From j.stovold at lancaster.ac.uk Sat Jul 1 04:43:41 2023 From: j.stovold at lancaster.ac.uk (Stovold, James) Date: Sat, 1 Jul 2023 08:43:41 +0000 Subject: Connectionists: Job Opening: Assistant Professor in Data Science Message-ID: <9212B04A-3D7D-4E0D-AB97-E0F78284E14D@lancaster.ac.uk> Usual apologies for cross-posting. We have two new Assistant Professor positions available at Lancaster University Leipzig, one with a focus on data science, one focussed on cyber security. Lancaster University Leipzig is a young branch campus of Lancaster University, based in Leipzig Germany; we are small enough to have a good close-knit group of academics, but with strong connections to Lancaster University which is a well-established research-intensive university. The department is focussed on intelligent systems, including topics such as emergent behaviour, unconventional computing, quantum software engineering, and robotics. These are grade 8 openings, so we would expect to see a research plan and teaching experience from interested applicants (grade 7 is the typical entry-level asst. prof. level). For informal discussion, please feel free to email either me (j.stovold at lancaster.ac.uk), the HoD (f.papacchini at lancaster.ac.uk) or the Dean (c.blome at lancaster.ac.uk). I will also be at the ALIFE conference in Sapporo if anybody wishes to speak in person. Official job posts available here: * Data Science: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0721-23 * Cyber Security: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0722-23 James Dr James Stovold Assistant Professor in Computer Science School of Computing and Communications j.stovold at lancaster.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Jul 1 03:19:13 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 1 Jul 2023 09:19:13 +0200 (CEST) Subject: Connectionists: BigDat 2023 Summer: regular registration July 14 Message-ID: <875776535.1481405.1688195953793@webmail.strato.com> *********************************************** 7th INTERNATIONAL SCHOOL ON BIG DATA BigDat 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://bigdat.irdta.eu/2023su *********************************************** Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice - IRDTA Brussels/London *********************************************** Regular registration: July 14, 2023 *********************************************** FRAMEWORK: BigDat 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of DeepLearn 2023 Summer. BigDat 2023 Summer participants will have the opportunity to attend lectures in the program of DeepLearn 2023 Summer as well if they are interested. SCOPE: BigDat 2023 Summer 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 big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona. Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, health, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience. Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, analytics, security and privacy, as well as applications to biology and medicine, business, finance, transportation, online social networks, etc. Major challenges of analytics, management and storage of big data will be identified through 14 four-hour and a half courses, 1 keynote lecture and 1 round table, 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 employment 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, BigDat 2023 Summer 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: BigDat 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/ STRUCTURE: 2 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. Also, if interested, participants will be able to attend courses developed in DeepLearn 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKER: Sander Klous (University of Amsterdam), How to Audit an Analysis on a Federative Data Exchange PROFESSORS AND COURSES: Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data Marcelo Bertalm?o (Spanish National Research Council), [introductory] The Standard Model of Vision and Its Limitations: Implications for Imaging, Vision Science and Artificial Neural Networks Gianluca Bontempi (Universit? Libre de Bruxelles), [intermediate/advanced] Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference Altan ?akir (Istanbul Technical University), [introductory/intermediate] Introduction to Big Data with Apache Spark Ian Fisk (Flatiron Institute), [introductory] Setting Up a Facility for Data Intensive Science Analysis Ravi Kumar (Google), [intermediate/advanced] Differential Privacy Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences Jos? M.F. Moura (Carnegie Mellon University), [introductory/intermediate] Graph Signal Processing and Geometric Learning Panos Pardalos (University of Florida), [intermediate/advanced] Data Analytics for Massive Networks Ramesh Sharda (Oklahoma State University), [introductory/intermediate] Network-Based Health Analytics Steven Skiena (Stony Brook University), [introductory/intermediate] Word and Graph Embeddings for Machine Learning Mayte Suarez-Farinas (Icahn School of Medicine at Mount Sinai), [intermediate] Meta-Analysis Methods for High-Dimensional Data Ana Trisovic (Harvard University), [introductory/advanced] Principles, Statistical and Computational Tools for Reproducible Data Science Sebasti?n Ventura (University of C?rdoba), [intermediate] Supervised Descriptive Pattern Mining OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 9, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in big data 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 organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023. ORGANIZING COMMITTEE: Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria) Marisol Izquierdo (Las Palmas de Gran Canaria, 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://bigdat.irdta.eu/2023su/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 as well as eventually courses in DeepLearn 2023 Summer. 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://bigdat.irdta.eu/2023su/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: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria - Fundaci?n Parque Cient?fico Tecnol?gico Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? 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URL: From boubchir at ai.univ-paris8.fr Sat Jul 1 05:24:27 2023 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Sat, 1 Jul 2023 11:24:27 +0200 Subject: Connectionists: [CfP] The 4th international workshop on Machine Learning for EEG Signal Processing (MLESP) In-Reply-To: <6de3ecca-1388-efd2-8ff8-c9da76527002@ai.univ-paris8.fr> References: <6de3ecca-1388-efd2-8ff8-c9da76527002@ai.univ-paris8.fr> Message-ID: <4f76062e-9eb4-f9a0-35e3-f9497e5835d1@ai.univ-paris8.fr> [Apologies for multiple postings] *CALL FOR PAPERS * The 4th international workshop on Machine Learning for EEG Signal Processing (MLESP 2023, https://mlesp2023.sciencesconf.org/ ) will be held in Istanbul, Turkey, from 5 to 8 December 2023, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023, https://ieeebibm.org/BIBM2023 ) * * *Overview* EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought impressive progress in solving several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI, and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss recent advances. * * *The topics of interest include but are not limited to: * - EEG signal processing and analysis - Time-frequency EEG signal analysis - Signal processing for EEG Data - EEG feature extraction and selection - Machine learning for EEG signal processing - EEG classification and Hierarchical clustering - EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.) - Machine learning in EEG Big Data - Deep Learning for EEG Big Data - Neural Rehabilitation Engineering - Brain-Computer Interface - Neurofeedback - EEG-based Biometrics - Related applications * * *Important Dates * *Oct. 10, 2023*(11:59 pm CST):Due date for full workshop papers submission Nov. 5, 2023: Notification of paper acceptance to authors Nov. 21, 2023: Camera-ready of accepted papers Dec 5-8, 2023: Workshops *Paper Submission* - Please submit a full-length paper (up to 8 pages IEEE 2-column format) through the online submission system. You can download the format instruction here: https://www.ieee.org/conferences/publishing/templates.html - Electronic submissions in PDF format are required. *Online Submission* https://wi-lab.com/cyberchair/2023/bibm23/scripts/submit.php?subarea=S01&undisplay_detail=1&wh=/cyberchair/2023/bibm23/scripts/ws_submit.php *Publication* All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library. * * *Contact* Prof. Larbi Boubchir /(Workshop Chair/), University of Paris 8, France E-mail: larbi.boubchir at univ-paris8.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgeangelos60 at gmail.com Sun Jul 2 08:02:56 2023 From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com) Date: Sun, 2 Jul 2023 15:02:56 +0300 Subject: Connectionists: 19th IEEE eScience Conference (eScience 2023): Last Call for Poster Submission Message-ID: *** Last Call for Poster Submission *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ (*** Submission Deadline: July 14, 2023, AoE ***) eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of eScience applications and enabling IT technologies. Its objective is to promote and encourage all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. The conference welcomes conceptualization, implementation, and experience contributions enabling and driving innovation in data- and compute-intensive research across all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities; encompassing artificial intelligence and machine learning methods; and targeting a broad spectrum of architectures, including HPC, Cloud, and IoT. The overarching theme of the eScience 2023 conference is ?open eScience?. This year, the conference is promoting four additional key topics: ? Computational Science for sustainable development ? FAIR ? Research Infrastructures for eScience ? Continuum Computing: Convergence between Cloud Computing and the Internet of Things (IoT) The conference is soliciting contributions for Posters (2 pages) showcasing early-stage results and innovations. Submitted poster papers should use the IEEE 8.5?11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5?11-inch pages. Templates are available from http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made via the Easy Chair system using the submission link: https://easychair.org/conferences/?conf=escience2023 . All submissions will be single-blind peer reviewed. Accepted posters will be presented during a poster reception. Accepted poster papers will be published in the conference proceedings. At least one author of each accepted poster must register as an author at the full registration rate. Each author registration can be applied to only one accepted submission. AWARDS eScience 2023 will host the following awards, which will be announced at the conference. ? Best Poster Award ? Best Student Poster Award ? Outstanding Early Career Contribution ? this award is associated with poster submissions and short presentations of attendees in their early career phase (i.e., postdoctoral researchers and junior scientists). KEY DATES ? Poster Submissions due: July 14, 2023 (AoE) ? Poster Acceptance Notification: July 24, 2023 ? All Camera-ready Submissions due: August 14, 2023 ? Author Registration Deadline: August 14, 2023 ORGANISATION General Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs ? Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA ? Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee Email contact: Technical-Program at eScience-conference.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From pubconference at gmail.com Sun Jul 2 11:58:39 2023 From: pubconference at gmail.com (Pub Conference) Date: Sun, 2 Jul 2023 11:58:39 -0400 Subject: Connectionists: CFP: 13th International Conference on Information Science and Technology (ICIST 2023), December 8-14, 2023, Cairo, Egypt Message-ID: *Call for Papers* *https://conference.cs.cityu.edu.hk/icist * Sponsor: British University in Egypt Co-Sponsors: City University of Hong Kong and Chongqing Three Gorges University Technical co-sponsor: IEEE Systems, Man and Cybernetics Society The 13th International Conference on Information Science and Technology (ICIST 2023) will be held in Cairo, Egypt during December 8-14, 2023. As a cradle of civilization, the conference site features long historical and rich cultural heritages. Following the successes of previous events, ICIST 2023 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature preconference, tutorials, plenary speeches given by world-renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics and pre-conference tutorials/workshops to warm up the main event. *Call for Papers and Special Sessions* Prospective authors are invited to contribute high-quality papers to ICIST 2023. In addition, proposals for special sessions within the technical scope of the conference are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers on special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICIST 2023. