Call for Papers in ICC 2023 Message-ID: *SCOPE AND MOTIVATION* Recently, social network research has advanced rapidly with the prevalence of online social applications and mobile social communications systems. Metaverse has emerged as one of the future Internet for business, socialization, entertainment, and education in fully connected, immersive, and engaging online 3D virtual experiences. Nevertheless, the ongoing pandemic via contact social networks has caused tremendous human life and economic loss around the world, and infodemic is one of the major social impacts that make people difficult to discriminate trustworthy sources, from false and manipulative information sources. Therefore, researchers are increasingly interested in addressing a wide spectrum of challenges in social networks, such as developing social-aware algorithms for communications systems, identifying the topological common structures and information/influence flows, analyzing the social media and evolutions of social graphs, and exploiting location-based and contextual information embedded in mobile social networks to create innovative applications. Due to its increasing prevalence and interdisciplinary nature, social networks have also attracted intensive research interests across multiple disciplines, including artificial intelligence, blockchain, big data analytics, information security and privacy protection, psychology, and marketing. In light of the above crucial needs, Selected Areas in Communication Symposium in Social Networks will serve as a forum for researchers and technologists from academia, industry, and government to discuss the state-of-the-art, present their cutting-edge innovations and contributions, and set future directions in all aspects of social networks. The symposium seeks original contributions in the following topical areas, plus others that are not explicitly listed but are closely related. - Artificial Intelligence for social networks and applications - Social network analysis on epidemic diagnosis and asymptomatic infector tracking for COVID-19 and other pandemic - Convergence and interplay between Metaverse and the underlying communication networks - Infrastructure, platform, protocol design, and optimization for mobile social networks, social vehicular networks, mobile social clouds, social Internet-of-Things, and new paradigm of future social-aware communication networks - Social network graph modeling, analysis, measurements, and experiments using big data for a better understanding of social network influence, reputation, recommendation, and community structure - Data mining, machine learning, information retrieval, signal processing, and artificial intelligence in social media and social contexts - Trusted networking, privacy and security, user behaviors and dynamics, and digital right management for big data from social networks - Innovative social networks applications and services to mobile Internet, multimedia networks, mobile commerce, cyber-physical systems, and their potential social, economic, and cultural impacts - Multidisciplinary and interdisciplinary research on social networks The authors of selected papers from this symposium will be invited to submit an extended version of their work for fast-track review and possible publication in the IEEE Open Journal of the Communications Society *IMPORTANT DATES* - Deadline for paper submission: 13 November 2022 (Firm) - Date for notification: 18 January 2023 - Deadline for final paper submission: 15 February 2023 *SUBMISSION INSTRUCTIONS* All papers for technical symposium should be submitted via EDAS. Full instructions on how to submit papers are provided on the IEEE ICC 2023 website: https://icc2023.ieee-icc.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From rm.banerjee at gmail.com Tue Nov 1 07:22:57 2022 From: rm.banerjee at gmail.com (Romi Banerjee) Date: Tue, 1 Nov 2022 16:52:57 +0530 Subject: Connectionists: Winter School 2022 - Algorithms for Graphs and Games (Dec 5-11) & Responsible AI (Dec 11-15) - IIT Jodhpur In-Reply-To: References: Message-ID: Dear Colleague, Season's Greetings & Greetings of the day! The Department of Computer Science and Engineering , in association with TIH iHub Drishti at IIT Jodhpur , is happy to announce "Winter School 2022" - a bouquet of two schools: - "Algorithms for Graphs and Games": https://cse.iitj.ac.in/index.php/events/winter-school/algorithms-graphs-games -- December 05-11, 2022; - "Responsible AI": https://cse.iitj.ac.in/index.php/events/winter-school/responsible-ai -- December 11-15, 2022, and - A common poster presentation session on -- December 11, 2022. The event will comprise: - Lectures by national and international experts from University of Bergen, Norway, Ben-Gurion University of the Negev, IIT Delhi, IMSc, Chennai, Google Research India, Microsoft Research, John Hopkins University, IBM India Research Laboratory, University of South Florida, IIT Jodhpur amongst others; - Hands-on training of fundamental and applied contemporary concepts from researchers and industry experts; - Ample opportunities to interact and network with peers and experts The schools promise to be of interest and benefit to students (UG, PG and Ph.D), faculty and professionals across industries. Details on the schedule, logistics, and scholarships can be found on the websites highlighted above... Please register here: *https://forms.eduqfix.com/iitwinterform/add* Participants may also consider submitting abstracts for the poster presentation on December 11, 2022 (not compulsory for registration) The deadline for registration is: November 15, 2022 We look forward to your participation and help in spreading word about the event? Please find brochures of the event attached... If you have any questions, please write to us @ office_cse at iitj.ac.in? We will get back to you as soon as we can.. Thank You and Warm Regards, Romi ________________________________ Romi Banerjee Assistant Professor, Department of Computer Science and Engineering, IIT Jodhpur Affiliate Faculty, Center for Brain Science and Applications - School of AI and Data Science, IIT Jodhpur Digital Curator, Society for the Neuroscience of Creativity Web: https://sites.google.com/site/romibitsnbob/home -------------- next part -------------- An HTML attachment was scrubbed... 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Name: AI_Speakers.png Type: image/png Size: 1478753 bytes Desc: not available URL: From zitao.jerry.liu at gmail.com Wed Nov 2 03:26:52 2022 From: zitao.jerry.liu at gmail.com (Zitao Liu) Date: Wed, 2 Nov 2022 15:26:52 +0800 Subject: Connectionists: Global Knowledge Tracing Challenge @AAAI 2023 Message-ID: ** Call for Participation ** - Global Knowledge Tracing Challenge @AAAI 2023 http://ai4ed.cc/competitions/aaai2023competition --------------------- Background --------------------- In this competition, we would like to call for researchers and practitioners worldwide to investigate the opportunities of improving the student assessment performance via knowledge tracing approaches with rich side information. Knowledge tracing (KT) is the task of using students? historical learning interaction data to model their knowledge mastery over time so as to make predictions on their future interaction performance, shown in the following Figure. Such predictive capabilities can potentially help students learn better and faster when paired with high-quality learning materials and instructions, which is crucial for building next-generation smart and personalized education. However, even though a large body of deep learning based KT models are proposed, the majority of existing baselines don't utilize the rich auxiliary side information in educational contexts. Various auxiliary side information could be extracted as external knowledge and integrated with the DLKT models. These auxiliary knowledge are expected to improve DLKT performance, which can be considered as follows: - Question side information: (1) question text content; (2) latent question variations with respect to each KC; (3) question difficulty level; and (4) relations among questions. - Student side information: (1) historical successful and failed attempts; (2) recent attempts; (3) students? learning ability; and (4) individualized prior knowledge of students. - KC side information: (1) latent knowledge representation; and (2) relations among KCs. --------------------- Data & Task Description --------------------- We released a large student assessment dataset with rich textual and structural information (well anonymized). The data is collected from students in grade 3 math classes at Xueersi from TAL Education Group that is a leading smart learning solutions provider in China with global footprints. Specifically, *the dataset is made up of 18,066 students, 7,652 questions, 1,175 KCs and 5,549,635 interactions/responses*. The average student historical sequence length is 307.19. 79.47% responses are with positive labels, i.e., students correctly answer the questions. Each question is associated with question text content, the explanations of question answers and its corresponding KCs. The relevant KCs are hierarchically structured. All the textual characters are anonymized and mapped into internal unique integer tokens. --------------------- Evaluation Task --------------------- There are 3,613 student interaction sequences in the test set. For each interaction sequence, the first 50% of interactions are known and the task is to predict the rest 50% interactions? responses, i.e., 0 or 1. We will choose to use AUC score as the main evaluation metric for this competition. --------------------- Baseline Results --------------------- We have used pyKT to run DKT and AKT on the aforementioned training data and evaluate on our public test sets. All these approaches are purely trained with question/KC ids and student responses without any auxiliary information, such as question content. The results are used as baseline results for this competition: Model Non-Accumulative Accumulative DKT 0.6801 0.7086 AKT 0.7812 0.7692 Majority 0.7381 - We provide easy to use codes and detailed instructions in: https://github.com/pykt-team/pykt-toolkit/tree/main/examples/competitions/aaai2023_competition --------------------- Competition Schedule --------------------- - November 17, 2022 - Start Date. - December 31, 2022 - Final submission deadline. - January 2, 2023 - Final competition results announced. All deadlines are at 11:59 PM UTC on the corresponding day unless otherwise noted.The competition organizers reserve the right to update the contest timeline if they deem it necessary. --------------------- Award --------------------- - We will provide cash prizes for the top-3 teams (1st place: $1000; 2nd place: $600 ; 3rd place $300) - An official certificate will be awarded to the top-3 teams. - The top-3 teams will be invited to give oral presentations during AAAI 2023. - The first author of the top-3 teams will be invited to contribute to a competition review paper. Note: The top-3 teams should make their training and testing code publicly available for verification after the testing submission deadline. --------------------- Organizers ---------------- Qiongqiong Liu TAL Education Group, China Jiahao Chen TAL Education Group, China Shuyan Huang TAL Education Group, China Zitao Liu TAL Education Group, China Contact: pykt.team at gmail.com Best Regards, The pyKT Team Dr. Zitao Liu | http://www.zitaoliu.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Wed Nov 2 05:40:55 2022 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Wed, 2 Nov 2022 10:40:55 +0100 Subject: Connectionists: [Jobs] 2 Year Postdoc at the Institute for Neural Computation, Bochum, Germany Message-ID: <20221102094055.GF5495@curry> The Institute for Neural Computation of the Faculty for Informatics is looking for a postdoc (m,f,x) in the field of Computational Neuroscience for 2 years, 39.83 hours per week, E13 TVL The Institute for Neural Computation is part of the Faculty of Computer Science at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a postdoc in the group ?Theory of Neural Systems? of Prof. Dr. Laurenz Wiskott to be filled as soon as possible. The position is planned for two years with salary level 100% TV-L E13, the standard German salary for postdocs. This position offers the opportunity to develop your own research profile and establish an independent research group. The research topic should be in the field of computational neuroscience on a system level, in particular modeling the visual system, episodic memory, or navigation in mammals. Collaborations with colleagues at the institute are welcome. extent: full-time duration: temporary beginning: as soon as possible application deadline: 21.11.2022 Your tasks: Independent research projects and publications. Acquiring third party funding. Teaching. A lot of room for own ideas and initiatives. Supervising student projects and your own PhD projects. Active participation in the local research environment. Your profile: Active participation in the local research environment. Solid knowledge in Computational Neuroscience. Potential to develop an original independent research agenda in one of the above-mentioned topics. Our offerings: An interesting interdisciplinary environment in the field of experimental and computational neuroscience / machine Learning. Opportunity to develop an independent research profile and your own research group. Opportunity to pursue further scientific qualification. A lot of room for own ideas and initiatives. Additional information: At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. The load of teaching will be calculated according to ? 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). The Ruhr-Universit?t Bochum is one of Germany?s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB?s declared aim. The Ruhr-Universit?t Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universit?t Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. Contact details for your application: Prof. Dr. Laurenz Wiskott, Phone: +49234 32 27997 Travel expenses for interviews cannot be refunded. For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process. ANR: 1267 until 21/11/2022 Applications (CV, transcript of records for PhD, MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott at rub.de. From albagarciaseco at gmail.com Wed Nov 2 06:58:33 2022 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Wed, 2 Nov 2022 11:58:33 +0100 Subject: Connectionists: IEEE CBMS 2023 - CALL FOR PAPERS AND SPECIAL TRACKS In-Reply-To: References: Message-ID: **************************************************************************************************** Apologies if you receive multiple copies of this announcement **************************************************************************************************** 36th IEEE International Symposium on Computer Based Medical Systems L?Aquila, Italy, 22-24 June 2023 https://linkprotect.cudasvc.com/url?a=https%3a%2f%2f2023.cbms-conference.org%2f&c=E,1,DuMArbyDszqwoTvDepsqVaxZzwrhdm-B_lfla9q_ZLBytPhqXcOxSKDsB4-CwrMy0ps73RAAELiZVin54XQzla1Bp0MEk8L7UmtiYQZ92GyAkiEc&typo=1 ---------------------------------------------------------------------------------------------------- CALL FOR PAPERS ---------------------------------------------------------------------------------------------------- Attracting a worldwide audience, CBMS is the premier conference for computer-based medical systems, and one of the main conferences within the fields of medical informatics and biomedical informatics. CBMS allows the exchange of ideas and technologies between academic and industrial scientists. The scientific program of IEEE CBMS 2023 will consist of regular and special track sessions with technical contributions reviewed and selected by an international program committee as well as keynote talks, and tutorials given by leading experts in their fields. The IEEE CBMS 2023 edition also aims to host high-quality papers about industry and real case applications as well as allow to researchers leading international projects to show to the scientific community the main aims, goals, and results of their projects. We solicit submissions on previously unpublished research work. Example areas include but are not limited to: - Biomedical Signal and Image Processing - Clinical and Healthcare Services Research - Data Analysis and Visualization - Data Mining and Machine Learning - Decision Support and Recommendation Systems - Healthcare Communication Networks - Healthcare Data and Knowledge Management - Human-Computer Interaction (HCI) in Healthcare - Information Technologies in Healthcare - Digital Biomarkers - Intelligent Medical Devices and Smart Technologies - Radiomics and Radiogenomics - Semantics and Knowledge Representation - Serious Gaming in Healthcare - Systems Integration and Security - Technology-enabled Education - Telemedicine Systems - Translational Bioinformatics - Sensor solutions for Connected Health - mHealth Solutions and Insights - Learning from Medical Devices - Cyberphysical Systems in Medicine ---------------------------------------------------------------------------------------------------- ORGANIZERS ---------------------------------------------------------------------------------------------------- Prof. Giuseppe Placidi, PhD, Universit? dell?Aquila (Italy) Rosa Sicilia, PhD, Universit? Campus Bio-Medico di Roma (Italy) Prof. Alejandro Rodri?guez Gonza?lez, PhD, Universidad Polite?cnica de Madrid (Spain) ---------------------------------------------------------------------------------------------------- PAPER SUBMISSION AND PUBLICATION ---------------------------------------------------------------------------------------------------- Submitted papers have to be original, containing new and original results. Submission implies the willingness of at least one of the authors to register and present the paper at the CBMS 2023 Symposium. All papers will be peer reviewed by at least two independent referees. - Prospective authors are invited to submit papers in any of the topics listed above. - Instructions for preparing the manuscript (in Word and Latex formats) are available at: https://linkprotect.cudasvc.com/url?a=https%3a%2f%2f2023.cbms-conference.org%2fgeneral-instructions%2f&c=E,1,4TywvlOib3KCr0K4gR0c5wVCCdc7Wk91ZUD1UtXDr5BtOi75sRVQA8k-h8VqFPJJfzFjDeqnz-3D_fTOfmCKcOWCvp2hPGYPDtM7VOhkXzs7&typo=1 - Please also check the Guidelines. - Papers must be submitted electronically via the web-based submission system. ---------------------------------------------------------------------------------------------------- CONTACTS ---------------------------------------------------------------------------------------------------- cbms2023 at cbms-conference.org ---------------------------------------------------------------------------------------------------- IMPORTANT DATES ---------------------------------------------------------------------------------------------------- Deadline for special track proposal: November 10, 2022 Special track notification acceptance: November 20, 2022 Paper submission deadline: February 15, 2023 Notification of acceptance: March 30, 2023 Camera-ready due: April 18, 2023 ---------------------------------------------------------------------------------------------------- CALL FOR SPECIAL TRACKS ---------------------------------------------------------------------------------------------------- Attracting a worldwide audience, CBMS is the premier conference for computer-based medical systems, and one of the main conferences within the fields of medical informatics and biomedical informatics. IEEE CBMS 2023 invites proposals for organization of special tracks that will be held in parallel with the general conference track. The themes of the special tracks should not overlap with the general conference topics and should focus on emerging research fields. All tracks are expected to enable stimulating discussions of state-of-the-art, emerging, visionary, and perhaps controversial topics. Their papers should report on significant unpublished work and must meet the same standards as main conference papers. All accepted papers will be included in the conference proceedings. We expect all accepted tracks to adhere to the conference paper submission and reviewing schedule, as outlined in the dates indicated below. Special Tracks chair(s) will be interacting with organisers of accepted workshops to ensure a high quality workshop program. ---------------------------------------------------------------------------------------------------- SPECIAL TRACK CHAIRS ---------------------------------------------------------------------------------------------------- Cristina Soguero Ru?z, Universidad Rey Juan Carlos de Mardid (Spain) Carlo Sansone, Universit? degli Studi di Napoli Federico II (Italy) Pedro Pereira Rodrigues, Universidade do Porto (Portugal) ---------------------------------------------------------------------------------------------------- SUBMISSION GUIDELINES ---------------------------------------------------------------------------------------------------- Each proposal must include: 1. Special track title 2. Rough estimate of the expected ST size as number of sessions (with 4-5 papers per session) 3. A brief biography of ST organizer(s) 4. List of Special Track program committee members 5. A draft of Special Track ?Call for papers? (important dates must be the same of the main conference, reported below) 6. One or two appropriate journals or follow up publications: tracks are expected to organize a special issue 7. The proposal must be sent to cbms2023 at cbms-conference.org ---------------------------------------------------------------------------------------------------- CONTACTS ---------------------------------------------------------------------------------------------------- cbms2023 at cbms-conference.org ---------------------------------------------------------------------------------------------------- IMPORTANT DATES ---------------------------------------------------------------------------------------------------- Deadline for special track proposal: November 10, 2022 Special track notification acceptance: November 20, 2022 Paper submission deadline: February 15, 2023 Notification of acceptance: March 30, 2023 Camera-ready due: April 18, 2023 ---------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: call_for_papers.pdf Type: application/pdf Size: 422104 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: call_for_special_tracks.pdf Type: application/pdf Size: 393776 bytes Desc: not available URL: From tanya.brown at ae.mpg.de Wed Nov 2 08:08:21 2022 From: tanya.brown at ae.mpg.de (Brown, Tanya) Date: Wed, 2 Nov 2022 12:08:21 +0000 Subject: Connectionists: Mindvoyage | Carl F Craver on Nov 3rd @ 16:00 CET In-Reply-To: <172d51f0d8a348bb910ad22406520064@ae.mpg.de> References: <172d51f0d8a348bb910ad22406520064@ae.mpg.de> Message-ID: <5bf421d59bb547b8b6bd9c9620162793@ae.mpg.de> REMINDER - This Thursday @ 16:00 CET we have Carl Craver giving a talk as part of the Mindvoyage series. I strongly encourage everyone to register to join! All are welcome, registration is required. FOR MORE INFORMAITON: https://www.aesthetics.mpg.de/en/the-institute/events/mindvoyage/mindvoyage-detailansicht/article/mindvoyage-l-carl-f-craver-do-neural-mechanisms-dictate-cognitive-ontology-some-examples-from-memory.html [X] Hoping to see you there! Tanya ________________________________ From: Brown, Tanya Sent: Monday, October 17, 2022 5:24:16 PM To: Connectionists at mailman.srv.cs.cmu.edu Subject: Mindvoyage | Carl F Craver on Nov 3rd @ 16:00 CET [Inline image OWAPstImg400009] The Mindvoyage lecture series features prominent scholars from different disciplines including the humanities, biology, neuroscience and physics. Talks are dedicated to engaging in discussions related to novel, distinct and often controversial topics. The next talk, featuring Carl F Craver on Thursday Nov 3 @ 16:00 CET This talk will take place on zoom All are welcome to join this free talk, but registration is required. REGISTER HERE [Inline image OWAPstImg855956] Abstract Following the outline of a recent paper with Jolien Fracken and Marc Slors, I lay out three interlocking problem for any effort to appeal to neural mechanism as the grounds for important decisions about a) the ontology of cognitive science, b) the justification of experimental operationalizations in cognitive science. That is, I argue we should jettison any simplistic idea that we can read the ontology of higher levels off the mechanistic structure of the world. To drive this point home, I close by considering the two lives of episodic memory: one life as a computational cognitive operation definable in terms of its computation and algorithm, and the other life as an epistemic achievement. I argue that any putative reduction relation among these is guilty of a category mistake, but that both are nonetheless legitimate ways of carving the human mind for different intellectual purposes. We should learn to live with that disconnect between the taxonomies we need to understand minds and the taxonomies we need to understand how they are implemented in brain mechanisms. FOR MORE INFORMATION https://www.arc-cogitate.com/events/mindvoyage-carl-craver REGISTRATION LINK https://us06web.zoom.us/webinar/register/WN_Y2gkTJszQ-iDzs05hiP9fQ Hosted by Lucia Melloni and Tanya Brown from the Max Planck Institute for Empirical Aesthetics, on behalf of the ARC-COGITATE Consortium [Inline image OWAPstImg654048] ____________ Please note, that I am out-of-office with intermittent access to email Oct 10 - 25th, 2022. I will do my best to reply to your email in the interim. My working hours may not be yours, respond in your own time Tanya Brown Scientific Coordinator | ARC-Cogitate Max Planck Institute for Empirical Aesthetics Gr?neburgweg 14, 60322 Frankfurt am Main, Germany tanya.brown at ae.mpg.de [1622818538171] -------------- next part -------------- An HTML attachment was scrubbed... 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Name: OutlookEmoji-1622818538171acaf85ac-a2bc-4d5c-aeb2-76e1572c733f.png Type: image/png Size: 19053 bytes Desc: OutlookEmoji-1622818538171acaf85ac-a2bc-4d5c-aeb2-76e1572c733f.png URL: From info at incf.org Wed Nov 2 12:19:57 2022 From: info at incf.org (INCF) Date: Wed, 2 Nov 2022 17:19:57 +0100 Subject: Connectionists: Job Opportunity at INCF! Message-ID: Job Opportunity at INCF! Stockholm, SE: Want to join a friendly, international group passionate about neuroinformatics and the FAIR scientific environment? We?re hiring! The role includes: - managing INCF's scientific committees & councils, - developing communications materials, - maintaining training & education content, - maintaining updates on working group activities, - managing mentorship programs, and - assisting with INCF events. Candidates should be highly organized and service-minded with excellent written and spoken English. We are looking for a self-motivated and independent neuroscientist, computer scientist, or data scientist, preferably with experience in community engagement, open science practices, and scientific communications. The candidate should have strong time management skills and be able to multitask. Interpersonal skills are essential and we emphasize the person?s ability to contribute to a friendly work environment. Skills required: - MSc or PhD in computational neuroscience, neuroscience, data science, or computer science - Fluency in English - Strong organizational skills - Ability to prioritize tasks - Excellent and proven team-working ability - Tactful and diplomatic verbal and written interpersonal communication skills - Proficiency in MS Office - Proficiency in scientific writing (blog-style) - Experience with Adobe Creative Suite (mainly InDesign and Photoshop) Skills desirable: - Knowledge of Google apps, Zoom, Doodle, and other similar web applications for office use - Familiarity with social media platforms (Twitter, LinkedIn, Facebook, YouTube) - Graphical/layout skills Learn more and apply by November 30: bit.ly/INCFjobad /The INCF Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Wed Nov 2 09:56:09 2022 From: Pavis at iit.it (Pavis) Date: Wed, 2 Nov 2022 13:56:09 +0000 Subject: Connectionists: CALL FOR JUNIOR TECHNICIAN - (22000054) - PAVIS LAB - IIT GENOVA - ITALY In-Reply-To: References: <80b40f96d4514cee90917bc314e4ff3b@iit.it>, <18066342360444b3ae16fb77b21016d0@iit.it>, Message-ID: <8c6fc244c68349e8bd76b7b47ec5cc27@iit.it> CALL FOR JUNIOR TECHNICIAN - (22000054) - PAVIS LAB - IIT GENOVA - ITALY JUNIOR TECHNICIAN - (22000054) Commitment & contract: 1 year fixed term contract, renewable Location: Genoa, Via Enrico Melen 83 WHO WE ARE At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarter is strictly inter-connected with our 11 centres around Italy and two outer-stations based in the US for a truly interdisciplinary experience. YOUR TEAM You will be working in the Pattern Analysis and Computer vision (PAVIS) Research Line, a multi-disciplinary and multi-cultural group where people with different backgrounds collaborate, each with their own expertise, to carry out the research on Computer Vision and Artificial Intelligence. PAVIS research line is coordinated by Dr. Alessio Del Bue. Within the team, your main responsibilities will be: Hardware and software prototyping of computational systems based on Computer Vision and Machine Learning technology; Support PAVIS facility maintenance and organization; Support PAVIS Technology Transfer initiatives (external projects); Support PAVIS researcher activities; Support PAVIS operations (procurement, ICT services, troubleshooting, data management, logistics, equipment management and maintenance). WHAT WOULD MAKE YOU SHINE A master or bachelor degree in Computer Science, Engineering or a similar discipline Documented experience in Computer Programming using Python and Computer Vision Documented experience of Windows and Linux programming and managing tools Good knowledge of the English language A cooperative approach Accuracy and good analytical skills EXTRA AWESOME Experience with Machine Learning and Deep Learning models (e.g. Pytorch, Tensorflow, CUDA) Experience with modern software development tools and technologies (CI/CD, test driven development, Git, microservices, Docker, MQTT, DevOps) Working experience in the public or private research sector Experience developing software for interfacing sensors (cameras, PTZ, RGBD sensors, thermocameras) or GPUs Experience in managing computer networks and network programming Good communication skills Strong problem solving attitude High motivation to learn Spirit of innovation and creativity Good in time and priority management Ability to work in a challenging and international environment Ability to work independently and collaboratively in a highly interdisciplinary and multicultural environment COMPENSATION & BENEFITS Competitive salary package for international standards Private health care coverage Wide range of staff discounts 2 days of teleworking per week Flexible working time WHAT?S IN IT FOR YOU? State of the art equipment with access to one of the top High Performance Computing infrastructures in Italy Learn from a dynamic and highly motivated team working at the edge of computer vision and machine learning technology composed by the brightest minds in the field The chance to develop AI systems from scratch and put your mark on it Weekly reading groups for staying up to date with the most recent trend and developments in the field of Machine Learning and Computer Vision The opportunity to collaborate with the most important and ambitious multi-national companies of the world An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us! We like contamination and encourage you to mingle and discover what other people are up to in our labs! If paperwork is not your piece of cake, we got you! There?s a specialized team working to help you with that, especially during your relocation! If you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society! We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life. They guide us to accomplish IIT mission! If you feel this tickles your appetite for change, do not hesitate and apply! Please submit your application using the online form and including a detailed CV:https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=22000054 Application?s deadline: 21/11/2022 We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel: +39 010 28961 - email: dpo at iit.it - kindly note that this e-mail address is exclusively reserved for handling data protection issues. Please, do not use this e-mail address to send any document and/or request of information about this opening). -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Nov 2 11:14:45 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 2 Nov 2022 17:14:45 +0200 Subject: Connectionists: New book "Artificial Intelligence Science and Society Part A" (Amazon/Kindle) presenting AI Science/Engineering and Information Technology References: <017001d8eecc$2c65fc90$8531f5b0$@csd.auth.gr> Message-ID: <09c901d8eecd$d7cde150$8769a3f0$@csd.auth.gr> Dear AI professional, student, enthusiast, AI Science and Engineering is un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering in a new scientific discipline. It has huge impact on both our society and environment. The new book "Artificial Intelligence Science and Society" consists of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner. They are published in Amazon/Kindle. The first volume "Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology" https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860 overviews the entire new domain of AI Science/Engineering and Information Technology (IT). It presents various hot AI and IT disciplines, e.g., Deep Learning, Symbolic AI, Signals and Systems, Computer Vision, Robotics and Autonomy, Networks and Social media, Security and Blockchain (partial list). It requires no mathematical/scientific background. Yet it is scientifically precise and clarifies many misunderstandings and wrong concepts that can be routinely found in the related literature. Here is just an indicative list of few of the debated topics and grand AI challenges: * Is AI Science and Technology a scientific discipline in its own right? * What is the difference between data, information, and knowledge? * How can we quantify knowledge? * What is the relation of Machine learning, AI and metadata, semantics and concepts? * Can Virtual Reality truly empower meta-societies or is it just a hype? * Can AI-powered human-centred computing surpass human intelligence? * Why swarm intelligence is so powerful? * How networks analytics and epidemiology explain the propagation of ideas in social media? * How can we protect digital documents from tampering? Part A Table of contents (276 pages): Data, Signals, Systems, Mathematics, Data Acquisition, Processing and Analysis, Data Storage and Search, Computer Vision, Data Visualization, Computer Graphics and Animation, Virtual and Augmented Reality, Audio, Speech, and Text Analysis, Machine Learning. Pattern Recognition, Deep Learning, Information, Metadata, Semantics, Concepts, Symbolic Artificial Intelligence, Knowledge, Anthropocentric Computing, Robotics, Autonomy, Networks and the Internet, The World Wide Web, Social Media, Network analytics, Swarm Intelligence, Software, Computing, Communications, Security, Blockchain. Part A provides the scientific background to understand the other three book parts: AI Science, brain, mind, and humans (Part B), AI and its impact on society, including AI Ethics (Part C) and the impact of AI and Information Science on the environment (Part D). * "Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans" (276 pages) https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860 * "Artificial Intelligence Science and Society Part C: AI Science and Society" (335 pages) https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860 * "Artificial Intelligence Science and Society Part D: AI Science and the Environment" (177 pages) * https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860 The four book volumes debate and try to forecast the future of AI Science and Engineering, as well as the upcoming Mind and Social Science and Engineering. About the author: This book is a result of a two-year effort by Prof. Ioannis. Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) and was influenced by his being principal investigator of 75+ R&D projects on Computer Vision, Machine Learning, Digital Media and chairing the International AI Doctoral Academy (AIDA). Prof. I. Pitas is Director of the Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. He was chair and initiator of the IEEE Autonomous Systems Initiative (ASI). He has (co-)authored 15 books, 45 book chapters and over 950 papers in the above topics. He has 34500+ citations to his work and h-index 87+. He is ranked 319 worldwide and first in Greece in the field of Computer Science (2022). Enjoy! Prof. Ioannis. Pitas -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcel.van.gerven at gmail.com Thu Nov 3 07:24:08 2022 From: marcel.van.gerven at gmail.com (Marcel van Gerven) Date: Thu, 3 Nov 2022 12:24:08 +0100 Subject: Connectionists: Tenure track researcher in Reinforcement Learning with applications in neurotechnology Message-ID: The AI Department of the Donders Centre for Cognition (DCC), embedded in the Donders Institute for Brain, Cognition and Behaviour, is looking for a tenure track researcher in reinforcement learning with an interest towards applications in neurotechnology. You will be part of the Dutch DBI2 consortium, which is a multi-year/multi-institute project aimed at understanding brain function from a computational and mechanistic perspective (dbi2.nl ). You are a researcher in reinforcement learning with an emphasis on safety and robustness. You have a keen interest in applications in neurotechnology and other domains such as robotics, healthcare and/or sustainability. You will perform top-quality research in reinforcement learning, actively contribute to and support the DBI2 consortium, interact and collaborate with other researchers and specialists in academia and/or industry, and be an inspiring member of our staff with excellent communication skills. Furthermore, you will engage with students through teaching and master projects not exceeding 20% of your time. This tenure track position will lead to a tenured assistant or associate professorship after three years (depending on experience and performance). The Donders Institute provides excellent facilities such as computing facilities, a robot lab, a virtual reality lab, behavioural labs, and a technical support group. The AI Department is also a founding member of Radboud AI and the ELLIS Unit Nijmegen (European Excellence Network in Machine Learning). You will join the Artificial Cognitive Systems (ACS) group headed by Prof. van Gerven and interact closely with other machine learning researchers and computational neuroscientists. If you are interested, please check out https://ru.nl/en/working-at/job-opportunities/researcher-in-reinforcement-learning-at-the-donders-centre-for-cognition and feel encouraged to apply (deadline November 23). -------------- next part -------------- An HTML attachment was scrubbed... URL: From gokulraj.prabhakaran at med.ovgu.de Thu Nov 3 07:23:06 2022 From: gokulraj.prabhakaran at med.ovgu.de (Prabhakaran, Gokulraj) Date: Thu, 3 Nov 2022 11:23:06 +0000 Subject: Connectionists: =?windows-1252?q?Job_Opening_at_Dpt=2E_Ophthalmol?= =?windows-1252?q?ogy_=28Univ=2E_of_Magdeburg=2C_Germany=29=3A_PhD_positio?= =?windows-1252?q?n_=96_fMRI-analysis_of_the_Visual_System_in_Glaucoma?