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers. *Topic Areas* Topics of contributing papers include, but are not limited to, the following areas: *Computer Science and Engineering* Computer networks, computer vision, pattern recognition, virtual, reality, parallel and distributed computing, high-performance computing, artificial intelligence, computer graphics, big data, cloud computing, database management systems, mobile agent computing, quality of services and communication protocol, mobile computing for e-commerce, cryptography and information security, scientific and engineering computing, hybrid computational methods, data visualization and virtual reality, web- and grid-based computing and simulation, possibility theory, Bayes network and hidden Markov models, computational intelligence, granular computing *Control and Automation* Autonomous systems, linear and nonlinear control, robust control, learning and adaptive control, intelligent control, optimization-based and optimal control, model predictive control, fault detection and identification, hybrid intelligent systems, neural control, fuzzy logic control, networked control, industrial automation, process control, robot control, mechatronic systems, vehicle control systems, intelligent transportation systems, environmental monitoring and control, intelligent manufacturing systems, microprocessor-based control, motor control, power control, vehicle control, aerospace control applications. *Signal Processing and Telecommunications* Adaptive filtering & signal processing, audio/speech processing and coding, compressive sensing and sparse representation, higher-order spectral analysis, nonlinear & blind signal processing, neural signal processing, component analysis, array signal processing, parallel and distributed processing, time series analysis, multimedia signal processing, design and implementation of signal processing systems, DSP Implementations and embedded systems, image and multidimensional signal processing, image processing & understanding, multimedia communications, next-generation wireless/wireline communications, communication signal processing, modulation and channel coding, network coding, sensor networks *Bioinformatics and Biomedical Engineering* Microarray data analysis, gene regulation, network, and pathway analysis, identification and classification of genes, protein structure prediction, next-generation sequencing and metagenomics, protein, DNA/RNA structure, function, and interactions, functional genomics and proteomics, molecular evolution and phylogeny, neuroinformatic, brain-computer interface, clinical engineering, rehabilitation engineering, neural engineering, biomedical signal analysis and modeling, bio-imaging, sensing, and data fusion, biomarker discovery, health informatics, healthcare data acquisition, analysis, and modeling, biomedical data knowledge extraction, biomedical data integration, modeling, and preprocessing, biological data mining, knowledge sharing, visualization, and knowledge utilization, biomedical data mining systems and computing platforms, electronic health record acquisition, analysis, and decision support, high performance computing for biomedical data analysis, smart clinical diagnosis and decision systems *Paper Submission* Authors are invited to submit full-length papers (the nominal number of pages is 10) by the submission deadline through the online submission system. Special session organizers are also invited to enlist six or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take into consideration of the referees' comments and suggestions. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore?s scope and quality requirements. Selected high-quality papers will be included in several journal special issues. *Important Dates* Special session proposals deadline????????????????????????????.July 1, 2023 Paper submission deadline?????????????????????????...????......... August 1, 2023 Notification of acceptance?????????.???????????????...??????..September 1, 2023 Camera-ready copy and author registration??????????????????..??????..?October 1, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICIST2023CFP.pdf Type: application/pdf Size: 365752 bytes Desc: not available URL: From urimanor at ucsd.edu Sat Jul 1 12:15:34 2023 From: urimanor at ucsd.edu (Manor, Uri) Date: Sat, 1 Jul 2023 16:15:34 +0000 Subject: Connectionists: Machine learning positions open in my lab Message-ID: <83853EBE-C5A6-4F55-8F1D-388CA562E55F@ucsd.edu> Hi everyone, I am opening a new lab at UCSD and will also be directing a new ?Technology Sandbox? at UCSD, which includes a ThermoFisher cryoEM and mass spec center, a Nikon Imaging Center, and computational resources galore. Thus, I have positions open for machine learning/computer vision scientists (post-bac, PhD, and post-doc levels) in my lab. Please reach out to me at urimanor at ucsd.edu with a CV and cover letter if interested. Thanks! Uri -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Sun Jul 2 02:47:07 2023 From: suashdeb at gmail.com (Suash Deb) Date: Sun, 2 Jul 2023 12:17:07 +0530 Subject: Connectionists: Extension of deadline, ISCMI 2023 Message-ID: Dear esteemed colleagues, This is to let you know that in view of numerous requests from our peers, the deadline for submission of manuscripts for 2023 10th ISCMI, the annual flagship event of llCCl, has been extended till 30th July, 2023. For more information regarding conference proceedings, spl. issue of Springer Publication etc pls. visit the conference website http://www.iscmi.us Thank you and will be looking forward to receive your manuscripts in the coming days. With kind regards, Suash Deb General Chair, ISCMI 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentini at di.unimi.it Mon Jul 3 05:20:51 2023 From: valentini at di.unimi.it (Giorgio Valentini) Date: Mon, 3 Jul 2023 11:20:51 +0200 Subject: Connectionists: A software resource for fast graph processing and embedding Message-ID: Hi everybody, GRAPE (Graph Representation leArning, Prediction and Evaluation), a software resource written in Python and Rust for processing and analyzing large graphs has been published in Nature Computational Science: https://doi.org/10.1038/s43588-023-00465-8 and is available on PyPI and github: https://github.com/AnacletoLAB/grape GRAPE enables fast large-scale graph processing and embedding, and is a crucial resource for the study of real-world problems that can be represented as graphs. I think that GRAPE can be an important computational resource for graph representation learning, and can be useful for researchers in several disciplines for studying complex systems represented as graphs and in particular for computer scientists to easily develop and compare computational methods for the analysis of large graphs. All the best, Giorgio Valentini -- ==================================================== Giorgio Valentini Dip. Informatica - Universita' degli Studi di Milano Phone: +39 (02) 503.16225 e-mail: valentini at di.unimi.it http://homes.di.unimi.it/valentini Anacleto Lab - Comp. Biology and Bioinformatics http://anacletolab.di.unimi.it ==================================================== From marwen.belkaid at ensea.fr Mon Jul 3 06:53:27 2023 From: marwen.belkaid at ensea.fr (marwen Belkaid) Date: Mon, 3 Jul 2023 12:53:27 +0200 Subject: Connectionists: =?utf-8?q?PhD_thesis_in_neurorobotics_at_CY_Cergy?= =?utf-8?q?_Paris_Universit=C3=A9=2C_France?= Message-ID: <786753fd-9636-70a8-7ef8-9e307594f987@ensea.fr> A thesis offer in neurorobotics is available on the link below on the topic of modeling affective processes for visual attention, decision-making and social behaviors. Details and application here: https://emploi.cnrs.fr/Offres/Doctorant/UMR8051-VIRLAI-001/Default.aspx?lang=EN Application deadline: July 13, 2023 Start date: October 1, 2023 The thesis project will be carried out at the ETIS Laboratory (CNRS UMR8051) of CY Cergy Paris University, located in the Paris region. -- Marwen Belkaid Junior Professor Chair in Neuroscience and Robotics ETIS Lab | CY Cergy Paris Universit?, ENSEA, CNRS UMR8051 Address: 2 avenue Adolphe-Chauvin, BP 222, Pontoise 95302 Webpage: https://marwenbelkaid.github.io/ Twitter: @marwenBelkaid From benoit.frenay at unamur.be Mon Jul 3 08:07:09 2023 From: benoit.frenay at unamur.be (=?iso-8859-1?Q?Beno=EEt_Frenay?=) Date: Mon, 3 Jul 2023 12:07:09 +0000 Subject: Connectionists: C2W postdoc - deep learning & comparative politics Message-ID: Dear colleagues, We are seeking a motivated postdoctoral researcher to work on an interdisciplinary project at the intersection of deep learning and comparative politics. The candidate will work in the Human-Centered Machine Learning (HuMaLearn - https://humalearn.info.unamur.be/) team of Prof. Beno?t Fr?nay and the Belgian and Comparative Politics team of Prof. J?r?my Dodeigne (https://jeremydodeigne.com/). The exciting goal will be to develop new deep learning methodologies to analyse large corpuses of archive videos that picture political debates. We specifically aim to detect emotions, body language, movements, attitudes, etc. This project is linked to the ERC POLSTYLE project that J?r?my Dodeigne recently obtained, guaranteeing a stimulating research environment. The HuMaLearn team gathers about ten researchers, many of them being actively working in deep learning, but not only and with a keen openness to interdisciplinarity. The postdoctoral fellowship will be funded by the Connect with Wallonia (C2W) program, a Marie Curie action of the European Union. With the help of the project supervisors, the candidate will apply for a fellowship of 24 months with highly competitive salary and research/training funds. "Connect with Wallonia - Come 2 Wallonia" (C2W - https://cometowallonia.eu/c2w) is an individual-driven research training and career development program for Experienced Researchers (ERs), based on incoming mobility. C2W aims to provide ERs with the expertise and experience needed to become the next generation of leaders with strong expertise and interdisciplinary skills. Eligible applicants are experienced researchers (i) in possession of a doctoral degree at the call deadline, or (ii) have at least four years of full-time equivalent research experience. Eligible applicants cannot have resided or carried out his/her main activity (work, studies, etc.) in Belgium for more than 12 months in the three years before the deadline of the call. Applicants must be fluent in English. The two promotors will provide support for their application. Interested candidates can send an e-mail to Beno?t Frenay benoit.frenay at unamur.be and J?r?my Dodeignejeremy.dodeigne at unamur.be with * a motivation letter explaining their adequacy with the proposed research topic; * a recent CV with a publication list and a link to an online profile (ORCID, Scholar or equivalent); * their PhD thesis and up to five representative publications. PhD student who have not yet defended their thesis and who will do so in the next coming months are welcome to apply (in which case, sending us a PhD thesis is not mandatory). Applications will be processed as they come, with a deadline on the 14th of July. Best regards, J?r?my Dodeigne Beno?t Fr?nay -------------- next part -------------- An HTML attachment was scrubbed... URL: From cpcourse at biomed.ee.ethz.ch Tue Jul 4 04:35:52 2023 From: cpcourse at biomed.ee.ethz.ch (Computational Psychiatry Course) Date: Tue, 4 Jul 2023 08:35:52 +0000 Subject: Connectionists: Computational Psychiatry Course Message-ID: <8504c33c21324a4f89c42227f811c36d@biomed.ee.ethz.ch> ***COMPUTATIONAL PSYCHIATRY COURSE (04 ? 09 SEPTEMBER 2023) ? IN ZURICH OR ONLINE*** Dear all, The next international Computational Psychiatry Course (CPC) will take place 04 ? 09 September 2023 (http://www.translationalneuromodeling.org/cpcourse/). This annual course is organised by the Translational Neuromodeling Unit (TNU) at the University of Zurich and ETH Zurich. After last year's success, we are offering a HYBRID course again: this means you can either join online via Zoom or in person in Zurich. Registration is open! https://events.eventzilla.net/e/computational-psychiatry-course-cpc-zurich-2023--hybrid-2138601232?preview=1677865209506 Please note that spaces are limited and are made available on a first-come first-served basis. DETAILS The CPC is a 6-day course that features clinical and modeling lectures on Monday-Thursday, application talks on Friday, and tutorials on Saturday. The course is designed to be practically useful for students and scientists at all levels (Master, PhD, Postdoc) and from diverse backgrounds (neuroscience, psychology, medicine, engineering, physics, etc.), who would like to apply modeling techniques to study cognition or brain physiology in mental health. The course will teach not only the theory of computational modeling, but also demonstrate open-source software in application to example data sets. All participants receive a certificate of attendance. Students enrolled at ETH and University of Zurich can earn 3 ECTS upon passing an exam after the course. We would be grateful if you could distribute this information amongst interested students and colleagues. We look forward to welcoming you at Zurich or online. Your CPC Zurich Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From kendrick.kay at gmail.com Mon Jul 3 11:50:46 2023 From: kendrick.kay at gmail.com (Kendrick Kay) Date: Mon, 3 Jul 2023 10:50:46 -0500 Subject: Connectionists: Postdoctoral Associate(s) in Cognitive/Visual/Computational/Systems Neuroscience Message-ID: <909AD24E-7460-44D9-851C-BCCE22D7E774@gmail.com> The lab of Dr. Kendrick Kay at the Center for Magnetic Resonance Research at the University of Minnesota is recruiting one or more postdocs. We are a highly collaborative lab that seeks to integrate broad interdisciplinary insights to understand function in the visual system. ? One postdoc position is on a newly funded NIH R01 to develop, design, and