= Message-ID: <759b14518eb2444eb6d5a30282397886@med.ovgu.de> Dear Connectionists, Job Opening at Dpt. Ophthalmology (Univ. of Magdeburg, Germany) PhD position ? fMRI-analysis of the Visual System in Glaucoma The Visual Processing Laboratory at the Department of Ophthalmology (University of Magdeburg) is seeking a PhD-candidate. The appointment will commence in spring 2023. You will be working on the project "fMRI-analysis of the visual system in glaucoma", which aims at an understanding of the interplay of plasticity and pathology in the human visual cortex. Topics will include the impact of physical training on visual cortex structure, function and connectivity. We are specifically interested in the functional specialization, interaction, and plasticity of areas of the visual cortex in patients with visual impairment. For this purpose, we use 3 Tesla as well as 7 Tesla high-resolution functional magnetic resonance imaging to investigate cortical sub-compartments. The program offers outstanding students a unique opportunity to be trained as visual neuroscientists using cutting edge techniques and approaches. You will be part of an enthusiastic interdisciplinary research team, supervised by Professor Michael B. Hoffmann at the University of Magdeburg, known for its large, vibrant neuroscience community. You will benefit from a wide academic exchange in national and international scientific networks. You will receive scientific skills training and project-specific expert training in state-of-the art fMRI, visual function testing, pathophysiology in ophthalmology and vision science. Candidates are exceptionally motivated to pursue a career in neuroscience and have a great interest in clinical and basic vision science. Strong programming skills (e.g. MatLab, Python, R) and experience with quantitative neuroscience are essential requirements. Experience in systematic data-acquisition is a plus. Candidates with a background in vision science, neuroscience, neuroimaging, experimental psychology, ophthalmology, biology, physiology, physics, or related areas will be considered. Information on the Visual Processing Laboratory is available at: http://www.med.uni-magdeburg.de/fme/kauge/vpl Informal enquiries and applications are welcome by Professor Michael B. Hoffmann: michael.hoffmann at med.ovgu.de Applications will be considered until the position is filled. Related selected publications: - Hoffmann MB, Dumoulin SO (2015) Congenital visual pathway abnormalities - a window onto cortical stability and plasticity. Trends in Neurosciences 38: 55-65 - Prabhakaran G, Al-Nosairy K, Tempelmann C, Wagner M, Thieme H, Hoffmann MB (2021) Functional dynamics of de-afferented early visual cortex in glaucoma. Frontiers in Neuroscience 15:653632 - Prabhakaran G, Al-Nosairy K, Tempelmann C, Wagner M, Thieme H, Hoffmann MB (2021) Mapping visual field defects with fMRI - impact of approach and experimental conditions. Frontiers in Neuroscience:15:745886 _________________________________ Prof. Dr. rer. nat. Michael Hoffmann Sektion f?r klinische und experimentelle Sinnesphysiologie (Visual Processing Laboratory) Universit?tsaugenklinik Otto-von-Guericke-Universit?t Leipziger Str. 44 39120 Magdeburg Phone: ++49 (0)391 67 13585 (office) ++49 (0)391 67 21721/21722/21723/25233 (labs) Fax: ++49 (0)391 67 13570 Web - http://www.med.uni-magdeburg.de/fme/kauge/vpl/vpl_hoffmann.html _________________________________ From vassilisvas at gmail.com Thu Nov 3 10:19:41 2022 From: vassilisvas at gmail.com (Vassilis Vassiliades) Date: Thu, 3 Nov 2022 16:19:41 +0200 Subject: Connectionists: [jobs] Research Associates in Machine Learning and Robotics in Cyprus Message-ID: Dear colleagues, We are looking for research associates in *machine learning* and *robotics *at the CYENS Centre of Excellence in Cyprus. For more information, please check the following link: https://www.cyens.org.cy/en-gb/vacancies/job-listings/research-associates/research-associates-in-machine-learning-and-roboti/ *Application deadline*: 20 November 2022 Please help spread the word. Regards, Vassilis Vassiliades -------------- next part -------------- An HTML attachment was scrubbed... URL: From garrett.katz at gmail.com Thu Nov 3 13:29:55 2022 From: garrett.katz at gmail.com (Garrett Katz) Date: Thu, 3 Nov 2022 13:29:55 -0400 Subject: Connectionists: Call for Participation: AAAI-23 Bridge Program on Deep Automated Program and Proof Synthesis (AP2S) Message-ID: **** AAAI-23 Bridge Program on Deep Automated Program and Proof Synthesis (AP2S) **** February 7-8, Washington D.C. at AAAI-23 https://garrettkatz.github.io/ap2s-bridge/ *** Call for Participation *** Automated Program and Proof Synthesis (AP2S) are two long-standing, closely-related challenges in AI, recently advanced through the incorporation of deep learning. However, much research focuses exclusively on one or the other, instead of leveraging synergies between them. This bridge program aims to connect researchers from each sub-field and educate them about the other, including but not limited to recent deep learning techniques. The AP2S bridge welcomes contributions in the form of educational lectures/tutorials and extended research abstracts. The majority of the program will consist of 30-45 minute lectures/tutorials, grouped by topic into 90 minute sessions. Time in between sessions will be allocated for poster presentations of accepted abstracts. The final session will include brief 5-minute lightning talks for selected posters, a group panel discussion, and a speed-meeting networking event. ** Program Scope ** The focus of the bridge is on underlying principles common to both program and proof synthesis. Both problems involve document generation in strict formal languages, leveraging large structured prior "knowledge" (known theorems or existing software libraries), navigating vast search spaces (possible proofs and programs), and high-level cognitive abilities (creativity and abstraction). Both problems have witnessed recent advances with deep learning, making this program especially timely. Each problem can also be framed as an instance of the other. Grand challenges envisioned for this bridge include: - Automatically synthesized constructive existence proofs for novel algorithms with improved complexity characteristics - Deciding as-yet unsolved conjectures by automatically synthesizing programs in the languages of interactive proof systems - "Executing" a partially developed proof on concrete examples as "input", similarly to running a program, to guide the automated proof synthesis process - State-of-the-art in both program and proof synthesis using a common core deep learning technique - Fast, automated program and proof repair when a dependency (software library or axiomatization) is changed Topics for educational lectures/tutorials include: - Automated theorem proving techniques (e.g. resolution, paramodulation, term rewriting, etc.) - Automated program synthesis methods (e.g. abstraction domains, genetic programming) - Interactive proof systems (e.g. Metamath, Lean, Coq, Isabelle/HOL, etc.) - Automated proof systems (e.g. Vampire, E, etc.) - Deep learning techniques relevant to AP2S (e.g. transformers, graph neural networks, etc.) - Recent datasets relevant to AP2S (e.g. HOLStep, ProgRES, etc.) - Human reasoning processes during human program and/or proof synthesis Extended abstracts may present current research or positions on: - Program and/or proof synthesis, automated and/or in humans, and with or without deep learning. - New datasets and benchmarks for AP2S - New directions or practices important to advance AP2S going forward ** Program Structure ** The bridge will be a one-day program with the following format: - Quarter-day session with lectures/tutorials related to automated theorem proving - Quarter-day session with lectures/tutorials related to automated program synthesis - Quarter-day session with lectures/tutorials related to relevant deep learning techniques - 5-minute lightning talks for selected posters - Group panel discussion on AP2S going forward - Speed-meeting networking session and social hour Breaks in between sessions will be used for poster presentations of accepted abstracts. ** Target audience and attendance ** The bridge aims to include 6-9 educational lectures/tutorials, 4-6 panel speakers, and 10-20 accepted posters, 5 of which will be selected for lightning talks. Space permitting, all are welcome to attend, with priority given to speakers, authors of accepted abstracts, their collaborators and students. ** Submission Requirements ** Submissions are accepted in either of the following categories: - Proposals for educational lecture/tutorials should include draft presentation slides in PDF format, CVs of the speaker(s) in 2-page NSF Biosketch Format, and a brief cover page. The cover page must include a paragraph summary of the talk, a proposed duration (either 30, 45, or 90 minutes), and the names, affiliations, and contact information for the speaker(s). - Extended abstracts should conform to the AAAI paper guidelines, and be a maximum of 4 pages excluding references. Abstracts will be accepted for poster presentation and a subset will be selected for 5-minute lightning talks at the bridge meeting. Submissions should be made on EasyChair at this link: https://easychair.org/conferences/?conf=ap2s ** Important dates: ** - Friday, November 18, 2022: Deadline for Submissions - Friday, December 2, 2022: Notifications Sent to Authors - Monday, December 12, 2022: AAAI-23 Early Registration Deadline - February 7-8, 2023: AAAI-23 Bridge Program ** Bridge Chairs ** - Garrett Katz, Syracuse University, gkatz01 at syr.edu - Kristopher Micinski, Syracuse University, kkmicins at syr.edu ** Bridge webpage ** For a copy of this CFP and more information (confirmed speakers, program schedule, recorded talks, etc.) see this web page for the bridge: https://garrettkatz.github.io/ap2s-bridge/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at manchester.ac.uk Thu Nov 3 17:59:45 2022 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Thu, 3 Nov 2022 21:59:45 +0000 Subject: Connectionists: Multiple positions in a new Centre for AI Fundamentals: (Senior) Lecturer / Asst Prof, PhD students, Research Software Engineer, Centre Manager and Translational Research Manager Message-ID: Multiple positions in the new Centre for AI Fundamentals in Manchester: (Senior) Lecturer / Asst Prof, PhD students, Research Software Engineer, Centre Manager and Translational Research Manager (Senior) Lecturer / Asst Prof in Machine Learning in Manchester, DL Nov 17. One more position to join our our new http://manchester.ac.uk/ai-fun with already 5+ new academics, plus many old-timers in ELLIS Unit Manchester, UoM branch of the Alan Turing Institute and in @idsai_uom . Now we have kick-started e.g. a strong presence in NeurIPS2022. https://www.jobs.manchester.ac.uk/internal/displayjob.aspx?jobid=23622 PhD students: I am looking for PhD students in Probabilistic Machine learning; especially welcoming Multi-Agent RL for Human-AI Teamwork, as some really excellent ones will soon graduate and move on. But I have a few other topics too... DL Nov 15 https://ellis.eu/news/ellis-phd-program-call-for-applications-2022 Research Software Engineer position designed to bring the best of permanent good job at an excellent Univ, and top-notch Machine Learning with #TuringAIFellows in the new Centre for AI Fundamentals https://t.co/d2m8LmGkfx - DL Nov 22 https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=22564 Centre Manager for the Centre for AI Fundamentals and ELLIS Unit Manchester, and Translational Research Manager: Stay tuned; the positions will be open any day now... -------------- next part -------------- An HTML attachment was scrubbed... URL: From pierre at clisson.com Fri Nov 4 09:09:58 2022 From: pierre at clisson.com (Pierre Clisson) Date: Fri, 4 Nov 2022 14:09:58 +0100 Subject: Connectionists: Brain Age Prediction Challenge Message-ID: <5bbd3356-a736-fcf6-ecc1-5a94e511dc2d@clisson.com> Dear all, NeuroTechX, INRIA and the TAILOR network just launched an EEG data challenge. In this machine learning competition, participants are invited to predict brain age from EEG recordings. Brain age is a promising physiological metric that allows for better computer aided diagnosis (CAD) in the new field of computational psychiatry. Info and registration: https://codalab.lisn.upsaclay.fr/competitions/8336 Best, -- Pierre Clisson https://timeflux.io -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4488 bytes Desc: S/MIME Cryptographic Signature URL: From i.lin at ucl.ac.uk Fri Nov 4 09:20:19 2022 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Fri, 4 Nov 2022 13:20:19 +0000 Subject: Connectionists: Closing soon - Gatsby Unit PhD Programme in Theoretical Neuroscience and Machine Learning Message-ID: <04804238-3B97-42A7-8B5B-26840BC6C1B6@ucl.ac.uk> Apply now for our fully funded PhD Programme! Deadline: 13 November 2022 www.ucl.ac.uk/gatsby/study-and-work/phd-programme The Gatsby Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The unit provides a unique opportunity for a critical mass of theoreticians to interact closely with one another, with the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML), other research groups in related UCL departments, and the nearby Alan Turing and Francis Crick Institutes. Students complete a 4-year PhD in either machine learning or theoretical neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with researchers at the SWC and/or CSML to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly via our online portal. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Fri Nov 4 10:08:27 2022 From: doya at oist.jp (Kenji Doya) Date: Fri, 4 Nov 2022 14:08:27 +0000 Subject: Connectionists: IBI Data Governance Symposium at Neuroscience 2022 San Diego, Nov. 14, 18:30- Message-ID: If you are attending Neuroscience 2022 in San Diego, please come join the satellite symposium by International Brain Initiative (IBI) Data Standards and Sharing Working Group: Developing an International Data Governance Framework to Accelerate Global Neuroscience Research https://brainminds-beyond.jp/satelliteopen at sfn_2022_ibi_data_WG.html Monday, November 14th, 2022, 18:30 ? 20:40 PST Hilton San Diego Bayfront, Level 4, Sapphire 400AB Opening: Jan Bjaalie, Kenji Doya Keynote: Open science at the Allen Institute for Neural Dynamics, Karel Svoboda Flash talks on data sharing by brain initiatives around the world Updates from Data WG Task Forces Data Governance: Damian Eke, Franco Pestilli, Matthew Brown Data Catalog: Sean Hill, Tom Johnstone Training: Sharon Crook, Tina Kokan Open Discussion over drinks and snacks Closing: Maryann Martone Pre-registration is not required but attendance is limited to 100, first-come-first-served. If you are interested in joining, please leave a note here: https://www.surveymonkey.com/r/IBI_data_interest For any question, please contact: ibidatawg at gmail.com See you in San Diego! Kenji ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From david at irdta.eu Sat Nov 5 06:46:05 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 5 Nov 2022 11:46:05 +0100 (CET) Subject: Connectionists: DeepLearn 2023 Winter: early registration November 21 Message-ID: <396934882.406452.1667645165150@webmail.strato.com> ****************************************************************** 8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: November 21, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Winter 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 and Lule?. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting 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, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. 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. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. 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 2023 Winter 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 2023 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: Talbot Campus Bournemouth University https://www.bournemouth.ac.uk/about/contact-us/directions-maps/directions-our-talbot-campus 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), CTRL: Closed-Loop Data Transcription via Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] Deep Learning for 3D Vision Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Seungjin Choi (Intellicode), [introductory/intermediate] Bayesian Optimization over Continuous, Discrete, or Hybrid Spaces Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare Luc De Raedt (KU Leuven), [introductory/intermediate] From Statistical Relational to Neuro-Symbolic Artificial Intelligence Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Zhiting Hu (University of California, San Diego) & Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A "Standard Model" for Machine Learning with All Experiences Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Abdelrahman Mohamed (Meta), [intermediate/advanced] Speech Representation Learning for Recognition and Generation Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Richa Singh (Indian Institute of Technology Jodhpur), [introductory/intermediate] Trusted AI Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Bram van Ginneken (Radboud University Medical Center), [introductory/intermediate] Deep Learning for Medical Image Analysis Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis 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 January 8, 2023. 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 January 8, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company 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 January 8, 2023. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, local co-chair) Marcin Budka (Bournemouth) Vegard Engen (Bournemouth) Nan Jiang (Bournemouth, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023wi/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. 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 courses 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://irdta.eu/deeplearn/2023wi/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Bournemouth University Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From maanakg at gmail.com Mon Nov 7 00:05:13 2022 From: maanakg at gmail.com (Maanak Gupta) Date: Sun, 6 Nov 2022 23:05:13 -0600 Subject: Connectionists: Call for Papers: ACM Workshop on Secure and Trustworthy Cyber-Physical Systems Message-ID: Dear Colleagues, Please consider submitting and/or forwarding to the appropriate groups/personnel the opportunity to submit to the ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS 2023), which will be held in Charlotte, NC, USA (or virtually) on April 26, 2023 in conjunction with the 13th ACM Conference on Data and Application Security and Privacy (CODASPY 2023). *** Paper submission deadline: December 29, 2022 *** *** Website: https://sites.google.com/view/sat-cps2023 *** SaT-CPS aims to represent a forum for researchers and practitioners from industry and academia interested in various areas of CPS security. SaT-CPS seeks novel submissions describing practical and theoretical solutions for cyber security challenges in CPS. Submissions can be from different application domains in CPS. Example topics of interest are given below, but are not limited to: - Secure CPS architectures - Authentication mechanisms for CPS - Access control for CPS - Key management in CPS - Attack detection for CPS - Threat modeling for CPS - Forensics for CPS - Intrusion and anomaly detection for CPS - Trusted-computing in CPS - Energy-efficient and secure CPS - Availability, recovery, and auditing for CPS - Distributed secure solutions for CPS - Metrics and risk assessment approaches - Privacy and trust - Blockchain for CPS security - Data security and privacy for CPS - Digital twins for CPS - Wireless sensor network security - CPS/IoT malware analysis - CPS/IoT firmware analysis - Economics of security and privacy - Securing CPS in medical devices/systems - Securing CPS in civil engineering systems/devices - Physical layer security for CPS - Security on heterogeneous CPS - Securing CPS in automotive systems - Securing CPS in aerospace systems - Usability security and privacy of CPS - Secure protocol design in CPS - Vulnerability analysis of CPS - Anonymization in CPS - Embedded systems security - Formal security methods in CPS - Industrial control system security - Securing Internet-of-Things - Securing smart agriculture and related domains The workshop is planned for one day, April 26, 2023, on the last day of the conference. Instructions for Paper Authors All submissions must describe original research, not published nor currently under review for another workshop, conference, or journal. All papers must be submitted electronically via the Easychair system: https://easychair.org/conferences/?conf=acmsatcps2023 Full-length papers Papers must be at most 10 pages in length in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template). Submission implies the willingness of at least one author to attend the workshop and present the paper. Accepted papers will be included in the ACM Digital Library. The presenter must register for the workshop before the deadline for author registration. Position papers and Work-in-progress papers We also invite short position papers and work-in-progress papers. Such papers can be of length up to 6 pages in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template), and must clearly state "Position Paper" or "Work in progress," as the case may be in the title section of the paper. These papers will be reviewed and accepted papers will be published in the conference proceedings. Important Dates Due date for full workshop submissions: December 29, 2022 Notification of acceptance to authors: February 9, 2023 Camera-ready of accepted papers: February 17, 2023 Workshop day: April 26, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mci at princeton.edu Fri Nov 4 16:15:37 2022 From: mci at princeton.edu (Marius Catalin Iordan) Date: Fri, 4 Nov 2022 20:15:37 +0000 Subject: Connectionists: PhD Positions in Visual Cognition & Computational Neuroscience Message-ID: The lab of Dr. Marius C?t?lin Iordan at the University of Rochester (Depts. of Brain & Cognitive Sciences and Neuroscience) is recruiting 1-2 PhD students interested in visual cognition + neuroscience and/or quantitative + computational methods applied to human neuroimaging. Apply by December 4 for a Fall 2023 start date. Our lab studies how the human brain organizes conceptual information into categories, events, and stories to understand and interact with our complex, noisy world. More details about our research can be found here: www.MariusCatalinIordan.com. Details re: position, application, compensation, benefits, & friendly lab culture below. [image.jpeg] PhD Program in Brain and Cognitive Sciences: Application Deadline: December 4, 2022. Start Date: September 2023. Application Details & Link: http://www.sas.rochester.edu/bcs/graduate/admission.html Program Info: http://www.sas.rochester.edu/bcs/graduate/curriculum.html. We especially encourage applications from minority and/or underrepresented students. Students with strong computational background & interests may be eligible for a joint PhD degree in Brain and Cognitive Sciences and Computer Science. Ideal candidates have psychology, neuroscience, and/or computer science research experience, as well as programming skills; computational methods and/or neuroimaging experience is a plus. However, strong evidence of passion & dedication for research may partly substitute for the above. In your personal statement, please describe your research contributions during current and past projects, as well as your computational / programming prowess. Also, please make sure to include 1-2 specific cognitive (neuro)science question(s) you would like to pursue in grad school. We look for students who can think clearly about which scientific questions are most important, which methods are best for answering those questions, and why they're passionate! Come work in a welcoming, inclusive, equitable, and friendly environment where you'll be supported and valued. We will train you to become an independent scientist and we'll provide support for achieving your own best path forward, whether in academia or industry. You'll join a growing community of interdisciplinary scientists and you'll have opportunities to collaborate with several communities and departments: Brain and Cognitive Sciences, Psychology, Neuroscience, Data Science, & Computer Science. You'll receive training in psychology & neuroscience, esp. cognition, as well as computational approaches, including machine learning and neural networks. Our lab also provides training opportunities in a cornucopia of techniques and methods, including fMRI, psychophysics, real-time neuroimaging, and neurofeedback. Collaboration opportunities are also available within the department for students interested in EEG and AR/VR. We'll also help you build and hone other valuable and marketable skills, such as teaching, leadership, mentoring, project management, & scientific communication. Your salary will afford you a good standard of living in an inexpensive city: ~$31.5k/yr (currently equiv. to ~120% NIH rate) or external/fellowship funding rate, whichever is higher. We also provide a single plan UR health insurance, full tuition scholarship, paid family leave, and enduring NY state social protections. We believe that being a successful scientist requires not just dedication and supportive mentorship, but also a good work/life balance and the ability to explore one's passions both within and outside the lab. There are lots of ways to enjoy your time here: world-class symphony, great culture and food, exceptionally LGBTQIA+ friendly University and city, 20 min to a sandy beach, 1h to Finger Lakes / wine country / skiing, 2h to great hiking in the Adirondacks. We also have a balanced 4 season climate with weather for every occasion: Lilac Festival in the spring, beautiful sunny summers (<10 days above 90 deg), gorgeous fall foliage, and snowy holidays in the winter. More info here: https://www.visitrochester.com. [ontario_beach.jpg] [pride.jpg] [music_kodak.jpg] [finger-lakes.jpg] [sakura.jpg] [IMG_1155.jpeg] [fall_erie.jpg] [winter_powdermills.jpeg] If you have any questions or would like to request a waiver of the application fee ($30), please reach out to mci (at) rochester (dot) edu. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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The postdoctoral fellow will take part in an ERC-Synergy funded collaboration between the research groups of Yoram Burak (Edmond and Lily Safra Center for Brain Sciences and the Racah Institute of Physics) and of Edvard Moser and May-Britt Moser (Kavli Institute for Theoretical Neuroscience, NTNU). The position offers opportunities to work on diverse theoretical and computational questions. These involve approaches ranging from analysis and interpretation of large scale neural data using computational tools, to pure theoretical modeling. Candidates must have an excellent research record in theoretical neuroscience, theoretical physics, mathematics, computer science, or a related field. Experience with research related to machine learning, statistical physics, nonlinear dynamics, information theory, or large-scale data analysis, as well as prior familiarity with research in computational neuroscience are an advantage. We are looking for candidates with excellent abilities in theoretical research, demonstrated intellectual curiosity and drive, a keen interest in computational neuroscience, and an interest in relating theory to experimental data. Please direct questions to Yoram Burak (email: yoram.burak at elsc.huji.ac.il). *To apply:* Please send the following information to kiloneurons-positions at elsc.huji.ac.il in a single PDF file: 1. Curriculum vitae 2. List of publications 3. Brief statement of research interests 4. The names and contact details of three referees Deadline: For full consideration, applications should be received by December 1, 2022. _________ *Yoram Burak* Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences William N. Skirball Chair in Neurophysics Hebrew University of Jerusalem https://www.buraklab.me | Phone: +972-2-6584523 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Nov 7 03:25:34 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 7 Nov 2022 10:25:34 +0200 Subject: Connectionists: Asynchronous Web e-Courses on Machine Learning and Neural Networks/Deep Learning on offer. Free access to course material References: <000601d82362$a8755aa0$f9600fe0$@csd.auth.gr> <08ad01d8eead$c0153d80$403fb880$@csd.auth.gr> <013001d8eeaf$119e63b0$34db2b10$@csd.auth.gr> Message-ID: <136701d8f282$821bf450$8653dcf0$@csd.auth.gr> Dear Machine Learning, Computer Vision and Autonomous Systems Engineers, Scientists and Enthusiasts, you are welcomed to register and attend the Web e-Course on Computer Vision consisting of the following two CVML Web e-Course Modules on offer (total 22 lectures): Neural Networks/Deep Learning (14 Lectures), http://icarus.csd.auth.gr/neural-networks-and-deep-learning-web-module/ 1. Artificial Neural Networks. Perceptron 2. Multilayer Perceptron. Backpropagation. 3. Convolutional Neural Networks 4. 1D Convolutional Neural Networks 5. Deep Autoencoders 6. Attention and Transformer Networks 7. Recurrent Neural Networks. LSTMs 8. Deep Object Detection 9. Special topics in Object Detection 10. Few-Shot Object Recognition 11. Deep Semantic Image Segmentation 12. Adversarial Machine Learning 13. Generative Adversarial Networks in Multimedia Creation 14. Mathematical Brain Modeling Machine Learning (12 Lectures), http://icarus.csd.auth.gr/machine-learning-web-module/ 1) Introduction to Machine Learning 2) Data Clustering 3) Distance-based Classification 4) Decision Surfaces. Support Vector Machines 5) Label Propagation 6) Dimensionality Reduction 7) Graph-based Dimensionality Reduction 8) Kernel Methods 9) Bayesian Learning 10) Parameter Estimation 11) Hypothesis Testing 12) Syntactic Pattern Recognition Around 50% of the lectures provide free access to the full lecture pdf! You can find sample Web e-Course Module material to make up your mind and/or can perform CVML Web e-Course registration in: http://icarus.csd.auth.gr/cvml-web-lecture-series/ For questions, please contact: Ioanna Koroni > More information on this Web e-course: This Web e-Course Computer Vision material that can cover a semester course, but you can master it in approximately 1 month. Course materials are at senior undergraduate/MSc level in a CS, CSE, EE or ECE or related Engineering or Science Department. Their structure, level and offer are completely different from what you can find in either Coursera or Udemy. CVML Web e-Course Module materials typically consist of: a) a lecture pdf/ppt, b) lecture self-assessment understanding questionnaire and lecture video, programming exercises, tutorial exercises (for several modules/lectures) and overall course module satisfaction questionnaire. Asynchronous tutor support will be provided in case of questions. Course materials have been very successfully used in many top conference keynote speeches/tutorials worldwide and in short courses, summer schools, semester courses delivered by AIIA Lab physically or on-line from 2018 onwards, attracting many hundreds of registrants. More information on other CVML Web e-course: Several other Web e-Course Modules are offered on Deep Learning, Computer Vision, Autonomous Systems, Signal/Image/Video Processing, Human-centered Computing, Social Media, Mathematical Foundations, CVML SW tools. See: http://icarus.csd.auth.gr/cvml-web-lecture-series/ You can combine CVML Web e-Course Modules to create CVML Web e-Courses (typically consisting of 16 lectures) of your own choice that cater your personal education needs. Each CVML Web e-Course you will create (typically 16 lectures) provides you material that can cover a semester course, but you can master it in approximately 1 month. Academic/Research/Industry offer and arrangements Special arrangements can be made to offer the material of these CVML Web e-Course Modules at University/Department/Company level: * by granting access to the material to University/research/industry lecturers to be used as an aid in their teaching, * by enabling class registration in CVML Web e-Courses * by delivering such live short courses physically or on-line by Prof. Ioannis Pitas * by combinations of the above. * The AIDA students are entitled 50% discount for CVML Web e-Course registration. The CVML Web e-Course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Coordinator of International AI Doctoral Academy (AIDA), past Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 34100+ citations to his work and h-index 87+. The informatics Department at AUTH ranked 106th internationally in the field of Computer Science for 2019 in the Leiden Ranking list Relevant links: 1. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2. International AI Doctoral Academy (AIDA): https://www.i-aida.org/ 3. Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 4. Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 5. Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 6. AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From kai.sauerwald at fernuni-hagen.de Mon Nov 7 02:56:10 2022 From: kai.sauerwald at fernuni-hagen.de (Kai Sauerwald) Date: Mon, 7 Nov 2022 08:56:10 +0100 Subject: Connectionists: UR@FLAIRS-36: Uncertain Reasoning Special Track at The 36th International FLAIRS Conference (FLAIRS-36) Message-ID: *** First Call for Papers *** ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Uncertain Reasoning (UR) Special Track at The 36th International FLAIRS Conference (FLAIRS-36) In cooperation with the American Association for Artificial Intelligence Clearwater Beach, Florida, USA May 14-17, 2023 Abstract submission deadline: February 6, 2023 Paper submission deadline: February 13, 2023 Notification: March 13, 2023 All accepted papers will be included in the FLAIRS proceedings published by Florida Online Journals Invited papers will be published in a special journal issue http://ur-flairs.github.io/2023/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Call For Papers The Special Track on Uncertain Reasoning (UR) is the oldest track in FLAIRS conferences, running annually since 1996. The UR Special Track at the 36th International Florida Artificial Intelligence Research Society Conference (FLAIRS-36) is the 28th in the series. Like the past tracks, UR seeks to bring together researchers working on broad issues related to reasoning under uncertainty. Topics of Interest Papers on all aspects of uncertain reasoning are invited. Papers of particular interest include, but are not limited to: *Uncertain reasoning formalisms, calculi and methodologies *Reasoning with probability, possibility, fuzzy logic, belief function, vagueness, granularity, rough sets, and probability logics *Modeling and reasoning using imprecise and indeterminate information, such as: Choquet capacities, comparative orderings, convex sets of measures, and interval-valued probabilities *Exact, approximate and qualitative uncertain reasoning *Probabilistic graphical models of uncertainty such as: Bayesian networks, Markov random field, probabilistic circuits *Multi-agent uncertain reasoning and decision-making *Decision-theoretic planning and Markov decision process *Temporal reasoning and uncertainty *Non-monotonic reasoning *Conditional Logics *Argumentation *Belief change and merging *Similarity-based reasoning *Ontologies and description logics *Construction of models from elicitation, data mining and knowledge discovery *Uncertain reasoning in information retrieval, filtering, fusion, diagnosis, prediction, situation assessment *Uncertain reasoning in data management *Practical applications of uncertain reasoning *Learning probabilistic models *Applications in computer vision and animation === Paper Submission and Publication === Submitted papers must be original, and not submitted concurrently to a journal or another conference while under review. Interested authors should format their papers according to FLAIRS-36 conference formatting guidelines. Papers should not exceed 6 pages (4 pages for a poster) and are due by February 13, 2023. The reviewing is a double blind process. Author names and affiliations must be omitted on submitted papers. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-36.info/). Authors should indicate the Uncertain Reasoning special track for submissions. All accepted papers will be included in the proceedings of FLAIRS, which will be published by the Florida Online Journals. FLAIRS requires that there be at least one full author registration per paper. Instructions on the submission procedure are available at the UR website: http://ur-flairs.github.io/2023 We anticipate there will be a special issue devoted to extended versions of selected papers at the track. === Important Dates === Abstract submission due: Feb. 6, 2023 Paper submission due: Feb. 13, 2023 Author Notification: Mar. 13, 2023 === Program Committee === [ Track Chairs ] Kai Sauerwald University of Hagen, Germany Choh Man Teng Institute for Human and Machine Cognition, USA [ PC Members ] Mohand Said Allili (Universit? du Qu?bec en Outaouais) Alessandro Antonucci (IDSIA, Switzerland) Ofer Arieli (The Academic College of Tel-Aviv, Israel) Christoph Beierle (FernUniversit?t in Hagen, Israel) Salem Benferhat (University of Artois, France) Stefano Bistarelli (University of Perugia, Italy) Nizar Bouguila (Concordia University, Canada) Martine Ceberio (University of Texas at El Paso, US) Lluis Godo (University of Barcelona, Spain) Christophe Gonzales (LIS, France) Gabriele Kern-Isberner (University of Technology Dortmund, Germany) Vladik Kreinovich (University of Texas at El Paso, US) Philippe Leray (University of Nantes, France) Nicholas Mattei (Tulane University, US) Ralf M?ller (University of L?beck, Germany) Rafael Pe?aloza Nyssen (University of Milano-Bicocca, Italy) Eugene Santos (Dartmouth College, US) Dilip Sarkar (University of Miami, US) Kari Sentz (Los Alamos National Laboratory, US) Karima Sedki (University of Paris 13, France) Karim Tabia (University of Artois, France) Carlo Taticchi (University of Perugia, Italy) (more to be added) === Travel Information === Additional information on the conference locale and travel planning can be found at http://www.flairs-36.info. From jeanpascal.pfister at unibe.ch Mon Nov 7 03:50:55 2022 From: jeanpascal.pfister at unibe.ch (jeanpascal.pfister at unibe.ch) Date: Mon, 7 Nov 2022 08:50:55 +0000 Subject: Connectionists: Open PhD and post-doc positions at the University of Bern Message-ID: <59E0399A-5FCB-4F97-B2BE-EE4777F3E339@unibe.ch> Applications are invited for two PhD student positions and one post-doc position at the University of Bern. The positions are funded by a grant from the Swiss National Science Foundation which is entitled ?Why Spikes??. This project aims at answering an almost 100 year old question in Neuroscience: ?What are spikes good for??. Indeed, since the discovery of action potentials by Lord Adrian in 1926, it has remained largely unknown what the benefits of spiking neurons are, when compared to analog neurons. Traditionally, it has been argued that spikes are good for long-distance communication or for temporally precise computation. However, there is no systematic study that quantitatively compares the communication as well as the computational benefits of spiking neuron w.r.t analog neurons. The aim of the project is to systematically quantify the benefits of spiking at various levels. The PhD students and post-doc will be supervised by Prof. Jean-Pascal Pfister (Theoretical Neuroscience Group, Department of Physiology, University of Bern). The PhD candidates (resp. post-doc candidate) should hold a Master (resp. PhD) degree in Physics, Mathematics, Computer Science, Computational Neuroscience, Neuroscience or a related field. She/he should have keen interests in developing theories that can be tested experimentally. Preference will be given to candidates with strong mathematical and programming skills. Expertise in stochastic dynamical systems, point processes, control theory and nonlinear Bayesian filtering will be a plus. The applicant should submit a CV (including contacts of two referees), a statement of research interests, marks obtained for the Master to Jean-Pascal Pfister (jeanpascal.pfister at unibe.ch). The position is offered for a period of three years and can be extended. The preferred starting date is February 2023. Salary scale is provided by the Swiss National Science Foundation (http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf). Deadline for application is the 30th of November 2022 or until the position is filled. --------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Physiology Department, University of Bern 5 B?hlplatz, CH-3012 Bern, CH e-mail: jeanpascal.pfister at unibe.ch URL: http://www.physio.unibe.ch/~pfister/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Nov 7 08:49:55 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 7 Nov 2022 15:49:55 +0200 Subject: Connectionists: Live free e-Lecture by Prof. Ioannis Pitas "AI Science and Engineering, a new scientific discipline? Societal and environmental impact", Tuesday, 15th November 2022, 17:00-18:00 CET Message-ID: <174d01d8f2af$d2511f40$76f35dc0$@csd.auth.gr> Dear AI enthusiast/scientist/engineer/student, Prof. Ioannis Pitas, a prominent AI researcher internationally, will deliver the e-lecture: "AI Science and Engineering, a new scientific discipline? Societal and environmental impact" on Tuesday 15th November 2022 17:00-18:00 CEST (8:00-9:00 am PST), (12:00 am-1:00am CST). You can join for free without registration using the zoom link: https://authgr.zoom.us/j/94255772113 Passcode: 867064 Attendance is free. Lecture: "AI Science and Engineering, a new scientific discipline? Societal and environmental impact" Abstract: Is "AI Science and Engineering" an un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering? As Artificial Intelligence (AI) studies and research flourish worldwide, it is worth debating whether we already observe the birth of a new discipline in the exact sciences that goes beyond the classical specializations of Computer Science (CS) and Electrical/Computer Engineering (ECE). It is natural that AI and its various domains, notably Machine Learning, will share methods and curriculum with both CS and ECE. However, this is not really enough to move from our current Data/Information Society to a Knowledge Society. We certainly need a fusion of AI with brain and mind studies, notably Neuroscience, Cognitive Science and Psychology. Furthermore, AI has a huge impact on both our society and environment. We already observe strong AI applications in social engineering domains, e.g., on recommendation systems, on-line marketing, social media, meta-societies and fake news. It is natural that such applications will influence the AI Science and Engineering discipline itself. Furthermore, as humans consist of matter and live in a spatiotemporally evolving environment, life and environment studies, e.g., on matter complexity, can have a fundamental impact on both the understanding of life and human intelligence and on the development of AI. However, as students cannot be polymaths, are all the above issues too many to fit in one scientific discipline? Is there a danger that we sacrifice scientific depth to interdisciplinarity? Can we envisage other sister-disciplines, e.g., Mind and Social Science and Engineering and/or Bioscience and Engineering that can address students with interests and background in Liberal Arts and Sciences or Biology/Medicine/Health Sciences? No matter their exact form, AI Science and Engineering and its sister disciplines have many great challenges to address. Here is a partial list: * Is AI Science and Technology a scientific discipline in its own right? * How can we quantify knowledge? * Can Virtual Reality truly empower meta-societies or is it just a hype? * Can AI-powered human-centred computing surpass human intelligence? * Can we create self-conscious machines? * Can Mind and Social Engineering manipulate human behaviour and social functions? * How do social media facilitate disinformation? * What are the envisaged effects of AI and IT on our personal relations and sexual life? * How can we not only protect but also monetize our personal data? * Can AI help devising new political systems? * How are irrationalism, anti-elitism, and social media disinformation related? * Can new technologies ignite social revolutions? * Is life and intelligence due to matter complexity? * Can we patch parts of our brain? * Is climate controllable through Geoengineering? * Can humanity progress without resorting to energy-intensive technologies? As each of them needs an entire book to be properly addressed, this lecture will simply introduce few of these challenges for further discussion and debate. All the above issues are addressed in the new 1050+ page book "Artificial Intelligence Science and Society" consisting of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner: 1. "Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology" https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860 2. "Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans" https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860 3. "Artificial Intelligence Science and Society Part C: AI Science and Society" https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860 4. "Artificial Intelligence Science and Society Part D: AI Science and the Environment" https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860 About the Lecturer: This lecture and book are a result of a two-year effort by Prof. Ioannis. Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) and was influenced by his being principal investigator of 75+ R&D projects on Computer Vision, Machine Learning, Digital Media and chairing the International AI Doctoral Academy (AIDA). Prof. I. Pitas is Director of the Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. He was chair and initiator of the IEEE Autonomous Systems Initiative (ASI). He has (co-)authored 15 books, 45 book chapters and over 950 papers in the above topics. He has 34500+ citations to his work and h-index 87+. He is ranked 319 worldwide and first in Greece in the field of Computer Science (2022). This lecture is part of the SIG Icarus 'Digital days' lectures offered by the AIIA Computer Vision and Machine Learning ( AIIA.CVML) R&D group of the Artificial Intelligence and Information Analysis ( AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From jncor at dei.uc.pt Mon Nov 7 19:27:07 2022 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Tue, 8 Nov 2022 00:27:07 +0000 Subject: Connectionists: Extended Deadline of the CfP for EvoApplications 2023 - 26th European Conference on the Applications of Evolutionary and bio-inspired Computation Message-ID: Dear Colleague(s), Apologies for cross-posting. We are organising the 26th International Conference on the Applications of Evolutionary Computation (EvoApplications) which will be held as part of EvoStar on April 12-14, 2023, in Brno, Czech Republic. EvoApplications invites you to submit high-quality contributions on applications of evolutionary computation and other nature-inspired techniques. The submission deadline was extended to the 16th of November 2022. Please visit https://www.evostar.org/2023/evoapps for more information. EvoApplications is in the conference ranking database CORE http://portal.core.edu.au/conf-ranks/2218/ Best regards, The EvoApps 2023 chairs Jo?o Correia Stephen Smith Raneem Qaddoura ----------------------------------------------- Call for papers for the EvoApps 2023 conference https://www.evostar.org/2023/evoapps Submission Deadline: November 16, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic **** News **** .EvoApps Special Sessions: https://www.evostar.org/2023/evoapps Special Sessions: .Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications .Applications of Bio-inspired techniques on Social Networks .Evolutionary Computation for Sustainability .Evolutionary Computation in Edge, Fog, and Cloud Computing .Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition .Machine Learning and AI in Digital Healthcare and Personalized Medicine .Resilient Bio-Inspired Algorithms .Soft Computing applied to Games .Surrogate-Assisted Evolutionary Optimisation .Evolutionary Machine Learning (Joint-track with EuroGP) ----------------------------------------------- EvoApplications, the International Conference on the Applications of Evolutionary Computation -formerly known as EvoWorkshops- brings together researchers in applications of Evolutionary Computation and other Nature-inspired techniques. EvoApplications invites high-quality contributions for its 26th edition, which will be held as part of the EvoStar 2023 event and co-located within EvoStar with three related conferences: EuroGP, EvoCOP and EvoMUSART. EvoApplications aims to create a friendly environment that can lead to the establishment or strengthening of scientific collaborations and exchanges among attendees. Therefore, EvoApplications solicits high-quality original research papers (including significant work-in-progress) on any aspect of applications of Evolutionary Computation, both in real-world or methodological contexts in which Evolutionary Computation can contribute to pushing the limits of the state of the art beyond the present ones. We encourage you to submit papers focused on interesting, relevant and original works that are related to all kinds of applications of Evolutionary Computation. *** Important Dates, Venue and Publication *** Submission Deadline: November 16, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic All accepted papers will be printed in the proceedings published by Springer Nature in the Lecture Notes in Computer Science (LNCS) series. Please check the website for more information: http://www.evostar.org/2023/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Tue Nov 8 11:25:18 2022 From: Pavis at iit.it (Pavis) Date: Tue, 8 Nov 2022 16:25:18 +0000 Subject: Connectionists: 2 PHD POSITIONS on Computational Vision at PAVIS - IIT Italy & University of Genoa, Italy In-Reply-To: References: <4f98593862ae43fd887f7039be1caa4f@iit.it>, <395419cefcc14ca6a30e291022c9e747@iit.it>, <7b0266aa5fcb4aad8b8927157dcff770@iit.it>, , Message-ID: 2 PHD POSITIONS ON COMPUTATIONAL VISION AT IIT ? PAVIS IN COLLABORATION WITH UNIVERSITY OF GENOA, ITALY The Italian Institute of Technology ? IIT, www.iit.it ? in collaboration with University of Genoa ?https://unige.it/en ? funds 2 PhD scholarships on Computational Vision, Automatic Recognition and Learning. Research and training activities are jointly conducted between the DITEN Department of University of Genova http://phd-stiet.diten.unige.it/ and IIT infrastructures in Genoa, at the PAVIS - Pattern Analysis and Computer Vision Research line https://pavis.iit.it/ led by its Principal Investigator, Alessio Del Bue. ? RESEARCH TOPICS: Theme A: 3D scene understanding with geometrical and deep learning reasoning Theme B: Deep Learning for Multi-modal scene understanding Theme C: Self-Supervised and Unsupervised Deep Learning Theme D: Visual Reasoning with Knowledge and Graph Neural Networks Detailed description at:? https://pavisdata.iit.it/data/phd/2023_ResearchTopicsPhD_IIT-PAVIS.pdf PAVIS The PhD program on the listed topics will take place at the PAVIS research line of IIT located in Genova (www.iit.it). The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, also in collaboration with other research groups at IIT. PAVIS staff has a wide expertise in computer vision and pattern recognition, machine learning, image processing, and related applications (related to assistive and monitoring AI systems). Successful candidates will be part of an exciting and international working environment and will work in brand new laboratories equipped with state-of-the-art instrumentation. Excellent communication skills in English, as well as ability to interact effectively with members of the research team, are mandatory. For more information, you can also browse the PAVIS webpage http://pavis.iit.it/ to see our activities and research. HOW TO APPLY Full information, official call and course description are available at? ITALIAN https://unige.it/usg/it/dottorati-di-ricerca ENGLISH https://unige.it/en/usg/en/phd-programmes Official call: https://unige.it/sites/contenuti.unige.it/files/documents/BANDO%2038%20CICLO%20novembre%20-%20EN.pdf Course description for XXXVIII Phd Course in Science and Technology for Electronic and Telecommunication Engineering, curriculum in Computer Vision, Automatic Recognition and Learning (CODE 9540) is on page 59 of the list of PhD programmes: https://unige.it/sites/contenuti.unige.it/files/documents/ALLEGATO_A_XXXVIII%20-%20EN_0.pdf Follow the steps listed: 1. Choose the programme 2. Review the application 3. Apply here https://servizionline.unige.it/studenti/post-laurea/dottorato/domanda following the detailed instructions: https://unige.it/sites/contenuti.unige.it/files/documents/Guida_eng_XXXVIII.pdf WHAT TO SUBMIT A detailed CV, a research proposal under one or more topics chosen among those above indicated, reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. Refer also to the indications stated at pg. 59 of the course description document, above mentioned. IMPORTANT: In order to apply, candidates must prepare the research proposal based on the research topics above mentioned. Please, follow these indications to prepare it https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf For FURTHER INFORMATION on the research topics contact Dr. Del Bue at pavis at iit.it DEADLINE Deadline for application is December 6, 2022 at 12 PM (noon, Italian time/CEST) STRICT DEADLINE, NO EXTENSION. Apply before deadline, the application process is not immediate: don?t wait for the final day. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Tue Nov 8 10:14:19 2022 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Tue, 8 Nov 2022 15:14:19 +0000 Subject: Connectionists: [jobs] Post-doc position in Psychology-Inspired Computing for Robot Assistants Message-ID: Dear Colleagues, [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to potential candidates who might be interested.] Postdoctoral fellowship in Psychology-Inspired Computing for Robot Assistants The goal of the position is to create prediction methods for proactive planning of future robot actions and to design robot acting mechanisms for adaptive response ranging from quick and intuitive to slower well-reasoned. We combine sensing across multiple modalities with learned knowledge to predict outcomes and choose the best actions. The goal is to transfer these skills to human-robot interaction in home scenarios, including the support of everyday tasks and physical rehabilitation. Thus, it is relevant to work with implementation and research within robot perception and control for the robot tasks. User studies through human-robot interaction experiments are to be performed. A PhD fellow and a researcher are already hired for the project and will complement in performing the above outlined research. The position is a part of the research project Predictive and Intuitive Robot companion (PIRC) funded by the Research Council of Norway. The project is affiliated with RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo (see https://www.uio.no/ritmo/english/projects/pirc/ and https://www.uio.no/ritmo/english ). The fellowship is a full-time position with a fixed-term period of three years, with a preferred start date 1 February 2023. However, there is an option for extension of the employment period by one year depending on background and qualifications for contributing to teaching and supervision. We have several international collaborators and having a stay of up to 6 months with one of these can be relevant. The University of Oslo is Norway?s oldest and highest rated institution of research and education with 28 000 students and 7500 employees. Qualifications: Applicants must have a PhD degree or other corresponding education equivalent to a Norwegian doctoral degree in computer science, robotics, or other relevant field. Thus, applicants should have a strong background in programming, as well as machine learning/deep learning and robotics. Skills in human activity recognition, working with different types of real-world sensor data, multimodal sensor data processing/classification, addressing ethical challenges, perception and control are considered advantageous. A number of partners are involved in the project so collaboration skills would also be assessed. Pay grade (depending on qualifications and seniority): NOK 544 400 ? 626 300 per year, approx.: ? or $ 53,373 ? 61,402 Announcement: https://www.jobbnorge.no/en/available-jobs/job/234964/postdoctoral-fellowship-in-psychology-inspired-computing-for-robot-assistants Deadline for applications: 29 November, 2022 Applications are to be submitted through a web page and NOT by e-mail. Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From maanakg at gmail.com Tue Nov 8 13:30:06 2022 From: maanakg at gmail.com (Maanak Gupta) Date: Tue, 8 Nov 2022 12:30:06 -0600 Subject: Connectionists: Call for Papers: ACM Symposium on Access Control Models and Technologies Message-ID: ACM SACMAT 2023 June 7-9, 2023 - Trento, Italy http://www.sacmat.org ----------------------------------------------- The ACM Symposium on Access Control Models and Technologies (SACMAT) is the premier forum for the presentation of research results and experience reports on leading edge issues of access control, including models, systems, applications, and theory. The aims of the symposium are to share novel access control solutions that fulfill the needs of heterogeneous applications and environments, and to identify new directions for future research and development. SACMAT provides researchers and practitioners with a unique opportunity to share their perspectives with others interested in the various aspects of access control. Topics of Interest ============================================================== Submissions covering any relevant area of access control are welcomed. Areas include, but are not limited to, the following: * Authentication: ** Biometric-based Authentication ** Identity management ** Location-based Authentication ** Password-based Authentication ** Usable authentication * Data Security: ** Big data ** Data leakage prevention ** Data protection on untrusted infrastructure ** Databases and data management * Mechanisms: ** AI/ML Technologies ** Blockchain Technologies ** Cryptographic Technologies ** Economic models and game theory ** Hardware-security Technologies (e.g., Intel SGX, ARM TrustZone) ** Programming-language based Technologies ** Trust Management ** Usable mechanisms * Network: ** Corporate and Military-grade Networks ** Network systems (e.g., Software-defined network, Network function virtualization) ** Opportunistic Network (e.g., delay-tolerant network, P2P) ** Overlay Network ** Satellite Network ** Wireless and Cellular Networks * Policies and Models: ** Analysis of Models ** Analysis of policy languages ** Efficient enforcement of policies ** Extension of Models ** Extension of policy languages ** New Access Control Models ** Novel policy language design ** Policy engineering and policy mining ** Usable access control policy ** Verification of policy languages * Privacy and Privacy-enhancing Technologies: ** Access control and identity management with privacy ** Anonymous communication and censorship resistance ** Anonymous protocols (e.g., Tor) ** Attacks on Privacy and their defenses ** Cryptographic tools for privacy ** Data protection technologies ** Mixers and Mixnets ** Online social networks (OSN) * Systems: ** Autonomous systems (e.g., UAV security, autonomous vehicles, etc) ** Cloud systems and their security ** Cyber-physical and Embedded systems ** Design for resiliency ** Designing systems with zero-trust architectures ** Distributed systems ** Fog and Edge-computing systems ** IoT systems (e.g., home-automation systems) ** Mobile systems ** Operating systems ** WWW Call for Research Papers ============================================================== Papers offering novel research contributions are solicited for submission. Accepted papers will be presented at the symposium and published by the ACM in the symposium proceedings. We also encourage submissions to the "Work-in-progress Track" to present ideas that may have not been completely developed and experimentally evaluated. In addition to the regular research track, this year SACMAT will again host the special track ? "Blue Sky/Vision Track". Researchers are invited to submit papers describing promising new ideas and challenges of interest to the community as well as access control needs emerging from other fields. We are particularly looking for potentially disruptive and new ideas which can shape the research agenda for the next 10 years. Submission Cycles ------------------------- ACM SACMAT 2023 Regular and Work-in-progress Tracks will have two submission cycles. Authors submitting papers in the first submission cycle will have the opportunity to receive a major revision verdict in addition to the usual accept and reject verdicts. Authors can decide to prepare a revised version of the paper and submit it to the second submission cycle for consideration. Major revision papers will be reviewed by the program committee members based on the criteria set forward by them in the first submission cycle. Paper Submission and Format ------------------------- ** Regular Track Paper ** Papers must be written in English. Authors are required to use the ACM format for papers, using the two-column SIG Proceedings Template (the sigconf template for LaTex) available in the following link: https://www.acm.org/publications/authors/submissions The length of the paper in the proceedings format must not exceed twelve US letter pages formatted for 8.5" x 11" paper and be no more than 5MB in size. It is the responsibility of the authors to ensure that their submission will print easily on simple default configurations. The submission must be anonymous, so information that might identify the authors - including author names, affiliations, acknowledgements, or obvious self-citations - must be excluded. It is the authors' responsibility to ensure that their anonymity is preserved when citing their own work. Submissions should be made by the paper submission deadline to the EasyChair conference management system ( https://easychair.org/my/conference?conf=acmsacmat2023). When submitting papers, please pay attention to the submission cycle you are submitting in. All submissions must contain a significant original contribution. That is, submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal, conference, or workshop. In particular, simultaneous submission of the same work is not allowed. Wherever appropriate, relevant related work, including that of the authors, must be cited. Submissions that are not accepted as full papers may be invited to appear as short papers. At least one author from each accepted paper must register for the conference prior to the camera-ready deadline and is required to (physically) present it at the conference. ** Work-in-progress Track ** Authors are invited to submit papers in the newly introduced work-in-progress track. This track is introduced for (junior) authors, ideally Ph.D. and Master's students, to obtain early, constructive feedback on their work. Submissions in this track should follow the same format as for the regular track papers while limiting the total number of pages to six US letter pages. Paper submitted in this track should be anonymized and can be submitted by the same deadline as for the regular track to the EasyChair conference management system ( https://easychair.org/my/conference?conf=acmsacmat2023) ** Blue Sky Track ** All submissions to this track should be in the same format as for the regular track, but the length must not exceed ten US letter pages, and the submissions are not required to be anonymized (optional). Submissions to this track should be submitted by the same deadlines as the ones for the second cycle of the regular track to the EasyChair conference management system (https://easychair.org/my/conference?conf=acmsacmat2023). Other Calls ============================================================== Call for Demos ------------------------- A demonstration proposal should clearly describe (1) the overall architecture of the system or technology to be demonstrated, and (2) one or more demonstration scenarios that describe how the audience, interacting with the demonstration system or the demonstrator, will gain an understanding of the underlying technology. Submissions will be evaluated based on the motivation of the work behind the use of the system or technology to be demonstrated and its novelty. Demonstration proposals should be in the same format as for the regular track, but the length must not exceed four US letter pages, and the submission should not be anonymized. A two-page description of the demonstration will be included in the conference proceedings. Submissions are expected to be submitted through the EasyChair conference management system (https://easychair.org/my/conference?conf=acmsacmat2023) by the demo submission deadline. Call for Posters ------------------------- SACMAT 2023 will include a poster session to promote discussion of ongoing projects among researchers in the field of access control and computer security. Posters can cover preliminary or exploratory work with interesting ideas, or research projects in early stages with promising results in all aspects of access control and computer security. Authors interested in displaying a poster must submit a poster abstract in the same format as for the regular track, but the length must not exceed three US letter pages, and the submission should not be anonymized. Accepted poster abstracts will be included in the conference proceedings. Submissions are expected to be submitted through the EasyChair conference management system (https://easychair.org/my/conference?conf=acmsacmat2023) by the poster submission deadline. Financial Conflict of Interest (COI) Disclosure: ============================================================== In the interests of transparency and to help readers form their own judgments of potential bias, ACM SACMAT requires authors and PC members to declare any competing financial and/or non-financial interests in relation to the work described. Definition ------------------------- For the purposes of this policy, competing interests are defined as financial and non-financial interests that could directly undermine, or be perceived to undermine the objectivity, integrity, and value of a publication, through a potential influence on the judgments and actions of authors with regard to objective data presentation, analysis, and interpretation. Financial competing interests include any of the following: * Funding: Research support (including salaries, equipment, supplies, and other expenses) by organizations that may gain or lose financially through this publication. A specific role for the funding provider in the conceptualization, design, data collection, analysis, decision to publish, or preparation of the manuscript, should be disclosed. * Employment: Recent (while engaged in the research project), present or anticipated employment by any organization that may gain or lose financially through this publication. * Personal financial interests: Ownership or contractual interest in stocks or shares of companies that may gain or lose financially through publication; consultation fees or other forms of remuneration (including reimbursements for attending symposia) from organizations that may gain or lose financially; patents or patent applications (awarded or pending) filed by the authors or their institutions whose value may be affected by publication. For patents and patent applications, disclosure of the following information is requested: patent applicant (whether author or institution), name of the inventor(s), application number, the status of the application, specific aspect of manuscript covered in the patent application. It is difficult to specify a threshold at which a financial interest becomes significant, but note that many US universities require faculty members to disclose interests exceeding $10,000 or 5% equity in a company. Any such figure is necessarily arbitrary, so we offer as one possible practical alternative guideline: "Any undeclared competing financial interests that could embarrass you were they to become publicly known after your work was published." We do not consider diversified mutual funds or investment trusts to constitute a competing financial interest. Also, for employees in non-executive or leadership positions, we do not consider financial interest related to stocks or shares in their company to constitute a competing financial interest, as long as they are publishing under their company affiliation. * Non-financial competing interests: Non-financial competing interests can take different forms, including personal or professional relations with organizations and individuals. We would encourage authors and PC members to declare any unpaid roles or relationships that might have a bearing on the publication process. Examples of non-financial competing interests include (but are not limited to): ** Unpaid membership in a government or non-governmental organization ** Unpaid membership in an advocacy or lobbying organization ** Unpaid advisory position in a commercial organization ** Writing or consulting for an educational company ** Acting as an expert witness Conference Code of Conduct and Etiquette ============================================================== ACM SACMAT will follow the ACM Policy Against Harassment at ACM Activities. Please familiarize yourself with the ACM Policy Against Harassment (available at https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/ policy-against-discrimination-and-harassment) and guide to Reporting Unacceptable Behavior (available at https://www.acm.org/about-acm/reporting-unacceptable-behavior). AUTHORS TAKE NOTE ============================================================== The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) Important Dates ============================================================== Research Papers ------------------------- Note that: - Cycle 1 is only intended for Regular and Work-in-progress Tracks; - Cycle 2 is intended for Regular, Work-in-progress and Blue Sky Tracks. * Submission (Cycle 1): December 15, 2022 (11:59 pm AoE) * Submission (Cycle 2): February 17, 2023 (11:59 pm AoE) * Rebuttal (Cycle 1): Not provided * Rebuttal (Cycle 2): March 27-30, 2023 * Notification to Authors (Cycle 1): January 23, 2023 * Notification to Authors (Cycle 2): April 12, 2023 * Camera Ready: May 5, 2023 Demos and Posters ------------------------- * Submission: April 14, 2023 (11:59 pm AoE) * Notification to Authors: April 21, 2023 * Camera Ready: May 5, 2023 Event ------------------------- * Conference: June 7-9, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From chz8 at aber.ac.uk Tue Nov 8 14:11:17 2022 From: chz8 at aber.ac.uk (Christine Zarges [chz8] (Staff)) Date: Tue, 8 Nov 2022 19:11:17 +0000 Subject: Connectionists: Call for Papers: Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications (Extended Deadline: November 16, 2022) Message-ID: <16CFF2C2-CD1A-4B30-A9AF-E31B6E42D6D3@aber.ac.uk> Dear colleagues, This is to let you know that the deadline for our EvoApps Special Session has been extended to November 16, 2022 (AoE). Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications organized by Thomas Bartz-Beielstein, Carola Doerr, and Christine Zarges The main idea is to bring together people who are interested in building bridges between the theoretical analysis of EAs, their empirical evaluation, and/or their applications. We essentially welcome all papers that motivate such a bridge and/or are explicit about how results can be transferred in one way or the other. The official call for papers is here: https://www.evostar.org/2023/evoapps/tmp/ A text version can also be found below Submission deadline is November 16, Anywhere on Earth The conference will take place in beautiful Brno, Czech Republic, April 12-14, 2023 Do not hesitate to reach out if you would like to discuss a possible submission or if you have any other questions about the special session. Best wishes, Thomas Bartz-Beielstein, TH K?ln, Germany, thomas.bartz-beielstein at th-koeln.de Carola Doerr, Sorbonne Universit?, France, Carola.Doerr at lip6.fr Christine Zarges, Aberystwyth University, UK, chz8 at aber.ac.uk ***************************************************************************************************************** Call for Papers: EvoApps 2023 Special Session Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications http://www.evostar.org/2023/evoapps/tmp/ April 12-14, 2023 Brno, Czech Republic held as part of EvoStar (http://www.evostar.org/2022/) ***************************************************************************************************************** Theory, empirics, and practice are often considered in isolation in our research community. However, recent work has demonstrated that collaboration across the three different types of research can be highly mutually beneficial. For example, empirical results serve as proof of concept for real-world applications and inspiration for new theoretical considerations. Theoretical insights can provide necessary insights into problem properties and algorithm behaviour and hence improve the applicability of heuristics in empirics and practice. Real-world problems provide inspiration for new theoretical and empirical studies and inform the development of important benchmarks. This special session aims at bridging the gap between theory, empirics, and practice in evolutionary computation by fostering communication, discussion, and exchange across different parts of the community. Topics of Interest: We welcome contributions from all areas of evolutionary computation and other randomised search heuristic, irrespective of the nature of the considered problems or search spaces. Particular areas of interest include but are not limited to: - Carefully designed empirical studies - Theoretical work highlighting the insights generated by the analyses performed - Examples of successful knowledge transfer of theoretical analysis or empirical studies into a practical scenario - Theory that is inspired by phenomena observed in practice or empirical analyses - Efficient means to bridge the gap between theory, empirics, and practice such as benchmarking **** Submission Details **** Page limit: 16 pages, Springer LNCS format, double-blind reviewing process Submission link and details: https://www.evostar.org/2023/submit/ **** Important Dates **** Submission deadline: November 16, 2022 (AoE) EvoStar: April 12-14, 2023 **** Organizers **** Thomas Bartz-Beielstein, TH K?ln, Germany, thomas.bartz-beielstein at th-koeln.de Carola Doerr, Sorbonne Universit?, France, Carola.Doerr at lip6.fr Christine Zarges, Aberystwyth University, UK, chz8 at aber.ac.uk ---------------------------------------------------------------------------------------------------------------------- Y Brifysgol orau yn y DU am Ansawdd ei Dysgu a Phrofiad Myfyrwyr Best University in the UK for Teaching Quality and Student Experience (The Times and Sunday Times, Good University Guide 2021) Rydym yn croesawu gohebiaeth yn Gymraeg a Saesneg. Cewch ateb Cymraeg i bob gohebiaeth Gymraeg ac ateb Saesneg i bob gohebiaeth Saesneg. Ni fydd gohebu yn Gymraeg yn arwain at oedi. We welcome correspondence in Welsh and English. Correspondence received in Welsh will be answered in Welsh and correspondence in English will be answered in English. Corresponding in Welsh will not involve any delay. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jncor at dei.uc.pt Wed Nov 9 03:00:00 2022 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Wed, 9 Nov 2022 08:00:00 +0000 Subject: Connectionists: CfP Extended Deadline for Evostar 2023 - The Leading European Event on Bio-Inspired Computation - 12-14 April 2023 Message-ID: Dear Colleague(s), Below you will find the extended deadline of the call for papers for EvoStar 2023. Feel free to distribute and thank you for your time. Best regards, Jo?o Correia EvoStar Publicity Chair ---------------------------------------------------------------------- Call for papers for the EvoStar 2023 conference http://www.evostar.org/2023/ Submission Deadline: November 16, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic News: ** EvoApps Special Sessions: https://www.evostar.org/2023/evoapps/ ** EvoStar 2022 LBAs published You can find the late-breaking abstract at: https://arxiv.org/abs/2208.00555 Please distribute (Apologies for cross-posting) ------------------------------------------------ EvoStar comprises four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years. EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with the inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange. The four conferences include: - EuroGP 26th European Conference on Genetic Programming http://www.evostar.org/2023/eurogp/ - EvoApplications 26th European Conference on the Applications of Evolutionary and bio-inspired Computation http://www.evostar.org/2023/evoapps/ - EvoCOP 23rd European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2023/evocop/ - EvoMUSART 12th International Conference (and 17th European event) on Artificial Intelligence in Music, Sound, Art and Design. http://www.evostar.org/2023/evomusart/ *** Important Dates, Venue and Publication *** Submission Deadline: November 16, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic All accepted papers will be printed in the proceedings published by Springer Nature in the Lecture Notes in Computer Science (LNCS) series. Please check the website for more information: http://www.evostar.org/2023/ And follow us at: Facebook - https://www.facebook.com/evostarconf/ Twitter - https://twitter.com/EvostarConf/ Instagram - https://www.instagram.com/evostarconference/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From haim.dub at gmail.com Wed Nov 9 05:41:46 2022 From: haim.dub at gmail.com (Haim Dubossarsky) Date: Wed, 9 Nov 2022 10:41:46 +0000 Subject: Connectionists: 2-year postdoc in NLP/data science Message-ID: Dear colleagues, We are hiring a second postdoc! Do you have a lot of drive and are interested in getting engaged in a vibrant, new research field with the chance to work with some of the best in the field? We are announcing one or more 2-year postdoc positions in identification and analysis of lexical semantic change using computational models applied to diachronic texts. Application deadline November 15! Our languages change over time. As a consequence, words may look the same, but have different meanings at different points in time, a phenomenon called lexical semantic change (LSC). To facilitate interpretation, search, and analysis of old texts, we build computational methods for automatic detection and characterization of LSC from large amounts of text. Our outputs will be used by the lexicographic R&D unit that compiles the Swedish Academy dictionaries, as well as by researchers from the humanities and social sciences that include textual analysis as a central methodological component. We are looking for a researcher with a phd in a relevant area (for example, language technology/natural language processing, computer science, complex systems, mathematics, linguistics with experience in computational methods, or informational sciences). The Change is Key! program and the Towards Computational Lexical Semantic Change Detection research project offer a vibrant research environment for this exciting and rapidly growing cutting-edge research field in NLP. There is a unique opportunity to contribute to the field of LSC, but also to humanities and social sciences through our active collaboration with international researchers in historical linguistics, analytical sociology, gender studies, conceptual history, and literary studies. Come join us! https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=26958 -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Wed Nov 9 07:47:10 2022 From: irina.illina at loria.fr (Irina Illina) Date: Wed, 9 Nov 2022 13:47:10 +0100 (CET) Subject: Connectionists: Post-doctoral and engineer positions at Loria (France) : Automatic speech recognition for non-natives speakers in a noisy environment In-Reply-To: <522882403.10847309.1667997929778.JavaMail.zimbra@loria.fr> References: <1847762572.10846716.1667997869456.JavaMail.zimbra@loria.fr> <522882403.10847309.1667997929778.JavaMail.zimbra@loria.fr> Message-ID: <1353687245.10848194.1667998030622.JavaMail.zimbra@loria.fr> Dear all, Please, could you post it on your lists? Thank you. Best regards, Irina Illina Automatic speech recognition for non-natives speakers in a noisy environment Post-doctoral and engineer positions Starting date: begin of 2023 Duration: 24 months for a post-doc position and 12 months for an engineer position Supervisors: Irina Illina, Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team, [ mailto:illina at loria.fr | illina at loria.fr ] Context When a person has their hands busy performing a task like driving a car or piloting an airplane, voice is a fast and efficient way to achieve interaction. In aeronautical communications, the English language is most often compulsory. Unfortunately, a large part of the pilots are not native English and speak with an accent dependent on their native language and are therefore influenced by the pronunciation mechanisms of this language. Inside an aircraft cockpit, non-native voice of the pilots and the surrounding noises are the most difficult challenges to overcome in order to have efficient automatic speech recognition (ASR). The problems of non-native speech are numerous: incorrect or approximate pronunciations, errors of agreement in gender and number, use of non-existent words, missing articles, grammatically incorrect sentences, etc. The acoustic environment adds a disturbing component to the speech signal. Much of the success of speech recognition relies on the ability to take into account different accents and ambient noises into the models used by ARP. Automatic speech recognition has made great progress thanks to the spectacular development of deep learning. In recent years, end-to-end automatic speech recognition, which directly optimizes the probability of the output character sequence based on the input acoustic characteristics, has made great progress [Chan et al., 2016; Baevski et al., 2020; Gulati, et al., 2020]. Objectives The recruited person will have to develop methodologies and tools to obtain high-performance non-native automatic speech recognition in the aeronautical context and more specifically in a (noisy) aircraft cockpit. This project will be based on an end-to-end automatic speech recognition system [Shi et al., 2021] using wav2vec 2.0 [Baevski et al., 2020]. This model is one of the most efficient of the current state of the art. This wav2vec 2.0 model enables self-supervised learning of representations from raw audio data (without transcription). How to apply: Interested candidates are encouraged to contact Irina Illina (illina at loria.fr) with the required documents (CV, transcripts, motivation letter, and recommendation letters). Requirements & skills: - M.Sc. or Ph.D. degree in speech/audio processing, computer vision, machine learning, or in a related field, - ability to work independently as well as in a team, - solid programming skills (Python, PyTorch), and deep learning knowledge, - good level of written and spoken English. References [Baevski et al., 2020] A. Baevski, H. Zhou, A. Mohamed, and M. Auli. Wav2vec 2.0: A framework for self-supervised learning of speech representations, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020. [Chan et al., 2016] W. Chan, N. Jaitly, Q. Le and O. Vinyals. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 4960-4964, 2016. [Chorowski et al., 2017] J. Chorowski, N. Jaitly. Towards better decoding and language model integration in sequence to sequence models. Interspeech, 2017. [Houlsby et al., 2019] N. Houlsby, A. Giurgiu, S. Jastrzebski, B. Morrone, Q. De Laroussilhe, A. Gesmundo, M. Attariyan, S. Gelly. Parameter-efficient transfer learning for NLP. International Conference on Machine Learning, PMLR, pp. 2790?2799, 2019. [Gulati et al., 2020] A. Gulati, J. Qin, C.-C. Chiu, N. Parmar, Y. Zhang, J. Yu, W. Han, S. Wang, Z. Zhang, Y. Wu, and R. Pang. Conformer: Convolution-augmented transformer for speech recognition. Interspeech, 2020. [Shi et al., 2021] X. Shi, F. Yu, Y. Lu, Y. Liang, Q. Feng, D. Wang, Y. Qian, and L. Xie. The accented english speech recognition challenge 2020: open datasets, tracks, baselines, results and methods. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6918?6922, 2021. -- Best regards, Irina Illina Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -- Best regards, Irina Illina Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -- Best regards, Irina Illina Associate Professor, HDR Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Fabrice.AUZANNEAU at cea.fr Wed Nov 9 08:17:18 2022 From: Fabrice.AUZANNEAU at cea.fr (AUZANNEAU Fabrice) Date: Wed, 9 Nov 2022 13:17:18 +0000 Subject: Connectionists: Open PhD position "Neural networks for improving speech understanding in real-time embedded systems" Message-ID: Neural networks for improving speech understanding in real-time embedded systems INFORMATION ABOUT THE POSITION * Position: PhD student * Project: Embedded Artificial Intelligence lab, CEA List * Location: France > Palaiseau (Paris region) * Research Field: Artificial Intelligence * Duration of Contract: 3 years * Starting date: November 2022 Contact Fabrice Auzanneau (fabrice.auzanneau at cea.fr) Rationale Worldwide, around 466 million people currently suffer from hearing loss. To remedy the loss of hearing sensitivity, portable hearing aids have been designed for almost a century. However, fifty percent of hearing impaired people who need hearing aids do not use them, mainly because of their poor efficiency in complex or noisy environments despite lengthy fitting sessions. In particular, people suffering from Auditory Neuropathy Spectrum Disorders (ANSDs, 1 to 10% of adults with hearing loss) enjoy little or no benefit from current hearing aids. Contrary to regular hearing losses, The ANSDs form a continuum of hearing impairments due to synaptic or neuronal dysfunction in the peripheral and central parts of the auditory pathways. ANSDs impair the processing of temporal information without necessarily affecting auditory sensitivity. This can have a particularly dramatic impact in scenarios where the speech of interest is present together with some background noise or with one or several concurrent speakers. Temporal cues are essential, not only for piecing together speech-related information in different frequency bands, but also for source separation in cocktail-party situations with spatially distributed, competing speech sources. Thus, the main need of ANSD subjects, shared with ageing subjects who experience central auditory-processing difficulties, is not to restore audibility but more to improve their speech perception by compensating for the deterioration of acoustic cues that rely on temporal precision. Conventional hearing aids mainly rely on sound amplification and focus on spectral enhancement to improve speech analysis, which is not suited here. This PhD fits within the scope of the ANR project "REFINED" involving the Laboratory of Embedded Artificial Intelligence in CEA List in Paris (https://list.cea.fr/) , the Multispeech research team In LORIA, Nancy (https://team.inria.fr/multispeech/), and the Hearing Institute in Paris (https://www.institut-audition.fr/). The project aims at studying new Deep Learning based methods to improve hearing acuity of ANSD patients. A cohort of ANSD volunteers will be tested to identify spectro-temporal auditory and extra-auditory cues correlated with the speech perception. Additionally, the benefits of neural networks will be studied. However, current artificial intelligence methods are too complex to be applied to processors with low computing and memory capacities: compression and optimization methods are needed. State of the art Neural networks for audition: Speech transmission degrades quickly in complex acoustic scenes composed of several sound sources and simultaneous speakers. Since the 70s, a large body of work has been dedicated to extract the speech of interest from a complex mixture or to separate each individual source composing the mixture, in part for the benefit of persons with hearing losses. Recent years have seen new approaches involving machine learning (a branch of artificial intelligence), in particular Deep Neural Networks. Current trends include using neural networks to estimate filters or target signals directly [1, 2] or time-frequency masks that are used in turn to compute standard filters [3, 4]. Despite improvements in the performances of speech enhancement and source separation algorithms, the recent tendency of end-to-end approaches (that work directly on the waveform instead of relying on pre-computed time-frequency representations) leads to models that are far too complex to be used in embedded devices like hearing aids. Indeed, the increased complexity of these speech enhancement algorithms [3] have adverse consequences on the real time performance of the hearing device, often preventing them from being implemented within the device. For instance, the latency that can exist between the movements of the speaker's lips and the sound reproduced by the hearing aid is a major source of discomfort for the user. Embedded AI: Implementing efficient real-time neural networks on constrained embedded systems with optimal accuracy requires rethinking the design, training, and deployment of models. A large body of literature has addressed these issues and efforts have been put on optimizing deep networks, mainly in two aspects: * Designing more efficient network architectures which maintain reasonable accuracy with relative smaller model size, such as MobileNet and SqueezeNet, * Reducing the network's size by means of compression or encoding. Two of the most studied compression solutions are pruning and quantization. Pruning removes redundant parameters or neurons that do not contribute significantly to the accuracy of the results [6]. Quantization refers to techniques for performing calculations and storing tensors at bit widths smaller than single-precision floating-point (32 bits). A quantized model performs some or all of the tensor operations with integers rather than floating-point values [7]. This allows for a more compact representation of the model and the use of high-performance vectorised operations on many hardware platforms. Innovation The goal of this PhD is to study the contribution of new attention-based models (such as transformers) to speech enhancement and to propose a systematic procedure to reduce the complexity of such algorithms sufficiently to allow for their embedding on portable devices while still meeting the quality estimation criterion defined through listening test with patients. The student will explore approaches such as transfer learning and knowledge distillation in order to reduce the model complexity while preserving the performance. He/she will also explore approaches enforcing sparsity in the models to facilitate effective pruning [6] and perform preliminary experiments based on quantization [7] to reduce overall model complexity. These latter approaches will introduce performance degradation. He/she will analyze the relation between complexity reduction and performance degradation in order to define complexity reduction approaches under signal / cues estimation performance. The thesis work aims at exploring new AI-based methods to improve the hearing of ANSD patients. It addresses three main points: * The use of AI for hearing is a fairly recent topic: this research addresses the study of various types of networks used in the state of the art, explore the relevance of new emerging networks such as Transformers based on the attention mechanism, and of transfer learning, * The application to the special case of ANSD, which is different from enhancement and source separation [5], will be taken into account, * In order to respect the constraints of an embedding design, such as low power, latency, small memory and computing size, this work will explore the relevance of different neural networks compression techniques such as quantization, knowledge distillation or other parameter reduction methods. Required skills The profile of the candidate is an engineer or a university graduate with a very good record. He/she should have good knowledge in computer science, in audio signal processing and electronics and experience in artificial intelligence. The candidate must master computer development (C/C++). Good oral and written skills in French and English. About the CEA and LIST The CEA (French Commission for Atomic and Renewable Energy) is a public research institute. It plays an important role in the research, development and innovation community. The CEA has four missions: security and defense, nuclear energy (fission and fusion), technology research for industry and fundamental research. With 16 000 employees, including technicians, engineers, researchers and support personnel, the CEA is involved in numerous research projects in collaboration with both academic and industrial partners. In the section of the CEA focused on technology research for industry, the LIST institute is focused on intelligent digital systems. This institute has a culture of innovation and has as a mission to transfer these technologies to industrial partners. The DSCIN department specializes in complex digital and embedded systems for Artificial Intelligence (AI), High-Performance Computing (HPC) and Cyber security applications. The focus of the LIAE laboratory is Embedded Artificial Intelligence, perception combined with multimodal sensors (including vision sensors). The lab is located in the Paris region (Palaiseau). References [1] Kolbaek, M. et al. Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks. IEEE/ACM Trans. Audio, Speech and Lang. Proc. 25, 1901-1913 (2017). [2] Luo, Y., Chen, Z., Mesgarani, N. & Yoshioka, T. End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation. arXiv:1910.14104 [cs, eess] (2020). [3] Furnon, N., Serizel, R., Illina, I. & Essid, S. Distributed speech separation in spatially unconstrained microphone arrays. in ICASSP 2021 - 46th International Conference on Acoustics, Speech, and Signal Processing (2021). [4] Heymann, J., Drude, L. & Haeb-Umbach, R. Neural network based spectral mask estimation for acoustic beamforming. in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 196-200 (2016). doi:10.1109/ICASSP.2016.7471664. [5] Berlin, C. I. et al. Multi-site diagnosis and management of 260 patients with auditory neuropathy/dys-synchrony (auditory neuropathy spectrum disorder). Int J Audiol 49, 30-43 (2010). [6] Blalock, D. et al. What is the State of Neural Network Pruning? Proceedings of Machine Learning and Systems 2020 (MLSys 2020) https://arxiv.org/abs/2003.03033 [7] Gholami, A. et al. A Survey of Quantization Methods for Efficient Neural Network Inference. https://arxiv.org/abs/2103.13630 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jean.martinet at univ-cotedazur.fr Wed Nov 9 09:29:41 2022 From: jean.martinet at univ-cotedazur.fr (Jean Martinet) Date: Wed, 9 Nov 2022 15:29:41 +0100 Subject: Connectionists: =?utf-8?q?PhD_position_in_Neuromorphic_Computer_V?= =?utf-8?q?ision_for_the_automotive_industry_at_Universit=C3=A9_C=C3=B4te_?