collect a large-scale 7T fMRI dataset that samples a wide range of cognitive tasks on a common set of visual stimuli. The predecessor for this effort is the Natural Scenes Dataset (NSD) (http://naturalscenesdataset.org ), which is a freely available dataset that is heavily used in the cognitive and computational neuroscience communities. The project is being conducted in close collaboration with co-PI Dr. Clayton Curtis (New York University). Activities in this grant include either (i) designing, collecting, and analyzing the large-scale neuroimaging dataset, (ii) technical work focused on extending and expanding the GLMsingle analysis method (http://glmsingle.org ), and/or (iii) other related experimental or modeling work in visual/cognitive neuroscience. For more information, please see this recent review (https://doi.org/10.1016/j.neuron.2023.03.022), the NSD paper (https://doi.org/10.1038/s41593-021-00962-x), and the GLMsingle paper (https://doi.org/10.7554/eLife.77599). ? Another postdoc position is aimed towards integrating fMRI and intracranial EEG measurements during visual tasks (NSD-iEEG) and electrical stimulation. The general goal of this effort is to better understand signaling across the visual hierarchy (from early visual to higher order areas ventral temporal cortex and frontal/parietal areas). This project is in collaboration with PI Dr. Dora Hermes (Mayo Clinic). For more information, see these papers: https://doi.org/10.1523/JNEUROSCI.1325-22.2023 and https://doi.org/10.7554/eLife.47035. More information can be found for Dr. Kendrick Kay at http://cvnlab.net , Dr. Clayton Curtis at https://www.clayspacelab.com , and Dr. Dora Hermes at https://www.mayo.edu/research/faculty/hermes-miller-dora-ph-d/bio-20471548. Interested applicants should e-mail kay at umn.edu . The positions have flexible start dates, and could potentially be conducted remotely. Applicants are required to have a Ph.D. and strong quantitative, technical, and programming skills. Appointments will be made for one year, with the possibility to renew for additional years. -- Kendrick Kay (kay at umn.edu) Assistant Professor Center for Magnetic Resonance Research University of Minnesota Lab web site: http://cvnlab.net -------------- next part -------------- An HTML attachment was scrubbed... URL: From davy.weissenbacher at gmail.com Mon Jul 3 16:59:44 2023 From: davy.weissenbacher at gmail.com (Davy Weissenbacher) Date: Mon, 3 Jul 2023 13:59:44 -0700 Subject: Connectionists: 2nd CFP - Normalization of genetic phenotypes in Dysmorphology Physical Examination @ BioCreative VIII - track 3 Message-ID: *Task:* We call for automated systems to extract and normalize the findings in dysmorphology physical examinations. The dataset consists of 3136 de-identified observations with dysmorphic findings manually annotated and normalized with their corresponding Human Phenotype Ontology (HPO) terms. Both extraction and normalization are challenging. The extraction due to the descriptive style of the examinations which, for conciseness, report findings with disjoint and overlapping mentions. The normalization due to the large scale of the HPO ontology which requires a normalizer to learn the task without supervision since our training set does not provide examples of all terms in the HPO. See https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-3/ for details. *Motivation:* The dysmorphology physical examination catalogs minor morphological differences in patients? bodies and may identify general medical signs such as neurologic dysfunction. Its findings enable correlations of patients with known rare genetic diseases and allow researchers to delineate undescribed genetic conditions. These medical findings are nearly always captured as unstructured free text within the electronic health record, making it unavailable for downstream computational analysis. Advanced Natural Language Processing methods are therefore required to retrieve the information from the records. *In short:* ? 3136 de-identified observations with dysmorphic and normal findings manually annotated and normalized with their corresponding Human Phenotype Ontology terms ? Baseline systems available (e.g. doc2HPO, NeuralCR, PhenoTagger, PhenoBERT, and txt2HPO) ? Codalab opened at https://codalab.lisn.upsaclay.fr/competitions/11351 ? Evaluation period: Sept. 15, 9:00 UTC - Sept. 18, 23:59 UTC [Apologies for cross-posting] Best regards, Davy -------------- next part -------------- An HTML attachment was scrubbed... URL: From silvio.sabatini at unige.it Mon Jul 3 18:16:33 2023 From: silvio.sabatini at unige.it (Silvio P. Sabatini) Date: Tue, 4 Jul 2023 00:16:33 +0200 Subject: Connectionists: PhD position Bioengineering and Robotics: Early vision function in silico networks of LIF neurons | PSPC Labs Genoa, ITALY Message-ID: Applications are invited for one full-time PhD studentship for a period of 3 years, at the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Italy. The position will start on Nov 1st, 2023 on the following research project: **Early vision function in silico networks of LIF neurons** One approach to understanding implications of the initial stages of visual processing is ideal observer analysis, which evaluates the information available to support psychophysical discriminations at various stages of the early visual representation. Computational approaches primarily rely on simple generative models, which do not take into account the distinctive properties of individual elementary channels, as well as the active nature of the input sensory pattern. Accordingly, many details remain underrated, as well as their implications on functional vision not fully understood. The project's goal is to develop an ?artificial observer? composed of an active event-based camera feeding a neuromorphic multi-layer network of leaky integrate and fire (LIF) neurons. The system should provide the inference engines for relating visual representations to performance on perceptual judgement tasks. Multiple and varying parameters captured under complex, real-life conditions should be comparatively assessed in silicon and human observers. The research will be conducted at the Bioengineering/PSPC labs of DIBRIS. Applicants are expected to: (1) have a Master?s degree in Bioengineering, Computer Science, Physics or related disciplines, (2) have a keen interest in Vision Science and in Artificial Intelligence, (3) have good programming skills in at least one language (MATLAB, C/C++, Python, C#), (4) work well in group problem solving situations, (5) have intermediate communication skills (oral and written in English). Experience in neural modeling is a plus. Prospective students, please contact Silvio P. Sabatini ( silvio.sabatini at unige.it) providing your CV and qualifications, the name and contact details of two references, and a description of your research interests. *Online application is possible till *July 10th , 2023 (12:00 a.m. CET)** Full details on the call and the application procedure are available at: https://unige.it/en/students/phd-programmes https://biorob.phd.unige.it/how-to-apply Regards, -- -- --------------------------------------------------------------------- Silvio P. SABATINI, PhD [PSPC Research Group] DIBRIS - University of Genova | e_mail: silvio.sabatini at unige.it Via Opera Pia, 13 | phone: +39 010 33 52092 I-16145 Genova (ITALY) | fax: +39 010 33 56533 URL: http://pspc.unige.it --------------------------------------------------------------------- "Imagination is more important than knowledge..." [Albert Einstein] -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Jul 4 05:19:54 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 4 Jul 2023 11:19:54 +0200 Subject: Connectionists: PLOS Complex Systems is coming! Message-ID: View this email in your browser [image: PLOS] *Announcing PLOS Complex Systems* *A new home for complex systems research that transcends disciplines* Dr Cherifi, We?re proud to announce *PLOS Complex Systems*, a forthcoming new journal to complement our existing portfolio and continue our mission to support research communities around the globe. *PLOS Complex Systems* will publish research of broad significance that untangles the complex systems at the heart of the world we live in. Open Science options at every stage of research communication facilitate new connections that inspire ideas and accelerate progress across disciplines while cross-fertilizing knowledge that enable solutions to fundamental challenges facing our society today. Find out more [image: Hocine Cherifi] *?I am thrilled to be part of the launch of *PLOS Complex Systems*, a significant step forward in understanding the intricacies of our world. This journal has the power to break down disciplinary boundaries and encourage researchers to approach problems holistically. Together, we have the opportunity to shape the future of complex systems research and make a lasting impact on scientific understanding and societal progress.?* *- Hocine Cherifi, Editor-in-Chief* Want to learn more?Find out more about the scope of *PLOS Complex Systems*, our Editor-in-Chief, and other relevant journal information on our website. Start here -------------- next part -------------- An HTML attachment was scrubbed... URL: From er.anubajaj at gmail.com Tue Jul 4 09:31:22 2023 From: er.anubajaj at gmail.com (er.anubajaj at gmail.com) Date: Tue, 4 Jul 2023 13:31:22 +0000 Subject: Connectionists: First CFP: 14th Bio-Inspired Computing and Applications (IBICA'23) -- Hybrid Event - Springer Publication Message-ID: ** First Call for Papers - please circulate this CFP to your colleagues and networks ** -- The 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA'23) -- *IBICA 2023 Theme:* Nature Inspired Approaches and Generative AI ===================================================== http://www.mirlabs.net/ibica23 http://www.mirlabs.org/ibica23 ** Onsite and On the World Wide Web ** *Onsite Venues:* Olten, Switzerland : https://en.wikipedia.org/wiki/Olten Porto, Portugal : https://en.wikipedia.org/wiki/Porto Vilnius, Lithuania : https://en.wikipedia.org/wiki/Vilnius Kochi, India : https://en.wikipedia.org/wiki/Kochi *December 14-15, 2023* IBICA 2023 will be a hybrid conference that will run fully in-person and fully virtually to take advantage of the best that the two modalities can offer. Besides regular paper presentations, the technical programme will include 8-10 plenary lectures and poster sessions. IBICA 2023 Organising Committee also recognises the benefits of virtual conferences allowing participation at a cheaper rate. This allows a higher number of research scholars and students to attend. Selected authors will have the option to attend and present the papers virtually or present in one of the three venues in Europe and Asia. Proceedings of IBICA'23 will be published with Springer Verlag in their Lecture Notes in Networks and Systems (LNNS) series. ( https://www.springer.com/series/15179) (Approval Pending) Proceedings of IBICA'22: https://link.springer.com/book/10.1007/978-3- 031-27499-2 Indexed by: SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago, DBLP, EI Compendex, Japanese Science and Technology Agency (JST), SpringerLink History of IBICA series: http://www.mirlabs.net/ibica23/previous.php ***Important Dates*** ------------------------------ Paper submission due: September 30, 2023 Notification of paper acceptance: October 31, 2023 Registration and Final manuscript due: November 10, 2023 Conference: December 14-15, 2023 *** About IBICA 2023 *** ------------------------------------- IBICA'23 is the 14th International Conference on Innovations in Bio-Inspired Computing and Applications. The aim of IBICA is to provide a platform for world research leaders and practitioners, to discuss the ?full spectrum? of current theoretical developments, emerging technologies, and innovative applications of Bio-inspired Computing. Bio-inspired Computing is currently one of the most exciting research areas, and it is continuously demonstrating exceptional strength in solving complex real life problems. The main driving force of the conference is to further explore the intriguing potential of Bio-inspired Computing. IBICA 2023 will be held in hybrid mode. ***Topics (not limited to)*** ----------------------------------------- Bio-inspired Computing Ant Colony System Artificial Immune Systems Artificial Intelligence Artificial Neural Networks Cellular Automaton Cognitive Modeling DNA Computing Differential Evolution Emergent Systems Evolutionary Computations Evolutionary Strategies/Programming Fuzzy Logic Genetic Algorithms/Programming Granular Computing Neutrosophic Systems Organic Computing P Systems Particle Swarm Optimization Emerging Technologies & Applications Intelligent Distributed and High-Perfomance Architecture ***Submission Guidelines**----------------------------------------* Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. *Paper format templates:* https://www.springer.com/de/authors-editors/book-authors-editors/manuscript- preparation/5636#c3324 *IBICA?23 Submission Link:* http://www.mirlabs.org/ibica23/submission.php (under development) *** IBICA 2023 Organization **------------------------------------------------* General Chairs Ajith Abraham, Machine Intelligence Research Labs, USA Thinakaran Perumal, Universiti Putra Malaysia, Malaysia Virgilijus Sakalauskas, Vilnius University, Lithuania Program Chairs Dalia Kriksciuniene, Vilnius University, Lithuania Yunchuan Sun, Beijing Normal University, China Ryotaro Kamimura, Tokai University, Japan Publication Chair Anu Bajaj, Thapar Institute of Engineering and Technology, India Web Services Chair Kun Ma, University of Jinan, China Publicity Chair Pooja Manghirmalani Mishra, Machine Intelligence Research Labs, India International Program Committee TBA Note: If you would like to propose a special session, please email Ms. Mabrouka Salmi with a cc to Dr. Anu Bajaj < er.anubajaj at gmail.com> **Technical Contact** --------------------- Dr. Ajith Abraham Email: ajith.abraham at ieee.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Tue Jul 4 08:23:54 2023 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Tue, 4 Jul 2023 13:23:54 +0100 Subject: Connectionists: Call for Labs Proposals @ CLEF 2024 - Deadline Extended Message-ID: [Apologies for cross-postings] ******************************************************* The deadline for the submissions of labs proposals has been extended to *14* *th **July*. You can find all the information about the call at: https://clef2024.imag.fr/index.php?page=Pages/call_for_lab_proposals.html Call for CLEF 2024 Labs Proposals - Deadline extended At its 25th edition, the Conference and Labs of the Evaluation Forum (CLEF) is a continuation of the very successful series of evaluation campaigns of the Cross Language Evaluation Forum (CLEF) which ran between 2000 and 2009, and established a framework of systematic evaluation of information access systems, primarily through experimentation on shared tasks. As a leading annual international conference, CLEF uniquely combines evaluation laboratories and workshops with research presentations, panels, posters and demo sessions. In 2024, CLEF takes place in September, 9-12 at the University of Grenoble Alpes, France. Researchers and practitioners from all areas of information access and related communities are invited to submit proposals for running evaluation labs as part of CLEF 2024. Proposals will be reviewed by a lab selection committee, composed of researchers with extensive experience in evaluating information retrieval and extraction systems. Organisers of selected proposals will be invited to include their lab in the CLEF 2024 labs programme, possibly subject to suggested modifications to their proposal to better suit the CLEF lab workflow or timeline. Background The CLEF Initiative (http://www.clef-initiative.eu/) is a self-organised body whose main mission is to promote research, innovation, and development of information access systems with an emphasis on multilingual information in different modalities - including text and multimedia - with various levels of structure. CLEF promotes research and development by providing an infrastructure for: 1. independent evaluation of information access systems; 2. investigation of the use of unstructured, semi-structured, highly-structured, and semantically enriched data in information access; 3. creation of reusable test collections for benchmarking; 4. exploration of new evaluation methodologies and innovative ways of using experimental data; 5. discussion of results, comparison of approaches, exchange of ideas, and transfer of knowledge. Scope of CLEF Labs We invite submission of proposals for two types of labs: 1. ?Campaign-style? Evaluation Labs for specific information access problems (during the twelve months period preceding the conference), similar in nature to the traditional CLEF campaign ?tracks?. Topics covered by campaign-style labs can be inspired by any information access-related domain or task. 2. Labs that follow a more classical ?workshop? pattern, exploring evaluation methodology, metrics, processes, etc. in information access and closely related fields, such as natural language processing, machine translation, and human-computer interaction. We highly recommend organisers new to the CLEF format of shared task evaluation campaigns to first consider organising a lab workshop to discuss the format of their proposed task, the problem space and practicalities of the shared task. The CLEF 2024 programme will reserve about half of the conference schedule for lab sessions. During the conference, the lab organisers will present their overall results in overview presentations during the plenary scientific paper sessions to give non-participants insights into where the research frontiers are moving. During the conference, lab organisers are expected to organise separate sessions for their lab with ample time for general discussion and engagement with all participants - not just those presenting campaign results and papers. Organisers should plan time in their sessions for activities such as panels, demos, poster sessions, etc. as appropriate. CLEF is always interested in receiving and facilitating innovative lab proposals. Potential task proposers unsure of the suitability of their task proposal or its format for inclusion at CLEF are encouraged to contact the CLEF 2024 Lab Organizing Committee Chairs to discuss its suitability or design at an early stage. Proposal Submission Lab proposals must provide sufficient information to judge the relevance, timeliness, scientific quality, benefits for the research community, and the competence of the proposers to coordinate the lab. Each lab proposal should identify one or more organisers as responsible for ensuring the timely execution of the lab. Proposals should be 3 to 4 pages long and should provide the following information: 1. Title of the proposed lab. 2. A brief description of the lab topic and goals, its relevance to CLEF and the significance for the field. 3. A brief and clear statement on usage scenarios and domain to which the activity is intended to contribute, including the evaluation setup and metrics. 4. Details on the lab organiser(s), including identifying the task chair(s) responsible for ensuring the running of the task. This should include details of any previous involvement in organising or participating in evaluation tasks at CLEF or similar campaigns. 5. The planned format of the lab, i.e., campaign-style (?track?) or workshop. 6. Is the lab a continuation of an activity from previous year(s) or a new activity? 1. For activities continued from previous year(s): Statistics from previous years (number of participants/runs for each task), a clear statement on why another edition is needed, an explicit listing of the changes proposed, and a discussion of lessons to be learned or insights to be made. 2. For new activities: A statement on why a new evaluation campaign is needed and how the community would benefit from the activity. 1. Details of the expected target audience, i.e., who do you expect to participate in the task(s), and how do you propose to reach them. 2. Brief details of tasks to be carried out in the lab. The proposal should clearly motivate the need for each of the proposed tasks and provide evidence of its capability of attracting enough participation. The dataset which will be adopted by the Lab needs to be described and motivated in the perspective of the goals of the Labs; also indications on how the dataset will be shared are useful. It is fine for a lab to have a single task, but labs often contain multiple closely related tasks, needing a strong motivation for more than 3 tasks, to avoid useless fragmentation. 3. Expected length of the lab session at the conference: half-day, one day, two days. This should include high-level details of planned structure of the session, e.g. participant presentations, invited speaker(s), panels, etc., to justify the requested session length. 4. Arrangements for the organisation of the lab campaign: who will be responsible for activities within the task; how will data be acquired or created, what tools or methods will be used, e.g., how will necessary queries be created or relevance assessment carried out; any other information which is relevant to the conduct of your lab. 5. If the lab proposes to set up a steering committee to oversee and advise its activities, include names, addresses, and homepage links of people you propose to be involved. Lab proposals must be submitted at the following address: https://easychair.org/conferences/?conf=clef2024 choosing the ?CLEF 2024 Lab Proposals? track. Reviewing Process Each submitted proposal will be reviewed by the CLEF 2024 Lab Organizing Committee. The acceptance decision will be sent by email to the responsible organiser by 28 July 2023. The final length of the lab session at the conference will be determined based on the overall organisation of the conference and the number of participant submissions received by a lab. Advertising Labs at CLEF 2023 and ECIR 2024 Organisers of accepted labs are expected to advertise their labs at both CLEF 2023 (18-21 September 2023, Thessaloniki, Greece) and ECIR 2024 (24-28 March 2024, Glasgow, Scotland). So, at least one lab representative should attend these events. Advertising at CLEF 2023 will consist of displaying a poster describing the new lab, running a break-out session to discuss the lab with prospective participants, and advertising/announcing it during the closing session. Advertising at ECIR 2024 will consist of submitting a lab description to be included in ECIR 2024 proceedings (11 October 2023) and advertising the lab in a booster session during ECIR 2024. Mentorship Program for Lab Proposals from newcomers CLEF 2019 introduced a mentorship program to support the preparation of lab proposals for newcomers to CLEF. The program will be continued at CLEF 2024 and we encourage newcomers to refer to Friedberg et al. (2015) for initial guidance on preparing their proposal: Friedberg I, Wass MN, Mooney SD, Radivojac P. Ten simple rules for a community computational challenge. PLoS Comput Biol. 2015 Apr 23;11(4):e1004150. The CLEF newcomers mentoring program offers help, guidance, and feedback on the writing of your draft lab proposal by assigning a mentor to you, who help you in preparing and maturing the lab proposal for submission. If your lab proposal falls into the scope of an already existing CLEF lab, the mentor will help you to get in touch with those lab organisers and team up forces. Lab proposals for mentorship must be submitted at the following address: https://easychair.org/conferences/?conf=clef2024 choosing the ?CLEF 2024 Lab Mentorship? track. Important Dates - 29 May 2023: Requests for mentorship submission (only newcomers) - 29 May 2023 - 16 June 2023: Mentorship period - 7 July 2023 14 July 2023 (extended): Lab proposals submission (newcomers and veterans) - 28 July 2023: Notification of lab acceptance - 18-21 Sep 2023: Advertising Accepted Labs at CLEF 2023, Thessaloniki, Greece - 11 October 2023: Submission of short lab description for ECIR 2024 - 13 November 2023: Lab registration opens - 24-28 March 2024: Advertising labs at ECIR 2024, Glasgow, UK CLEF 2024 Lab Chairs - Petra Galuscakova, University of Stavanger, Norway - Alba Garc?a Seco de Herrera, University of Essex, UK CLEF 2024 Lab Mentorship Chair - Liana Ermakova, Universit? de Bretagne Occidentale, France - Florina Piroi, TU Wien, Austria -------------- next part -------------- An HTML attachment was scrubbed... URL: From er.anubajaj at gmail.com Wed Jul 5 10:32:49 2023 From: er.anubajaj at gmail.com (Anu Bajaj) Date: Wed, 5 Jul 2023 14:32:49 +0000 Subject: Connectionists: First CFP: 15th Nature and Biologically Inspired Computing (NaBIC 2023) -- Hybrid Event - Springer Publication Message-ID: ** First Call for Papers - please circulate this CFP to your colleagues and networks ** -- 15th World Congress on Nature and Biologically Inspired Computing (NaBIC 2023) -- NaBIC 2023 Theme: Nature Inspired Approaches in Generative AI ==================================================== http://www.mirlabs.net/nabic23 http://www.mirlabs.org/nabic23 Onsite and On the World Wide Web Onsite Venues: Olten, Switzerland : https://en.wikipedia.org/wiki/Olten Porto, Portugal : https://en.wikipedia.org/wiki/Porto Vilnius, Lithuania : https://en.wikipedia.org/wiki/Vilnius Kochi, India : https://en.wikipedia.org/wiki/Kochi December 13-15, 2023 NaBIC 2023 will be a hybrid conference that will run fully in-person and fully virtually to take advantage of the best that the two modalities can offer. Besides regular paper presentations, the technical programme will include 8-10 plenary lectures and poster sessions. NaBIC 2023 Organising Committee also recognises the benefits of virtual conferences allowing participation at a cheaper rate. This allows a higher number of research scholars and students to attend. Selected authors will have the option to attend and present the papers virtually or present in one of the three venues in Europe and Asia. Like previous years, proceedings of NaBIC'23 are expected to be published with Springer Verlag in their Lecture Notes in Networks and Systems (LNNS) series. (https://www.springer.com/series/15179) Proceedings of NaBIC'22: https://link.springer.com/book/10.1007/978-3-030-96302-6 Indexed by: SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago, DBLP, EI Compendex, Japanese Science and Technology Agency (JST), SpringerLink History of NaBIC series: http://www.mirlabs.net/nabic23/previous.php **Important Dates** --------------------- Paper submission due: September 30, 2023 Notification of paper acceptance: October 31, 2023 Registration and Final manuscript due: November 10, 2023 Conference: December 13-15, 2023 **About NaBIC'23** ----------------------------- After the success of the previous 14 events, we welcome your participation and contribution to the 15th World Congress on Nature and Biologically Inspired Computing (NaBIC 2023) to be held in hybrid mode