= =?utf-8?q?d=27Azur_in_France?= Message-ID: <901D44AD-64D3-46D7-A282-E35010E447E3@univ-cotedazur.fr> Dear colleagues, We are hiring PhD candidate in Neuromorphic Computer Vision starting asap in the coming months at i3S lab, Sophia Antipolis, Universit? C?te d?Azur in France, in collaboration with IMRA Europe (subsidiary of Japanese automotive supplier AISIN SEIKI, belongs to the TOYOTA group). Candidates must hold a master?s degree in computer science, computer engineering, applied mathematics or a related field. Experience in image processing, computer vision, or machine learning is a plus. In addition, candidates should have the following skills: good proficiency in spoken and written English, scientific writing, and programming in Python/C++. Universite? Co?te d'Azur is a major research-intensive university in the south east of France, that is both rooted in its territory and internationally oriented. Universite? Co?te d'Azur directly employs around 3,000 staff and welcomes over 30,000 students each year. The i3S laboratory is the largest information and communication science laboratory in the French Riviera. It is composed of nearly 300 people with approximately 100 professors or associate professors, 20 CNRS researchers and 13 INRIA researchers, along with 20 technical and administrative staff. With kind regards, Jean- -- Prof. Jean Martinet Universit? C?te d'Azur / i3s / CNRS | Polytech Nice Sophia Campus SophiaTech, Sophia Antipolis EIT Digital Master School , Data Science Apprenticeship at Polytech Nice Sophia APROVIS3D CHIST-ERA ERA-NET Forum Numerica seminar series jean.martinet at univ-cotedazur.fr i3s.unice.fr/jmartinet +33.6.59.69.11.91 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: UCA.png Type: image/png Size: 19039 bytes Desc: not available URL: From rm.banerjee at gmail.com Wed Nov 9 09:22:19 2022 From: rm.banerjee at gmail.com (Romi Banerjee) Date: Wed, 9 Nov 2022 19:52:19 +0530 Subject: Connectionists: [Winter School] - 1. Algorithms for Graphs and Games & 2. Responsible AI - IIT Jodhpur In-Reply-To: References: Message-ID: Dear Colleagues, Greetings of the day! The Department of Computer Science and Engineering , in association with TIH iHub Drishti at IIT Jodhpur , is happy to announce "Winter School 2022" - a bouquet of two schools: - "Algorithms for Graphs and Games": https://cse.iitj.ac.in/index.php/events/winter-school/algorithms-graphs-games -- December 05-11, 2022; - "Responsible AI": https://cse.iitj.ac.in/index.php/events/winter-school/responsible-ai -- December 11-15, 2022, and - A common poster presentation session on -- December 11, 2022. The event will comprise: - Lectures by national and international experts from University of Bergen, Norway, Ben-Gurion University of the Negev, IIT Delhi, IMSc, Chennai, Google Research India, Microsoft Research, John Hopkins University, IBM India Research Laboratory, University of South Florida, IIT Jodhpur amongst others; - Hands-on training of fundamental and applied contemporary concepts from researchers and industry experts; - Ample opportunities to interact and network with peers and experts The schools promise to be of interest and benefit to students (UG, PG and Ph.D), faculty and professionals across industries. Details on the schedule, logistics, scholarships and registration processes can be found on the websites highlighted above... *All registered international participants may attend the school(s) online* You may also consider submitting abstracts for the poster presentation on December 11, 2022 (not compulsory for registration)... *The deadline for registration is: November 15, 2022* We look forward to your active participation and help in spreading word about the event? Please find brochures of the event attached... If you have any questions, please write to us @ office_cse at iitj.ac.in? We will get back to you as soon as we can.. Thank You and Warm Regards, Romi P.S. My sincerest apologies for multiple postings across listservs... Thank you for your patience :-)... __________________________________________________________ Romi Banerjee Assistant Professor, Department of Computer Science and Engineering, IIT Jodhpur Affiliate Faculty, Center for Brain Science and Applications - School of AI and Data Science, IIT Jodhpur Digital Curator, Society for the Neuroscience of Creativity Web: https://sites.google.com/site/romibitsnbob/home -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2.png Type: image/png Size: 1106511 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 3.png Type: image/png Size: 1219652 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 4.png Type: image/png Size: 1483141 bytes Desc: not available URL: From diego.perez at qmul.ac.uk Thu Nov 10 04:44:19 2022 From: diego.perez at qmul.ac.uk (Diego Perez Liebana) Date: Thu, 10 Nov 2022 09:44:19 +0000 Subject: Connectionists: AI Faculty Positions at QMUL Message-ID: Dear all, We have outstanding opportunities for faculty positions at QMUL - we're looking to recruit 30 new academic staff across all levels in strategically targeted science and engineering areas. Several of these could be in Game AI, we very much welcome applications from suitable candidates. https://www.qmul.ac.uk/strategic-hires-se/ Please note: December 4th deadline! Best wishes, Diego. --- Diego P?rez Li?bana Senior Lecturer in Computer Games and Artificial Intelligence Programme Director of the MSc Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London 67-75 New Road, E1 1HH, London, UK Office: Whitechapel Campus, Empire House (DERI), second floor. email: diego.perez at qmul.ac.uk web: http://www.diego-perez.net Email notices: 1) You may have seen that 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. [cid:44fb2d1f-4cd6-4108-921a-a8cf4ecb014d] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-kjbqjbqs.png Type: image/png Size: 12762 bytes Desc: Outlook-kjbqjbqs.png URL: From hafner at informatik.hu-berlin.de Thu Nov 10 04:48:19 2022 From: hafner at informatik.hu-berlin.de (Verena V. Hafner) Date: Thu, 10 Nov 2022 10:48:19 +0100 Subject: Connectionists: PostDoc position at HU Berlin in (Self)-Aware Robots for Tool Invention Message-ID: <95E0B7CD-5EE3-4F27-95F8-C1BC647A347D@informatik.hu-berlin.de> Dear colleagues, the Adaptive Systems Group at Humboldt-Universit?t zu Berlin is looking for a highly motivated PostDoctoral Research Fellow (Computer Science/Robotics/AI/ML) within the EU project METATOOL. For more details about the position and the application procedure please check the description below. Best wishes, Verena Hafner -- Prof. Dr. Verena V Hafner (she/her) Humboldt-Universit?t zu Berlin, Germany http://adapt.informatik.hu-berlin.de/ Postdoctoral Research Fellow (monthly salary equivalent to E13 TV-L HU, third party funding, ad interim until 2024-12-31, prolongation might be possible) The EU project METATOOL aims to provide a computational model of synthetic awareness to enhance adaptation and achieve tool invention. This will enable a robot to monitor and self-evaluate its performance, ground and reuse this information for adapting to new circumstances, and finally unlock the possibility of creating new tools. Under the predictive account of awareness, and based on both neuroscientific and archeological evidence, we will develop a novel computational model of metacognition based on predictive processing (metaprediction) and validate its utility in real robots in two use case scenarios: conditional sequential tasks and tool creation. At Humboldt-Universit?t zu Berlin, we will develop and investigate computational models for tool-use and tool invention based on predictive processing paradigms. The models will be evaluated and implemented in robots interacting with tools in a real physical environment. Job Description: Participation in the EU project METATOOL (A metapredictive model of synthetic awareness for enabling tool invention) Requirements: - completed PhD in Computer Science or related fields (Computational Neuroscience, Cognitive Sciences, Robotics, AI, Machine Learning). - prior knowledge in computational modelling / machine learning / developmental robotics - scientific track record - in-depth programming skills in Python - very good scientific writing and presentation skills - very good command of English (spoken and written) - ability to work in a team, communication and organisational skills - strong interest in developmental robotics and interdisciplinary research Please send your application (with cover letter, curriculum vitae, relevant certificates and contact details of two references), quoting the reference number DR/135/22, to: Humboldt-Universit?t zu Berlin, Faculty of Mathematics and Natural Sciences, Institute for Computer Science, Prof. Dr. Verena Hafner, Unter den Linden 6, 10099 Berlin, Germany or preferably by e-mail in a single PDF file to hafner at informatik.hu-berlin.de. HU Berlin seeks to increase the proportion of women in research and teaching, and specifically encourages qualified female researchers to apply. Applications are considered until November 24, 2022. Please visit our website (https://adapt.informatik.hu-berlin.de/news/news.html) for more information about the position and www.hu-berlin.de/stellenangebote for the legally binding German version. From Ulrich.Bodenhofer at fh-hagenberg.at Thu Nov 10 06:15:30 2022 From: Ulrich.Bodenhofer at fh-hagenberg.at (Bodenhofer Ulrich) Date: Thu, 10 Nov 2022 11:15:30 +0000 Subject: Connectionists: PhD Position in Human-Centered Artificial Intelligence (Hagenberg and Linz, Austria) Message-ID: Job Announcement for Fully-Funded Position as PhD Student Researcher On April 1, 2022, we started an exciting new research and training program for PhD students: Human-Centered Artificial Intelligence (HCAI). The HCAI program funds a total of five PhD student researchers for up to 4 years. Employment is for 30 hours/week, according to the regulations of the funding body, i.e., the Austrian Science Fund (FWF). Currently, there is still one position open: PhD 1 - Overcoming the Dichotomy of Deep Learning vs. Symbolic AI (see details in official job announcement; link below). To fill this open position, we are seeking a highly motivated student with a background in Artificial Intelligence / Machine Learning holding a Master's degree (or equivalent). The student will be employed at the University of Applied Sciences, Upper Austria (FH O?), Hagenberg Campus. The selected student will be given the unique opportunity to work on an exciting and timely topic, at the intersection of basic and applied research, thanks to the close collaboration between the project partners, Johannes Kepler University Linz (JKU) and FH O?. For more information, please visit: https://bit.ly/3Gf6t2e -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Spencer at uea.ac.uk Thu Nov 10 07:04:14 2022 From: J.Spencer at uea.ac.uk (John Spencer (PSY - Staff)) Date: Thu, 10 Nov 2022 12:04:14 +0000 Subject: Connectionists: Dynamic Friday Tutorial on Dec. 2nd... In-Reply-To: References: Message-ID: <86FFC264-4248-49E4-AA1A-2C423CEDD5C4@uea.ac.uk> Greetings, The next Dynamic Friday Tutorial on December 2nd will discuss the following paper: Bhat, A., Spencer, J.P. & Samuelson, L.K. (2021). Word-Object Learning via Visual Exploration in Space (WOLVES): A Neural Process Model of Cross-Situational Word Learning. Psychological Review, https://doi.org/10.1037/rev0000313. Details are on-line: https://dynamicfieldtheory.org/events/dynamic_friday_tutorials_dft/ You can register on our website if interested. Cheers, John Spencer John P. Spencer, PhD Professor Developmental Dynamics Lab https://www.facebook.com/DDPSYUEA https://ddlabs.uea.ac.uk School of Psychology, Room 0.09 Lawrence Stenhouse Building, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ United Kingdom Telephone 01603 593968 [/var/folders/jl/_9mpm6j92_9ckmg0q9qhs4986d96kt/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/cidimage002.jpg at 01D48BB4.171FA130][/var/folders/jl/_9mpm6j92_9ckmg0q9qhs4986d96kt/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/cidimage004.jpg at 01D48BB4.171FA130] UK 14th for Research Quality in Psychology, Psychiatry, and Neuroscience (Times Higher Education rankings for the Research Excellence Framework 2021) World Top 200 (Times Higher Education World University Rankings 2022) UK Top 30 (The Times/Sunday Times 2022 and Complete University Guide 2022) UK Top 20 for research quality (Times Higher Education Rankings for the Research Excellence Framework 2021) World Top 50 for research citations (Times Higher Education World University Rankings 2022) World Top 50 (Times Higher Education Impact Rankings 2022) Athena SWAN Silver Award Holder (since 2019) in recognition of advancement towards gender equality for all (Advance HE) Any personal data exchanged as part of this email conversation will be processed by the University in accordance with current UK data protection law and in line with the relevant UEA Privacy Notice. This email is confidential and may be privileged. If you are not the intended recipient please accept my apologies; please do not disclose, copy or distribute information in this email or take any action in reliance on its contents: to do so is strictly prohibited and may be unlawful. Please inform me that this message has gone astray before deleting it. Thank you for your co-operation. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 200 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 5593 bytes Desc: image002.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.jpg Type: image/jpeg Size: 2466 bytes Desc: image003.jpg URL: From T.Nowotny at sussex.ac.uk Thu Nov 10 14:23:48 2022 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Thu, 10 Nov 2022 19:23:48 +0000 Subject: Connectionists: Two postdoc positions in bio-inspired AI In-Reply-To: References: Message-ID: Dear Connectionists, We are looking for two post-doctoral research fellows to join our team working on bio-inspired AI and robotics at the University of Sussex which will suit people with a range of backgrounds (from robotics, through computational neuroscience to Artificial Life). Deadline 22nd November. You will develop novel active AI algorithms that are inspired by the rapid and robust learning of insects within the. ?1.2m EPSRC International Centre to Centre Collaboration project: ?ActiveAI: active learning and selective attention for rapid, robust and efficient AI.? and will work in collaboration with the University of Sheffield and world-leading neuroscientists in Australia. Detailed information and how to apply can be found here: https://www.sussex.ac.uk/about/jobs/research-fellow-in-bio-inspired-ai-rob-ref-10131 https://www.sussex.ac.uk/about/jobs/research-fellow-in-bio-inspired-ai-rob-ref-10128 Your primary role will be to develop a new class of ActiveAI controllers for problems in which insects excel but deep learning methods struggle. These problems have one or more of the following characteristics: (i) learning must occur rapidly, (ii) learning samples are few or costly, (iii) computational resources are limited, and (iv) the learning problem changes over time. Insects deal with such complex tasks robustly despite limited computational power because learning is an active process emerging from the interaction of evolved brains, bodies and behaviours. Through a virtuous cycle of modelling and experiments, you will develop insect-inspired models, in which behavioural strategies and specialised sensors actively structure sensory input while selective attention drives learning to the most salient information. The cycle of modelling and experiments will be achieved through field work in both Sussex and Australia. You will work under the supervision of Professors Andrew Philippides, Thomas Nowotny and Paul Graham within the Department of Informatics at Sussex and will join an active team of research fellows and PhD students working on similar topics at Sussex. Please contact Andrew Philippides (andrewop at sussex.ac.uk) for informal enquiries Kind regards, Thomas Nowotny -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge -------------- next part -------------- An HTML attachment was scrubbed... URL: From petersen.peter at gmail.com Thu Nov 10 11:52:23 2022 From: petersen.peter at gmail.com (Peter Petersen) Date: Thu, 10 Nov 2022 17:52:23 +0100 Subject: Connectionists: Ph.D. fellowship in Systems Neuroscience at University of Copenhagen Message-ID: We are offering a Ph.D. fellowship in Systems Neuroscience commencing on February 15, 2023, or as soon as possible hereafter. The research will take place at the Department of Neuroscience (in.ku.dk) at the University of Copenhagen in the lab of Dr. Peter C. Petersen (PetersenLab.org ). *Our group and research* Our lab was founded in 2022, with the goal to understand the neuronal mechanisms involved in memory and cognition and how imbalances in the circuits can lead to pathological conditions. In particular, we study spatial memory, and theta oscillations in behaving rats, and how the distributed populations of neurons across the distributed brain circuits central to memory, are coordinating their dynamics to generate complex cognitive functions in awake rodents. We are using state-of-the-art methods for measuring and manipulating the neuronal activity at large-scale and high specificity, together with advanced data analysis. This includes using Neuropixels and other high-density silicon probes, applying optogenetics, thermal and other perturbation techniques, dimensionality reduction, and advanced population-analysis methods. *Project description* We are seeking a highly motivated student for a project addressing the generation and functions of theta oscillations in spatial navigation using systems neuroscience and population-level approaches. The project involves performing electrophysiological recordings from freely moving animals using chronically implanted high-density Neuropixels silicon probes and applying optogenetics for single-cell tagging, and behavioral manipulations. *Application deadline: 22 November 2022, 23.59pm CET* *Learn more about the fellowship and the application process here*: https://employment.ku.dk/phd/?show=157798 Peter C. Petersen, *PhD* *Assistant Professor and Group Leader* *Department of Neuroscience* University of Copenhagen Blegdamsvej 3B, building 33.3.52. 2200 Copenhagen, Denmark Website: PetersenLab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From shmuhammad.csc at buk.edu.ng Thu Nov 10 15:44:22 2022 From: shmuhammad.csc at buk.edu.ng (Shamsuddeen Hassan Muhammad) Date: Thu, 10 Nov 2022 20:44:22 +0000 Subject: Connectionists: Call for Participation: SemEval-2023 Shared Task 12 - Sentiment Analysis for African Languages (AfriSenti-SemEval) References: Message-ID: <5b1855ce-c14a-492b-8e97-298ed17eeaea@Spark> Dear Colleagues, We are glad to invite you to participate in SemEval-2023 Shared Task 12, the first SemEval shared task for sentiment analysis targeting African low resource languages. The AfriSenti-SemEval Shared Task 12 is based on a collection of humanly annotated Twitter datasets in 16 African languages (all low resource) for sentiment classification. This year, we have three sub-tasks, from which the participants can choose one or more tasks depending on their preference. Task A: Monolingual Sentiment Classification Given training data in a target language, determine the polarity of a tweet in the target language (positive, negative, or neutral). If a tweet conveys both a positive and negative sentiment, whichever is the stronger sentiment should be chosen. This sub-task covers 15 languages namely, Hausa, Yoruba, Igbo, Nigerian_Pidgin, Amharic, Algerian Arabic, Kinyarwanda, Twi, Mozambican Portuguese, Swahili, Setswana, isiZulu, Moroccan Arabic/Darija, Xitsonga (South-African Dialect), Xitsonga (Mozambique Dialect) Task B: Multilingual Sentiment Classification Given a combined training data from 12 African languages, determine the polarity of a tweet in the target language (positive, negative, or neutral). Task C: Zero-Shot Sentiment Classification Given unlabeled tweets in two African languages (Oromo, and Tigrinya), leverage any or all of the available training datasets in Subtasks A and B to determine the sentiment of a tweet in the two target languages is positive, negative, or neutral. Helpful Links: Codalab competition page:?https://codalab.lisn.upsaclay.fr/competitions/7320 Task website:?https://afrisenti-semeval.github.io/ Prize: The afriSenti-SemEval competition has a prize and will be awarded to the best performing team in each of the three sub-tasks. -?African League: To encourage African participation, this league is for teams with at least one African . -?Masters and Undergraduate League:?This league is dedicated to masters and undergraduate students only . -?Worldwide League:?Be a participant from any country. Important Dates: - Training data ready - 11 September 2022 - Evaluation Starts - 10 January 2023 - Evaluation End - 31 January 2023 - System Description Paper Due - February 2023 - SemEval workshop Summer 2023 - (co-located with a major NLP conference) You can reach out to the organizers at?afrisenti-semeval-organizers at googlegroups.com Task organizers: - Shamsuddeen Hassan Muhammad (University of Porto, Portugal, Bayero University, Kano, MasakhaneNLP) - Seid Muhie Yimam ( Universit?t Hamburg, Hamburg; MasakhaneNLP) - Idris Abdulmumin ( Ahmadu Bello University Zaria, Masakhane NLP) - Ibrahim Sa?id Ahmad ( Bayero University, Kano) - Abinew Ali Ayele ( Bahir Dar University, Bahir Dar) - David Ifeoluwa Adelani ( Saarland University, MasaKhaneNLP) - Bello Shehu Bello (Bayero University, Kano) - Vukosi Marivate (University of Pretoria; MasaKhane) - Sebastian Ruder (Google Research ) - Saif M. Mohammad (National Research Council,Canada) - Nedjma Ousidhoum ( The University of Cambridge) - Meriem Beloucif (Uppsala University) - Tadesse Destaw Belay (Wollo University, Dessie) -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Sun Nov 13 17:04:15 2022 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Sun, 13 Nov 2022 23:04:15 +0100 Subject: Connectionists: Gary Marcus speaking on November 17 in Developing Minds global online lecture series Message-ID: <2A5674B7-E927-4B7F-8AE0-3BBD981A1EAD@fias.uni-frankfurt.de> Dear colleagues, On November 17, the Developing Minds global online lecture series will feature Gary Marcus: ?Towards a Foundation for AGI? https://sites.google.com/view/developing-minds-series/home The live event will take place via zoom at: 09:00 am PST (Pacific Standard Time) 17:00 UTC (Universal Coordinated Time) 18:00 CET (Central European Time) 02:00 am, Friday Nov. 18, JST (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract Large pretrained language models like GPT-3 and PaLM have generated enormous enthusiasm, and are capable of producing remarkably fluent language. But they have also been criticized on many grounds, and described as "stochastic parrots." Are they adequate as a basis for artificial general intelligence [AGI], and if not, what would a better foundation for general intelligence look like? Bio GARY MARCUS is a leading voice in artificial intelligence. He is a scientist, best-selling author, and serial entrepreneur (Founder of Robust.AI and Geometric.AI, acquired by Uber). He is well-known for his challenges to contemporary AI, anticipating many of the current limitations decades in advance, and for his research in human language development and cognitive neuroscience. An Emeritus Professor of Psychology and Neural Science at NYU, he is the author of five books, including, The Algebraic Mind, Kluge, The Birth of the Mind, and the New York Times Bestseller Guitar Zero. He has often contributed to The New Yorker, Wired, and The New York Times. His most recent book, Rebooting AI, with Ernest Davis, is one of Forbes?s 7 Must Read Books in AI. You can follow him at garymarcus.substack.com and on Twitter, @garymarcus. The talk will also be recored and the recording made available via the web page: https://sites.google.com/view/developing-minds-series/home Stay healthy, 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 david at irdta.eu Sat Nov 12 09:27:23 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 12 Nov 2022 15:27:23 +0100 (CET) Subject: Connectionists: DeepLearn 2023 Spring: early registration November 13 Message-ID: <1030796107.791923.1668263243300@webmail.strato.com> ****************************************************************** 9th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Spring Bari, Italy April 3-7, 2023 https://irdta.eu/deeplearn/2023sp/ *********** Co-organized by: Department of Computer Science University of Bari ?Aldo Moro? Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: November 13, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Spring 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? and Bournemouth. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting 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, bioinformatics, geographic information systems, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. 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. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. 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 2023 Spring 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 2023 Spring will take place in Bari, an important economic centre on the Adriatic Sea. The venue will be: University of Bari ?Aldo Moro? 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: (to be completed) Vipin Kumar (University of Minnesota), Knowledge Guided Deep Learning: A Framework for Accelerating Scientific Discovery William S. Noble (University of Washington), Deep Learning Applications in Mass Spectrometry Proteomics and Single-Cell Genomics PROFESSORS AND COURSES: (to be completed) Patrick Gallinari (Sorbonne University), [intermediate] Physics Aware Deep Learning for Modeling Dynamical Systems Sergei V. Gleyzer (University of Alabama), tba Jacob Goldberger (Bar-Ilan University), [introductory/intermediate] Latent Random Variables, Generative Models and Variational Autoencoders Yingbin Liang (Ohio State University), [intermediate/advanced] Bilevel Optimization and Applications in Deep Learning Xiaoming Liu (Michigan State University), [intermediate] Deep Learning for Trustworthy Biometrics Michael Mahoney (University of California Berkeley), tba Razvan Pascanu (DeepMind), [intermediate] Understanding Learning Dynamics in Deep Learning and Deep Reinforcement Learning Bhiksha Raj (Carnegie Mellon University), [introductory] An Introduction to Quantum Neural Networks [with Rita Singh and Daniel Justice] Bart ter Haar Romeny (Eindhoven University of Technology), [intermediate/advanced] Explainable AI from First Principles Martin Schultz (Research Centre J?lich), [introductory/intermediate] Deep Learning for Air Quality, Weather and Climate Adi Laurentiu Tarca (Wayne State University), [intermediate] Machine Learning for Cross-Sectional and Longitudinal Omics Studies Zhi Tian (George Mason University), [intermediate] Communication-Efficient and Robust Distributed Learning Michalis Vazirgiannis (Polytechnic Institute of Paris), [intermediate/advanced] Graph Machine Learning with GNNs and Applications Atlas Wang (University of Texas Austin), [intermediate] Sparse Neural Networks: From Practice to Theory Guo-Wei Wei (Michigan State University), [introductory/advanced] Discovering the Mechanisms of SARS-CoV-2 Evolution and Transmission Xiaowei Xu (University of Arkansas Little Rock), [intermediate/advanced] Deep Learning Language Models and Causal Inference 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 March 26, 2023. 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 March 26, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company 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 March 26, 2023. ORGANIZING COMMITTEE: Donato Malerba (Bari, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023sp/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. 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 courses 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 will be available in due time at https://irdta.eu/deeplearn/2023sp/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: University of Bari ?Aldo Moro? Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From zitao.jerry.liu at gmail.com Fri Nov 11 20:26:38 2022 From: zitao.jerry.liu at gmail.com (Zitao Liu) Date: Sat, 12 Nov 2022 09:26:38 +0800 Subject: Connectionists: Second Call for Papers - AI for Education@AAAI 2023 Message-ID: *The 4th International Workshop on AI for Education at AAAI 2023* ** Call for Papers ** - AAAI2023 The 4th International Workshop on AI for Education *http://ai4ed.cc/workshops/aaai2023* Technology has transformed over the last few years, turning from futuristic ideas into today?s reality. AI is one of these transformative technologies that is now achieving great successes in various real-world applications and making our life more convenient and safe. AI is now shaping the way businesses, governments, and educational institutions doing things and is making its way into classrooms, schools and districts across many countries. --------------------- *Workshop Description* --------------------- In this workshop, we invited AIED enthusiasts from all around the world through the following three different channels: First, we invited established researchers in the AIED community to give a broad talk that (1) describes a vision for bridging AIED communities; (2) summarizes a well-developed AIED research area; or (3) presents promising ideas and visions for new AIED research directions. Second, we called for regular workshop paper submissions and cross-submissions (papers that have appeared in or submitted to alternative venues) related to a broad range of AI domains for education. Third, we hosted a global challenge on Codalab for a fair comparison of state-of-the-art Knowledge Tracing models and invited technical reports from winning teams. --------------------- *Regular Workshop Paper Submission* --------------------- We invite high-quality paper submissions of theoretical and experimental nature on topics including, but not limited to, the following: l Emerging technologies in education l Evaluation of education technologies l Immersive learning and multimedia applications l Implications of big data in education l Self-adaptive learning l Individual and personalized education l Intelligent learning systems l Intelligent tutoring and monitoring systems l Automatic assessment in education l Automated grading of assignments l Automated feedback and recommendations l Big data analytics for education l Analysis of communities of learning l Computer-aided assessment l Course development techniques l Data analytics & big data in education l Mining and web mining in education l Learning tools experiences and cases of study l Social media in education l Smart education l Digital libraries for learning l education analytic approaches, methods, and tools l Knowledge management for learning l Learning analytics and educational data mining l Learning technology for lifelong learning l Tracking learning activities l Uses of multimedia for education l Wearable computing technology in e-learning l Smart classroom l Dropout prediction l Knowledge tracing The workshop solicits 4-7 pages double-blind paper submissions from participants. Submissions of the following flavors will be sought: (1) research ideas, (2) case studies (or deployed projects), (3) review papers, (4) best practice papers, and (5) lessons learned. The format is the standard double-column AAAI Proceedings Style. All submissions will be peer-reviewed. Some will be selected for spotlight talks, and some for the poster session. --------------------- *Cross-submissions* --------------------- In addition to previously unpublished work, we invite papers on relevant topics which have appeared in alternative venues (such as other ML or AIED conferences). Accepted cross-submissions will be presented as *15-min oral presentations*, with an indication of the original venue. Selection of cross-submissions will be determined solely by the organizing committee. There will be no regular paper reviews for cross submissions. --------------------- *Submission Website* --------------------- Submission website: https://easychair.org/conferences/?conf=aaai2023ai4edu. The submission AUTHOR KIT can be found at https://www.aaai.org/Publications/Templates/AnonymousSubmission23.zip. --------------------- *Global Knowledge Tracing Challenge* --------------------- In this competition, we would like to call for researchers and practitioners worldwide to investigate the opportunities of improving the student assessment performance via knowledge tracing approaches with rich side information. The details of this competition can be found at http://ai4ed.cc/competitions/aaai2023competition. --------------------- *Important Dates* --------------------- Nov 27, 2022: Workshop paper submission due AOE Dec 25, 2022 : Notifications of acceptance Jan 5, 2023: Deadline of the camera-ready final paper submission Feb 13 (or 14), 2023: Workshop Date --------------------- *Organizers* --------------------- Zitao Liu TAL Education Group, China Weiqi Luo Guangdong Institute of Smart Education, Jinan University, China Shaghayegh (Sherry) Sahebi University at Albany ? SUNY, USA Lu Yu Beijing Normal University, China Richard Tong IEEE AI Standard Committee & Squirrel AI Learning, USA Jiahao Chen TAL Education Group, China Qiongqiong Liu TAL Education Group, China Best Regards, The AI4EDU workshop organizing committees (Zitao Liu, Weiqi Luo, Shaghayegh Sahebi, Lu Yu, Richard Tong, Jiahao Chen, Qiongqiong Liu) Dr. Zitao Liu | http://www.zitaoliu.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Nov 14 02:43:51 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 14 Nov 2022 09:43:51 +0200 Subject: Connectionists: Live free e-Lecture by Prof. Ioannis Pitas "AI Science and Engineering, a new scientific discipline? Societal and environmental impact", Tuesday, 15th November 2022, 17:00-18:00 CET Message-ID: <03a101d8f7fc$d7a89ac0$86f9d040$@csd.auth.gr> Dear AI enthusiast/scientist/engineer/student, Prof. Ioannis Pitas, a prominent AI researcher internationally, will deliver the e-lecture: "AI Science and Engineering, a new scientific discipline? Societal and environmental impact" on Tuesday 15th November 2022 17:00-18:00 CEST (8:00-9:00 am PST), (12:00 am-1:00am CST). You can join for free without registration using the zoom link: https://authgr.zoom.us/j/94255772113 Passcode: 867064 Attendance is free. Lecture: "AI Science and Engineering, a new scientific discipline? Societal and environmental impact" Abstract: Is "AI Science and Engineering" an un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering? As Artificial Intelligence (AI) studies and research flourish worldwide, it is worth debating whether we already observe the birth of a new discipline in the exact sciences that goes beyond the classical specializations of Computer Science (CS) and Electrical/Computer Engineering (ECE). It is natural that AI and its various domains, notably Machine Learning, will share methods and curriculum with both CS and ECE. However, this is not really enough to move from our current Data/Information Society to a Knowledge Society. We certainly need a fusion of AI with brain and mind studies, notably Neuroscience, Cognitive Science and Psychology. Furthermore, AI has a huge impact on both our society and environment. We already observe strong AI applications in social engineering domains, e.g., on recommendation systems, on-line marketing, social media, meta-societies and fake news. It is natural that such applications will influence the AI Science and Engineering discipline itself. Furthermore, as humans consist of matter and live in a spatiotemporally evolving environment, life and environment studies, e.g., on matter complexity, can have a fundamental impact on both the understanding of life and human intelligence and on the development of AI. However, as students cannot be polymaths, are all the above issues too many to fit in one scientific discipline? Is there a danger that we sacrifice scientific depth to interdisciplinarity? Can we envisage other sister-disciplines, e.g., Mind and Social Science and Engineering and/or Bioscience and Engineering that can address students with interests and background in Liberal Arts and Sciences or Biology/Medicine/Health Sciences? No matter their exact form, AI Science and Engineering and its sister disciplines have many great challenges to address. Here is a partial list: * Is AI Science and Technology a scientific discipline in its own right? * How can we quantify knowledge? * Can Virtual Reality truly empower meta-societies or is it just a hype? * Can AI-powered human-centred computing surpass human intelligence? * Can we create self-conscious machines? * Can Mind and Social Engineering manipulate human behaviour and social functions? * How do social media facilitate disinformation? * What are the envisaged effects of AI and IT on our personal relations and sexual life? * How can we not only protect but also monetize our personal data? * Can AI help devising new political systems? * How are irrationalism, anti-elitism, and social media disinformation related? * Can new technologies ignite social revolutions? * Is life and intelligence due to matter complexity? * Can we patch parts of our brain? * Is climate controllable through Geoengineering? * Can humanity progress without resorting to energy-intensive technologies? As each of them needs an entire book to be properly addressed, this lecture will simply introduce few of these challenges for further discussion and debate. All the above issues are addressed in the new 1050+ page book "Artificial Intelligence Science and Society" consisting of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner: 1. "Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology" https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860 2. "Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans" https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860 3. "Artificial Intelligence Science and Society Part C: AI Science and Society" https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860 4. "Artificial Intelligence Science and Society Part D: AI Science and the Environment" https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860 About the Lecturer: This lecture and book are a result of a two-year effort by Prof. Ioannis. Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) and was influenced by his being principal investigator of 75+ R&D projects on Computer Vision, Machine Learning, Digital Media and chairing the International AI Doctoral Academy (AIDA). Prof. I. Pitas is Director of the Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. He was chair and initiator of the IEEE Autonomous Systems Initiative (ASI). He has (co-)authored 15 books, 45 book chapters and over 950 papers in the above topics. He has 34500+ citations to his work and h-index 87+. He is ranked 319 worldwide and first in Greece in the field of Computer Science (2022). This lecture is part of the SIG Icarus 'Digital days' lectures offered by the AIIA Computer Vision and Machine Learning ( AIIA.CVML) R&D group of the Artificial Intelligence and Information Analysis ( AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From contact at sscc.fr Mon Nov 14 04:53:42 2022 From: contact at sscc.fr (Samir Ouchani) Date: Mon, 14 Nov 2022 10:53:42 +0100 Subject: Connectionists: [Invitation] HDR Defense - Samir OUCHANI Message-ID: <373701d8f80f$04b0e790$0e12b6b0$@sscc.fr> Dear all, It is my pleasure to invite you to my Habilitation to Direct Research (HDR) defense on Friday, November 18 at 9:30 at the CESI Lyon campus. The HDR thesis is about "Secure and Reliable Smart Cyber-Physical Systems" with a focus on: . The underlying semantics of Smart CPS. . The security vs. reliability aspects in Smart CPS. . Advanced techniques for analyzing the security and reliability of Smart CPS. The HDR defense will be evaluated by the jury comprised of: . Prof Hanifa BOUCHENED, GIGL, Polytechnique Montreal. . Prof. Mohamed MOSBAH, LABRI, Uni. Bordeaux. . Prof. David DELAHAYE, LIRMM, Uni. Montpellier. . Prof. Parisa GHODOUS, LIRIS, Univ. Lyon 1. . Prof. Grabriele LENZINI, SnT, Univ. Luxembourg. . Prof. Kamel BARKAOUI, CEDRIC, CNAM. . Dr David BAUDRY, Directeur de Recherche CESI, LINEACT CESI, CESI. . Dr Yohan DUPUIS, Directeur de Recherche CESI, LINEACT CESI, CESI. You are cordially invited to attend my HDR defense on the following Teams link. Samir OUCHANI - HDR Defense ID: 356 606 997 178 Code secret : 72bSVd Sincerely yours, Dr. Samir OUCHANI Enseignant Chercheur CESI Lineact, Aix-en-Provence -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.zock at lis-lab.fr Mon Nov 14 06:01:24 2022 From: michael.zock at lis-lab.fr (Michael Zock) Date: Mon, 14 Nov 2022 12:01:24 +0100 Subject: Connectionists: cfp 'Neurocomputational models of language processing' Message-ID: <8e246186-a0af-dd07-d03b-2e2f3c455a98@lis-lab.fr> Dear colleagues, could you please be so kind and disseminate the call for papers for the following research topic : *Neurocomputational models of language processing*** https://www.frontiersin.org/research-topics/49147/neurocomputational-models-of-language-processing Markus J. Hofmann (General and Biological Psychology?, University of Wuppertal, Germany) Harm Brouwer (Psycholinguistics, Language Science and Technology, Saarland University, Germany) Ya-Nin Chang, MRC Cognition and Brain Sciences, University of Cambridge, UK) Michael Zock (CNRS, AMU, LIS-lab, Marseille, France) Keywords: Neurocomputational Models, Language Processing, Human Neuroscience, Speech and Language, Behavioural Data, Neuroimaging Data, Language Production and Comprehension, Machine Learning, Deep Learning Abstract Submission Deadline : 15 March 2023 Manuscript Submission Deadline 15 November 2023 Our ability to produce and understand language involves a complex, dynamic interaction between different types of knowledge, involving orthographic, phonological, semantic, syntactic, and pragmatic representations, as well as knowledge of the world. Moreover, given that discourse rapidly unfolds at the rate of several words per second, these representations need to be activated, retrieved and/or computed in real time. Informed by behavioral and neuroimaging data, explicit neurocomputational models of language processing seek to offer mechanistic explanations of the representations and computations that underlie online language production and comprehension. Neural models from the field of machine learning and particularly deep learning are only the most recent developments in this field. Localist and distributed connectionist models, advanced measurement models like diffusion models, and expert systems are alternative formal approaches able to capture various aspects of language processing. Finally, probabilistic language models as well as corpus-based approaches are powerful computational techniques, which, taken together, may enhance our understanding of language in terms of how it is represented and processed in the human brain. In this Research Topic, we invite submissions that combine such neurocomputational models of language processing with human neuroimaging and behavioral data. The manuscripts can be submitted to Frontiers in Human Neuroscience and may contain sophisticated neural simulations of specific aspects of language processing. These submissions can either deepen our understanding of unimpaired language processing or shed light on language disorders or developmental aspects of language. Alternatively, the papers can be submitted to Frontiers in Artificial Intelligence and thus may highlight the state-of-the-art in natural language processing (NLP). Given this broad spectrum, topics may range from models that seek to explain electrophysiological and functional imaging data to neurally inspired computational models explaining eye-tracking eye-tracking or reading time data. With this special issue, we hope to provide a comprehensive overview of the latest developments in the neurocomputational modelling of human language production and comprehension. -- Michael ZOCK Emeritus Research Director CNRS LIS UMR 7020 (Group TALEP) Aix Marseille Universit? 163 avenue de Luminy - case 901 13288 Marseille / France Mail: michael.zock at lis-lab.fr Tel.:??? +33 (0)6 51.70.97.22 Secr.:? +33 (0)4.86.09.04.60 http://pageperso.lif.univ-mrs.fr/~michael.zock/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Mon Nov 14 08:41:54 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Mon, 14 Nov 2022 19:11:54 +0530 Subject: Connectionists: 5 days IEEE Computational Intelligence Society (CIS) Summer School on "Deep Learning and Computational Intelligence: Theory and Applications" during December 12-16, 2022. Message-ID: Dear All, I am delighted to inform you that IIT Indore is organizing a 5 days IEEE Computational Intelligence Society (CIS) Summer School on "Deep Learning and Computational Intelligence: Theory and Applications" during December 12-16, 2022. Details of the IEEE CIS Summer School are available at http://events.iiti.ac.in/ieee-cis-summer-school-2022/ The objective of this summer school is to provide a unique platform for young researchers, professionals, and students from all around the world in the recent developments and applicability of deep learning (DL) with computational intelligence (CI). The school will bring people working in CI and DL domains to a common platform for generating innovative ideas. The school will also assess the state of the art on what new directions lie open for research in the areas of CI and DL. In this way, the school will generate exciting new communication across various CI, DL and machine learning disciplines. This summer school features a number of distinguished speakers on DL and CI which will be helpful for researchers and participants. I hereby request you to join IEEE CIS Summer School and give wide publicity among your colleagues/research scholars and PG students and encourage them to participate in this program and get benefited. Kindly note the following important deadlines: Early Bird Registration: November 02-25, 2022 Opening Ceremony: December 12, 2022 Closing Ceremony: December 16, 2022 Some of the eminent speakers are: Juergen Schmidhuber, Director, KAUST AI Initiative [Homepage] [Google Scholar] PN Suganthan, Qatar University and NTU Singapore [Homepage] [Google Scholar] Johan Suykens, KU Leuven [Homepage] [Google Scholar] CV Jawahar, IIIT Hyderabad [Homepage] [Google Scholar] Kai Qin, Swinburne University of Technology, Australia [Homepage] [Google Scholar] Complete list of speakers are available at http://events.iiti.ac.in/ieee-cis-summer-school-2022/main/speaker Thanks and best regards, General Chair ? IEEE CIS Summer School 2022 ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022, IEEE CIS SS 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE TNNLS (IF: 14.25). Action Editor: Neural Networks, Elsevier (IF: 9.65). Associate Editor: Pattern Recognition, Elsevier (IF: 8.52). Editorial Board: Applied Soft Computing, Elsevier (IF: 8.26). Board of Editors: Engineering Applications of AI, Elsevier (IF: 7.80). Associate Editor: Neurocomputing, Elsevier (IF: 5.78). Associate Editor: Cognitive Computation, Springer (IF: 4.89). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.37). -------------- next part -------------- An HTML attachment was scrubbed... URL: From xiao at gmu.edu Mon Nov 14 15:16:17 2022 From: xiao at gmu.edu (Xuesu Xiao) Date: Mon, 14 Nov 2022 20:16:17 +0000 Subject: Connectionists: [jobs] Last Call: Fully funded robotics Ph.D. positions in Fall 2023 at George Mason University Message-ID: Last call for applications. Deadline December 1 2022 for Fall 2023 start. The RobotiXX lab at the Department of Computer Science, George Mason University in the Washington, D.C. area (https://www2.gmu.edu/), is looking for self-motivated Ph.D. students in the area of robotics starting Fall 2023. The candidate will be supported with full tuition and stipends. At RobotiXX lab, we perform robotics research at the intersection of motion planning and machine learning, with a specific focus on deployable field robotics. Any candidate with relevant experience in robotics, motion planning, and machine learning is encouraged to apply. Hands-on knowledge in robotics hardware, field experience, and a good publication record is strongly preferred. The selected candidates will conduct independent research to develop highly capable and intelligent mobile robots that are robustly deployable in the real world with minimal human supervision, and publish papers in top-tier robotics conferences and journals. To apply, please visit George Mason University's admission website (https://www2.gmu.edu/admissions-aid) and send a single PDF of the following documents to Dr. Xuesu Xiao, Assistant Professor (xiao at gmu.edu): 1. cover letter, 2. curriculum vitae, 3. transcript, 4. three references, 5. relevant publications, 6. other relevant materials, with the subject line ?[jobs] YOUR AFFILIATION - YOUR NAME?. For more information, please see the lab?s website (https://cs.gmu.edu/~xiao/RobotiXX/lab.html), research statement (https://cs.gmu.edu/~xiao/xuesu_website_files/Research_Statement.pdf), and YouTube Channel (https://www.youtube.com/channel/UCCePdJzWg35eml4WRGkX3GQ/videos). Thanks Xuesu Xiao ----------------------- Xuesu Xiao, Ph.D. -- Assistant Professor Department of Computer Science George Mason University xiao at gmu.edu https://cs.gmu.edu/~xiao/ -- Roboticist Everyday Robots xuesuxiao at google.com https://everydayrobots.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksande25 at jhu.edu Mon Nov 14 12:35:49 2022 From: ksande25 at jhu.edu (Kate Sanders) Date: Mon, 14 Nov 2022 17:35:49 +0000 Subject: Connectionists: PhD application support program & AMA Message-ID: Hello, This year, the Center for Language and Speech Processing at Johns Hopkins University is hosting a student-run application support program for underrepresented students in computer science and electrical engineering, as well as an Admissions AMA. Applicants will receive a one-time review of their application materials (statements and CV) from a student volunteer. Participation in this program is separate from admissions and will not affect admissions. Applications are reviewed on a rolling basis until full. Please sign up here by November 20th to participate in this program. Participants will receive written feedback on their materials within a week. Additionally, Mark Dredze, associate professor of CS in CLSP, will be hosting an Ask Me Anything session on Zoom on November 15th at 9:30 pm EST. All are invited to join and ask questions about admissions, CLSP and JHU. Please pre-register for this session here to receive a zoom link. Feel free to contact nverma7 at jhu.edu with any questions about our programs. Thanks! Kate Sanders -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Mon Nov 14 19:58:05 2022 From: jkrichma at uci.edu (Jeffrey L Krichmar) Date: Mon, 14 Nov 2022 16:58:05 -0800 Subject: Connectionists: Assistant Professor position in Cognitive Sciences at UC Irvine Message-ID: <85653114-89BF-4840-B41F-0ABC86BC467A@uci.edu> Dear Connectionists, The Department of Cognitive Sciences at the University of California, Irvine (UCI) invites applications for an assistant professor (tenure-track) position with an anticipated start date of July 1, 2023. We are seeking scientists who study human vision, with a particular interest in those who combine an empirical research program with innovative approaches in neuroscience and/or cutting-edge computational tools such as machine learning and AI. The successful candidate will establish a vital research program, and contribute to teaching, mentoring, and to inclusive excellence. They will interact with a dynamic and growing community in cognitive, computational, and neural sciences within the department (http://www.cogsci.uci.edu/) and the broader campus. Applicants should submit a cover letter, curriculum vitae, research and teaching statements, a statement describing past or potential contributions to diversity, equity, and inclusion, three recent or relevant publications, and the names and contact information of three references. The application requirements along with the online application can be found at: https://recruit.ap.uci.edu/JPF07912. To ensure full consideration, applications must be completed by December 15, 2022. Institutional Reference Check: The University of California is committed to creating and maintaining a community dedicated to the advancement, application, and transmission of knowledge and creative endeavors through academic excellence; where all individuals who participate in University programs and activities can work and learn together in a safe and secure environment, free of violence, harassment, discrimination, exploitation, or intimidation. In support of this commitment, and as a means to address all forms of academic misconduct, UC Irvine will conduct an institutional reference check on recruitment finalists of Senate Ladder-Rank Professor and Professor of Teaching series, at all ranks (i.e., assistant, associate, full), prior to extending a formal offer of appointment. Applications submitted via AP Recruit must include a signed copy of the Authorization to Release Information Form for consideration. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. 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 From thomas_serre at brown.edu Mon Nov 14 20:03:00 2022 From: thomas_serre at brown.edu (Thomas Serre) Date: Tue, 15 Nov 2022 01:03:00 +0000 Subject: Connectionists: Tenure-track Assistant Professor in Computational Brain Science at Brown Message-ID: The Robert J. and Nancy D. Carney Institute for Brain Science ( https://www.brown.edu/carney/ ) at Brown University invites applications from rising and established leaders in computational brain science for a tenure-track position at the Assistant Professor level. A transformative $100M gift to the Institute is catalyzing the growth and expansion of Carney faculty and research over the next decade, including to further research goals of the Center for Computational Brain Science ( https://ccbs.carney.brown.edu/ ). As part of this expansion, this search will consider applicants with expertise in computational neuroscience broadly construed and will result in an appointment with a tenure-track home in a Carney Institute-affiliated department (including physics, applied mathematics, computer science, neuroscience, and cognitive, linguistic and psychological sciences). The successful applicant will have an outstanding record of research and teaching that contributes to the mission of the candidate?s appropriate home department and the Carney Institute Center for Computational Brain Science. We are particularly interested in scholars who demonstrate commitment to promoting diversity and inclusion in the brain sciences. The Carney Institute promotes discovery and innovation in brain science by supporting a diverse community of experimentalists, theorists, engineers, and clinicians. With more than 180 affiliated faculty members in more than 20 academic and clinical units, the Carney Institute catalyzes research across the brain sciences, including in the neurobiology of cells and circuits, computational brain science, cognition and behavior, and neuroengineering and neurotechnology. We are a highly interactive community that values collaborative approaches to tackle major questions in brain science to benefit society. Quality of research and scholarship is central to reaching our goals and this depends on engaging talented scientists from across academia and embracing their contributions in a fully inclusive community. The Carney Institute?s strategic vision is aligned with Brown?s commitment to creating a more fully diverse and inclusive community, outlined in ?Pathways to Diversity and Inclusion: An Action Plan for Brown University ( https://www.brown.edu/about/administration/institutional-diversity/pathways ).? *Qualifications* Applicants must have a Ph.D. at the time of starting work. The start date can be anytime between July 1, 2023 , and January 1, 2024. *Application Instructions* All candidates should submit: (1) a teaching statement; (2) a research statement; (3) a diversity and inclusion statement; (4) a curriculum vitae; (5) up to 5 publications; and (6) a cover letter describing their interest in the position (including the general field of research and potential departments of interest); (7) at least three letters of reference submitted before the application deadline. Letters of support should speak to the candidate?s potential as a scholar, colleague, mentor, and teacher. Inquiries about the position should be directed to carney-institute at brown.edu. Full consideration will be given to applications received by December 15, 2022 ; we will continue to accept applications until the position is filled. Brown is an equal opportunity/affirmative action employer, and members of underrepresented groups in brain science are strongly encouraged to apply. Apply at http://apply.interfolio.com/115307. *Equal Employment Opportunity Statement* Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status. --T -------------------------------------------------------------------------------------------- Thomas Serre | Brown University | Carney Institute for Brain Science Professor, Cognitive Linguistic & Psych. Sciences and Computer Science Faculty Director, Center for Computation & Visualization Associate Director, Center for Computational Brain Science ANR-3IA Artificial and Natural Intelligence Toulouse Institute T: +1 401-484-0750 | Hangout: tserre | Skype: thomas.serre | serre-lab.clps.brown.edu ( http://serre-lab.clps.brown.edu ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Tue Nov 15 05:26:22 2022 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Tue, 15 Nov 2022 12:26:22 +0200 Subject: Connectionists: Call-for-workshop-proposals: ACM ICMR 2023 Message-ID: [Apologies for multiple postings] ACM International Conference on Multimedia Retrieval 2023 Thessaloniki, Greece, 12-15 June 2023 https://icmr2023.org/ *** Call for Workshop Proposals *** The ACM International Conference on Multimedia Retrieval in 2023 (ICMR 2023) is calling for high quality Workshops addressing innovative research in multimedia retrieval and its related broad fields. The scope of the conference is not limited to search and retrieval of multimedia data but also addresses analysis and understanding of multimedia contents, including: - Integration of diverse multimodal data. - Deep learning-based methodology and practical multimedia applications. - Multimedia dataset creation and management (and compliance with ethical practices). - Interpretability of multimedia analysis and retrieval techniques and connection with social sciences. - Exploring bias in multimedia datasets. - Practical systems/applications of multimedia analysis and retrieval on different areas, e.g., media & entertainment, culture, health, security, etc. - Multimedia analysis and retrieval aiming to solve major societal challenges (e.g., disinformation, climate change, social inequalities etc.). - Legal/ethical challenges and societal impact of multimedia analysis and retrieval. - Community-contributed social data. - Lifelogging data and automatically generated sensor data. The Workshops will contain both: - Long research papers which should present complete work with evaluations on topics related to the Conference. They will have both oral and poster presentations at the conference. - Short research papers which should present preliminary results or more focused contributions. They will be presented as posters at the conference. *** Important Dates *** Submit your workshop proposal until December 15, 2022. *** Submission Instructions *** Please, download the Workshop Proposal template from the conference website. Please, send your proposal as a pdf file to the Workshops Chairs at icmr2023-workshops at iti.gr. *** Contact *** For any question regarding submissions for workshop proposals, please visit the conference website or email the Workshops Chairs (icmr2023-workshops at iti.gr). *** Workshops Chairs *** Dr. Ichiro Ide (Nagoya University) Prof. Lucile Sassatelli (Universit? C?te d?Azur) Prof. Ioannis (Yiannis) Patras (Queen Mary University of London) Dr. Filareti Tsalakanidou (Centre for Research and Technology Hellas) On behalf of the organizers, Bogdan Ionescu https://www.aimultimedialab.ro/ From xhx at ics.uci.edu Tue Nov 15 11:37:04 2022 From: xhx at ics.uci.edu (Xiaohui Xie) Date: Tue, 15 Nov 2022 08:37:04 -0800 Subject: Connectionists: Faculty Position in Bioinformatics at UC Irvine Message-ID: The Department of Computer Science at the University of California, Irvine (CS at UCI) invites applicants for a tenure-track/tenured faculty position at the assistant, associate, or full rank starting July 1, 2023. This faculty search targets applicants with research background in bioinformatics, broadly defined to be in the general area of applying computational and/or machine learning methods to study biology and/or medicine. https://recruit.ap.uci.edu/JPF07856 The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. -- Xiaohui Xie Professor Department of Computer Science School of Information and Computer Science University of California, Irvine Phone: 949-824-9289 http://www.ics.uci.edu/~xhx From dleeds at fordham.edu Tue Nov 15 11:48:04 2022 From: dleeds at fordham.edu (Daniel Leeds) Date: Tue, 15 Nov 2022 11:48:04 -0500 Subject: Connectionists: Faculty Positions in Computer Science and Computational Neuroscience at Fordham University Message-ID: The Department of Computer and Information Sciences at Fordham University invites applications for 1) a tenure track Assistant Professor position in computational neuroscience, neuro-informatics, and related fields and 2) a tenure track Assistant Professor position in systems, software engineering, cybersecurity and networks to start in Fall 2023. The positions require a Ph.D. in Computer Science, or Computational Neuroscience, Informatics and related field, a commitment to teaching excellence, good communication skills, and demonstrated research potential with the ability to attract external research funding. Applicants for the computational neuroscience position are expected to be actively engaged in both neuroscience and data science. The salary range for both positions is $118,000-$135,000. For the position in computational neuroscience/neuro-informatics, apply at: https://apply.interfolio.com/38910 and contact Dr. Daniel Leeds ( dleeds at fordham.edu) for inquiries. For the position in systems/software engineering, apply at: http://apply.interfolio.com/117210, and contact Dr. Damian Lyons dlyons at fordham.edu for inquiries. Applications will be accepted until the positions are filled, however, for full consideration, it is recommended to complete your application by Dec 8 for the position in computational neuroscience and neuro-informatics areas and by Jan 15, 2023 for the position in systems, software engineering, cybersecurity and networks areas. Applications can be submitted electronically to Interfolio Scholar Services through the following links. The following are required: (1) Cover letter with qualifications, (2) Curriculum vitae, (3) Research Statement, (4) Teaching Statement (5) Sample scholarship, and (6) At least three letters of recommendation. The Department of Computer and Information Science at Fordham University offers undergraduate, masters, and doctoral programs in computer science and related fields in the Bronx and Manhattan campuses. The department actively participates in joint instruction and research through the interdisciplinary integrative neuroscience program, in collaboration with Biology, Natural Sciences, and Psychology departments. For information about the department, visit http://www.cis.fordham.edu. Fordham University is proud to be one of only 13 institutions specifically designated in Ambassador Luce?s bequest to receive funding in perpetuity to support women in STEM; this support includes opportunities for Fordham students as well as funding for a Clare Boothe Luce Professorship. The finalist for this faculty position may also be eligible for further consideration for a Clare Boothe Luce Professorship for beginning tenure-track faculty. Fordham is an independent, Catholic University in the Jesuit tradition committed to excellence through diversity. Fordham is an equal opportunity employer, and we especially encourage women, people of color, veterans and people with disabilities to apply. -------------- next part -------------- An HTML attachment was scrubbed... URL: From zk240 at cam.ac.uk Tue Nov 15 21:56:44 2022 From: zk240 at cam.ac.uk (Zoe Kourtzi) Date: Wed, 16 Nov 2022 02:56:44 +0000 Subject: Connectionists: Postdoc position on Neurocognition and Neurocomputation In-Reply-To: <909CAF92-27C3-4DAA-B8BA-44E9CFB9FB7C@cam.ac.uk> References: <909CAF92-27C3-4DAA-B8BA-44E9CFB9FB7C@cam.ac.uk> Message-ID: <3653C2FB-A062-40A3-9B61-FE1C80C285B4@cam.ac.uk> A post-doctoral position is available at the Adaptive Brain Lab (Univ of Cambridge; http://www.abg.psychol.cam.ac.uk), University of Cambridge, UK. The work focuses on understanding networks dynamics for learning and brain plasticity combining multimodal imaging (7T fMRI, MR Spectroscopy, EEG, tDCS), and neurocomputational approaches (machine learning, reinforcement learning). For further information and how to apply: https://www.jobs.cam.ac.uk/job/38045/ Application deadline: 7th December 2022 For Informal enquiries please contact Prof Zoe Kourtzi (zk240 at cam.ac.uk) with CV and brief statement of background skills and research interests. From malini.vinita.samarasinghe at ini.rub.de Wed Nov 16 03:24:18 2022 From: malini.vinita.samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Wed, 16 Nov 2022 09:24:18 +0100 Subject: Connectionists: GEM 2023 - Call for Abstracts Message-ID: The DFG-funded research consortium ?FOR 2812 ? Constructing scenarios of the past? https://for2812.rub.de is proud to announce a call for abstracts for its biennial conference *GEM 2023* (Generative Episodic Memory: Interdisciplinary perspectives from neuroscience, psychology and philosophy), which will be held *in person*at the Ruhr University Bochum, Germany from 12^th to 14^th June 2023. For more information on the conference please visit https://for2812.rub.de/gem2023. We invite submissions for symposia, talks and posters. *Please note that all presentations are in person.* Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is ? at least to a certain degree ? constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary conference therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. *Abstract* submission deadlines [GMT +1 (CET)]: Abstract submission ? 15.03.2023 Notification of acceptance ? 15.04.2023 Submission guidelines: Abstracts mustbe submitted in English and be no longer than 500 words.Submitted work must be original and unpublished andsubmitted electronically athttps://www.conftool.net/gem2023/. Types of submissions: * Talks * Symposia: In addition to submitting individual talks there is also the option to submit a set of talks (henceforth called symposium). Symposiamust be interdisciplinary in nature, i.e., they must contain talks from at least two of the following disciplines: computational neuroscience, philosophy, psychology, neuroscience, and must comprise 3 talks. Please note that if one or more of the talks that make up the symposium are rejected the remainingtalks are not automatically rejected. They will be scheduled into the general program by the program committee. * Posters Please ensure that your files are in PDF format and are no larger than 10 MB. We look forward to welcoming you in Bochum. Vinita Samarasinghe Coordinator -- Coordination Office For 2812 "Constructing scenarios of the past: A new framework in episodic memory" https://for2812.rub.de 25.11.2022 - Colloquium - Olaf Blanke 09.12.2022 - Colloquium - Kristina Liefke 13.01.2023 - Colloquium - Caswell Barry Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/73 Postfachnummer 110 Universit?tstr. 150 44801 Bochum Tel: +49 (0)234 32 27996 Email: for2812 at rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From valizadeh at gmail.com Wed Nov 16 05:52:58 2022 From: valizadeh at gmail.com (alireza valizadeh) Date: Wed, 16 Nov 2022 14:22:58 +0330 Subject: Connectionists: Fwd: Call for papers, Scientific Reports special issue: Biological modularity In-Reply-To: References: Message-ID: Dear connectionists, Sientific reports accepts papers for the collection "Biological Modularity". Please see below. https://www.nature.com/collections/bedecebdgf/how-to-submit Collection Biological modularity Submission statusOpen Submission deadline08 March 2023 Modularity has become a central concept in biological sciences, stemming from the notion that biological systems can be conceptualised as intricate networks, which in turn are often divided into sets of strongly interacting parts that are relatively autonomous with respect to each other. Modularity has strong evolutionary implications, and has been applied at various scales, from gene regulation and cell metabolism, to organism development, morphogenesis and functional anatomy, to neural circuits and behaviour, and species? or whole community interactions. This Collection will bring together original research advancing our understanding of modularity, as well as its application in various biological fields, including multidisciplinary studies. --------------------------------------------------------------------- Alireza Valizadeh Professor Neurophysics lab, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran Tel:(+98) 24 3315 2120 Fax:(+98) 24 3315 2104 valizade at iasbs.ac.ir Web: http://www.iasbs.ac.ir/~valizade/index.html -------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From stevensequeira92 at hotmail.com Wed Nov 16 09:41:10 2022 From: stevensequeira92 at hotmail.com (steven gouveia) Date: Wed, 16 Nov 2022 14:41:10 +0000 Subject: Connectionists: [Call for Abstracts] - 4th Int. Conf. Phil. Mind: 4E's Approach to the Mind/Brain In-Reply-To: References: Message-ID: Dear Colleagues, The Call for Abstracts for the 4th International Conference on Philosophy of Mind: 4E's Approach to the Mind/Brain, taking place from 6 to 8 March 2023, at the Faculty of Philosophy and Social Sciences of the Portuguese Catholic University (Braga, Portugal), is officially open. The Conference will have 4 Keynote Speakers: - Shaun Gallagher (Memphis Uni. | USA) - Karl Friston (Uni. College London | UK) - Peter G?rdenfors (L?nd Uni. | SW) - Dirk Geeraerts (Leuven Uni. | BL) An extended abstract of approximately 250-500 words should be prepared for blind review and include a cover page with full name, institution, contact information, and short bio. Files should be submitted in doc(x) word. Please indicate in the subject of the message the following structure: ?4th Inter. Conf. First Name Last Name ? title of abstract.? All info related to the conference can be found here: https://4confphilmind.weebly.com/ [https://4confphilmind.weebly.com/uploads/7/8/8/2/78826992/unv-catolica-2_orig.png] 4th International Conference | Philosophy of Mind 4th International Conference | Philosophy of Mind 4confphilmind.weebly.com I hope you can join us for this conference in Braga, Portugal. Steven -------------- next part -------------- An HTML attachment was scrubbed... URL: From EPNSugan at ntu.edu.sg Wed Nov 16 09:19:14 2022 From: EPNSugan at ntu.edu.sg (Ponnuthurai Nagaratnam Suganthan) Date: Wed, 16 Nov 2022 14:19:14 +0000 Subject: Connectionists: Research Asst. Prof. Faculty Opening at Qatar University (deadline: 1st Dec 2022) Message-ID: Job Title: Research Assistant Professor - Artificial Intelligence Job Summary: The KINDI Center for Computing Research at the College of Engineering in Qatar University is seeking high-caliber candidates for a research faculty position at the level of assistant professor in the area of artificial intelligence (AI). The applicant should possess a Ph.D. degree in Computer Science or Computer Engineering or related fields from an internationally recognized university and should demonstrate an outstanding research record in AI and related subareas (e.g., machine/deep learning (ML/DL), computer vision, robotics, natural language processing, etc.) and fields (e.g., data science, big data analytics, etc.). Candidates with good hands-on experience are preferred. The position is available immediately. To receive full consideration, applicants are urged to submit their applications before the 1st of December. You may contact KINDI at kindi at qu.edu.qa, and also m.alnobi at qu.edu.qa . ________________________________ 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 rainer.stiefelhagen at kit.edu Wed Nov 16 15:55:03 2022 From: rainer.stiefelhagen at kit.edu (Rainer Stiefelhagen) Date: Wed, 16 Nov 2022 21:55:03 +0100 Subject: Connectionists: 12 Doctoral Researchers (f/m/d) - Cooperative Graduate School Accessibility through AI-based Assistive Technology Message-ID: <5EE38699-A43B-44E0-B859-09654A57A840@kit.edu> An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 2361 bytes Desc: not available URL: From torcini at gmail.com Wed Nov 16 15:51:50 2022 From: torcini at gmail.com (A. Torcini) Date: Wed, 16 Nov 2022 21:51:50 +0100 Subject: Connectionists: PhD & Postdoc at University of Lyon1, FR Message-ID: PhD and Postdoctoral positions are open in computational neurosciences at the University of Lyon1, in the Stem and Brain Research Institute (https://sbri.fr/). The project aims at understanding the cellular and circuit mechanisms responsible for cognitive functions, combining computational and theoretical aspects of neural modeling as well as analyses of electrophysiological data. Further details at https://euraxess.ec.europa.eu/jobs/865006. The positions are available starting immediately. Candidates should send their CV and a brief cover letter to Matteo di Volo: matteo.divolo at univ.lyon1.fr From vassilisvas at gmail.com Thu Nov 17 08:02:03 2022 From: vassilisvas at gmail.com (Vassilis Vassiliades) Date: Thu, 17 Nov 2022 15:02:03 +0200 Subject: Connectionists: [jobs] Research Associates in Machine Learning and Robotics in Cyprus Message-ID: Dear colleagues, We are looking for research associates in *machine learning* and *robotics *at the CYENS Centre of Excellence in Cyprus. For more information, please check the following link: https://www.cyens.org.cy/en-gb/vacancies/job-listings/research-associates/research-associates-in-machine-learning-and-roboti/ *Application deadline*: 20 November 2022 Regards, Vassilis Vassiliades -------------- next part -------------- An HTML attachment was scrubbed... URL: From keller at inf.ed.ac.uk Thu Nov 17 12:42:46 2022 From: keller at inf.ed.ac.uk (Frank Keller) Date: Thu, 17 Nov 2022 17:42:46 +0000 Subject: Connectionists: PhD studentships: UKRI CDT in NLP, University of Edinburgh Message-ID: <25462.29334.843316.800264@lodovico.inf.ed.ac.uk> FULLY FUNDED FOUR-YEAR PHD STUDENTSHIPS UKRI CENTRE FOR DOCTORAL TRAINING IN NATURAL LANGUAGE PROCESSING Based at the University of Edinburgh: in conjunction with the School of Informatics and School of Philosophy, Psychology and Language Sciences. Deadlines: * Non UK: 25th November 2022 * UK: 27th January 2023 Applications are now sought for the UKRI CDT in NLP?s fifth and final cohort of students, which will start in September 2023. * * * The CDT in NLP offers unique, tailored doctoral training comprising both taught courses and a doctoral dissertation over four years. Each student will take a set of courses designed to complement their existing expertise and give them an interdisciplinary perspective on NLP. The studentships are fully funded for the four years and come with a generous allowance for travel, equipment and research costs. The CDT brings together researchers in NLP, speech, linguistics, cognitive science and design informatics from across the University of Edinburgh. Students will be supervised by a world-class faculty comprising almost 60 supervisors and will benefit from cutting edge computing and experimental facilities, including a large GPU cluster and eye-tracking, speech, virtual reality and visualisation labs. The CDT involves a number of industrial partners, including Amazon, Facebook, Huawei, Microsoft, Naver, Toshiba, and the BBC. Links also exist with the Alan Turing Institute and the Bayes Centre. A wide range of research topics fall within the remit of the CDT: * Natural language processing and computational linguistics * Speech technology * Dialogue, multimodal interaction, language and vision * Information retrieval and visualization, computational social science * Computational models of human cognition and behaviour, including language and speech processing * Human-Computer interaction, design informatics, assistive and educational technology * Psycholinguistics, language acquisition, language evolution, language variation and change * Linguistic foundations of language and speech processing. The next cohort of CDT students will start in September 2023. Around 12 studentships are available, covering maintenance at the UKRI rate (currently ?17,668 per year) plus tuition fees. Studentships are open to all nationalities and we are particularly keen to receive applications from women, minority groups and members of other groups that are underrepresented in technology. Applicants in possession of other funding scholarships or industry funding are also welcome to apply ? please provide details of your funding source on your application. Applicants should have an undergraduate or master?s degree in computer science, linguistics, cognitive science, AI, or a related discipline; or have a breadth of relevant experience in industry/academia/public sector, etc. Further details, including the application procedure, can be found at: https://edin.ac/cdt-in-nlp Application Deadlines: Early application is encouraged but completed applications must be received at the latest by: * 25th November 2022 (non UK applicants) or 27th January 2023 (UK applicants). Enquiries: Please direct any enquiries to the CDT admissions team at: cdt-nlp-info at inf.ed.ac.uk. CDT in NLP Virtual Open Day: Find out more about the programme by attending the PG Virtual Open Week in November. Click here to register: https://www.ed.ac.uk/studying/postgraduate/open-days-events-visits/open-days/postgraduate-virtual-open-days -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From interdonatos at gmail.com Thu Nov 17 11:55:59 2022 From: interdonatos at gmail.com (Roberto Interdonato) Date: Thu, 17 Nov 2022 17:55:59 +0100 Subject: Connectionists: CfP FRCCS 2023 - Third French Regional Conference on Complex Systems, May 31 Le Havre, France, June 02, 2023 Message-ID: *Third F*rench* R*egional* C*onference on* C*omplex* S*ystems May 31 ? June 02, 2023 Le Havre, France *FRCCS 2023* You are cordially invited to submit your contribution until *February 22, 2023.* *FRCCS 2023 (F*rench *R*egional* C*onference on *C*omplex *S*ystems 2023) is the Third edition of the French Regional Conference on Complex Systems. It promotes interdisciplinary exchanges between regional researchers from various scientific disciplines and backgrounds (sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science). FRCCS 2023 is an opportunity to exchange and promote the cross-fertilization of ideas by presenting recent research work, industrial developments, and original applications. Special attention is given to research topics with a high societal impact from the complexity science perspective. *Keynote Speakers* (To Be Updated) Luca Maria Aiello ITU Copenhagen Denmark Ginestra Bianconi Queen Mary University UK Adriana Iamnitchi Maastricht University Netherlands Rosario N. Mantegna Palermo University Italy C?line Rozenblat University of Lausanne Switzerland *Submission Guidelines* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Full paper* about *original research* ? *Extended Abstract* about published or unpublished research. It is recommended to be between 3-4 pages. They should not exceed four pages. o Submissions must follow the Springer publication format available in the journal Applied Network Science in the Instructions for Authors' instructions entry. o All contributions should be submitted in *pdf format* via *EasyChair .* *Publication* *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, edited by Springer o Complexity, edited by Hindawi *Topics include, but are not limited to: * ? *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior, and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * o Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIRS* Cyrille Bertelle LITIS, Normastic, Le Havre Roberto Interdonato CIRAD, UMR TETIS, Montpellier -------------- next part -------------- An HTML attachment was scrubbed... URL: From carriere.maxime93 at gmail.com Thu Nov 17 10:12:22 2022 From: carriere.maxime93 at gmail.com (maxime carriere) Date: Thu, 17 Nov 2022 16:12:22 +0100 Subject: Connectionists: Postdoc and PhD positions computational modelling (Berlin-Germany) [Deadline 21/11/2022] Message-ID: Postdoc and PhD positions computational modelling (Berlin-Germany) *[Deadline 21/11/2022]* The ERC Advanced Grant ?Material Constraints Enabling Human Cognition (MatCo)? at the Freie Universit?t Berlin aims to build network models of the human brain that mimic neurocognitive processes involved in language, communication and cognition. A main strategy is to use neural network models constrained by neuroanatomical and neurophysiological features of the human brain in order to explain aspects of human cognition. To this end, neural network simulations are performed and evaluated in neurophysiological and neurometabolic experiments. This neurocomputational and experimental research targets novel explanations of human language and cognition on the basis of neurobiological principles. More information about the project can be found here: www.fu-berlin.de/matco In the MatCo project, 3 positions are currently available: - 1 full time position for a Scientific Researcher at the postdoctoral level Fixed-term (until 30.9.2025), Salary Scale 13 TV-L FU ID: WiMi_MatCo100_08-2022, - 2 part time positions (65%) for Scientific Researchers at the predoctoral level Fixed-term (until 30.9.2025), Salary Scale 13 TV-L FU ID: WiMi_MatCo65_08-2022 Job tasks and responsibilities: ? Simulation studies with neural network models of language and cognition ? Preparation, implementation and evaluation of neurocognitive experiments on language and cognition (ECoG, EEG, fMRI). ? Tractography analyses and use of their results for optimizing neural models Requirements: ? Completed university degree (MA, MSc or equivalent) in a relevant field (e.g., linguistics, psychology, cognitive neuroscience, medicine) ? Only for the postdoc position: Completion of a PhD (or MD) in a relevant field (linguistics, psychology, cognitive neuroscience, medicine) Desirable: ? Research experience with biologically constrained neural networks and with network simulations of cognitive processes ? Experience in empirical experimental language research *Extended deadline (Monday 21/11/2022) * More information ==> https://www.geisteswissenschaften.fu-berlin.de/v/brainlang/index.html Best, Maxime Carri?re -------------- next part -------------- An HTML attachment was scrubbed... URL: From hava.siegelmann at gmail.com Thu Nov 17 12:10:41 2022 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Thu, 17 Nov 2022 12:10:41 -0500 Subject: Connectionists: Subject: New learning algorithm requiring only forward passes Message-ID: Colleagues and friends, I would like to bring to your attention an exciting new algorithm that requires only forward passes. Here are some of its significant features: 1. It requires only forward passes and computes locally - leading to decreased hardware and memory needs 2. It does not require fixing classes in advance, but instead adds classes as needed on the go ? suiting it particularly to lifelong learning 3. It processes (I,O) sequences - without waiting before taking in the next ones- operating as a pipeline, processing deeper and shallower areas simultaneously; these attributes make it particularly appropriate for online and lifelong learning 4. It works with different kinds of neurons, e.g., regular deep network and spiking neurons Here is the link (to previous version): https://arxiv.org/pdf/2204.01723.pdf Try it, it works amazingly well. Best regards ? Hava -------------- next part -------------- An HTML attachment was scrubbed... URL: From aml at inesc-id.pt Thu Nov 17 13:55:57 2022 From: aml at inesc-id.pt (Arlindo Oliveira) Date: Thu, 17 Nov 2022 18:55:57 +0000 Subject: Connectionists: Fully funded PhD scholarships in the Responsible AI Project @ INESC-ID Message-ID: <939aac46-0572-1b94-b3aa-45bdf36dc90f@inesc-id.pt> The Machine Learning and Knowledge Discovery Group(https://mlkd.idss.inesc-id.pt/ ) of INESC-ID (https://www.inesc-id.pt/)is looking for qualified applicants for three fullyfundedPhD studentpositions on topics related with the application of deep learningtechniques to problems with societal impact. These positions arefundedby a large-scale research project in responsible AI, supported by theResiliency and Recovery Facility. The successful candidates will pursue a PhD degree in Computer Scienceand Engineering at Instituto Superior T?cnico (https://tecnico.ulisboa.pt/pt/ ), in Lisbon Portugal. The broad topics of research are: 1 - Normalization of geolocation records using deep learning techniques 2 - High confidence information retrieval and question answering 3 - Application of reinforcement learning methods to the generation of efficient algorithms Complete information about the positions is available at https://mlkd.idss.inesc-id.pt/m-l-k-d-positions.html -- ---------------------------------------------------------------------- Arlindo Oliveira,http://arlindo.oliveira.cc Distinguished Professor, IST,http://tecnico.ulisboa.pt President, INESC,http://www.inesc.pt Member of the Board, CGD,http://www.cgd.pt/institucional Senior Researcher, INESC-ID,http://mlkd.idss.inesc-id.pt Email:arlindo at oliveira.cc Tel: +351213100317 -------------- next part -------------- An HTML attachment was scrubbed... URL: From marco.zullich at protonmail.com Thu Nov 17 15:12:12 2022 From: marco.zullich at protonmail.com (Marco Zullich) Date: Thu, 17 Nov 2022 20:12:12 +0000 Subject: Connectionists: [CFP] Statistics for Data Science and Artificial Intelligence Message-ID: **** Apologies for cross-posting **** Dear all, With great pleasure the Statistics and Data Science group of SIS invites to participate at the Meeting Statistics for Data Science and Artificial Intelligence of the SDS group - University of Pavia, Pavia April 27-28 2023. All information about the conference is available [HERE](https://sites.google.com/universitadipavia.it/sdsconference-pavia/home?authuser=0) CALL FOR PAPERS: Academics, researchers, PhD students, and practitioners interested in statistics and data science research and the related methodological and applied fields are invited to submit papers for the first meeting of the Statistic and Data Science group conference. The interplay between statistics and data science is gaining more and more interest not only for statisticians but also for physicists and computer scientists. We call for papers treating themes related to the modelling and analysis of complex data (structured, non-structured, mixed) and proposing new or ad hoc approaches pertaining the following aims: Ensemble methods for classification Data Visualization Prediction & Classification Explainable AI Data stream analysis Mining complex data Textual data analysis Computational Statistics Learning with imbalanced data Unsupervised models Dimensional reduction Variational Inference Geometrical data analysis Deep Learning Preference Learning Data Ethics & Fairness in Machine Learning Practice & Applications Education & Data Literacy The deadline to submit your contribution is 10th January 2023. Paper Submission Authors who wish to present a contributed paper are invited to submit an abstract and a short paper. All abstracts should contain no more than 200 words, without references and formulas. Short papers should be from 4 to 6 pages long. They have to describe: the substantive problem and the analysed data, as well as the proposed techniques and models. They have also to include a clear statement of the main results and conclusions and to indicate the most relevant references. Papers will be included in the program after their acceptance. Papers must be submitted to sdsconference.pavia at gmail.com All submissions will undergo a peer review process. Kind Regards, The Program and Organizing Committees -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicho at uchicago.edu Thu Nov 17 15:29:16 2022 From: nicho at uchicago.edu (Nicho) Date: Thu, 17 Nov 2022 14:29:16 -0600 Subject: Connectionists: Postdoc position in invasive human brain-machine interface project Message-ID: <72dee9fc-d47f-510a-1712-60f0b3bedc14@uchicago.edu> *Postdoctoral Position in Invasive Bi-Directional Human Brain-Machine Interfaces * ** A postdoctoral position is available beginning in 2023 to help develop a brain-machine interface for dexterous control of a cortically-controlled robotic arm and hand. The approach involves creating 1) decoding strategies from electrical signals in motor cortex that enable the user to not only control the movements of the arm and hand but also the forces transmitted through the hand and 2) encoding models to convey tactile sensations to the user through intracortical microstimulation of somatosensory cortex. Expertise in multi-electrode, behavioral electrophysiology is preferred.A strong mathematical, computational, or engineering background is also desirable.Applicants should send a CV and names and addresses of two or three references to Dr. Nicholas Hatsopoulos, Department of Organismal Biology & Anatomy, University of Chicago, 1027 East 57^th Street, Chicago, IL 60637 or by e-mail to nicho at uchicago.edu. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sofiarsleite at gmail.com Fri Nov 18 04:48:43 2022 From: sofiarsleite at gmail.com (Sofia Leite) Date: Fri, 18 Nov 2022 09:48:43 +0000 Subject: Connectionists: Help in finding a journal about Psychology and Neural Networks Message-ID: Good morning all members of this list, Would you know or recommend a journal where I can publish work on the frontier between Psychology and Neural Networks? That has not been an easy task. I developed work on developmental neural networks: created a NN model based on some premises of the Model of Hierarchical Complexity (MHC), a developmental theory. The dataset I used is quite simple, since the goal was not to have the model solving the problem, but solving it in a developmental way, obeying to the rules of human development according to the MHC. The study presents a novel method and obtained good results. I appreciate your help! -- Sofia Leite, PhD Psic?loga Cl?nica Fundadora do RELIB - Centro Terap?utico e de Investiga??o Investigadora Integrada @ AI4Health, CINTESIS, FMUP - - -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Fri Nov 18 06:26:01 2022 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Fri, 18 Nov 2022 12:26:01 +0100 Subject: Connectionists: Help in finding a journal about Psychology and Neural Networks In-Reply-To: References: Message-ID: <691CB639-4122-4792-B98B-4C42D787A2AA@fias.uni-frankfurt.de> Hello Sofia, there are many journals to choose from. It sounds like a natural ?home" for your work might be the IEEE Transactions on Cognitive and Developmental Systems (https://cis.ieee.org/publications/t-cognitive-and-developmental-systems). Then again, many (if not most) psychological journals are also featuring neural network modeling work on a regular basis, with Developmental Science (https://onlinelibrary.wiley.com/journal/14677687) being just one example. Having said that, more engineering-oriented journals usually like to see some advance of the ?developmental? method over the state of the art in engineering, while psychological journals usually want to see the neural network explain some psychological phenomenon in a new or improved way. Work that does neither is indeed more difficult to publish, I?d say. Should it be that way? I usually recommend to my students to choose one approach or the other and avoid being in the "no man?s land" in between. Best regards, Jochen Triesch > Am 18.11.2022 um 10:48 schrieb Sofia Leite : > > Good morning all members of this list, > > Would you know or recommend a journal where I can publish work on the frontier between Psychology and Neural Networks? That has not been an easy task. > > I developed work on developmental neural networks: created a NN model based on some premises of the Model of Hierarchical Complexity (MHC), a developmental theory. The dataset I used is quite simple, since the goal was not to have the model solving the problem, but solving it in a developmental way, obeying to the rules of human development according to the MHC. The study presents a novel method and obtained good results. > > I appreciate your help! > > -- > Sofia Leite, PhD > Psic?loga Cl?nica > Fundadora do RELIB - Centro Terap?utico e de Investiga??o > Investigadora Integrada @ AI4Health, CINTESIS, FMUP > -- 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 tomas.hromadka at gmail.com Fri Nov 18 10:38:13 2022 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Fri, 18 Nov 2022 16:38:13 +0100 Subject: Connectionists: COSYNE 2023: Abstract submission closes soon Message-ID: <9651fd48-7170-24f5-f8fa-38f5cc825b24@gmail.com> ==================================================== Computational and Systems Neuroscience 2023 (Cosyne) MAIN MEETING 09 - 12 March 2023 Montreal WORKSHOPS 13 - 14 March 2023 Mont-Tremblant www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 23 November 2022, 11:59PM PST ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 23 November 2022. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. See Cosyne.org -> Abstracts -> Abstract submission for details on how to submit an abstract to Cosyne. ORGANIZING COMMITTEE General Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Program Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Workshop Chairs: Anna Schapiro (U Penn) and Andrew Saxe (Oxford) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Hysell Oviedo (CUNY) and Aman Saleem (UCL) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Sashank Pisupati (Princeton) Fundraising Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Xaq Pitkow (Rice) PROGRAM COMMITTEE Jessica Cardin (Yale) Co-chair Blake Richards (McGill) Co-chair Yashar Ahmadian (Cambridge) Mark Andermann (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Johannes Burge (U Penn) Chandramouli Chandrasekaran (Boston U) SueYeon Chung (Columbia) Jeremiah Cohen (Allen Inst) Anne Collins (Berkeley) Christine Constantinople (NYU) Carina Curto (Penn State) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Sean Escola (Columbia) Annegret Falkner (Princeton) Kevin Franks (Duke) Rainer Friedrich (FMI Basel) Andrea Hasenstaub (UCSF) Monika Jadi (Yale) Santiago Jaramillo (U Oregon) Kohitij Kar (MIT) Narayanan Kasthuri (U Chicago) Jens Kremkow (Berlin) Guillaume Lajoie (MILA) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Mackenzie Mathis (EPFL) Paul Miller (Brandeis) Ida Momennejad (Microsoft) Eilif Muller (U Montreal) Marieke Mur (Western U) Kathy Nagel (NYU) Daniel O'Connor (Johns Hopkins) Hysell Oviedo (CUNY) Il Memming Park (Stony Brook) Joseph Paton (Champalimaud) Adrien Peyrache (McGill) Xaq Pitkow (Rice) Kanaka Rajan (Mount Sinai) Nathalie Rochefort (Edinburgh) Aman Saleem (UCL) Cristina Savin (NYU) Tatyana Sharpee (Salk) Aparna Suvrathan (McGill) Saori Tanaka (ATR) Daniela Vallentin (MPI Ornithology) Melissa Warden (Cornell) Brad Wyble (U Penn) Marta Zlatic (Cambridge) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) Anne-Marie Oswald (U Chicago) CONTACT meeting [at] cosyne.org Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details. From interdonatos at gmail.com Fri Nov 18 10:27:44 2022 From: interdonatos at gmail.com (Roberto Interdonato) Date: Fri, 18 Nov 2022 16:27:44 +0100 Subject: Connectionists: PhD position on complex networks analysis [CIRAD - UMR TETIS, Montpellier, France] Message-ID: CIRAD (UMR TETIS laboratory, Montpellier) is offering a PhD position on Analysis of complex networks derived from interaction graphs for landscape dynamics analysis. The details of the offer are attached and at this link: https://nubes.teledetection.fr/index.php/s/CLXwBSWNkRSBzYD Applications must be sent to roberto.interdonato at cirad.fr before November 25, 2022. The application procedures are detailed in the attached offer. Thank you for diffusing this information in your networks and to anyone who might be interested. Kind regards, Roberto Interdonato -------------- next part -------------- An HTML attachment was scrubbed... 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Name: Analysis of complex networks derived from interaction graphs for landscape dynamics analysis.pdf Type: application/pdf Size: 115872 bytes Desc: not available URL: From david at irdta.eu Sat Nov 19 13:05:44 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 19 Nov 2022 19:05:44 +0100 (CET) Subject: Connectionists: DeepLearn 2023 Winter: early registration November 21 Message-ID: <859405286.1916684.1668881144502@webmail.strato.com> ****************************************************************** 8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: November 21, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Winter 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 and Lule?. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting 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, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 23 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. 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. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. 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 2023 Winter 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 2023 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: Talbot Campus Bournemouth University https://www.bournemouth.ac.uk/about/contact-us/directions-maps/directions-our-talbot-campus 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), CTRL: Closed-Loop Data Transcription via Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] Deep Learning for 3D Vision Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare Luc De Raedt (KU Leuven), [introductory/intermediate] From Statistical Relational to Neuro-Symbolic Artificial Intelligence Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Zhiting Hu (University of California, San Diego) & Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A "Standard Model" for Machine Learning with All Experiences Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Abdelrahman Mohamed (Meta), [intermediate/advanced] Speech Representation Learning for Recognition and Generation Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Genova), [introductory/intermediate] Adversarial Machine Learning Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Richa Singh (Indian Institute of Technology Jodhpur), [introductory/intermediate] Trusted AI Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Bram van Ginneken (Radboud University Medical Center), [introductory/intermediate] Deep Learning for Medical Image Analysis Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis 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 January 8, 2023. 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 January 8, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company 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 January 8, 2023. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, local co-chair) Marcin Budka (Bournemouth) Vegard Engen (Bournemouth) Nan Jiang (Bournemouth, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023wi/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. 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 courses 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://irdta.eu/deeplearn/2023wi/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Bournemouth University Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From auke.ijspeert at epfl.ch Sun Nov 20 06:21:55 2022 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Sun, 20 Nov 2022 12:21:55 +0100 Subject: Connectionists: PhD student position in computational neuromechanical modeling, at EPFL, Lausanne, Switzerland Message-ID: <7be86266-bc0a-e1e3-a18b-126b2bd77b40@epfl.ch> *PhD student position in computational neuromechanical modeling * The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/) at EPFL (Lausanne, Switzerland) has one open *PhD student position* in *computational neuromechanical modeling*. The position is part of the ERC Synergy Salamandra project that started in September 2021, together with Prof. Andras Simon (KI Sweden) and Prof. Dimitri Ryczko (U. Sherbrooke, Canada). See some info here: https://actu.epfl.ch/news/salamanders-provide-a-model-for-spinal-cord-rege-3/ The goals of the position are (i) to develop numerical models of the musculoskeletal system of the salamander (and other related animals), (ii) to develop models of the physical interactions of the simulated bodies with water and ground environments, and (iii) to simulate neurons that relay proprio- and exteroception to locomotor circuits (together with computational neuroscientists in the team). The positions are fully funded for 4 years. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Requirements:* Candidates need to have a Master degree in a field related to computational modeling and physics-based simulations, e.g. in computer science, mechanical engineering, or physics. The ideal candidate for this position should have a strong numerical modeling background, good programming skills, good math background (e.g. in dynamical systems), and interest in animal and robot locomotion. *How to apply for the position:* Step 1: The position is only open to applicants who have been accepted by the EPFL doctoral school (see http://phd.epfl.ch/). The first step is therefore to fill the applications for one of the relevant EPFL doctoral programs? (e.g. robotics or computer science). Step 2: In parallel to step 1, or once accepted by one of the doctoral programs (please specify which doctoral program and the date of acceptance), the application to the position should be sent by email to Prof. Auke Ijspeert and consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it) and a copy of the doctoral program application. Informal inquiries about the relevance of an application can be sent to auke.ijspeert at epfl.ch (e.g. before or while submitting an application to the doctoral school), but responses can be slow because of a heavy schedule and a filled mail box. *Deadline and starting date: **The ideal starting date is September 2023* (with some flexibility). Applications will be considered starting *from December 2022*, and then continuously until the positions are filled. *Contact: *Information concerning the type of research carried out by the lab can be found at https://www.epfl.ch/labs/biorob/ . You should send your application and any inquiry by email to: auke.ijspeert at epfl.ch -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique F?d?rale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert at epfl.ch ----------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Sun Nov 20 12:22:12 2022 From: sebastien.destercke at hds.utc.fr (Sebastien Destercke) Date: Sun, 20 Nov 2022 18:22:12 +0100 Subject: Connectionists: Two next SIPTA seminars: 29th November and 14th December (both 15:00 CEST) Message-ID: <37539228-0E49-4137-90E3-8DAE7A0879A0@hds.utc.fr> Dear colleagues, We are delighted to announce our upcoming fifth and sixth SIPTA online seminars 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 fifth seminar will take place on the 29th of November (Tuesday) and the sixth on the 14th of December (Wednesday), both at 3pm CEST. The zoom link for the next seminar (29th) is https://utc-fr.zoom.us/j/87301217403 For this fifth seminar, we are very happy to have Fabio Cozman as our speaker. Fabio Cozman is a Full Professor at Escola Polit?cnica (Poli), Universidade de S?o Paulo (USP), and Director of the Center for Artificial Intelligence at USP. He has made many core contributions to artificial intelligence in general, on such varied topics as graphical models, logic or machine learning. He is also interested in the very foundations of reasoning under uncertainty, and has made numerous contributions to imprecise probability. On the 29th November, at 15:00 CEST (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Dealing with Uncertain Arguments in Artificial Intelligence?. 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 shortly before the event. So please mark your calendars on the 27th September, at 15:00 CEST, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is now online at https://www.youtube.com/watch?v=g10_mhNfMWs. See you at the seminar! S?bastien, Enrique and Jasper From vito.trianni at istc.cnr.it Mon Nov 21 10:23:57 2022 From: vito.trianni at istc.cnr.it (Vito Trianni) Date: Mon, 21 Nov 2022 16:23:57 +0100 Subject: Connectionists: [jobs] Open postdoc position on UX for collective intelligence - ISTC-CNR, Rome, Italy Message-ID: Apologies for multiple posting A postdoc position is available within the context of the European project HACID (http://www.hacid-project.eu), at the Institute of Cognitive Sciences and Technologies of the Italian National Research Council) HACID aims at the study of hybrid human-artificial collective intelligence for open-ended domains like medical diagnostics and decision support for climate change adaptation policies. Thanks to well designed knowledge graphs and information aggregation algorithms, the project aims at improving decision making in situations where knowledge fragmentation and information overload can strike. Related to the open position, the research program consists in the development of a dashboard for visualization and interaction with knowledge graphs in the context of both medical diagnostics and climate services. The dashboard will have to enable the selection by domain experts of concepts relevant to the case study, presenting these concepts in a dynamic and usable way. The activities include the experimental validation of the dashboard to test its usability and consistency, in interaction with the HACID team for the different case studies. The following skills are requested: ? Knowledge of User Experience (UX) methodologies and human-machine interaction; ? Experience in (i) data visualisation and (ii) design and implementation of user interfaces, also with open-source libraries and frameworks for the creation of interactive dashboards (e.g. D3, Kibana, Tableau, etc.); ? Experience in the use of the required programming languages: Python, Java; Deadline for applications is December 5th 2022. For further details and application instructions, see https://www.istc.cnr.it/en/content/assegno-di-ricerca-3342022-progettazione-e-validazione-sperimentale-di-strumenti For any inquiry, feel free to contact me. Vito Trianni ======================================================================== Vito Trianni, Ph.D. vito.trianni@(no_spam)istc.cnr.it ISTC-CNR http://www.istc.cnr.it/people/vito-trianni Via San Martino della Battaglia 44 Tel: +39 06 44595277 00185 Roma Fax: +39 06 44595243 Italy ======================================================================== From Donald.Adjeroh at mail.wvu.edu Mon Nov 21 12:33:12 2022 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Mon, 21 Nov 2022 17:33:12 +0000 Subject: Connectionists: Call for Participation -- IEEE BIBM-LncRNA'22, See our array of speakers !! In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... --------------------------------------------------------------------------------------------------- The program for the 2022 IEEE BIBM LncRNA Workshop is now available. Please check the workshop webpage at: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ ---------------------------------------------------------------------------------------------------- Highlights: We have an exciting array of speakers for the workshop -- both In-Person presenters in Las Vegas, USA, and online/remote presenters !! 1 Keynote: * Igor Ulitsky, PhD, Weizmann Institute of Science, Israel (online) 1 Plenary Talk: * George A Calin, MD, PhD, MD Anderson Cancer Center, Houston, TX, USA (online) 2 Invited Speakers: * David Henderix, PhD, Oregon State University, Oregon, USA (in-person) * Ivan Martinez, PhD, West Virginia University, Morgantown, WV, USA (in-person) One "round-table" panel of experts in the field Presentation of accepted papers Limited Travel Fellowships still available !! See our website: BIBM- LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ More details below .... The IEEE BIBM 2022 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2022 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021), Dec. 6 - 9, 2022. The LncRNA workshop will be held in a mixed mode -- both virtual/remote and face-to-face in Las Vegas, Nevada, USA. BIBM-LncRNA'2022 will be held on Dec 7, 2022. Please see the website for the program schedule and speakers: BIBM-LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ IEEE BIBM 2022: https://ieeebibm.org/BIBM2022/ Fellowships: Funds are available for limited fellowships to support the participation of students, and of researchers from underrepresented minority groups in the workshop. We aim at supporting at least one author for each accepted paper, depending on availability of funds. Please apply on or before Nov. 28, 2022. Journal Special Issue: Pending final approval by the journal, authors of selected submissions will be invited to extend their papers for submission for review and possible publication in a special issue of the journal -- Non-Coding RNA. https://www.mdpi.com/journal/ncrna Important Dates: Nov. 28, 2022: Deadline for Workshop Fellowship application Dec 6-9, 2022: IEEE BIBM conference and workshops Dec: 7, BIBM-LncRNA Workshop BIBM-LncRNA'22 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From susan.fischer at uni-tuebingen.de Mon Nov 21 12:53:34 2022 From: susan.fischer at uni-tuebingen.de (Susan Fischer) Date: Mon, 21 Nov 2022 18:53:34 +0100 Subject: Connectionists: =?utf-8?q?Lab_Manager_position_=28_T=C3=BCbingen_?= =?utf-8?q?-_Germany=29_=5BDeadline_11_Dec_2023=5D?= Message-ID: <2376728C-753F-4706-AB08-0DB77D2F899C@uni-tuebingen.de> (Apologies for cross-posting) The newly established W3 professorship ?Computational Psychiatry? at the Dept. of Psychiatry and Psychotherapy, University T?bingen is offering a position for a Lab Manager (m/f/d; 50-100%, 1+ years) starting in January 2023 or at earliest convenience. The position is initially limited to 1 year with the possibility of a further extension. Background: The newly established W3 professorship ?Computational Psychiatry? focuses on understanding the neural and computational mechanisms underlying psychiatric disorders, such as obsessive-compulsive disorder, and predicting disorder trajectories using computational modelling, neuroimaging, pharmacology and smartphone-based data collection in clinical and non-clinical populations. This position is suited for aspiring researchers with an MSc in psychology, cognitive science, or similar and is ideal for an ambitious person that wants to gain experience in cognitive neuroscience and computational psychiatry research. This position will allow the candidate to gain experience with conducting research with vulnerable populations and using cutting-edge computational psychiatry methods. Responsibilities: Involvement in the day-to-day running of the lab Assistance with conducting studies, e.g. piloting of studies, equipment setup and maintenance, and data collection (behavioural, neuroimaging, smartphone-based) Assistance with patient recruitment and support for clinical studies Assistance with coding experiments and analyses pipelines Support professor with administrative tasks and lab management: Support with Ethics applications Implementation and communication of general lab and safety regulations File and document management (e.g., preparatory work for the reimbursement of travel expenses) Organisation of higher-level laboratory management tasks (e.g. purchasing of equipment, inventory) Qualifications: ????? Essential: This position is suited for aspiring researchers with an MSc in psychology, cognitive science, neuroscience, or similar Good organization skills and self-motivation Experience with conducting cognitive (neuro-)science / psychological research with human participants A strong interest in cognitive neuroscience and computational psychiatry and good understanding of the relevant literature Good command of the German language Desirable: Experience with conducting research in vulnerable populations, such as children and/or psychiatric patients Solid programming skills (Matlab, Python) Experience with neuroimaging and/or computational modelling would be ideal What we offer: We offer a unique lab manager position based at the Dept. for Psychiatry and Psychotherapy, University Hospital of T?bingen. The position is funded by an Alexander-von-Humboldt-Professorship award. We offer remuneration in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States) in addition to all the customary benefits granted to employees working in Public Services. The candidate will gain insight into the process of academic research, and it will be a great stepping stone towards an independent research career. The position will be linked to the new German Centre for Mental Health and there is ample opportunity for interacting with collaborators locally, nationally and internationally. About T?bingen: Tu?bingen is a scenic university town on the Neckar River in South-Western Germany. The quality of life is exceptionally high and the atmosphere is diverse, inclusive, and most locals speak English. Tu?bingen offers excellent research opportunities due to the University, four Max Planck Institutes, the University Hospital, and Europe?s largest AI research consortium. You can find out more about Tu?bingen here: https://www.tuebingen.de/en/ How to apply: If you are interested in the position, please get in touch with Susan Fischer via email (susan.fischer at tue.mpg.de) enclosing your CV. For formal applications, please send a motivation letter, your CV, and the contact information of two referees as a single PDF to Susan Fischer. The University of T?bingen is an equal opportunities employer. Severely handicapped persons with equal qualifications are given preferential consideration. Applications of qualified women academics are thus especially encouraged; applications of disabled persons will be given preferential treatment to those of other candidates with equal qualifications. Please note the applicable vaccination regulations. The employment will be arranged by the central administration of the University of T?bingen. Preference will be given to applications received by 11 December, 2022, but applications might be considered thereafter until the position is filled. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan Eberhard Karls Universit?t T?bingen & Max Planck Institute for Biological Cybernetics AI Research Building R 20-7/A21 Maria-von-Linden-Str. 6 72076 T?bingen Germany susan.fischer at tue.mpg.de ************************************************ -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Mon Nov 21 14:18:58 2022 From: max.garagnani at gmail.com (Max Garagnani) Date: Mon, 21 Nov 2022 19:18:58 +0000 Subject: Connectionists: Applications for 2023-24 entry OPEN:: MSc in Computational Cognitive Neuroscience, Goldsmiths (London, UK) Message-ID: ********************************************************************************** The MSc in COMPUTATIONAL COGNITIVE NEUROSCIENCE at Goldsmiths, University of London (UK) ********************************************************************************** is now ACCEPTING APPLICATIONS for 2023-24 ENTRY. Places on this programme are limited and will be allocated on a first-come first-served basis. If you are considering this MSc, we recommend applying now rather than later to avoid disappointment. The course builds on the multi-disciplinary and strong research profiles of our Computing and Psychology Departments staff. It equips students with a solid theoretical basis and experimental techniques in computational cognitive neuroscience, providing them also with an opportunity to apply their newly acquired knowledge in a practical research project, which may be carried out in collaboration with one of our industry partners (see below). Applications range from computational neuroscience and machine learning to brain-computer interfaces to experimental and clinical research. For more INFORMATION about the course, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ HOW TO APPLY: ============= Submitting an online application is easy and entirely free of cost. Simply click on THIS LINK and follow the instructions. COURSE OUTLINE: =============== This is a one-year full-time or two-years part-time Masters programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for the full-time pathway). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering), however, individuals with different backgrounds but equivalent experience will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out 'in house' or in collaboration with an external partner, either from academia or industry. For samples of previous students' MSc projects , visit: https://coconeuro.com/index.php/student-projects/ LINKS WITH INDUSTRY: ==================== The programme benefits from an ongoing collaborative partnership with different international companies having headquarters in the UK, USA, Europe, and Japan. Carrying out your final research project with one of our industry partners will enable you to acquire cutting-edge skills much in demand on the job market and provide a ?fast track? route towards post-master's internships and employment. Here are examples of career pathways followed by some of our alumni, together with what they have to say this course: https://coconeuro.com/index.php/alumni/ For any further information, including entry requirements, fees and funding opportunities, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ https://www.gold.ac.uk/pg/fees-funding/ For any other specific questions, please do not hesitate to get in touch. Max Garagnani, PhD. PhD. -- Joint Programme Leader, MSc in Computational Cognitive Neuroscience Senior Lecturer in Computer Science Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK https://www.gold.ac.uk/computing/people/garagnani-max/ ******************************************************************************* -------------- next part -------------- An HTML attachment was scrubbed... URL: From bisant at umbc.edu Mon Nov 21 15:56:42 2022 From: bisant at umbc.edu (David B) Date: Mon, 21 Nov 2022 15:56:42 -0500 Subject: Connectionists: CFP: FLAIRS-36, Neural Networks and Data Mining Special Track, Clearwater Beach, Fl, May 14-17, 2023 In-Reply-To: References: Message-ID: FLAIRS-36 Clearwater Beach, Florida, USA, May 14-17, 2023 Neural Networks and Data Mining Special Track Abstract submission deadline: February 6, 2023 Paper submission deadline: February 13, 2023 Notifications: March 13, 2023 Camera ready version due: April 10, 2023 The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): 1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Algorithms such as new developments in Back Propagation, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic. 3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 4. Graph modeling, pattern discovery, and anomaly detection. 5. Feature extraction and selection. 6. Post-processing techniques such as visualization, summarization, or trending. 7. Preprocessing and data reduction. 8. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or tool suites, such as TensorFlow, PyTorch, Mahout, or Apache Spark, are also encouraged. Submission Guidelines Submitted papers must be original, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines ( https://www.flairs-36.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. Conference Proceedings Papers will be refereed and all accepted papers will appear in the conference proceedings. Program committee: Track Co-Chairs: David Bisant, Central Security Svcs, bisant at umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein at gmail.com William Eberle, Tennessee Tech University, weberle at tntech.edu Program Committee Members: Martin Atzmueller (University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (Verizon Business Solutions, USA) Sergei Dolenko (D.V.Skobeltsyn Inst of Nuc Phys, M.V.Lomonosov Moscow St Univ) Yoni Fridman (Verizon Business Solutions, USA) Olac Fuentes (University of Texas at El Paso, USA) Hyoil Han (Marshall University, USA) Sheikh Rabiul Islam (University of Hartford, USA) Mike James (iProgrammer, United Kingdom) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Prabin Lamichhane (Mastercard, USA) Lenin Mookiah (eBay, USA) Ramesh Paudel (George Washington University, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Further Information Questions regarding the Data Mining Special Track should be addressed to the track co-chairs: David Bisant, Central Security Svcs, bisant at umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein at gmail.com William Eberle, Tennessee Tech University, weberle at tntech.edu Invited Speakers To be announced Conference Web Sites Paper submission site: https://www.flairs-36.info/submissions FLAIRS-36 conference web page: https://www.flairs-36.info/ Florida AI Research Society (FLAIRS): https://www.flairs.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From vito.trianni at istc.cnr.it Tue Nov 22 05:02:38 2022 From: vito.trianni at istc.cnr.it (Vito Trianni) Date: Tue, 22 Nov 2022 11:02:38 +0100 Subject: Connectionists: [jobs] [URGENT] research fellowship: active monitoring with UAV swarms in precision agriculture Message-ID: <10BB876E-AE9A-497F-BAB4-FC8DDBDBFC04@istc.cnr.it> We are in urgent need of a research fellow to work within the AGR-o-RAMA project (http://www.agrorama.it). The research project requires to design collaborative monitoring strategies and to deploy them on real UAVs (see [1] to get a grasp about the proposed approach) The position is for one year (renewable), and is DEDICATED TO EU RESIDENTS ONLY. Requirements: 1. Excellent programming skills (C++, ROS/ROS2, Python) 2. Experience with single and multi-robot systems, robot swarms Previous experience with piloting UAVs is an asset Preliminary solicitations must arrive by Friday, December the 2nd. Send your CV and any inquiry to vito.trianni at istc.cnr.it [1] https://link.springer.com/chapter/10.1007/978-3-030-92790-5_24 ======================================================================== Vito Trianni, Ph.D. vito.trianni@(no_spam)istc.cnr.it ISTC-CNR http://www.istc.cnr.it/people/vito-trianni Via San Martino della Battaglia 44 Tel: +39 06 44595277 00185 Roma Fax: +39 06 44595243 Italy ======================================================================== From vincentthunder2011 at gmail.com Tue Nov 22 05:27:25 2022 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Tue, 22 Nov 2022 18:27:25 +0800 Subject: Connectionists: IEEE Social Networks TC Invited Talk (Prof. Pan Hui) Message-ID: Dear All, IEEE TCSN is pleased to invite you for the invited talk on *"**The Hitchhiker?s Guide to the Metaverse**" by Prof. **Pan Hui* *on Nov. 29th 2022 from 10:00 AM Hong Kong Time (Nov. 28th 9pm EST).* This talk is an endeavor of IEEE TCSN focusing on enhancing the awareness of trending topics to the community. Title: *The Hitchhiker?s Guide to the Metaverse* Speaker: *Prof. Pan Hui* Date: * 29 November 2022 (Tuesday)* Time: *10:00 AM HKT (UTC+08:00)* *(Check your local time here: **https://www.thetimezoneconverter.com/ )* *Zoom link: * *https://rebrand.ly/HitchhikerGuideToMetaverse * *Abstract*: We envision in the future the virtual world will mix and co-exist with the physical world in such an immersive way that we cannot tell what is real and what is virtual. We will live and interact with the virtual objects that are blended into our environments with advanced holographic technology or with high-quality head-mounted displays and lose the virtuality boundary. We call such a new reality Surreality. Our vision of ?metaverse? is a multi-world. There are multiple virtual worlds developed by different technology companies and there is also the Surreality where real and virtual merged. While the metaverse may seem futuristic, catalysed by emerging technologies such as Extended Reality, 5G, and Artificial Intelligence, the digital ?big bang? of our cyberspace is not far away. This talk aims to offer a comprehensive framework that examines the latest metaverse development under the dimensions of state-of-the-art technologies and metaverse ecosystems, illustrates the possibility of the digital ?big bang?, and proposes a concrete research agenda for the development of the metaverse. *Speaker Bio: * Pan Hui is a Chair Professor of Computational Media and Arts and Director of the Center for Metaverse and Computational Creativity at the Hong Kong University of Science and Technology (Guangzhou), and a Chair Professor of Emerging Interdisciplinary Areas at the Hong Kong University of Science and Technology. He is also the Nokia Chair in Data Science at the University of Helsinki. He received his PhD from the Computer Laboratory at University of Cambridge, and both his Bachelor and MPhil degrees from the University of Hong Kong. He was an adjunct Professor of social computing and networking at Aalto University, Finland, and a Distinguished Scientist at the Deutsche Telekom Laboratories (T-labs), Germany. His industrial profile also includes his research at Intel Research Cambridge, UK and Thomson Research Paris, France. Pan Hui is an expert in Augmented Reality and Mobile Computing, with more than 400 research papers, 30 patents, and over 24,000 citations. He is an International Fellow of the Royal Academy of Engineering, a member of Academia Europaea, an IEEE Fellow, and an ACM Distinguished Scientist. We look forward to your participation. [image: Prof. Pan Hui_13_plain.jpg] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Prof. Pan Hui_13_plain.jpg Type: image/jpeg Size: 586390 bytes Desc: not available URL: From anand.subramoney at ini.rub.de Tue Nov 22 05:30:06 2022 From: anand.subramoney at ini.rub.de (Anand) Date: Tue, 22 Nov 2022 16:00:06 +0530 Subject: Connectionists: Open PhD position in scalable, efficient machine learning Message-ID: <5846DA5B-D382-44F9-8DA3-B8B5AA8BB355@ini.rub.de> We are looking for excellent and highly motivated PhD students to join the Scalable Machine Learning group in the Department of Computer Science, Ruhr University Bochum. As a PhD student, you will work on developing state-of-the-art machine learning models that can scale while being energy-efficient. These models will be based on core design principles of sparsity and asynchrony and take inspiration from biology/neuroscience. The work will be done in collaboration with academic and industry groups that develop biology-inspired low-energy neuromorphic hardware. The appointment will be for three years, starting as soon as possible. Salary is 75% of salary scale TV-L E13. We offer: - An attractive interdisciplinary environment in Machine Learning / Artificial Intelligence. - Room to develop your own ideas in the project. - Opportunity to collaborate with international industry and university partners. - Infrastructure to integrate well into the institute and the group. - Opportunity to do a PhD (Dr). Candidates for this post should possess the following: - A very good Masters's degree in mathematics, computer science, engineering, or a related field. - Excellent programming skills (Python preferably). - Good knowledge of applied mathematics and computer science. - Ability to learn quickly and work independently, as well as in a team. Preferred qualifications include: - Interest in interdisciplinary research questions and cooperation. - Hands-on/research experience with deep learning. - Experience with machine learning frameworks such as PyTorch/Tensorflow/JAX. - Good communication and teamwork skills. - Experience or willingness to collaborate with a wide variety of interdisciplinary partners. How to apply: Applications should be sent as a single pdf file to anand.subramoney at ini.rub.de and should include the following: - Email subject line: "PhD application: Efficient ML" - CV with contact information for two references - transcript of records for MSc and BSc - a statement of purpose describing your research interests and why you think you are a good fit for this position - Application deadline: 12th of December Address informal enquiries to anand.subramoney at ini.rub.de or david.kappel at ini.rub.de. Travel expenses for interviews will not be refunded. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We, therefore, look forward to applications from qualified women. Applications from appropriately qualified disabled persons are also encouraged. More details are available at: https://jobs.ruhr-uni-bochum.de/jobposting/0054a35fae97508f06fe9a95773b5e6d0545e3c50?ref=homepage -- Dr. Anand Subramoney Institut f?r Neuroinformatik (INI) Ruhr-Universit?t Bochum, Germany https://anandsubramoney.com From i.lin at ucl.ac.uk Tue Nov 22 07:38:14 2022 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Tue, 22 Nov 2022 12:38:14 +0000 Subject: Connectionists: Open Rank Faculty Position at the Gatsby Unit, UCL Message-ID: <3FA75F4E-0AFE-43FA-87F5-2EB3383B734E@ucl.ac.uk> Open Rank Faculty Position in Theoretical Neuroscience or Machine Learning at the Gatsby Unit Closing date: 6 December 2022 The Gatsby Unit seeks to appoint a new principal investigator with an outstanding record of research achievement and an innovative research programme in theoretical neuroscience or machine learning at any academic rank. In theoretical neuroscience, we are particularly interested in candidates who focus on the mathematical underpinnings of adaptive intelligent behaviour in animals, or develop mathematical tools and models to understand how neural circuits and systems function. In machine learning, we seek candidates who focus on the mathematical foundations of learning from data and experience, addressing fundamental questions in probabilistic or statistical machine learning and understanding; areas of particular interest include generative or probabilistic modelling, causal discovery, reinforcement learning, theory of deep learning, and links between these areas and neuroscience or cognitive science. The unit offers internationally competitive salaries and an award-winning work environment. Our staff are entitled to UCL's wide range of staff benefits, including family-friendly policies. We particularly encourage applications from candidates from groups, including women and those from an ethnic minority background, who are likely to be under-represented in UCL?s workforce in this type of role. For more information on the role and how to apply, please visit https://www.ucl.ac.uk/gatsby/vacancies About the unit: Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for both theoretical neuroscience and machine learning. We share a purpose-built home with the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC). Our close connection with the SWC offers an unparalleled opportunity for theorists and experimentalists to work together towards understanding computation in neural systems. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL www.ucl.ac.uk/gatsby | @GatsbyUCL From cskemp at gmail.com Tue Nov 22 19:12:21 2022 From: cskemp at gmail.com (Charles Kemp) Date: Wed, 23 Nov 2022 11:12:21 +1100 Subject: Connectionists: Open Rank Faculty Position at the University of Melbourne, Australia Message-ID: Open Rank Faculty Position in Computational or Mathematical Psychology at the University of Melbourne > Closing date: 1 February 2023 We are seeking an outstanding researcher with expertise in computational or mathematical psychology to join the Complex Human Data Hub and contribute to the school?s research and teaching program. The CHDH has areas of strength in memory, perception, categorization, decision-making, language, cultural evolution, and social network analysis. We welcome applicants from all areas of mathematical psychology, computational cognitive science, computational behavioural science and computational social science and are especially interested in applicants who can build upon or complement our existing strengths. We particularly encourage applicants whose theoretical approaches and methodologies connect with social network processes and/or culture and cognition, or whose work links individual psychological processes to broader societal processes. We especially encourage women and other minorities to apply. For more information please see https://psychologicalsciences.unimelb.edu.au/chdh/news/we-are-hiring -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Tue Nov 22 18:43:13 2022 From: amir.kalfat at gmail.com (Amir Aly) Date: Tue, 22 Nov 2022 23:43:13 +0000 Subject: Connectionists: CRNS Talk Series (10) - Live Talk by Dr. Dileep George - Google DeepMind - USA Message-ID: Dear All * *Apologies for cross-posting** The* Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Dr. **Dileep George* from *Google DeepMind* - USA on Wednesday, *November 30th from 3:00 PM to 4:30 PM *(*London time*) over *Zoom*. *Thank you for forwarding the invitation to any of your colleagues who might be interested*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to healthcare. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/96026331210?pwd=Ly9DMW9DcERSd3hGNnBlaDJScVpCUT09&from=addon >> *Title of the talk: Reverse engineering cortical microcircuit models of visual perception* *Abstract*: Although deep learning has made tremendous strides in visual recognition and generation, a significant gap remains between human and machine perception. In this talk, I will argue that models that use stochastic variables, lateral interactions, and dynamic inference might be required to close this gap. I will then describe a generative model, Recursive Cortical Networks (RCN), that partially meets these requirements and demonstrated excellent performance on some visual task benchmarks. Using RCN we derive a family of anatomically instantiated and functional cortical circuit models. Efficient inference and generalization guided the representational choices in the original computational model. The cortical circuit model is derived by systematically comparing the computational requirements of this model with known anatomical constraints. The derived model suggests precise functional roles for the feed-forward, feedback, and lateral connections observed in different laminae and columns, assigns a computational role for the path through the thalamus, predicts the interactions between blobs and interblobs, and offers an algorithmic explanation for the innate inter-laminar connectivity between clonal neurons within a cortical column. The model also explains several visual phenomena, including the subjective contour effect, and neon-color spreading effect, with circuit-level precision. Our work paves a new path forward in understanding the logic of cortical and thalamic circuits. >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics 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 v.nowack at imperial.ac.uk Tue Nov 22 11:59:42 2022 From: v.nowack at imperial.ac.uk (Nowack, Vesna) Date: Tue, 22 Nov 2022 16:59:42 +0000 Subject: Connectionists: CFP - Genetic Improvement Workshop GI @ ICSE 2023 - 13 Jan 2023 (submission deadline) Message-ID: The 12th International Workshop on Genetic Improvement Co-located with the 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia and online, 14--20 May 2023 http://geneticimprovementofsoftware.com/events/icse2023 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Important Dates: ~~~~~~~~~~~~~ Submission: 13 Jan 2023 Notification: 24 Feb 2023 Camera-ready: 17 Mar 2023 Workshop: 14-20 May 2023 (one day) Submission: ~~~~~~~~~~ Submit anonymised (double blind) PDF in IEEE conference proceedings format https://www.ieee.org/conferences/publishing/templates.html Research and Position Papers: ~~~~~~~~~~~~~~~~~~~~~~~~ * Research papers (limit eight pages) * Position papers (limit two pages) Topics of interest: ~~~~~~~~~~~~~~ Research and applications include, but are not limited to, using Genetic Improvement to: * Improve efficiency * Decrease memory consumption * Decrease energy consumption * Transplant new functionality * Specialise software * Translate between programming languages * Generate multiple versions of software * Improve low level or binary code * Improve SE documentation, specification, training and educational tools and techniques * Improve software engineering artifacts, e.g., documentation, specification, training and educational tools, materials and techniques * Repair bugs * GI techniques in industrial settings Keynote speaker: ~~~~~~~~~~~~~ Dr. Myra B. Cohen, Iowa State University (USA) Students travel awards: ~~~~~~~~~~~~~~~~~~ Up to five student travel awards 2 prizes: ~~~~~~~ * a prize will be awarded to the presenter who gives the best presentation at the workshop. * a prize will be given for the best paper. Both prizes will be awarded at the workshop which will be held in hybrid mode both in Melbourne, Australia and virtually on the Internet as part of the 45th International Conference on Software Engineering ICSE 2023. Workshop Chairs: ~~~~~~~~~~~~~~ Vesna Nowack v.nowack at imperial.ac.uk Markus Wagner markus.wagner at adelaide.edu.au Gabin An agb94 at kaist.ac.kr Aymeric Blot aymeric.blot at univ-littoral.fr Justyna Petke j.petke at ucl.ac.uk The full call for submissions: ~~~~~~~~~~~~~~~~~~~~~~ We invite submissions that discuss recent developments in all areas of research on, and applications of, Genetic Improvement. GI is the premier workshop in the field and provides an opportunity for researchers interested in automated program repair and software optimisation to disseminate their work, exchange ideas and discover new research directions. Topics of interest include both the theory and practice of Genetic Improvement. Applications include, but are not limited to, using GI to: * Improve efficiency * Decrease memory consumption * Decrease energy consumption * Transplant new functionality * Specialise software * Translate between programming languages * Generate multiple versions of software * Improve low level or binary code * Improve SE documentation, specification, training and educational tools and techniques * Improve software engineering artifacts, e.g., documentation, specification, training and educational tools, materials and techniques * Repair bugs * GI techniques in industrial settings Keynote: The keynote will be given by Dr. Myra B. Cohen head of Iowa State's LaVA-Ops, Laboratory for Variability-Aware Assurance and Testing of Organic Programs. The invited keynote presentation will be given by Myra Cohen. Dr. Cohen is a full professor at Iowa State University (USA), where she holds the Lanh and Oanh Nguyen Chair in Software Engineering in the Department of Computer Science. She is head of Iowa State's LaVA-Ops, Laboratory for Variability-Aware Assurance and Testing of Organic Programs. As well as genetic improvement, her research covers software testing of highly-configurable software, SBSE, applications of combinatorial designs (CIT), and the synergy between systems and synthetic biology and software engineering. She has served on many software engineering conferences, including this year as the Technical Briefings-track chair of ICSE 2023. Hybrid Event: Due to the continued COVID19 pandemic, as with GI 2020-22, the workshop may be held online with recordings available on YouTube. Eg https://youtube.com/playlist?list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje Students travel awards: We are pleased to announce that we will offer up to 5 awards of up to $250(USD) each to partially reimburse travel costs for students whose work is presented at the GI at ICSE 2023 workshop. Priority will be given based on the student's need and submission quality. Students applying for an award should submit a first-author regular full paper to the genetic improvement workshop. Moreover, their supervisor should send a one-paragraph note of recommendation to Dr. Vesna Nowack v.nowack at imperial.ac.uk listing: * the student's area of work. * the supervisor's support of the student's application. These awards are available thanks to the EPSRC grant on "Automated Software Specialisation Using Genetic Improvement" We encourage authors to submit early and in-progress work. The workshop emphasises interaction and discussion. All papers should be submitted electronically as PDFs via HotCRP https://gi-at-icse2023-workshop.hotcrp.com/ double-blind as PDFs in the ICSE conference format. All accepted papers must be presented at GI 2023 and will appear in the ICSE workshops volume. The official publication date of the workshop proceedings is the date the proceedings are made available by IEEE. This date may be up to two weeks prior to the first day of ICSE 2023. The official publication date affects the deadline for any patent filings related to published work. Details about the Genetic Improvement workshop can be found via: http://geneticimprovementofsoftware.com/events/icse2023 The webpage contains GI papers, blogs, success stories, a living survey, tools, benchmarks, people, GitHub, as well as past events, tutorials and workshops. Details about ICSE 2023 can be found at the web page: https://conf.researchr.org/home/icse-2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Timothee.Proix at unige.ch Wed Nov 23 05:21:20 2022 From: Timothee.Proix at unige.ch (=?UTF-8?Q?Timoth=C3=A9e_Proix?=) Date: Wed, 23 Nov 2022 11:21:20 +0100 Subject: Connectionists: Postdoctoral position at Bern Universtiy Hospital and University of Geneva Message-ID: <3179b1c2-c7fa-499e-973b-6e7a7e9ae4e1@app.fastmail.com> A postdoc position is available under the shared supervision of Prof. Maxime Baud (https://www.neuro-elab.com/) a neurologist and experimental neuroscientist at Inselspital, Bern Switzerland and Dr. Timoth?e Proix (https://ndlab.ch/) a computational neuroscientist at the University of Geneva, Switzerland who both specialize in quantitative neuroscience research. Together, we are running a three-year clinical trial involving patients with epilepsy who received a minimally invasive EEG device beneath the scalp for the chronic recording (months) of brain signals during wake and sleep. To help with the analysis of massive amounts of EEG data, we are looking to hire a passionate postdoc with desire to build forecasting algorithms aiming at estimating the risk of seizures 24 hours in advance. *Start of project early 2023 **(Quarter 1)*, at the University of Bern. Yearly, renewable contract with Swiss salary in compliance with guidelines of the University. Required qualifications ? Applicant should hold a PhD in any engineering field, physics, or neuroscience and have published scientific literature as a first author. ? Strong abilities in computer programming (Matlab and/or Python) ? Prior experience with machine learning methods, signal analysis and advanced data analysis techniques applied to neural timeseries (EEG > fMRI). ? Strong interpersonal communication skills in English and good written English Preferred qualifications ? Hands-on experience in human electrophysiology recordings is a significant advantage. ? Experience with deep-learning, machine-learning or statistical model development Your tasks ? Acquire domain knowledge in epileptology and sleep physiology ? The project lies at the interface between machine learning and EEG data analysis. ? The *goal of the project* is to develop *machine learning algorithms* to *forecast seizures*. To apply, please send a one-page motivation letter dedicated to this specific project, your up-to-date CV, and contact information for 2-3 references, as well as any other relevant documents to the Prof. Maxime Baud (maxime.baud.neuro (at) gmail.com) as well as Dr. Timoth?e Proix (timothee.proix (at) unige.ch). Screening of applications will start by November 2022 and will continue until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From s.wrigley at sheffield.ac.uk Wed Nov 23 06:46:57 2022 From: s.wrigley at sheffield.ac.uk (Stuart Wrigley) Date: Wed, 23 Nov 2022 11:46:57 +0000 Subject: Connectionists: Fully-funded PhD studentships in Speech and NLP at the University of Sheffield, UK Message-ID: *UKRI Centre for Doctoral Training (CDT) in Speech and Language Technologies (SLT) and their Applications * *Fully-funded 4-year PhD studentships for research in speech processing and natural language processing (NLP / NLProc)* *** Applications now open for September 2023 intake *** Deadline for applications: *31 January 2023* *Speech and Language Technologies (SLTs)* are a range of *Artificial Intelligence (AI)* approaches which allow computer programs or electronic devices to analyse, produce, modify or respond to human texts and speech. SLTs are underpinned by a number of fundamental research fields including *acoustics, signal processing, speech processing, **natural language processing (NLP / NLProc), computational linguistics, mathematics, machine learning, physics, psychology, and computer science*. Located in the Department of Computer Science at the University of Sheffield ? a world leading research institution in the SLT field ? the *UKRI Centre for Doctoral Training (CDT) in Speech and Language Technologies and their Applications * is a vibrant research centre that also provides training in engineering skills, leadership, ethics, innovation, entrepreneurship, and responsibility to society. Why not join us and push the boundaries of modern computational natural language processing and speech processing research? Apply now: https://slt-cdt.ac.uk/apply/ *The benefits:* - Four-year fully-funded studentship covering all fees and an enhanced stipend (?17,668 pa plus an additional enhancement* - tax free). - Laptop and dedicated desk in the SLT CDT workspace equipped with dual external monitors, headset, keyboard and mouse. - Generous personal allowance for research-related travel, conference attendance, specialist equipment, etc. - A full-time *PhD with Integrated Postgraduate Diploma (PGDip)* incorporating 6 months of foundational speech and NLP training prior to starting your research project - Bespoke cohort-based training programme running over the entire four years providing the necessary skills for academic and industrial leadership in the field. - Supervision from a team of over 20 internationally leading SLT researchers, covering all core areas of modern SLT research, and a broader pool of over 50 academics in cognate disciplines with interests in SLTs and their application - Every PhD project is underpinned by a real-world application, many supported by one of our industry partners. - A dedicated workspace purely for SLT CDT students within a collaborative and inclusive research environment hosted by the Department of Computer Science - Work and live in Sheffield - a cultural centre on the edge of the Peak District National Park which is one of the most affordable university cities in the UK (1st in the Unifresher Cheapest Cities In The UK For Students To Live In 2022 ; 3rd in the NatWest Student Living Index 2022 ). *About you:* We are looking for students from a wide range of backgrounds who have a passion for speech and language / NLP. - High-quality (ideally first class) undergraduate or masters (ideally distinction) degree in a relevant discipline. Suitable backgrounds include (but are not limited to) computer science / software engineering; electrical engineering; control engineering; informatics; AI; speech and language processing; mathematics; physics; linguistics; cognitive science; and general engineering. - Regardless of background, you *must* be able to demonstrate strong mathematical aptitude (minimally to A-Level standard or equivalent) and good experience of programming. - We particularly encourage applications from groups that are underrepresented in technology. - Both ?Home? and ?International? students may apply; UKRI limits the proportion of International students. Full details can be found on our website . *Applying:* Applications are now sought for the September 2023 intake. The deadline is *31 January 2023*. Applications will be reviewed within 6 weeks of the deadline and short-listed applicants will be invited to interview. Interviews will be held in Sheffield or via videoconference. See our website for full details and guidance on how to apply: https://slt-cdt.ac.uk/apply/ For an informal discussion about your application please contact us by email at: sltcdt-enquiries at sheffield.ac.uk *By replying to this email or contacting sltcdt-enquiries at sheffield.ac.uk you consent to being contacted by the University of Sheffield in relation to the CDT. You are free to withdraw your permission in writing at any time.* ** UKRI have recently increased the minimum stipend; we will announce the level of our enhancement (over and above the UKRI minimum) as soon as possible.* -- *Stuart N Wrigley BSc(Hons) PhD MIET SMIEEE MAUA* (he/him) Operations and Business Development Manager UKRI Centre for Doctoral Training in Speech and Language Technologies and their Applications slt-cdt.ac.uk twitter.com/sltcdt linkedin.com/company/sltcdt Department of Computer Science, University of Sheffield, UK Tel: +44 (0) 114 222 1880 (Internal: 21880) - redirects to my mobile s.wrigley at sheffield.ac.uk http://staffwww.dcs.shef.ac.uk/people/S.Wrigley/ https://www.linkedin.com/in/stuart-wrigley/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksharma.raj at gmail.com Wed Nov 23 13:21:45 2022 From: ksharma.raj at gmail.com (Raj Sharma) Date: Wed, 23 Nov 2022 23:51:45 +0530 Subject: Connectionists: Call for Participation: The 14th Asian Conference on Machine Learning (ACML 2022) | 12-14 Dec, 2022 Message-ID: **apologies if you have received multiple copies of this email* ------------------------------------------------------------------------------ *ACML 2022* The 14th Asian Conference on Machine Learning Hyderabad, India December 12-14, 2022 https://www.acml-conf.org/2022/ ------------------------------------------------------------------------------ We invite you to attend the 14th Asian Conference on Machine Learning. ACML 2022 aims to provide a leading international forum for Machine Learning researchers to share their new ideas and progress. The conference will be conducted in a hybrid mode. Physical events would be hosted in Hyderabad, India. Highlights of the conference *INVITED SPEAKERS* - *Manik Varma , *Partner Researcher, Microsoft Research India and Adjunct Professor, Indian Institute of Technology Delhi - *Kamalika Chaudhuri , *Research Scientist, Meta AI & Professor, University of California San Diego - *Taiji Suzuki , *Associate Professor, The University of Tokyo - *Andreas Krause , *Professor of Computer Science, ETH Zurich Visit here for more details on the invited talks *WORKSHOPS* 1. Machine Learning for Medical Imaging (ML4MI) - Current Trends and Future Roadmap 2. Weakly Supervised Learning Workshop 3. Workshop on Continual Lifelong Learning *TUTORIALS* 1. *Deep Generative Models for Sequential Decision Making*; Aditya Grover, Assistant Professor of CS at UCLA. 2. *Cooperative multi-agent learning: a review of progress and challenges*; Yali Du, King?s college London and Joel Leibo, Deepmind 3. *AI4code*; Srikanth G Tamilselvam and Dinesh Garg, IBM Research India. 4. *Optimization and learning with Markovian data*; Praneeth Netrapalli and Dheeraj M Nagaraj, Google Research India *ACCEPTED PAPERS* View the list of accepted papers in the conference here . *REGISTRATION* ACML is open for registrations for both in-person and virtual attendance here . Early Bird registration closes 27th November. *CONFERENCE VENUE* Indian School of Business (ISB), Hyderabad, India *SPONSORS* - Google - Microsoft Research - KLA - TREDENCE - IBM Research - Friendship 2.0 - OPPO - Qualcomm -------------- next part -------------- An HTML attachment was scrubbed... URL: From el-ghazali.talbi at univ-lille.fr Thu Nov 24 02:58:39 2022 From: el-ghazali.talbi at univ-lille.fr (El-Ghazali Talbi) Date: Thu, 24 Nov 2022 08:58:39 +0100 (CET) Subject: Connectionists: Last CFP OLA'2023 @Malaga (Spain) Message-ID: <1053562976.17790932.1669276719470.JavaMail.zimbra@univ-lille.fr> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** OLA'2023 International Conference on Optimization and Learning 3-5 May 2023 Malaga, Spain http://ola2023.sciencesconf.org/ SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and/or machine learning methods and their applications. The conference OLA'2023 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2023 welcomes presentations that cover any aspects of optimization and/or machine learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 10 pages Important dates: =============== Paper submission extended deadline Dec 16, 2022 Notification of acceptance Feb 17, 2023 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. Prof. El-ghazali TALBI University of Lille - CRISTAL UMR CNRS INRIA Lille Nord Europe ************************************************** OLA'2023 Int. Conf on Optimization and Learning May 3-5, 2023, Malaga, Spain http://ola2023.sciencesconf.org ************************************************** From ioannakoroni at csd.auth.gr Thu Nov 24 06:19:40 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 24 Nov 2022 13:19:40 +0200 Subject: Connectionists: Call for Tutorial Proposals, ACM International Conference on Multimedia Retrieval 2023, Thessaloniki, Greece, 12 - 15 June 2023 References: <004401d8e39f$f3884950$da98dbf0$@csd.auth.gr> <008101d8fff3$c7024460$5506cd20$@csd.auth.gr> Message-ID: <03d401d8fff6$a6059110$f210b330$@csd.auth.gr> *************************************************************** Call for Tutorial Proposals https://icmr2023.org/call-for-tutorial-proposals/ ACM International Conference on Multimedia Retrieval 2023 Thessaloniki, Greece, 12 - 15 June 2023 Web: https://icmr2023.org/ **************************************************************** ACM ICMR 2023 encourage proposals of tutorials by qualified researchers on trendy and innovative topics of multimedia search and retrieval research. Tutorials are expected to have an educational slant rather than being a cursory survey of techniques, suited for graduate students and junior researchers interested in multimedia retrieval. Both half-day and full-day offerings are welcome. Hands-on tutorials are highly encouraged. Topics for tutorial proposals include but are not limited to: - Multimedia content-based search and retrieval - Large-scale and web-scale multimedia retrieval - Machine learning, deep learning for effective search - Zero-shot learning and fine-grained retrieval for multimedia - Crowdsourcing, community contributions, and social multimedia - Emotion and sentiment analysis for multimedia search and retrieval - User intent and human perception in multimedia retrieval - Interactive recommendation systems - Privacy-preserving multimedia search and retrieval - Narrative generation and narrative analysis - Multimedia browsing, summarization, and visualization - Applications of multimedia retrieval, e.g., medicine, sports, commerce, lifelogs, travel, security, environment Tutorials will be offered free of charge to ICMR23 registered attendees. Tutorialists will be entitled to a speaker registration fee waiver at the conference _______________ IMPORTANT DATES _______________ - Tutorial proposal Due: February 17, 2023 - Notification of acceptance: February 28, 2023 - Tutorial overview abstract (2 pages) Due: TBD - Tutorials Day: TBD _____________________ SUBMISSION GUIDELINES _____________________ Proposals should be submitted by email to the Tutorials Chairs, either in plain-text or PDF format and should include the following information: - Tutorial title; - Tutorial duration: half- or full-day; - Tutorial description: topics that will be covered, along with a brief outline and significant details. - Proposer(s) information: name, title, affiliation, primary contact email, short bio, relevant publications with reference to the Tutorial topics. - Materials to be distributed to attendees (if any). - Prerequisites (if any) For each accepted tutorial, a 2 pages tutorial overview abstract should be provided. The abstract is going to be included in the ACM ICMR proceedings. The submission of the abstract should be carried out using the ACM ICMR submission system. _______ CONTACT _______ For any questions regarding tutorial submissions, please email the Tutorials Chairs: Alberto Del Bimbo, University of Firenze, Italy (alberto.delbimbo at unifi.it ) Ioannis Pitas, University of Thessaloniki, Greece (pitas at csd.auth.gr ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From loizos at ouc.ac.cy Thu Nov 24 05:48:47 2022 From: loizos at ouc.ac.cy (Loizos Michael) Date: Thu, 24 Nov 2022 10:48:47 +0000 Subject: Connectionists: Research Positions at OUC and CYENS, Cyprus (deadline: December 5th, 2022) Message-ID: <1669286926776.73923@ouc.ac.cy> Dear colleagues, The Computational Cognition Lab at Open University of Cyprus, and the Socially-Competent Robotic and Agent Technologies group at CYENS Center of Excellence are looking to recruit post-docs and research associates for ongoing and upcoming projects on topics related to: - cognitive computing, - personal assistants, - explainable and trustworthy AI, - machine learning / learning theory, - preference elicitation, - neural-symbolic integration, - conversational AI, - natural language understanding / generation, - formal argumentation, - knowledge-based systems. Relevant announcements: 1. https://www.ouc.ac.cy/images/files/hr/2022/WeNet_RISE_Researchers_Developers_Managers.pdf 2. https://www.cyens.org.cy/en-gb/vacancies/job-listings/research-associates/research-associates-for-the-socially-competent-ro/ Interested candidates should apply directly following the procedures in the two links above, by December 5th, 2022. Regards, Loizos -------------- next part -------------- An HTML attachment was scrubbed... URL: From malini.vinita.samarasinghe at ini.rub.de Fri Nov 25 04:38:05 2022 From: malini.vinita.samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Fri, 25 Nov 2022 10:38:05 +0100 Subject: Connectionists: Postdoc position - computational neuroscience - Cheng Lab Message-ID: *Postdoctoral Position in Computational Neuroscience at the Institute for Neural Computation, Faculty of Computer Science* Prof. Sen Cheng, Institute for Neural Computation, Faculty of Computer Science at the Ruhr University Bochum, invites applications for a full time (currently 39.83 hours/week) *Postdoctoral position (TV-L E13) in Computational Neuroscience. * The position starts as soon as possibleand is funded until 30.06.2025. *Job description* The position is part of the Collaborative Research Center ?Extinction Learning? (SFB 1280) and studies the principles underlying spatial learning and its extinction with reinforcement learning models. A particular focus is the role of episodic-like memory in learning and extinction processes. The research group is highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. For further information see www.rub.de/cns . *Your Profile: * Candidates must have * a doctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English * the ability to work well in a team. Research experience in neuroscience would be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts and research statement electronically, as a *single PDF file*, to samarasinghe at ini.rub.de . In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is December 31^st , 2022. Travel costs for interviews will not be reimbursed. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe, samarasinghe at ini.rub.de -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/73 Postfachnummer 110 Universit?tstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahar.moghimi at u-picardie.fr Fri Nov 25 11:32:26 2022 From: sahar.moghimi at u-picardie.fr (Sahar Moghimi) Date: Fri, 25 Nov 2022 17:32:26 +0100 Subject: Connectionists: 10th Autumn School on Multimodal Analysis of the Development of Brain Function Message-ID: <20221125173226.Horde.SP7Cc_LjvT99W5DUxuhLoJI@webmail.u-picardie.fr> GRAMFC-Inserm U1105 is organizing the 10th Autumn School on Multimodal Analysis of the Development of Brain Function on December 6th-9th at the Faculty of Medicine, Amiens, France. The program includes introductory courses on neuroimaging techniques and analysis of neural signals. You may find the program attached. This year we are honored to have invited speakers on very interesting topics Neonatal olfaction: performance, functions, and clinical applications, Beno?t Schaal, Dijon The link between language, music, and brain rhythms. Anne Kosem, Lyon A clinical tool to investigate language brain networks Anne Gallagher, Montr?al Area X is activated by Stimulus Y: how to interpret fNIRS results ? Some physiologic considerations and examples of studies in infants Hellmuth Obrig, Berlin You may join us in Amiens or follow the courses and invited talks online with free inscription to fabrice.wallois at u-picardie.fr For students in France, participation in this autumn school validates 4 ECTS. -------------- next part -------------- A non-text attachment was scrubbed... Name: Program Autumn school 2022.pdf Type: application/pdf Size: 600459 bytes Desc: not available URL: From pete at petelewis.com Fri Nov 25 18:11:01 2022 From: pete at petelewis.com (Pete Lewis) Date: Fri, 25 Nov 2022 18:11:01 -0500 Subject: Connectionists: PhD & Postdoc Opportunities in Accessible Explainable AI In-Reply-To: <809194e0-f6ae-ea8c-35fc-765c52a36f82@petelewis.com> References: <809194e0-f6ae-ea8c-35fc-765c52a36f82@petelewis.com> Message-ID: Dear all, The Trustworthy AI Lab at Ontario Tech University, in collaboration with the Canadian National Institute for the Blind (CNIB), is offering a funded PhD studentship and a Postdoctoral Research Fellow position in the area of accessible explainable artificial intelligence. The position will be supervised by Dr Peter Lewis, Canada Research Chair in Trustworthy AI at Ontario Tech and Dr Mahadeo Sukhai, VP Research and International Affairs & Chief Accessibility Officer at CNIB. The successful candidates will contribute to the 'Accessible Explainable Artificial Intelligence in Decision Making' project, which is funded by Accessibility Standards Canada?s Advancing Accessibility Standards Research Program. Candidates should have a background in computer science, artificial intelligence, cognitive science, human-computer interaction, or a related field, and be interested in the accessibility of AI technology and its implications for the sight loss community. We are looking for candidates with strong technical and writing skills, an interdisciplinary mindset, and a deep understanding and commitment to accessibility and equity. Working as part of the project team, the successful candidates will conduct research that explores ability bias in current AI technology and will contribute to the development of explainability techniques that that are accessible to persons with sight loss and other sensory disabilities. Engaging both the disability and technical communities in joint co-design sessions, the successful candidates will propose, prototype, and promote new best practice concerning how to remove systemic barriers in artificial intelligence. As a member of the Trustworthy AI Lab at Ontario Tech, you will join a thriving, collegiate, and interdisciplinary team of researchers. There will be substantial opportunity for collaboration including with companies and other research groups nationally and internationally. The successful candidate will be expected to play an active role in these activities, as well as for advancing the lab?s profile and its broader mission to help make the relationship between AI and society work better. Our primary focus within this is to develop new knowledge and understanding concerning how to build AI systems that can reflect on, expose, and enhance their trustworthiness to people. We aspire to be a collaborative, open-minded, inclusive, supportive, and fun environment for researchers to work and grow in, and we welcome applications from candidates who want to help us to advance this culture. We adopt a flexible approach to working remotely or from the lab, though we anticipate that at least some physical presence at the lab will be necessary, and international travel might be required in line with international research community norms. How to Apply: PhD Position: Candidates should apply to the PhD Computer Science program, mentioning this project, through the graduate admissions portal at https://gradstudies.ontariotechu.ca/grad_admin/graduate-admissions-portal.php Postdoctoral Position: Candidates should apply via the university's job portal at https://ontariotechu.csod.com/ux/ats/careersite/4/home/requisition/428?c=ontariotechu Candidates are also strongly encouraged to email Dr Peter Lewis (peter.lewis at ontariotechu.ca) in advance, for an informal discussion about the project. Ontario Tech University welcomes applications from all qualified candidates, while especially encouraging applications from women, members of visible minorities, Indigenous peoples, persons with disabilities, and persons of any sexual orientation, gender identity, and gender expression. Ontario Tech University respects people's different needs and therefore will take all reasonable steps to ensure accommodation for applicants where appropriate. The University is also committed to ensuring that confidentiality is maintained throughout all aspects of the recruitment cycle. If you require an accommodation to participate in the recruitment process, please get in touch with Peter Lewis (peter.lewis at ontariotechu.ca) or Mahadeo Sukhai (mahadeo.sukhai at cnib.ca). You are also welcome to contact the university?s Student Accessibility Services. The university acknowledges the lands and people of the Mississaugas of Scugog Island First Nation which is covered under the Williams Treaties. We are situated on the Traditional Territory of the Mississaugas, a branch of the greater Anishinaabeg Nation which includes Algonquin, Ojibway, Odawa and Pottawatomi. Cheers, Peter From david at irdta.eu Sat Nov 26 12:07:32 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 26 Nov 2022 18:07:32 +0100 (CET) Subject: Connectionists: DeepLearn 2023 Spring: early registration December 3 Message-ID: <578453507.3024395.1669482452975@webmail.strato.com> ****************************************************************** 9th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Spring Bari, Italy April 3-7, 2023 https://irdta.eu/deeplearn/2023sp/ *********** Co-organized by: Department of Computer Science University of Bari ?Aldo Moro? Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: December 3, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Spring 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? and Bournemouth. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting 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, bioinformatics, geographic information systems, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. 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. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. 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 2023 Spring 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 2023 Spring will take place in Bari, an important economic centre on the Adriatic Sea. The venue will be: University of Bari ?Aldo Moro? 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Vipin Kumar (University of Minnesota), Knowledge Guided Deep Learning: A Framework for Accelerating Scientific Discovery William S. Noble (University of Washington), Deep Learning Applications in Mass Spectrometry Proteomics and Single-Cell Genomics Emma Tolley (Swiss Federal Institute of Technology Lausanne), Physics-Informed Deep Learning PROFESSORS AND COURSES: (to be completed) Patrick Gallinari (Sorbonne University), [intermediate] Physics Aware Deep Learning for Modeling Dynamical Systems Sergei V. Gleyzer (University of Alabama), tba Jacob Goldberger (Bar-Ilan University), [introductory/intermediate] Latent Random Variables, Generative Models and Variational Autoencoders Christoph Lampert (Institute of Science and Technology Austria), [intermediate] Training with Fairness and Robustness Guarantees Yingbin Liang (Ohio State University), [intermediate/advanced] Bilevel Optimization and Applications in Deep Learning Xiaoming Liu (Michigan State University), [intermediate] Deep Learning for Trustworthy Biometrics Michael Mahoney (University of California Berkeley), [intermediate] Practical Neural Network Theory Liza Mijovic (University of Edinburgh), [introductory/intermediate] Deep Learning & the Higgs Boson: Classification with Fully Connected and Adversarial Networks Razvan Pascanu (DeepMind), [intermediate] Understanding Learning Dynamics in Deep Learning and Deep Reinforcement Learning Bhiksha Raj (Carnegie Mellon University), [introductory] An Introduction to Quantum Neural Networks [with Rita Singh and Daniel Justice] Bart ter Haar Romeny (Eindhoven University of Technology), [intermediate/advanced] Explainable AI from First Principles Tara Sainath (Google), [advanced] E2E Speech Recognition Martin Schultz (Research Centre J?lich), [introductory/intermediate] Deep Learning for Air Quality, Weather and Climate Hao Su (University of California San Diego), [intermediate/advanced] Neural Representation for 3D Capturing Adi Laurentiu Tarca (Wayne State University), [intermediate] Machine Learning for Cross-Sectional and Longitudinal Omics Studies Zhi Tian (George Mason University), [intermediate] Communication-Efficient and Robust Distributed Learning Michalis Vazirgiannis (Polytechnic Institute of Paris), [intermediate/advanced] Graph Machine Learning with GNNs and Applications Atlas Wang (University of Texas Austin), [intermediate] Sparse Neural Networks: From Practice to Theory Guo-Wei Wei (Michigan State University), [introductory/advanced] Discovering the Mechanisms of SARS-CoV-2 Evolution and Transmission Lei Xing (Stanford University), tba Xiaowei Xu (University of Arkansas Little Rock), [intermediate/advanced] Deep Learning Language Models and Causal Inference 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 March 26, 2023. 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 March 26, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company 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 March 26, 2023. ORGANIZING COMMITTEE: Donato Malerba (Bari, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023sp/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. 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 courses 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 will be available in due time at https://irdta.eu/deeplearn/2023sp/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: University of Bari ?Aldo Moro? Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From ckiw at inf.ed.ac.uk Sat Nov 26 03:15:06 2022 From: ckiw at inf.ed.ac.uk (Chris Williams) Date: Sat, 26 Nov 2022 08:15:06 +0000 (GMT) Subject: Connectionists: ML Lecturer/Reader (Asst/Assoc Prof), Informatics, U Edinburgh, 10 Jan deadline Message-ID: <484480a0-ac82-efc2-8bd4-b1e38b7dd5ad@inf.ed.ac.uk> Dear all, We welcome applications to the following machine learning faculty position: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/5911/ Deadline: 10 January 2023, 5pm UTC Applications are invited for an academic position in machine learning in the School of Informatics at the University of Edinburgh, as part of a continuing expansion in Machine Learning and Artificial Intelligence. The appointment will be full-time and open-ended. The successful candidate will have (or be near to completing) a PhD, an established research agenda and the enthusiasm and ability to undertake original research, and to lead a research group. They will show excellent teaching capability and engagement with academic supervision. We are seeking current and future leaders in the field. We seek candidates with research interests in the development of cutting-edge machine learning methods. Candidates will have a research interests in principled approaches to machine learning, machine learning for novel or critical applications, and/or the development of novel methods of wide applicability and with state-of-the-art capability. The Machine Learning group carries out research on principled models, algorithms and applications of machine learning. The University of Edinburgh is one of the five founding partners of the UK's Alan Turing Institute for Data Science and Artificial Intelligence; this gives rise to opportunities to interact with PhD students, research fellows and senior researchers within the Alan Turing Institute. In addition, the University is an active Unit in the European Laboratory for Learning and Intelligent Systems (ELLIS); these units are recognized centres of excellence in AI research across Europe. There are also ample opportunities within the University to enact collaborative activities with researchers in other areas of computer science, mathematics and statistics, and across the physical, social and biomedical sciences. Diversity and ethical issues in the machine learning domain are also of particular interest. The candidate's research focus might involve, for example (in no particular order and not exclusively): * theoretical foundations of learning representations * efficiency of methods and models, and data efficiency * transfer and small-data learning * generative deep learning, unsupervised deep learning and stochastic optimisation * scalable Bayesian methods * biological and biomedical applications * fairness and ethical application of ML * energy, climate and sustainability applications * finance, risk and decision-making Candidates should have a strong technical track record and be interested and able to teach undergraduate and master's level courses in areas such as AI, machine learning, deep learning and neural networks. Applicants must provide a recent CV, a research statement, and a teaching statement, which should specify the candidate's experience and approach to teaching, and what specialty and introductory (particularly undergraduate Informatics) courses they would be qualified to teach. We recognise that the pandemic may have affected some applicants disproportionately, and aim to take this into account in the selection process. Applicants can optionally include a short statement regarding how their work has been disrupted by Covid, and how this affects their recent track record. This statement should be part of the cover letter and shouldn't be more than a paragraph in length. Full details about the application procedure will be available soon through the University of Edinburgh jobs website www.ed.ac.uk/human-resources/jobs with vacancy reference 5911. 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 ten institutions in Europe for AI according to the CSRankings website csrankings.org, and the highest-ranked UK institution. Lecturer: UE08 - ??43,414 - ??51,805 Reader: UE09 - ??54,949 - ??61,823 Informal enquiries may be addressed to Prof Chris Williams (ckiw at inf.ed.ac.uk) or Prof Amos Storkey (a.storkey at ed.ac.uk). Dr Antonio Vergari (avergari at exseed.ed.ac.uk) will be attending the NeurIPS conference and is available for informal meetings there. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From maanakg at gmail.com Fri Nov 25 20:14:20 2022 From: maanakg at gmail.com (Maanak Gupta) Date: Fri, 25 Nov 2022 19:14:20 -0600 Subject: Connectionists: Call for Papers: ACM Workshop on Secure and Trustworthy Cyber-Physical Systems Message-ID: Dear Colleagues, Please consider submitting and/or forwarding to the appropriate groups/personnel the opportunity to submit to the ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS 2023), which will be held in Charlotte, NC, USA (or virtually) on April 26, 2023 in conjunction with the 13th ACM Conference on Data and Application Security and Privacy (CODASPY 2023). *** Paper submission deadline: December 29, 2022 *** *** Website: https://sites.google.com/view/sat-cps2023 *** SaT-CPS aims to represent a forum for researchers and practitioners from industry and academia interested in various areas of CPS security. SaT-CPS seeks novel submissions describing practical and theoretical solutions for cyber security challenges in CPS. Submissions can be from different application domains in CPS. Example topics of interest are given below, but are not limited to: - Secure CPS architectures - Authentication mechanisms for CPS - Access control for CPS - Key management in CPS - Attack detection for CPS - Threat modeling for CPS - Forensics for CPS - Intrusion and anomaly detection for CPS - Trusted-computing in CPS - Energy-efficient and secure CPS - Availability, recovery, and auditing for CPS - Distributed secure solutions for CPS - Metrics and risk assessment approaches - Privacy and trust - Blockchain for CPS security - Data security and privacy for CPS - Digital twins for CPS - Wireless sensor network security - CPS/IoT malware analysis - CPS/IoT firmware analysis - Economics of security and privacy - Securing CPS in medical devices/systems - Securing CPS in civil engineering systems/devices - Physical layer security for CPS - Security on heterogeneous CPS - Securing CPS in automotive systems - Securing CPS in aerospace systems - Usability security and privacy of CPS - Secure protocol design in CPS - Vulnerability analysis of CPS - Anonymization in CPS - Embedded systems security - Formal security methods in CPS - Industrial control system security - Securing Internet-of-Things - Securing smart agriculture and related domains The workshop is planned for one day, April 26, 2023, on the last day of the conference. Instructions for Paper Authors All submissions must describe original research, not published nor currently under review for another workshop, conference, or journal. All papers must be submitted electronically via the Easychair system: https://easychair.org/conferences/?conf=acmsatcps2023 Full-length papers Papers must be at most 10 pages in length in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template). Submission implies the willingness of at least one author to attend the workshop and present the paper. Accepted papers will be included in the ACM Digital Library. The presenter must register for the workshop before the deadline for author registration. Position papers and Work-in-progress papers We also invite short position papers and work-in-progress papers. Such papers can be of length up to 6 pages in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template), and must clearly state "Position Paper" or "Work in progress," as the case may be in the title section of the paper. These papers will be reviewed and accepted papers will be published in the conference proceedings. Important Dates Due date for full workshop submissions: December 29, 2022 Notification of acceptance to authors: February 9, 2023 Camera-ready of accepted papers: February 17, 2023 Workshop day: April 26, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From maanakg at gmail.com Fri Nov 25 20:15:17 2022 From: maanakg at gmail.com (Maanak Gupta) Date: Fri, 25 Nov 2022 19:15:17 -0600 Subject: Connectionists: Call for Papers: ACM Symposium on Access Control Models and Technologies Message-ID: ACM SACMAT 2023 June 7-9, 2023 - Trento, Italy http://www.sacmat.org ----------------------------------------------- The ACM Symposium on Access Control Models and Technologies (SACMAT) is the premier forum for the presentation of research results and experience reports on leading edge issues of access control, including models, systems, applications, and theory. The aims of the symposium are to share novel access control solutions that fulfill the needs of heterogeneous applications and environments, and to identify new directions for future research and development. SACMAT provides researchers and practitioners with a unique opportunity to share their perspectives with others interested in the various aspects of access control. Topics of Interest ============================================================== Submissions covering any relevant area of access control are welcomed. Areas include, but are not limited to, the following: * Authentication: ** Biometric-based Authentication ** Identity management ** Location-based Authentication ** Password-based Authentication ** Usable authentication * Data Security: ** Big data ** Data leakage prevention ** Data protection on untrusted infrastructure ** Databases and data management * Mechanisms: ** AI/ML Technologies ** Blockchain Technologies ** Cryptographic Technologies ** Economic models and game theory ** Hardware-security Technologies (e.g., Intel SGX, ARM TrustZone) ** Programming-language based Technologies ** Trust Management ** Usable mechanisms * Network: ** Corporate and Military-grade Networks ** Network systems (e.g., Software-defined network, Network function virtualization) ** Opportunistic Network (e.g., delay-tolerant network, P2P) ** Overlay Network ** Satellite Network ** Wireless and Cellular Networks * Policies and Models: ** Analysis of Models ** Analysis of policy languages ** Efficient enforcement of policies ** Extension of Models ** Extension of policy languages ** New Access Control Models ** Novel policy language design ** Policy engineering and policy mining ** Usable access control policy ** Verification of policy languages * Privacy and Privacy-enhancing Technologies: ** Access control and identity management with privacy ** Anonymous communication and censorship resistance ** Anonymous protocols (e.g., Tor) ** Attacks on Privacy and their defenses ** Cryptographic tools for privacy ** Data protection technologies ** Mixers and Mixnets ** Online social networks (OSN) * Systems: ** Autonomous systems (e.g., UAV security, autonomous vehicles, etc) ** Cloud systems and their security ** Cyber-physical and Embedded systems ** Design for resiliency ** Designing systems with zero-trust architectures ** Distributed systems ** Fog and Edge-computing systems ** IoT systems (e.g., home-automation systems) ** Mobile systems ** Operating systems ** WWW Call for Research Papers ============================================================== Papers offering novel research contributions are solicited for submission. Accepted papers will be presented at the symposium and published by the ACM in the symposium proceedings. We also encourage submissions to the "Work-in-progress Track" to present ideas that may have not been completely developed and experimentally evaluated. In addition to the regular research track, this year SACMAT will again host the special track ? "Blue Sky/Vision Track". Researchers are invited to submit papers describing promising new ideas and challenges of interest to the community as well as access control needs emerging from other fields. We are particularly looking for potentially disruptive and new ideas which can shape the research agenda for the next 10 years. Submission Cycles ------------------------- ACM SACMAT 2023 Regular and Work-in-progress Tracks will have two submission cycles. Authors submitting papers in the first submission cycle will have the opportunity to receive a major revision verdict in addition to the usual accept and reject verdicts. Authors can decide to prepare a revised version of the paper and submit it to the second submission cycle for consideration. Major revision papers will be reviewed by the program committee members based on the criteria set forward by them in the first submission cycle. Paper Submission and Format ------------------------- ** Regular Track Paper ** Papers must be written in English. Authors are required to use the ACM format for papers, using the two-column SIG Proceedings Template (the sigconf template for LaTex) available in the following link: https://www.acm.org/publications/authors/submissions The length of the paper in the proceedings format must not exceed twelve US letter pages formatted for 8.5" x 11" paper and be no more than 5MB in size. It is the responsibility of the authors to ensure that their submission will print easily on simple default configurations. The submission must be anonymous, so information that might identify the authors - including author names, affiliations, acknowledgements, or obvious self-citations - must be excluded. It is the authors' responsibility to ensure that their anonymity is preserved when citing their own work. Submissions should be made by the paper submission deadline to the EasyChair conference management system ( https://easychair.org/my/conference?conf=acmsacmat2023). When submitting papers, please pay attention to the submission cycle you are submitting in. All submissions must contain a significant original contribution. That is, submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal, conference, or workshop. In particular, simultaneous submission of the same work is not allowed. Wherever appropriate, relevant related work, including that of the authors, must be cited. Submissions that are not accepted as full papers may be invited to appear as short papers. At least one author from each accepted paper must register for the conference prior to the camera-ready deadline and is required to (physically) present it at the conference. ** Work-in-progress Track ** Authors are invited to submit papers in the newly introduced work-in-progress track. This track is introduced for (junior) authors, ideally Ph.D. and Master's students, to obtain early, constructive feedback on their work. Submissions in this track should follow the same format as for the regular track papers while limiting the total number of pages to six US letter pages. Paper submitted in this track should be anonymized and can be submitted by the same deadline as for the regular track to the EasyChair conference management system ( https://easychair.org/my/conference?conf=acmsacmat2023) ** Blue Sky Track ** All submissions to this track should be in the same format as for the regular track, but the length must not exceed ten US letter pages, and the submissions are not required to be anonymized (optional). Submissions to this track should be submitted by the same deadlines as the ones for the second cycle of the regular track to the EasyChair conference management system (https://easychair.org/my/conference?conf=acmsacmat2023). Other Calls ============================================================== Call for Demos ------------------------- A demonstration proposal should clearly describe (1) the overall architecture of the system or technology to be demonstrated, and (2) one or more demonstration scenarios that describe how the audience, interacting with the demonstration system or the demonstrator, will gain an understanding of the underlying technology. Submissions will be evaluated based on the motivation of the work behind the use of the system or technology to be demonstrated and its novelty. Demonstration proposals should be in the same format as for the regular track, but the length must not exceed four US letter pages, and the submission should not be anonymized. A two-page description of the demonstration will be included in the conference proceedings. Submissions are expected to be submitted through the EasyChair conference management system (https://easychair.org/my/conference?conf=acmsacmat2023) by the demo submission deadline. Call for Posters ------------------------- SACMAT 2023 will include a poster session to promote discussion of ongoing projects among researchers in the field of access control and computer security. Posters can cover preliminary or exploratory work with interesting ideas, or research projects in early stages with promising results in all aspects of access control and computer security. Authors interested in displaying a poster must submit a poster abstract in the same format as for the regular track, but the length must not exceed three US letter pages, and the submission should not be anonymized. Accepted poster abstracts will be included in the conference proceedings. Submissions are expected to be submitted through the EasyChair conference management system (https://easychair.org/my/conference?conf=acmsacmat2023) by the poster submission deadline. Financial Conflict of Interest (COI) Disclosure: ============================================================== In the interests of transparency and to help readers form their own judgments of potential bias, ACM SACMAT requires authors and PC members to declare any competing financial and/or non-financial interests in relation to the work described. Definition ------------------------- For the purposes of this policy, competing interests are defined as financial and non-financial interests that could directly undermine, or be perceived to undermine the objectivity, integrity, and value of a publication, through a potential influence on the judgments and actions of authors with regard to objective data presentation, analysis, and interpretation. Financial competing interests include any of the following: * Funding: Research support (including salaries, equipment, supplies, and other expenses) by organizations that may gain or lose financially through this publication. A specific role for the funding provider in the conceptualization, design, data collection, analysis, decision to publish, or preparation of the manuscript, should be disclosed. * Employment: Recent (while engaged in the research project), present or anticipated employment by any organization that may gain or lose financially through this publication. * Personal financial interests: Ownership or contractual interest in stocks or shares of companies that may gain or lose financially through publication; consultation fees or other forms of remuneration (including reimbursements for attending symposia) from organizations that may gain or lose financially; patents or patent applications (awarded or pending) filed by the authors or their institutions whose value may be affected by publication. For patents and patent applications, disclosure of the following information is requested: patent applicant (whether author or institution), name of the inventor(s), application number, the status of the application, specific aspect of manuscript covered in the patent application. It is difficult to specify a threshold at which a financial interest becomes significant, but note that many US universities require faculty members to disclose interests exceeding $10,000 or 5% equity in a company. Any such figure is necessarily arbitrary, so we offer as one possible practical alternative guideline: "Any undeclared competing financial interests that could embarrass you were they to become publicly known after your work was published." We do not consider diversified mutual funds or investment trusts to constitute a competing financial interest. Also, for employees in non-executive or leadership positions, we do not consider financial interest related to stocks or shares in their company to constitute a competing financial interest, as long as they are publishing under their company affiliation. * Non-financial competing interests: Non-financial competing interests can take different forms, including personal or professional relations with organizations and individuals. We would encourage authors and PC members to declare any unpaid roles or relationships that might have a bearing on the publication process. Examples of non-financial competing interests include (but are not limited to): ** Unpaid membership in a government or non-governmental organization ** Unpaid membership in an advocacy or lobbying organization ** Unpaid advisory position in a commercial organization ** Writing or consulting for an educational company ** Acting as an expert witness Conference Code of Conduct and Etiquette ============================================================== ACM SACMAT will follow the ACM Policy Against Harassment at ACM Activities. Please familiarize yourself with the ACM Policy Against Harassment (available at https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/ policy-against-discrimination-and-harassment) and guide to Reporting Unacceptable Behavior (available at https://www.acm.org/about-acm/reporting-unacceptable-behavior). AUTHORS TAKE NOTE ============================================================== The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) Important Dates ============================================================== Research Papers ------------------------- Note that: - Cycle 1 is only intended for Regular and Work-in-progress Tracks; - Cycle 2 is intended for Regular, Work-in-progress and Blue Sky Tracks. * Submission (Cycle 1): December 15, 2022 (11:59 pm AoE) * Submission (Cycle 2): February 17, 2023 (11:59 pm AoE) * Rebuttal (Cycle 1): Not provided * Rebuttal (Cycle 2): March 27-30, 2023 * Notification to Authors (Cycle 1): January 23, 2023 * Notification to Authors (Cycle 2): April 12, 2023 * Camera Ready: May 5, 2023 Demos and Posters ------------------------- * Submission: April 14, 2023 (11:59 pm AoE) * Notification to Authors: April 21, 2023 * Camera Ready: May 5, 2023 Event ------------------------- * Conference: June 7-9, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From stephan.petrone at gmail.com Sun Nov 27 06:47:05 2022 From: stephan.petrone at gmail.com (Stephan Petrone) Date: Sun, 27 Nov 2022 12:47:05 +0100 Subject: Connectionists: Advanced Methods for Anomalies Forecasting and Detection @ OLA 2023 Message-ID: Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. ******************************************************************** International Conference on Optimization and Learning OLA 2023, 3-5 May 2023, Malaga, Spain http://ola2023.sciencesconf.org/ SCOPUS Springer Proceedings SPECIAL SESSION IN: Advanced Methods for Anomalies Forecasting and Detection ******************************************************************** ** Submission deadline: 16 December 2022 ** The International Conference on Optimization and Learning ? OLA 2023 ? welcomes presentations that cover any aspects of optimization, machine learning and deep learning research. The Special Session "*Advanced Methods for Anomalies Forecasting and Detection*" is focused on the design and implementation of systems for the forecasting and detection of anomalous data in various fields, exploiting the power of Big Data and Artificial Intelligence, starting from images, textual data, log messages and space-time sequences. Topics of interest include (not limited to): - Big Data Analytics and Predictive Maintenance in Industry - Machine Learning and Deep Learning for Anomaly Detection - Computer Vision and Intelligent detection in video surveillance - Fake news and Computer Forensics for Deepfake - Anomalies of Pedestrian Flows, Evacuation Dynamics, and Crowd Prediction Systems - Anomalies in physical, biological systems, astrophysical and meteorological data - Disaster risk management and people safety - Fraud Detection, Financial Problems and Risk Management - Fault Detection and management of Industrial Control Systems - Intrusion Detection and Network Anomalies All the papers have to be submitted following the instructions indicated on the OLA 2023 website. The deadline for contribution paper submission is *December 16, 2022*. ** IMPORTANT DATES: paper submission: December 16, 2022 notification of acceptance: February 17, 2022 ** PAPER SUBMISSION: OLA 2023 accepts submissions in two different formats: 1) S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages 2) S2: Original research contributions of a maximum of 10 pages in Springer format A SCOPUS and DBLP indexed Springer book will be published for accepted long papers (S2 type contributions only). Special session papers are treated the same way as regular conference papers. For any information see the OLA 2023 website or contact one of the organizers. ** ORGANIZERS: Claudia Cavallaro, University of Catania, Italy (claudia.cavallaro unict.it) Vincenzo Cutello, University of Catania, Italy (cutello unict.it) Francesco Zito, University of Catania, Italy (francesco.zito phd.unict.it) -------------- next part -------------- An HTML attachment was scrubbed... URL: From vincentthunder2011 at gmail.com Mon Nov 28 01:37:51 2022 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Mon, 28 Nov 2022 14:37:51 +0800 Subject: Connectionists: IEEE Social Networks TC Invited Talk (Prof. Pan Hui) Message-ID: Dear All, IEEE TCSN is pleased to invite you for the invited talk on *"**The Hitchhiker?s Guide to the Metaverse**" by Prof. **Pan Hui* *on Nov. 29th 2022 from 10:00 AM Hong Kong Time (Nov. 28th 9pm EST).* This talk is an endeavor of IEEE TCSN focusing on enhancing the awareness of trending topics to the community. Title: *The Hitchhiker?s Guide to the Metaverse* Speaker: *Prof. Pan Hui *(IEEE Fellow, ACM Distinguished Scientist, International Fellow of the Royal Academy of Engineering, Academia Europaea member) Date: * 29 November 2022 (Tuesday)* Time: *10:00 AM HKT (UTC+08:00)* *(Check your local time here: **https://www.thetimezoneconverter.com/ )* *Zoom link: * *https://rebrand.ly/HitchhikerGuideToMetaverse * *Abstract*: We envision in the future the virtual world will mix and co-exist with the physical world in such an immersive way that we cannot tell what is real and what is virtual. We will live and interact with the virtual objects that are blended into our environments with advanced holographic technology or with high-quality head-mounted displays and lose the virtuality boundary. We call such a new reality Surreality. Our vision of ?metaverse? is a multi-world. There are multiple virtual worlds developed by different technology companies and there is also the Surreality where real and virtual merged. While the metaverse may seem futuristic, catalysed by emerging technologies such as Extended Reality, 5G, and Artificial Intelligence, the digital ?big bang? of our cyberspace is not far away. This talk aims to offer a comprehensive framework that examines the latest metaverse development under the dimensions of state-of-the-art technologies and metaverse ecosystems, illustrates the possibility of the digital ?big bang?, and proposes a concrete research agenda for the development of the metaverse. *Speaker Bio: * Pan Hui is a Chair Professor of Computational Media and Arts and Director of the Center for Metaverse and Computational Creativity at the Hong Kong University of Science and Technology (Guangzhou), and a Chair Professor of Emerging Interdisciplinary Areas at the Hong Kong University of Science and Technology. He is also the Nokia Chair in Data Science at the University of Helsinki. He received his PhD from the Computer Laboratory at University of Cambridge, and both his Bachelor and MPhil degrees from the University of Hong Kong. He was an adjunct Professor of social computing and networking at Aalto University, Finland, and a Distinguished Scientist at the Deutsche Telekom Laboratories (T-labs), Germany. His industrial profile also includes his research at Intel Research Cambridge, UK and Thomson Research Paris, France. Pan Hui is an expert in Augmented Reality and Mobile Computing, with more than 400 research papers, 30 patents, and over 24,000 citations. He is an International Fellow of the Royal Academy of Engineering, a member of Academia Europaea, an IEEE Fellow, and an ACM Distinguished Scientist. We look forward to your participation. [image: Prof. Pan Hui_13_plain.jpg] -------------- next part -------------- An HTML attachment was scrubbed... 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Name: Prof. Pan Hui_13_plain.jpg Type: image/jpeg Size: 586390 bytes Desc: not available URL: From davrot at neuro.uni-bremen.de Mon Nov 28 11:18:33 2022 From: davrot at neuro.uni-bremen.de (David Rotermund) Date: Mon, 28 Nov 2022 17:18:33 +0100 Subject: Connectionists: PhD / PostDoc positions in the area of machine learning with spiking neurons Message-ID: The Computational Neuroscience group at the University of Bremen headed by Prof. Dr. Klaus Pawelzik offers - under the condition of job release - at the earliest possible date a position until February 28, 2025 *Research Assistant /Postdoc in Computational Neuroscience (f/m/d)* German federal pay scale E13 TV-L (100 %) for the research project *Efficient Implementation of Spike-by-Spike Neural Networks using Stochastic and ApproximativeTechniques* The overarching goal of our project is to improve the efficiency of spiking artificial neural networks using hardware and algorithmic approximation techniques. Specifically, the project focuses on Spike-by-Spike networks since they offer a balance between computational requirements and biological realism which keeps the advantages of the biological networks while enabling a compact technical realization. To fully take advantage of the unique features of SbS in terms of robustness and sparseness, dedicated hardware architectures are required. You would join in with numerical simulations, theoretical analyses, as well as through the development of new ideas and approaches for boosting the performance and capabilities of the Spike-By-Spike model. Furthermore, you would also work on combining Spike-By-Spike networks with non spiking deep neuronal networks into hybrid models. Details can be found at https://www.neuro.uni-bremen.de/drupal/open-position-sbs *Requirements:* Ideal candidates have a master's or doctorate degree in Computational Neurosciences, Physics, Computer Sciences or in related fields. They must have a strong background in mathematics, programming (preferably in Python/Matlab), and machine learning as well as an intense interest in neuroscience. An optimal candidate should not be afraid of cooperating with engineers, since this is a joint project with a focus on hardware development. Above all, he/she must have a strong motivation, a sense for responsibility, a distinct desire to learn, and the ability to proactively collaborate in an international research environment. Fluency in English is required (both written and spoken). The Theoretical Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. The university is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In case of equal personal aptitudes and qualification priority will be given to disabled persons. Please explicitly address each of the specified requirements in the application. Detailed instructions are described below. Please send your application documents (motivation letter, CV, copy of your degree certificates including high school, list of skills, awards, publications, contact details of two academic reference) until December 9th, 2022 by indicating the job id A326/22 to: University of Bremen FB1 Theoretical Neurophysics lab Secretary of Prof. Dr. Klaus Pawelzik Mrs Agnes Jan?en Hochschulring 18, Cognium D-28359 Bremen Tel.: +49 421 218 62000 in electronic form in a summarized PDF file via e-mail: ajanssen at neuro.uni-bremen.de. For questions of the research project please contact: Prof. Dr. Klaus Pawelzik, E-Mail: pawelzik at neuro.uni-bremen.de See also for general information on this topic: http://www.neuro.uni-bremen.de/content/open-position-sbs _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1-2 page essay should reply the following questions: ? What is your background? In which fields have you worked before and how do you think this can be useful for the present job? ? What attracts you to the field of computational neuroscience? ? Which problem(s) in computational neuroscience are you most interested in? ? What is your motivation to join our project? ? What are your plans for your future career? * * ** *Curriculum Vitae* Send a classical tabular CV with your contact details, and all stages of education and employment. *List of skills, awards, publications* List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some. *Contact details of two academic references* One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted. Your application can be in English or German, whatever language you are more familiar with. -- *Dr. David Rotermund* *University of Bremen* Institute for Theoretical Physics Faculty 01 Physics/Electrical Engineering Hochschulring 18, D-28359 Bremen Cognium, room 2450 Tel. +49 421 218-62003 Fax +49 421 218-62014 davrot at neuro.uni-bremen.de www.neuro.uni-bremen.de www.isee.uni-bremen.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From davrot at neuro.uni-bremen.de Tue Nov 29 05:37:09 2022 From: davrot at neuro.uni-bremen.de (David Rotermund) Date: Tue, 29 Nov 2022 11:37:09 +0100 Subject: Connectionists: PhD positions in the area of intracortical visual prostheses Message-ID: <72e26a61-844d-29e8-299d-9c926e056816@neuro.uni-bremen.de> The Computational Neurophysics lab at the University of Bremen headed by Dr. Udo Ernst offers - under the condition of job release - at the earliest possible date a position until 30.09.2024: *Research Assistant in Computational Neuroscience (f/m/d)* German federal pay scale E13 TV-L (65 %) for the research project *I-See2 - Improving Intracortical Visual Prostheses Using Complex Coding and Spontaneous Activation States* The lives of many individuals are strongly impaired by missing the sense of vision. One putative option to help them are cortical prostheses. Such devices record images from our environment, encode this information into the 'language' of the brain, and stimulate neuron populations in the visual system for creating a corresponding percept. I-See2 (www.isee.uni-bremen.de) investigates new principles for building cortical prostheses in an international group with researchers from Canada, Switzerland and Germany. Your position will be at the heart of the project in Bremen, where computational methods are developed and data from our partner labs comes together. You will perform modelling of visual information processing, analysis of data from electrophysiological multielectrode recordings and optical voltage imaging, and be involved in model-driven visual stimulus generation for animal and human experiments. The position comes with direct supervision by the principal investigators and project coordinators Dr. David Rotermund and Dr. Udo Ernst. *Requirements:* Ideal candidates have a master's degree in Computational Neurosciences, Physics, Computer Sciences or in related fields. They must have a strong background in neural networks, dynamical systems, mathematics and/or data analysis, and be experienced in programming (preferably in Python/Matlab). Above all, they must have a strong motivation, a sense for responsibility, a distinct desire to learn, and the ability to proactively collaborate in an international research environment. Fluency in English is required (both written and spoken). The Computational Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. The university is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In case of equal personal aptitudes and qualification priority will be given to disabled persons. Please explicitly address each of the specified requirements in the application. Detailed instructions are described below. Please send your application documents (motivation letter, CV, copy of your degree certificates including high school, list of skills, awards, publications, contact details of two academic reference) until December 9th, 2022 by indicating the job id A325/22 to: University of Bremen FB1 Computational Neurophysics lab Secretary of Dr. Udo Ernst Mrs Agnes Jan?en Hochschulring 18, Cognium D-28359 Bremen Tel.: +49 421 218 62000 or in electronic form in a summarized PDF file via e-mail: ajanssen at neuro.uni-bremen.de. For questions of the research project please contact: Dr. Udo Ernst, E-Mail: udo at neuro.uni-bremen.de See also for general information on this topic: http://www.isee.uni-bremen.de _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1-2 page essay should reply the following questions: ? What is your background? In which fields have you worked before and how do you think this can be useful for the present job? ? What attracts you to the field of computational neuroscience? ? Which problem(s) in computational neuroscience are you most interested in? ? What is your motivation to join our project? ? What are your plans for your future career? *Curriculum Vitae* Send a classical tabular CV with your contact details, and all stages of education and employment. *List of skills, awards, publications* List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some. *Contact details of two academic references* One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted. Your application can be in English or German, whatever language you are more familiar with. -- *Dr. David Rotermund* *University of Bremen* Institute for Theoretical Physics Faculty 01 Physics/Electrical Engineering Hochschulring 18, D-28359 Bremen Cognium, room 2450 Tel. +49 421 218-62003 Fax +49 421 218-62014 davrot at neuro.uni-bremen.de www.neuro.uni-bremen.de www.isee.uni-bremen.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From papaleon at sch.gr Tue Nov 29 09:41:32 2022 From: papaleon at sch.gr (Papaleonidas Antonios) Date: Tue, 29 Nov 2022 16:41:32 +0200 Subject: Connectionists: =?iso-8859-1?q?19th_AIAI_2023_Hybrid_=40_Web_=26_?= =?iso-8859-1?q?Le=F3n=2C_Spain_-_Call_for_Papers?= References: Message-ID: <524901d90400$ace10740$06a315c0$@sch.gr> 19th AIAI 2023, 14 - 17 June 2023 Artificial Intelligence Applications and Innovations Hybrid @ Web & Le?n, Spain CALL FOR PAPERS for 19th AIAI 2023 Hybrid @ Web & Le?n, Spain Dear colleagues We would like to invite you to submit your work at the 19th International Conference on Artificial Intelligence Applications and Innovations ( AIAI2023) 19th International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, is technically sponsored by IFIP Artificial Intelligence Applications WG12.5. It is going to be co-organized as a Joint event with 24th Conference on Engineering Applications and Advances of Artificial Intelligence EAAAI 2023, (ex EANN series), which is technically sponsored by the INNS (International Neural Network Society). www.ifipaiai.org SPECIAL ISSUES & PROCEEDINGS: Selected papers will be published in high quality international scientific Journals. Journal list will be completed soon. More info can be found at https://ifipaiai.org/2023/special-issues/ Proceedings will be published SPRINGER IFIP AICT Series and they are INDEXED BY SCOPUS, DBLP, Google Scholar, ACM Digital Library, IO-Port, MAthSciNet, CPCI, Zentralblatt MATH and EI Engineering Index Papers submissions will be up to 12 pages long and not less than 6 pages. BIBLIOMETRIC DETAILS: We proudly announce that according to Springer?s statistics, the last 16 AIAI conferences have been downloaded 2,030,000 times! IFIP AIAI series has reached h-index of 32 and published papers have been Cited more than 7700 times! For more Bibliometric Details please click AIAI BIBLIOMETRIC DETAILS IMPORTANT DATES: * Workshops & Special Sessions proposals deadline: 15th of January 2023 * Paper Submission Deadline: 26th of February 2023 * Notification of Acceptance: 26th of March 2023 * Camera ready Submission: 17th of April 2023 * Early / Authors Registration Deadline: 17th of April 2023 * Conference: 14 - 17 of June 2023 KEYNOTE SPEAKERS: So far, two Plenary Lectures have been announced, both by distinguished Professors with an important imprint in AI and Machine Learning. * Professor Yaochu Jin Bielefeld University, Germany and Distinguished Chair, University of Surrey Title: Evolutionary Neural Architecture Search: Computational Efficiency, Privacy Preservation and Robustness Enhancement. Visit Google Scholar profile, h-index: 93 * Professor Plamen Angelov Lancaster University, UK Title: TBA Visit Google Scholar profile, h-index: 61 More info can be found at https://ifipaiai.org/2023/keynote-speakers/ WORKSHOPS & SPECIAL SESSIONS: So far, the following high-quality Workshops have been accepted and scheduled: * Visual Analytics Approaches for Complex Problems in Engineering and Biomedicine (VAA-CP-EB) * Anomaly Detection in Unstructured Data (ADUD) For Workshop & Special Session proposals please contact with Prof. Lazaros Iliadis at liliadis at civil.duth.gr VENUE: All conference activities will take place at: School of Industrial, Computer Science and Aerospace Engineering, University of Le?n, Spain Escuela de Ingenier?as Industrial, Inform?tica y Aeroespacial, Universidad de Le?n, Espa?a For details please see: https://ifipaiai.org/2023/venue/ Conference topics, CFPs, Submissions & Registration details can be found at: * ifipaiai.org/2023/calls-for-papers/ * ifipaiai.org/2023/paper-submission/ * ifipaiai.org/2023/registration/ We are expecting Submissions on all topics related to Artificial and Computational Intelligence and their Applications. Detailed Guidelines on the Topics and the submission details can be found at the links above General co-Chairs: * Ilias Maglogiannis, University of Piraeus, Greece * John Macintyre, University of Sunderland, United Kingdom * Manuel Dom?nguez, Universidad de Le?n, Spain Program co-Chairs: * Lazaros Iliadis, School of Engineering, Democritus University of Thrace, Greece * Serafin Alonso Castro, Universidad de Le?n, Spain Organizing co-Chairs: * Antonios Papaleonidas, School of Engineering, Democritus University of Thrace, Greece * Antonio Moran, Universidad de Le?n, Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Tue Nov 29 10:01:45 2022 From: jkrichma at uci.edu (Jeffrey L Krichmar) Date: Tue, 29 Nov 2022 10:01:45 -0500 Subject: Connectionists: New book on Neurorobotics Message-ID: <1A2E2387-9FD8-4582-A7E8-09EE93087485@uci.edu> Dear Connectionists, Our book on Neurorobotics is now published. Please pick up a copy :) Happy reading! Jeff ----------- Neurorobotics: Connecting the Brain, Body, And Environment, The MIT Press. Authors: Tiffany J. Hwu and Jeffrey L. Krichmar Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots?autonomous systems modeled after some aspect of the brain?offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science. Neurorobotics covers the background and foundations of the field, with information on early neurorobots, relevant principles of neuroscience, learning rules and mechanisms, and reinforcement learning and prediction; neurorobot design principles grounded in neuroscience and principles of neuroscience research; and examples of neurorobots for navigation, developmental robotics, and social robots, presented with the cognitive science and neuroscience background that inspired them. A supplementary website offers videos, robot simulations, and links to software repositories with neurorobot examples. Tiffany J. Hwu is a research scientist working on projects in autonomous agents and human-machine communication. Jeffrey L. Krichmar is a Professor in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine, where he teaches courses in artificial intelligence, cognitive robotics, and computational neuroscience. https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/ --------- 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Wed Nov 30 05:59:01 2022 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Wed, 30 Nov 2022 10:59:01 +0000 Subject: Connectionists: Two Postdocs in Robotics / Human Robot Interaction (University of Manchester, UK) Message-ID: <52639742-164A-472B-94F8-87E2BA327B64@manchester.ac.uk> Postdoctoral Research Fellows in Robotics / Human Robot Interaction (2 posts) Cognitive Robotics Lab University of Manchester UK Two Research Fellows in Robotics / Human Robot Interaction are required for a period of 12 months each to work on the UKRI/EPSRC project ?Trustworthy Autonomous Systems Node on Trust?. This is a collaborative project of the University of Manchester?s Cognitive Robotics Lab with Heriot-Watt University Edinburgh and Imperial College London. The candidates will carry out research on robot cognitive architectures for theory of mind and trust, using a combination of machine learning and robotics methodologies, and/or human-robot interaction for trust. A PhD in Computer Science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential, as well as robotics and/or machine learning and/or human-robot interaction skills. The research fellows will be working collaboratively as part of the Cognitive Robotics Lab at the Department of Computer Science at the University of Manchester under the supervision of Professor Angelo Cangelosi. Close collaboration with the other project partners will also be required. Expected start date of the post is 1 April 2023. Closing date for applications is 14 December 2022. See below for link to the advert and application form. https://www.jobs.manchester.ac.uk/displayjob.aspx?isPreview=Yes&jobid=24069&advert=external Angelo Cangelosi Professor of Machine Learning and Robotics Manchester Centre for Robotics and AI University of Manchester angelo.cangelosi at manchester.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Nov 30 06:01:33 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 30 Nov 2022 13:01:33 +0200 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Dr=2E_Laura_L?= =?utf-8?q?eal-Taix=C3=A9=3A_=22From_Handcrafted_to_End-to-End_Lear?= =?utf-8?q?ning=2C_and_Back=3A_a_Journey_for_Multi-Object_Tracking?= =?utf-8?q?=22=2C_December_2nd=2C_2022_14=2E15/14=2E30_-16=3A00_CET?= References: <141c01d8c8cf$64468bc0$2cd3a340$@csd.auth.gr> <00e301d8c9b4$b9e74f70$2db5ee50$@csd.auth.gr> <01bb01d8d3c7$e30ad440$a9207cc0$@csd.auth.gr> <004301d8d3df$32189830$9649c890$@csd.auth.gr> <01f801d90491$e300a6a0$a901f3e0$@csd.auth.gr> <005601d9049a$e6235450$b269fcf0$@csd.auth.gr> Message-ID: <01ad01d904ab$1c76d990$55648cb0$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Dr. Laura Leal-Taix?, a prominent AI researcher internationally, will deliver the e-lecture: ?From Handcrafted to End-to-End Learning, and Back: a Journey for Multi-Object Tracking?, on December 2nd, 2022 14.15/14.30 -16:00 CET, see details in: http://www.i-aida.org/ai-lectures/ This lecture is delivered through University of Modena and Reggio Emilia in cooperation with AIDA. You can join for free using the zoom link: link Attendance is free. The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation, is very pleased to offer you top quality scientific lectures 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) Other upcoming lecture: Dr. Silvia Zuffi: ?3D Computer Vision for Animals?, December 15th, 2022 14.15/14.30 -16:00 CET. More lecture infos in: https://www.i-aida.org/events/3d-computer-vision-for-animals/ 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. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe, J. Stefanowski -------------- next part -------------- An HTML attachment was scrubbed... URL: From e.neftci at fz-juelich.de Wed Nov 30 07:13:23 2022 From: e.neftci at fz-juelich.de (Emre Neftci) Date: Wed, 30 Nov 2022 13:13:23 +0100 Subject: Connectionists: Call for 2023 Telluride Neuromorphic Cognition Engineering Workshop Topic Area Proposals Message-ID: Dear All, The Neuromorphic Workshop Organizers are soliciting topic area proposals for the 2023 Telluride Neuromorphic Cognition Engineering Workshop (http://tellurideneuromorphic.org/) which will run from June 25?July 15, 2023. Details of the call can be found here: https://docs.google.com/document/d/1RyQmjQwMeN0GpNs7C23ib0L7uqWm-m5zf9ptn93UDJo/edit#heading=h.1qjv4p9rriyg Important upcoming dates: - Jan 9. 2023: Proposer's Day (5PM CET / 9AM USA Mountain Time). We will answer questions from prospective proposers about the topic area organization. - Jan 21. 2023: Deadline for Topic Area Proposals. Emre Neftci on behalf of The 2023 Telluride Organizing Team -- Prof. Dr. Emre Neftci Head of Peter Gr?nberg Institute 15 - Neuromorphic Software Ecosystems Forschungszentrum J?lich www.fz-juelich.de/pgi/PGI-15 www.nmi-lab.org ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ From EPNSugan at ntu.edu.sg Wed Nov 30 23:30:31 2022 From: EPNSugan at ntu.edu.sg (Ponnuthurai Nagaratnam Suganthan) Date: Thu, 1 Dec 2022 04:30:31 +0000 Subject: Connectionists: Postdoctoral Fellowship Opportunity in Smart Systems Message-ID: Postdoctoral Fellowship Opportunity (Smart Systems, 2 years) Applications are called for a postdoctoral fellowship opportunity in the areas of machine/deep learning preferably with applications in the areas of smart systems such as smart grids, smart homes, energy efficiency, etc. Applicant is expected to hold a PhD degree by April 2023 with strong high quality publication record in the relevant areas. Applicant is expected to prepare a detailed proposal (2-3 pages long) addressing the following: research domain, research questions, research methodologies, anticipated results, their impact, etc. Applicant should also attach a detailed CV with the Google Scholar profile. The proposal will be evaluated by an expert panel of reviewers. For queries, please email Dr. P. N. Suganthan at p.n.suganthan at qu.edu.qa (Qatar University). Deadline: 20 Dec 2022. Google Scholar: https://scholar.google.com.sg/citations?hl=en&user=yZNzBU0AAAAJ&pagesize=100&view_op=list_works&sortby=pubdate ________________________________ 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 dwang at cse.ohio-state.edu Wed Nov 30 14:09:11 2022 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Wed, 30 Nov 2022 19:09:11 +0000 Subject: Connectionists: NEURAL NETWORKS, Dec. 2022 Message-ID: Neural Networks - Volume 156, December 2022 https://www.journals.elsevier.com/neural-networks Synchronization of multi-cluster complex networks Tianping Chen EEG decoding method based on multi-feature information fusion for spinal cord injury Fangzhou Xu, Jincheng Li, Gege Dong, Jianfei Li, ... Jiancai Leng A leader-following paradigm based deep reinforcement learning method for multi-agent cooperation games Feiye Zhang, Qingyu Yang, Dou An DEFEAT: Decoupled feature attack across deep neural networks Lifeng Huang, Chengying Gao, Ning Liu Switching pinning control for memristive neural networks system with Markovian switching topologies Ning Li, Wei Xing Zheng Label smoothing and task-adaptive loss function based on prototype network for few-shot learning Farong Gao, Xingsheng Luo, Zhangyi Yang, Qizhong Zhang MG-CNN: A deep CNN to predict saddle points of matrix games Dawen Wu, Abdel Lisser Not all edges are peers: Accurate structure-aware graph pooling networks Hualei Yu, Jinliang Yuan, Yirong Yao, Chongjun Wang BAT: Block and token self-attention for speech emotion recognition Jianjun Lei, Xiangwei Zhu, Ying Wang Robust image hashing for content identification through contrastive self-supervised learning Jes?s Fonseca-Bustos, Kelsey Alejandra Ram?rez-Guti?rrez, Claudia Feregrino-Uribe 3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision Shubhajit Basak, Peter Corcoran, Rachel McDonnell, Michael Schukat Surface similarity parameter: A new machine learning loss metric for oscillatory spatio-temporal data Mathies Wedler, Merten Stender, Marco Klein, Svenja Ehlers, Norbert Hoffmann Neural network-based event-triggered data-driven control of disturbed nonlinear systems with quantized input Xianming Wang, Hamid Reza Karimi, Mouquan Shen, Dan Liu, ... Jiantao Shi Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou One-shot many-to-many facial reenactment using Bi-Layer Graph Convolutional Networks Uzair Saeed, Ammar Armghan, Wang Quanyu, Fayadh Alenezi, ... Prayag Tiwari Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding Mohan Timilsina, V?t Nov??ek, Mathieu d?Aquin, Haixuan Yang Feature extraction framework based on contrastive learning with adaptive positive and negative samples Hongjie Zhang, Siyu Zhao, Wenwen Qiang, Yingyi Chen, Ling Jing Event-triggered H_infinity consensus for uncertain nonlinear systems using integral sliding mode based adaptive dynamic programming Zitao Chen, Kairui Chen, Si-Zhe Chen, Yun Zhang Adaptive graph convolutional clustering network with optimal probabilistic graph Jiayi Zhao, Jipeng Guo, Yanfeng Sun, Junbin Gao, ... Baocai Yin Time series (re)sampling using Generative Adversarial Networks Christian M. Dahl, Emil N. S?rensen Perturbation of deep autoencoder weights for model compression and classification of tabular data Sakib Abrar, Manar D. Samad Lag H_infinity synchronization in coupled reaction?diffusion neural networks with multiple state or derivative couplings Lu Wang, Yougang Bian, Zhenyuan Guo, Manjiang Hu Extraction of bouton-like structures from neuropil calcium imaging data Kazushi Fukumasu, Akinao Nose, Hiroshi Kohsaka -------------- next part -------------- An HTML attachment was scrubbed... URL: From phitzler at googlemail.com Wed Nov 30 20:57:04 2022 From: phitzler at googlemail.com (Pascal Hitzler) Date: Wed, 30 Nov 2022 19:57:04 -0600 Subject: Connectionists: neurosymbolic AI community slack In-Reply-To: <70072986-46b8-071b-1c83-a1590229d01a@googlemail.com> References: <70072986-46b8-071b-1c83-a1590229d01a@googlemail.com> Message-ID: <05e4db52-b455-7cf5-fd85-c767d8fe1a6d@googlemail.com> We're starting a community slack on all things Neurosymbolic AI. It's currently aligned with people involved with the annual NeSy workshop (https://sites.google.com/view/nesy2023) and the forthcoming Neurosymbolic Artificial Intelligence journal (https://www.iospress.com/catalog/journals/neurosymbolic-artificial-intelligence) - but we understand the scope of the slack to be much wider. If you'd like to join the slack, ask anybody who's on it (e.g., me - email to hitzler at ksu.edu) to add you. Pascal. -- Pascal Hitzler Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science Kansas State University http://www.pascal-hitzler.de http://www.daselab.org http://www.semantic-web-journal.net