during December 13-15, 2023. NaBIC 2023 is organized to provide a forum for researchers, engineers, and students from all over the world, to discuss state-of-the-art machine intelligence, and address various issues on building up human-friendly machines by learning from nature. The conference theme is "Nature Inspired Approaches in Generative AI". **Topics (not limited to)** --------------------------- Industrial Applications of Nature and Biologically Inspired Computing Computing Information Retrieval Robotics Fault Diagnosis Bioinformatics Web Intelligence Speech Processing Business Information Systems Knowledge Management Evolvable Hardware Image and Signal Processing Pattern Recognition Traffic and Transportation System Decision Analysis Data Mining Computer Vision Information and Communication Technology Control System Innovative approaches Artificial Neural Networks Biodegradability Prediction Cellular Automata Evolutionary Algorithms Swarm Intelligence Emergent Systems Artificial Life Lindenmayer Systems Digital Organisms Artificial Immune Systems Membrane Computing Simulated Annealing Communication Networks and Protocols Computing with Words Common Sense Computing Cognitive Modeling and Architecture Connectionism Metaheuristics Hybrid Approaches Quantum Computing Nano Computing **Submission Guidelines** ------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: https://www.springer.com/de/authors-editors/book-authors-editors/manuscript- preparation/5636#c3324 NaBIC?23 Submission Link: http://www.mirlabs.org/nabic23/submission.php ** NaBIC 2023 Organization** --------------------------- General Chairs Ajith Abraham, Machine Intelligence Research Labs, USA Art?ras Kaklauskas, Vilnius Gediminas Technical University, Lithuania Program Chairs Andries Engelbrecht, University of Stellenbosch, South Africa Oscar Castillo, Tijuana Institute of Technology, Mexico Publication Chair Anu Bajaj, Thapar Institute of Engineering and Technology, India Web Services Chair Kun Ma, University of Jinan, China Publicity Chair Pooja Manghirmalani Mishra, University of Mumbai, India International Program Committee TBA Note: If you would like to propose a special session, please email Ms. Mabrouka Salmi with a cc to Dr. Anu Bajaj **Technical Contact** --------------------- Dr. Ajith Abraham Email: ajith.abraham at ieee.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From diego.perez at qmul.ac.uk Tue Jul 4 10:28:05 2023 From: diego.perez at qmul.ac.uk (Diego Perez Liebana) Date: Tue, 4 Jul 2023 14:28:05 +0000 Subject: Connectionists: IEEE Transactions on Games - Special Issue on Human-Centred AI in Game Evaluation Message-ID: Dear all, Apologies for cross-posting. We are looking for submissions for a new Special Issue for IEEE Transactions on Games: Human-Centred AI in Game Evaluation. This issue aims to collect works on evaluating and characterizing games and player experience, be this by means of AI players, human evaluation, or a mix of both. Please see the full call for papers and instructions to submit in this link: https://transactions.games/special-issue/special-issue-on-human-centred-ai-in-game-evaluation, and also below. The deadline for submissions is October 1st, 2023. === Call for Papers === Most games are consciously designed with a specific experience or vision in mind. Games are commonly designed for entertainment and competition purposes, but self-expression, social critique, targeted learning, knowledge discovery as well as physical and mental health are also valid design objectives. Determining whether an objective is fulfilled is often quite difficult due to the complexity of modern games and the variability of human responses. For this reason, games are commonly playtested before being published. However, playtests are expensive and time-consuming and not all aspects of the game can be evaluated to the full extent before it is published. There is thus a need for more concentrated and systematic work on evaluating/characterising games, its artefacts as well as player experience. Researchers have proposed approaches intended to assist game designers using methods from the field of artificial and computational intelligence (AI and CI, respectively). Still, to our knowledge, there is a surprising lack of generality and validation regarding these methods, even in scientific publications on game design. No central repository for methods currently exists. In this special issue, we want to focus on human-centered AI approaches aiming for a more holistic and systematic approach to game evaluation. We thus seek submissions on related topics for this special issue. The following is a non-comprehensive list of suggested topics: * Uses of AI agents to evaluate game content * Measures for game evaluation * Game evaluation and play-testing for AR/VR * Relationship between AI agents and player experience * Automatic analysis of play-traces * Mixed-Initiative gameplay evaluation * Player modelling for game evaluation * Automatic evaluation for new game genres * Validation of automatic evaluation methods using human data * Generality of automatic evaluation methods * Differences between different evaluation methods (tested with AI or humans, qualitative vs. quantitative, objective vs subjective measures, etc.) * Evaluation measures and their relationship to business and research goals * Playtesting standards in industry * Correlation between objective and subjective measures * Ethics, privacy and legal aspects of using player data * Evaluation of generated content Best wishes, 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:04b0ca46-ee63-4db4-9a26-b11812471dab] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-3wkc2gn0.png Type: image/png Size: 12762 bytes Desc: Outlook-3wkc2gn0.png URL: From decebalmocanu at gmail.com Tue Jul 4 16:36:19 2023 From: decebalmocanu at gmail.com (Decebal Mocanu) Date: Tue, 4 Jul 2023 22:36:19 +0200 Subject: Connectionists: Two Open Professorships at the University of Luxembourg Message-ID: Dear colleagues, We are happy to announce two open professorships at the University of Luxembourg. Both can be at the Assistant Professor (tenure-track) or Associate Professor (tenured) level. International and dynamic environment, friendly atmosphere, competitive salaries and welcome packages. More details and the application procedure for each position can be found at the links below: - *HPC and Quantum computing* (Department of Computer Science) https://recruitment.uni.lu/en/details.html?id=QMUFK026203F3VBQB7V7VV4S8&nPostingID=85396&nPostingTargetID=124980 - *Information Technology in Engineering *(Department of Computer Science and Department of Engineering) https://recruitment.uni.lu/en/details.html?id=QMUFK026203F3VBQB7V7VV4S8&nPostingID=83711&nPostingTargetID=124619 Best wishes, Decebal ================================= Decebal Mocanu Associate Professor in Machine Learning Department of Computer Science University of Luxembourg -------------- next part -------------- An HTML attachment was scrubbed... URL: From aykut.erdem at gmail.com Wed Jul 5 02:18:47 2023 From: aykut.erdem at gmail.com (Aykut Erdem) Date: Wed, 5 Jul 2023 09:18:47 +0300 Subject: Connectionists: Call for Papers: INLG/SIGDIAL Workshop on Multimodal Multilingual NLG Message-ID: <0FD3CFC8-04E8-4579-BB68-98182549B6A6@gmail.com> ===================================================================== Workshop on Multimodal, Multilingual Natural Language Generation In conjunction with INLG/SIGDIAL 2023 ===================================================================== Prague, 12 September, 2023 https://synalp.gitlabpages.inria.fr/mmnlg2023/ ====================================================================== We invite the submission of long and short papers for the first Workshop on Muiltimodal, Multilingual NLG (MM-NLG), which will be held in Prague, in conjunction with the joint meetings of the 16th International Conference on Natural Language Generation (INLG 2023) and the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial 2023). Workshop goals and topics This event aims to bring together researchers working on text generation from multimodal input data. The workshop also emphasises multilinguality as an ongoing, open challenge for text generation methods, especially for languages which are relatively under-resourced. We therefore invite papers on all topics related to text generation from multimodal inputs, multilingual text generation, or a combination of the two. We welcome submissions which focus on multimodal and/or multilingual generation in both dialogue and non-interactive settings. NLG and multimodal inputs ========================== By Multimodal NLG, we intend to capture a broad variety of input data types and formats from which text can be generated using neural, statistical or rule-based methods. For example, while several contemporary NLG models generate based on textual prompts or prefixes, others rely on structured inputs which can take the form of `flat' semantic representations, RDF triples, etc. In a different vein, vision-to-text models generate captions, paragraphs or short narratives from visual inputs such as images or video. Finally, there is a long tradition in data-to-text NLG which seeks to generate text from numerical or other, less structured inputs. The sheer diversity is also reflected in the broad range of datasets available for training and evaluating NLG models. This workshop will provide a forum to discuss NLG research based on any input modality, fostering a debate on the directions in which the field has developed, and especially the relationship between different NLG tasks, as characterised by the variety of possible inputs, among others. NLG and multilingual outputs ============================ As the field has become increasingly dominated by large, pretrained language models, it has become increasingly evident that not all languages are on a level playing field. For example, when training data is opportunistically sourced from the web, data for certain languages is often very limited, and highly noisy. On the other hand, developing curated multilingual data for under-represented languages is very challenging, as some recent efforts (for example, the BLOOM model) have shown. This workshop will provide an opportunity for researchers to discuss challenges and report on recent work targeting NLG in multiple languages, including, but not limited to, data-lean scenarios, where transfer learning, few-shot and zero-shot approaches would be expected to play an important role. Workshop format =============== This one-day workshop will consist of an oral and a poster session, together with a special session The oral session will feature talks by two invited speakers, as well as regular paper presentations. The workshop will be hybrid. We encourage all participants to be present, but will provide online access for those who are unable, or prefer not to travel. Special session: WebNLG Challenge on Under-Resourced Languages ========================================================= In line with the goals of MM-NLG, the workshop will include a special session dedicated to the recently launched, ongoing WebNLG 2023 Challenge, which focuses on generation for under-resourced languages in few-shot and zero-shot settings. More info here: https://synalp.gitlabpages.inria.fr/webnlg-challenge/challenge_2023/ Submission formats =================== We solicit two kinds of papers: - Long papers must not exceed eight (8) pages of content, plus unlimited pages of ethical considerations, supplementary material statements, and references. - Short papers must not exceed four (4) pages, plus unlimited pages of ethical considerations, supplementary material statements, and references. Submissions should follow ACL Author Guidelines and policies for submission, review and citation, and be anonymised for double blind reviewing. See https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines Please use ACL 2023 style files; LaTeX style files and Microsoft Word templates are available at https://2023.aclweb.org/calls/style_and_formatting Authors must honour the ethical code set out in the ACL Code of Ethics, available at https://www.aclweb.org/portal/content/acl-code-ethics If your work raises any ethical issues, you should include an explicit discussion of those issues. This will also be taken into account in the review process. You may find this checklist of use: https://aclrollingreview.org/responsibleNLPresearch/ Authors are strongly encouraged to ensure that their work is reproducible; see, e.g., the reproducibility checklist at https://2021.aclweb.org/calls/reproducibility-checklist/ Papers involving any kind of experimental results (human judgments, system outputs, etc) should incorporate a data availability statement into their paper. Authors are asked to indicate whether the data is made publicly available. If the data is not made available, authors should provide a brief explanation why. (E.g. because the data contains proprietary information.) A statement guide is available on the INLG 2023 website. Paper submission ================= The workshop will only accept direct submissions. Submissions can be made to the MM-NLG START website: https://softconf.com/n/mmnlg2023/ Accepted papers will be published in the Workshop proceedings on the ACL Anthology. Important dates ================ - Deadline for long and short papers: 16 July, 2023 - Notification of acceptance: 6 August, 2023 - Deadline for camera-ready papers: 14 August, 2023 - MM-NLG Workshop: 12 September, 2023 Organising committee ====================== Anya Belz, ADAPT, Dublin City University, Ireland Claudia Borg, University of Malta, Malta Liam Cripwell, CNRS/LORIA and Lorraine University, France Aykut Erdem, Koc University, Turkey Erkut Erdem, Hacettepe University, Turkey Claire Gardent, CNRS/LORIA, France Albert Gatt, Utrecht University, The Netherlands John Judge, ADAPT, Dublin City University, Ireland William Soto-Martinez, CNRS/LORIA and Lorraine University, France Support and acknowledgements ============================ This workshop is a joint initiative which has received the support of the following projects: - LT-Bridge funded by the EU Horizon 2020 Work Programme Spreading Excellence and Widening Participation (WIDESPREAD) 2018-2020 Grant No. 952194 https://lt-bridge.eu/ - The xNLG AI Chair on Multilingual, Multi-Source Text Generation funded by the French National Research Agency (Gardent; ANR-20-CHIA-0003), Meta and the Region Grand Est https://members.loria.fr/CGardent/xnlg.html - Multi3Generation: Multimodal, Multi-task, Multi-Lingual Natural Language Generation COST Action CA18231 https://multi3generation.eu/ ? Assoc. Prof. Aykut Erdem Ko? University College of Engineering Sariyer, TR-34450, Istanbul, Turkey https://aykuterdem.github.io -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahidullahmd at gmail.com Wed Jul 5 08:28:17 2023 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Wed, 5 Jul 2023 17:58:17 +0530 Subject: Connectionists: Call for Participation: ASVspoof 5 Challenge - Join the Fight Against Deepfake Speech Message-ID: *Apologies for cross-posting* Dear colleague, Are you skilled at generating synthesized or converted speech samples? Are you concerned about the potential implications of deepfake speech? Are you interested to contribute to advancing technology for detecting such 'fake' speech using machine learning? If yes, you are warmly invited to contribute to the fifth edition of the ASVspoof (Automatic Speaker Verification and Spoofing Countermeasures) challenge! ASVspoof is centered around the challenges to design spoofing-robust automatic speaker verification solutions and application-agnostic speech deepfake detectors. You may join us either as a data provider (phase 1) or as a challenge participant (phase 2). We are now inviting expressions of interest from potential data contributors. For further details, please refer to the ASVspoof 5 Evaluation Plan which can be downloaded from our website at: https://www.asvspoof.org/ Kind regards, On behalf of the ASVspoof 5 organising committee organisers at lists.asvspoof.org -- Md Sahidullah Assistant Professor, Institute for Advancing Intelligence, TCG CREST, India website: *https://sahidullahmd.github.io/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.hutt at inria.fr Wed Jul 5 06:15:14 2023 From: axel.hutt at inria.fr (Axel Hutt) Date: Wed, 5 Jul 2023 12:15:14 +0200 (CEST) Subject: Connectionists: Tutorial "Spectral Analysis of experimental neural signals" at the CNS 2023 Message-ID: <517029783.58174719.1688552114922.JavaMail.zimbra@inria.fr> Tutorial announcement ----------------------------------------------------------------- Spectral Analysis of experimental neural signals: Fundamentals and phase dynamics ----------------------------------------------------------------- at the Computational Neuroscience Conference in Leipzig, Germany (July 15 - 19, https://www.cnsorg.org/cns-2023) The spectral analysis of observed neural activity is essential in most experimental neuroscience research. To work with the meanwhile large number and types of spectral analysis techniques, it is important to understand in detail the fundamental aspects of sampling theory, Fourier analysis, and non-Fourier analysis. The tutorial will start with sampling theory and Fourier analysis of regular and non-regular sampled data. Subsequently, it will introduce to Fourier-motivated analysis methods for non-stationary signals, e.g., different spectral power measures and different time-frequency analysis techniques (windowed Fourier transform and continuous wavelet analysis). In this context, the notion of instantaneous phase will be explained and discussed in detail (Hilbert Transform, Phase-Amplitude coupling). The discussion of the topics will touch on theoretical aspects but will focus on more practical issues. It will be a hands-on tutorial with much information known from practice. -- Axel Hutt Directeur de Recherche Equipe MIMESIS INRIA Nancy Grand Est B?timent IHU 1, Place de l'Hopital 67000 Strasbourg, France https://mimesis.inria.fr/members/axel-hutt/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.cottereau at cnrs.fr Wed Jul 5 03:15:44 2023 From: benoit.cottereau at cnrs.fr (=?Windows-1252?Q?COTTEREAU_Beno=EEt?=) Date: Wed, 5 Jul 2023 07:15:44 +0000 Subject: Connectionists: =?windows-1252?q?Fully_funded_PhD_fellowships_in_?= =?windows-1252?q?computational_neurosciences_=28Benoit_Cottereau=92s_team?= =?windows-1252?q?=2C_Cerco=2C_CNRS_UMR_5549_in_Toulouse_and_IPAL_IRL_2955?= =?windows-1252?q?_in_Singapore=29_on_spatial_cognition_with_spiking_neura?= =?windows-1252?q?l_networks?= In-Reply-To: References: <4fa7f24149ab4e269bbc9a6dbe244c6e@cnrs.fr>, Message-ID: Fully funded PhD fellowships in computational neurosciences (Benoit Cottereau?s team, Cerco, CNRS UMR 5549 in Toulouse and IPAL IRL 2955 in Singapore) on spatial cognition with spiking neural networks Starting date: Second semester of 2023 Supervisors: Benoit Cottereau, research director at CNRS (Contact: benoit.cottereau at cnrs.fr), in close collaboration with Robby Tan, associate professor at National University of Singapore (NUS) Keywords: Computational neurosciences, Spatial cognition, Artificial intelligence (AI), Vision, Spiking neural networks, Event-based cameras. Fully funded PhD fellowships are available to work at the CNRS (Cerco laboratory in Toulouse and also IPAL in Singapore) under the supervision of Benoit Cottereau (CNRS research director), in close collaboration with Robby Tan (assistant professor at NUS, Singapore). The aim of the project is to develop computational models of spatial cognition in humans (e.g., for depth/motion perception or navigation). In order to reproduce the very low energy consumption of visual information processing in biological systems, these models will be based on spiking-neural networks (SNNs) and will process data collected from event-based cameras. These models will be evaluated with respect to biological data (their responses will be compared to those observed in neural recordings and/or in behavioural experiments). The candidates should be willing to work in an international environment which involves Singapore and France, have a good level in English, very good programming skills and be interested in neurobiology. Some knowledge in neurosciences/ cognitive sciences would be a plus. The research will mainly take place in Toulouse, a student city (Toulouse is the second university hub in France) with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean Sea and the Spanish border). Long stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. Each of the three positions will be fully funded during the three years of the PhD, with standard French salaries. Applications should be sent to benoit.cottereau at cnrs.fr, including a CV and 2 names of references. **************************************************************************************************** Benoit R. Cottereau, PhD, HDR, CNRS Research director (DR2) at the Brain and Cognition Research Center (CerCo, CNRS, UMR 5549, Toulouse): http://cerco.cnrs.fr/page-benoit-cottereau/ Director of the SV3M team (Spatial Vision in Man, Monkey and Machine): http://cerco.cnrs.fr/en/sv3m-spatial-vision-in-man-monkey-machine/ Supervisor of the Integrative Neurosciences master program of Toulouse III University e-mail: benoit.cottereau at cnrs.fr phone: (+33)-5-62744520 -------------- next part -------------- An HTML attachment was scrubbed... URL: From joe at selfmotion.net Wed Jul 5 13:09:11 2023 From: joe at selfmotion.net (Joe Monaco) Date: Wed, 05 Jul 2023 13:09:11 -0400 Subject: Connectionists: =?utf-8?q?NIH_BRAIN_Neuroethics_Workshop_on_Shari?= =?utf-8?q?ng_Human_Brain_Data_from_Biomedical_Research_=E2=80=93_July_17-?= =?utf-8?q?18=2C_2023?= Message-ID: <5e02fa13-e0ee-4524-a848-751c0ad0609f@app.fastmail.com> Dear colleagues, Accessibility, transparency, bias, and ethical risks for the sharing and reuse of human brain data are increasingly important considerations in neuroscience and artificial intelligence, including research that applies human brain data in modeling biological structures or building intelligent systems. You are invited to attend an upcoming Workshop on Ethics of Sharing Individual Level Human Brain Data Collected in Biomedical Research . This workshop, hosted by the BRAIN Neuroethics Working Group (NEWG), is scheduled as a two-part hybrid event virtually and in-person in Bethesda, Maryland on *Monday, July 17, 2023 and Tuesday, July 18, 2023 from approximately 10:00 AM ET ? 5:00 PM ET on both days.* Data sharing accelerates scientific progress and maximizes the societal value of research, providing an ethical imperative to share data. However, sharing human research data may involve potential risks to participants or communities. Some scholars have argued the risks of data sharing may be different for brain data than other types of biomedical data. The National Institutes of Health (NIH) in the US is committed to promoting responsible data sharing (NOT-OD-21-013 ). In order to put appropriate safeguards in place to manage potential risks of data sharing, a better understanding of what the risks are of sharing different types of human brain data is critical. The US BRAIN Initiative is at the forefront of data sharing in neuroscience at the NIH (see NOT-MH-19-010 ) and it has an opportunity to carefully consider these ethical challenges with the input of the BRAIN Neuroethics Working Group (NEWG). The workshop aims to explore meaningful ways to categorize human brain data by potential risks of data sharing. Additionally, resulting differences in how to treat the data will be considered. More information, including the workshop agenda and registration details , can be found on the workshop website . Workshop panels and speakers include: *Panel 1: The data that is collected and stored by neurotechnologies and the inferences that can be made from these data* ? Susie Huang, MD, PhD , Associate Professor of Radiology, Harvard Medical School ? Lorna Quandt, PhD , Associate Professor of Educational Neuroscience, Gallaudet University ? Doris Wang, MD, PhD , Assistant Professor of Neurosurgery, University of California at San Francisco, ? Jennifer Collinger, PhD , Associate Professor of Physical Medicine and Rehabilitation, University of Pittsburgh *Panel 2: Inferences to be drawn from data and their implications for data sharing* ? Conor Russomano , Founder and CEO, OpenBCI ? Alexander Huth, PhD , Assistant Professor of Neuroscience, University of Texas at Austin ? Jocelyn Ricard , Graduate Student, Stanford University ? Michael Young, MD , Associate Director, NeuroRecovery Clinic, Massachusetts General Hospital *Panel 3: The potential risks of sharing different types of human brain data* ? Russell Poldrack , PhD, Professor of Psychology, Stanford University ? Sara Berger, PhD , Senior Research Scientist, IBM *Panel 4: Research participants? perspectives on sharing human brain data* ? Nathan Copeland, Research participant ? Christine Von Raesfeld , Founder and CEO of People with Empathy ? Amy McGuire, JD, PhD , Leon Jaworski Professor of Biomedical Ethics and Director, Baylor College of Medicine *Workshop Details* More information, including the workshop agenda , can be found on the workshop website . *Registering for the event will enable you to attend the workshop and will ensure that you can receive updates about the products emerging from the workshop.* Please note that in-person workshop spots may be limited, so please register for in-person attendance by *Friday, July 7, 2023*. If you prefer to attend virtually, please register to attend to engage with workshop speakers. You can also watch via NIH Videocast at the links below: ? July 17, 2023 (10:00 a.m. ? 5:00 p.m. ET) ? July 18, 2023 (10:00 a.m. ? 5:00 p.m. ET) For workshop content-related questions, please contact Drs. Nina Hsu (nina.hsu at nih.gov) and Saskia Hendriks (saskia.hendriks at nih.gov). For technical assistance, please contact Ella Blue (ella.blue at roseliassociates.com). _______________________________________________ *Joseph D. Monaco, Ph.D.* Scientific Program Manager [C] (NINDS/OD) *Office of the BRAIN Director* joseph.monaco at nih.gov -------------- next part -------------- An HTML attachment was scrubbed... URL: From hussain.doctor at gmail.com Wed Jul 5 12:52:20 2023 From: hussain.doctor at gmail.com (Amir Hussain) Date: Wed, 5 Jul 2023 17:52:20 +0100 Subject: Connectionists: Job Vacancy: Post-doctoral Research Fellowship (deadline: 16 July 2023) In-Reply-To: References: Message-ID: Dear all: **please help circulate - thank you in advance** The UK EPSRC funded COG-MHEAR research programme (http://cogmhear.org) is recruiting for a *postdoctoral research fellow* in deep neural networks for multimodal hearing assistive technology, based at Edinburgh Napier University in Scotland, UK - please see details below. COG-MHEAR Research Fellow post (for up to 32 months - closing date: 16th July 2023): https://jobs.napier.ac.uk/mthrprod_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=219252GT8y&WVID=4376296Olf Kindest regards Amir --- Professor Amir Hussain Programme Director: UK EPSRC COG-MHEAR (http://cogmhear.org) Director: Centre of AI and Robotics School of Computing, Engineering & Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, Scotland, UK E-mail: a.hussain at napier.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Wed Jul 5 12:20:29 2023 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Wed, 5 Jul 2023 17:20:29 +0100 Subject: Connectionists: First edition of the Seeing and Acting Workshop (SAW). University of Coimbra, Portugal, 21-23 September 2023 Message-ID: Dear colleague, We are very pleased to announce the first edition of the *Seeing and Acting Workshop (SAW)* that will take place at the Faculty of Psychology and Educational Sciences of the University of Coimbra, *September 21-23, 2023* in Coimbra, Portugal. For the first edition of SAW, we have an exciting and stimulating group of Invited Speakers: ? *Laurel Buxbaum*, Moss Rehabilitation Research Institute, USA ? *Erez Freud*, York University, Canada ? *Leyla Isik*, Johns Hopkins University, USA ? *Nancy Kanwisher*, Massachusetts Institute of Technology, USA ? *Bradford Mahon*, Carnegie Mellon University, USA ? *Alex Martin*, National Institute of Health, USA ? *Ricarda Schubotz*, University of M?nster, Germany The goal of SAW is to provide a forum for cognitive science/neuroscience researchers from a range of perspectives who are interested in Perception and Action, broadly construed, to come together to discuss their research and develop new directions and collaborations. The format of the workshop is intended to encourage extensive discussion among participants. To this end, we have scheduled only a small number of invited speakers, and there are no concurrent talks. In addition to the individual seminars, there will be a poster session for students, postdocs and other researchers to present their work. *Abstract submission for posters closes on September 1, 2023*. The five best abstracts whose first author is a student or postdoc will receive a 200 euro award sponsored by ANTneuro. Registration for the workshop is now open. To register, submit a poster abstract, or for more information, please visit: https://www.uc.pt/cogbooster/saw/2023/ Please note that there are a limited number of places (~120), which will be assigned on a first come, first served basis. To secure your place, please register as soon as possible. Note that you can register now and submit an abstract later (but before the September 1, 2023 deadline). SAW is powered by the ERA Chair CogBooster, and by the Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal. Workshop Organizers: Jorge Almeida, Alfonso Caramazza, Paul Downing, Mel Goodale, Zoe Kourtzi, Angelika Lingnau, and Isabel Pav?o Martins [image: cartaz SAW em jpg.jpg] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: cartaz SAW em jpg.jpg Type: image/jpeg Size: 705678 bytes Desc: not available URL: From hocine.cherifi at gmail.com Thu Jul 6 08:56:13 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 6 Jul 2023 14:56:13 +0200 Subject: Connectionists: SUBMIT YOUR WORK TO COMPLEX NETWORKS 2023 BEFORE SEPT. 02, 2023 Message-ID: *12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera , France November 28 - 30, 2023 COMPLEX NETWORKS 2023 You are cordially invited to submit your contribution until *September 02, 2023*. *SPEAKERS* ? Michael Bronstein University of Oxford UK ? Kathleen Carley Carnegie Mellon University USA ? Manlio De Domenico University of Padua Italy ? Danai Koutra University of Michigan USA ? Romualdo Pastor-Satorras Univ. Polit?cnica de Catalunya Spain ? Tao Zhou USTC China *TUTORIALS* ? Tiago de Paula Peixoto CEU Vienna Austria ? Maria Liakata Queen Mary University of London UK *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) -------------- next part -------------- An HTML attachment was scrubbed... URL: From gualtiero.volpe at unige.it Thu Jul 6 10:19:31 2023 From: gualtiero.volpe at unige.it (Gualtiero Volpe) Date: Thu, 6 Jul 2023 16:19:31 +0200 (CEST) Subject: Connectionists: * Extended deadline * Call for Late Breaking Results, ACM International Conference on Multimodal Interaction (ICMI2023) Message-ID: <1998352784.56.1688653171474@DESKTOP-F3QSVQ5> *** Deadline extended to July 21st, 2023 *** ======================================================== ACM ICMI 2023 CALL FOR LATE-BREAKING RESULTS 9-13 October 2023, Paris - France https://icmi.acm.org/2023/late-breaking-results/ ======================================================== Based on the success of the LBR in the past ICMI, the ACM International Conference on Multimodal Interaction (ICMI) 2023 continues soliciting submissions for the special venue titled Late-Breaking Results (LBR). The goal of this venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the new Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues. Online Submission For online paper submissions, please click on the following link: https://new.precisionconference.com/user/login?next=https%3A//new.precisionconference.com/submissions/icmi23a Highlights * Submission deadline: July 21st, 2023, 23:59 PDT (GMT-7) *** EXTENDED *** * Notifications: August 13th, 2023 * Camera-ready deadline: September 3rd, 2023 * Conference Dates: October 9-13, 2023 * Submission format: Anonymized, short paper (four-page paper in a double column format, not including references), following the submission guidelines, available here: https://icmi.acm.org/2023/guidelines-for-authors/ * Selection process: Peer-Reviewed * Presentation format: Participation in the conference poster session * Proceedings: Included in Adjunct Proceedings and ACM Digital Library * LBR Co-chairs: Jean-Marc Odobez and Chi-Chun Lee What are Late-Breaking Results? Late-Breaking Work (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting edge or emerging work that is still in exploratory stages, smaller-scale studies, or in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track. Why submit to the Late-Breaking Results track at ICMI? Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR (posters) track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field. Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are "significant" revisions from the original, as per the ACM and ACM SIGCHI policies. Submission Guidelines Extended Abstract: An anonymized short paper, four-page paper in a double column ACM conference format, using LaTeX or Word (excluding references). Papers should follow the same guidelines as papers published in the proceedings of the ACM ICMI conference: https://icmi.acm.org/2023/guidelines-for-authors/. The paper should be submitted in PDF format and through the ICMI submission system in the ?Late-Breaking Results? track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version and no deadline extensions can be granted. Anonymization: Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR to prior work, authors should not remove or anonymize references to their own prior work. Instead, we recommend that authors obscure references to their own prior work by referring to it in the third person during submission. If desired, after acceptance, such references can be changed to first-person. Review Process LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it "fits" the LBR track (e.g., in-progress results). More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Authors should clearly justify how the proposed ideas can bring some measurable breakthroughs compared to the state-of-the-art of the field. Attendance Similar rules for registration and attendance will be applied for authors of LBR papers as for regular papers. Further information will be available later on and given on the main page of the website. Questions? For more information and updates on the ICMI 2023 Late-Breaking Results (LBR), visit the LBR page of the main conference website: https://icmi.acm.org/2023/late-breaking-results/. For further questions, contact the LBR co-chairs (Jean-Marc Odobez and Chi-Chun Lee) at icmi2023-late-breaking-results-chairs at acm.org From mathislamarre at gmail.com Thu Jul 6 06:12:35 2023 From: mathislamarre at gmail.com (Mathis Lamarre) Date: Thu, 6 Jul 2023 12:12:35 +0200 Subject: Connectionists: Job Opening: PostDoc position @TU Berlin on Computational Cognitive Neuroscience of Language in collaboration with UC Berkeley Message-ID: [Deadline extended] We are looking for a highly motivated researcher to join our group in interdisciplinary projects that focus on the development of computational models to understand how linguistic information is represented in the human brain during multi-modal language comprehension. Computational encoding models in combination with deep learning-based machine learning techniques will be developed, compared, and applied to identify linguistic representations in the brain. The projects are conducted in collaboration with UC Berkeley. Please find further details about the positions and how to apply here. Employer: TU Berlin Salary grade: TV-L 13 Berliner Hochschulen Starting date: Immediately The application deadline is July 17th. For informal inquiries please contact Fatma Deniz (deniz at tu-berlin.de) directly. -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.reinke85 at gmail.com Fri Jul 7 04:03:43 2023 From: c.reinke85 at gmail.com (Chris Reinke) Date: Fri, 7 Jul 2023 10:03:43 +0200 Subject: Connectionists: [Master Internship] Social Robotics with ChatGPT at Inria Grenoble, France Message-ID: Social Robotics with ChatGPT Project The internship aims to develop a controller for a social mobile robot [1] to have a conversation with people using large language models (LLMs) such as ChatGPT [2]. The internship is part of our European SPRING project [3]. SPRING aims to develop mobile robots that will be employed in healthcare environments. The robots should communicate with patients, their families, and caretakers to inform, aid, and entertain them. Task During your internship, you will develop a controller (Python, ROS [4]) for ARI, our social robot. The controller has the following tasks: 1) navigate towards a human (or group), 2) have a conversation with it (or them), and 3) leave the conversation. For this controller, you will use existing components from the SPRING project such as mapping and localization of the robot and humans, human-aware navigation, speech recognition, and a simple dialogue system based on ChatGPT. Your task will be to combine these components to create a compelling behavior for the robot. Moreover, you will focus on investigating how to optimally use LLMs such as ChatGPT to have a natural and comfortable conversation with the robot, for example, by using prompt engineering [5]. You will have to compare different techniques and report your experimental results in a comprehensive manner in the form of a small research paper. During the internship, you will have the chance to develop and implement your own ideas to improve the conversation with the robot, for example, by investigating gaze, gestures, or emotions. Team You will join the RobotLearn team [6], an international team of researchers, students, and engineers at Inria Grenoble [7]. The team has a strong background in audio-visual computation and its application to robotics. The team is headed by Xavier Alameda-Pineda [8]. You will be supervised by Chris Reinke (Postdoc) [9], Xavier, and our robotic engineers during your internship. Requirements Our main requirements are 1) motivation, 2) general knowledge of Machine Learning and Artificial Intelligence, and 3) knowledge of Python programming. Knowledge of robotics and natural language programming is NOT mandatory but a plus. Conditions The internship should start in the second half of 2023. It has a duration of 5 to 6 months. There will be a compensation of 500 - 600 Euro per month. Additionally, you will receive subsidized lunch meals (one lunch costs 2 - 4 Euro). You will have a dedicated working space at Inria and access to our social robotic platform. Application Please send an e-mail to chris.reinke at inria.fr including a paragraph about your motivation, your CV, and a recent transcript of your grades. References - TODO [1] https://pal-robotics.com/robots/ari/ [2] OpenAI. (2023). ChatGPT [Large language model]. https://openai.com/chatgpt [3] SPRING (Socially Pertinent Robots in Gerontological Healthcare). https://spring-h2020.eu/ [4] ROS - Robot Operating System. https://www.ros.org/ [5] White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., ... & Schmidt, D. C. (2023). A prompt pattern catalog to enhance prompt engineering with chatgpt. arXiv preprint arXiv:2302.11382 . [6] https://team.inria.fr/robotlearn/ [7] https://www.inria.fr/fr/centre-inria-grenoble-rhone-alpes [8] http://xavirema.eu/ [9] http://scirei.net/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From elliot.j.crowley at ed.ac.uk Fri Jul 7 05:10:29 2023 From: elliot.j.crowley at ed.ac.uk (Elliot Crowley) Date: Fri, 7 Jul 2023 09:10:29 +0000 Subject: Connectionists: Job opening: Postdoc position at the University of Edinburgh in NAS/AutoML (ddl 31st July) Message-ID: <669E32E1-0529-44CA-9648-68818427578B@ed.ac.uk> We have a position for a postdoctoral research associate to work on NAS and AutoML with Dr Elliot J. Crowley (https://elliotjcrowley.github.io/) and the Bayesian and Neural Systems Group (https://www.bayeswatch.com/). The successful applicant will be based in the School of Engineering at the University of Edinburgh, and will have opportunities for collaboration within and outside of the school e.g. with colleagues in the Institute for Digital Communications and the Bayesian and Neural Systems Group. This position is funded for 24 months (provisional start date: November 2023) and the salary is UE07 ?36,333 - ?43,155 Per Annum. Essential requirements: A PhD in machine learning (ML) or a closely related subject A track record of publications at top-tier venues in ML-driven fields e.g. NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, IEEE PAMI, JMLR Strong programming skills and experience with ML frameworks in Python e.g. Pytorch, Tensorflow Excellent communication skills, both oral and written A demonstrable ability to work both individually and on collaborative research projects Previous research in NAS or other areas of AutoML is desirable, but not essential. The full advert, and the link to apply are at: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/7886 The deadline is 31st July. Please email elliot.j.crowley at ed.ac.uk for informal inquiries. The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th? ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.reinke85 at gmail.com Fri Jul 7 04:00:09 2023 From: c.reinke85 at gmail.com (Chris Reinke) Date: Fri, 7 Jul 2023 10:00:09 +0200 Subject: Connectionists: [Master Internship] Deep Statistical Manifolds at Inria Grenoble, France Message-ID: Deep Statistical Manifolds Project The internship aims to explore the usefulness of the Fisher-R?o [1] metric combined with deep probabilistic models [2]. The main question is whether or not this metric has some relationship with the training of deep generative models. In plain, we would like to understand if the training and/or fine-tuning of such probabilistic models follow optimal paths on the manifold of probability distributions [3]. Task Your task will be to design and implement an experimental framework allowing to measure what kind of paths are followed on the manifold of probability distributions when such deep probabilistic models are trained. To that aim, one must first be able to measure distances in this manifold, and here is where the Fisher-R?o metric comes in the game. The candidate does not need to be familiar with the specific concepts of Fisher-R?o metric, but needs to be open to learning new mathematical concepts. The implementation of these experiments will require knowledge in Python and in PyTorch. Team You will join the RobotLearn team [4], an international team of researchers, students, and engineers at Inria Grenoble [5]. The team has a strong background in machine learning for audio-visual computation and its application to robotics, and in particular with deep generative models. The team is headed by Xavier Alameda-Pineda [6], who will be your supervisor, together with Xiaoyu Lin (PhD student) [7]. Requirements Our main requirements are 1) motivation, 2) general knowledge of Machine Learning and Mathematics, and 3) knowledge of Python programming. Knowledge of Riemannian geometry or differential geometry in general is a plus but it is NOT mandatory. Conditions The internship should start in the second half of 2023. It has a duration of 5 to 6 months. There will be a compensation of 500 - 600 Euro per month. Additionally, you will receive subsidized lunch meals (one lunch costs 2 - 4 Euro). You will have a dedicated working space at Inria with a workstation that has a GPU. Moreover, you will have access to one CPU and two GPU clusters to run experiments. Application Please send an e-mail to xavier.alameda-pineda at inria.fr including a paragraph about your motivation, your CV, and a recent transcript of your grades. References [1] Fisher-R?o metric in Wikipedia: https://en.wikipedia.org/wiki/Fisher_information_metric [2] Girin, Laurent, et al. ?Dynamical variational autoencoders: A comprehensive review.? Foundations and Trends in Machine Learning, 2021. [3] Statistical manifolds in Wikipedia: https://en.wikipedia.org/wiki/Statistical_manifold [4] https://team.inria.fr/robotlearn/ [5] https://www.inria.fr/fr/centre-inria-grenoble-rhone-alpes [6] http://xavirema.eu/ [7] https://team.inria.fr/robotlearn/team-members/xiaoyu-lin/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Chloe.BOURGEOIS at univ-cotedazur.fr Fri Jul 7 05:32:22 2023 From: Chloe.BOURGEOIS at univ-cotedazur.fr (Chloe Bourgeois) Date: Fri, 7 Jul 2023 09:32:22 +0000 Subject: Connectionists: =?iso-8859-1?q?Master_of_Science_=22Modeling_for_?= =?iso-8859-1?q?Neuronal_and_Cognitive_Systems=22_at_Universit=E9_C=F4te_d?= =?iso-8859-1?q?=27Azur_-_Apply_until_the_20th_of_July!?= Message-ID: The M.Sc. program "Modeling for Neuronal and Cognitive Systems" at Universit? C?te d'Azur is still recruiting its new students! This international Master of science is interdisciplinary and related to computational approaches in neuroscience/cognitive science. Check our website for eligibility criteria and more info about the program: https://univ-cotedazur.eu/msc/modeling-for-neuronal-and-cognitive-systems Applications must be submitted via the online platform ecandidat, until the 20th of July 2023. Thanks for sharing this announcement as widely as possible. Contact: msc-mod4neucog at univ-cotedazur.fr Kind regards, -- Chlo? Bourgeois Responsable Administrative Institut NeuroMod 2004 Route des Lucioles 06902 Sophia-Antipolis Tel. : +33 (0)4 89 73 24 99 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Samuel.Neymotin at nki.rfmh.org Fri Jul 7 11:48:55 2023 From: Samuel.Neymotin at nki.rfmh.org (Neymotin, Samuel (NKI)) Date: Fri, 7 Jul 2023 15:48:55 +0000 Subject: Connectionists: Comp. Neurosci. postdoc position - NY Message-ID: Postdoctoral scientist positions are available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org/) to work on computational neuroscience research funded by NIH and DoD grants. Applicants should have a PhD in computational neuroscience (or a related field), strong background in multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. Applicants should send the following information to the computational neuroscience lab PI (Sam Neymotin; samuel.neymotin at nki.rfmh.org): 1. Curriculum vitae (.pdf, required) 2. Cover letter describing your research interests, relevant experience, and career goals 3. At least one academic writing sample 4. Referrer's Contact Information/Recommendation Letter Applications will be considered and interviews offered (for qualified applicants) as they are received. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at as-mediendesign.com Fri Jul 7 09:21:54 2023 From: info at as-mediendesign.com (Team as mediendesign) Date: Fri, 7 Jul 2023 15:21:54 +0200 Subject: Connectionists: TU Braunschweig offers a W3 Full Professorship for Artificial Intelligence in interactive Systems Message-ID: <239A2A86-B6ED-4B34-BF0B-3833C5B34417@as-mediendesign.com> With nearly 17,000 students and 3,800 staff members, Technische Universit?t Braunschweig is the largest Institute of Technology in Northern Germany. It stands for a strategic and achievement-oriented way of thinking and acting, relevant research, exceptional teaching and the successful transfer of knowledge and technologies to industry and society. We consistently advocate family friendliness and equal opportunities. We focus our research on mobility, engineering for health, metrology, and future city. Our core disciplines include a comprehensive engineering branch and a strong natural sciences branch, closely linked with business sciences, social sciences, humanities and educational sciences. Our campus is located at the heart of one of Europe?s most active research regions. We cooperate closely and successfully with more than 20 research institutions right on our doorstep and maintain strong relationships with our partner universities all over the world. Carl-Friedrich-Gau?-Fakult?t Department of Computer Science We offer a W3 Full Professorship for Artificial Intelligence in interactive Systems to be filled at the earliest possible date. We are looking for an internationally recognized personality in the field of Artificial Intelligence/?Machine Learning with experience in building up and leading a research group as well as in raising third-party funds. The newly established professorship will expand the research area of data-driven methods for interactive and intelligent systems at the TU Braunschweig and strengthen the focal points "Data Science" and "Reliability" of the Department of Computer Science. The position holder has a strong background in Computer Science with a focus on Artificial Intelligence/?Machine Learning, specifically in the areas of Dependable AI and Explainable AI. Applicants should possess a method-oriented research focus on machine learning and have made internationally recognized contributions to at least one of the current research areas such as neural networks, generative and adversarial models, online and transfer learning, federated learning, (deep) reinforcement learning, probabilistic inference, graphical models, and/or MDP/?POMDP. A researcher is sought who is able to combine the theoretical-methodological investigation and development of learning methods with applications in interactive intelligent systems, for example in autonomous robots, intelligent virtual agents, or intelligent networked production systems. Suitable applicants are expected to show an active interest in the concrete implementation of cognitive abilities in technical systems, ensuring compatibility with partners in engineering and natural sciences. With his/her research performance, the position holder will enhance the international visibility of TU Braunschweig in the field of Artificial Intelligence. In teaching, topic-related courses in the areas of Artificial Intelligence and Machine Learning shall complement the Bachelor's and Master's degree programs of the Department of Computer Science. In particular, the topic of Machine Learning/?Artificial Intelligence is to be anchored in undergraduate teaching with a new compulsory Bachelor course. Participation in the academic self-administration of the university is expected as well as the willingness to actively shape computer science at the TU Braunschweig. Our expectations Internationally recognized research personality in the field of artificial intelligence/machine learning Profound knowledge of computer science Successful acquisition of third-party funding Experience in establishing and leading an own research group Teamwork, management and leadership skills Commitment to Bachelor's and Master's degree programs in Computer Science, Data Science, Information Systems Engineering, and Information Systems, particularly with regard to undergraduate education in the field of machine learning Very good command of the English language and willingness to teach courses in English Willingness to engage in interdisciplinary collaborations Commitment to increasing the internationalization and international visibility of the TU Braunschweig. Willingness to participate in the self-governance of the university Requirements, ? 25 NHG Completed university studies Pedagogical suitability, proof of this is to be provided by a teaching sample Special qualification for deepended independent scientific work, which is usually demonstrated by an above-average doctorate Additional academic achievements, usually within the framework of a junior professorship, a post-doctoral lecture qualification (Habilitation) or achievements equivalent to a habilitation. Notes At TU Braunschweig, we aim to increase the share of women in academic positions and therefore particularly welcome applications from women. Where candidates have equivalent qualifications, preference will be given to female candidates. Applications from international scientists are welcome. Where candidates have the same qualifications, preference will be given to disabled candidates. It is a permanent full-time position. A part-time appointment may be possible on request. Applicants who are 50 years or older at the time the appointment commences and who have not acquired permanent civil servant status (Beamtenverh?ltnis auf Lebenszeit) will be employed with employee status (Angestelltenverh?ltnis). Deadline for application The application deadline is 2023-08-31. Contact For more information, please contact the chair of the Appointments Committee Prof. Dr.-Ing. Marcus Magnor Tel. +49 531 391-2101 m.magnor at tu-braunschweig.de We are looking forward to your application! The application should contain the usual documents. Please address your application to Prof. Dr. Dirk Konietzka, Dean of the Carl-Friedrich-Gau?-Fakult?t, TU Braunschweig, and apply via online portal of TU Braunschweig. Apply-Link: http://bitly.ws/K55z -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Jul 8 02:08:07 2023 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 8 Jul 2023 08:08:07 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Summer: regular registration July 14 Message-ID: <1518683875.2397758.1688796487375@webmail.strato.com> ************************************************************************ 10th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://deeplearn.irdta.eu/2023su/ ************************************************************************ Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ************************************************************************ Regular registration: July 14, 2023 ************************************************************************ FRAMEWORK: DeepLearn 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of BigDat 2023 Summer. DeepLearn 2023 Summer participants will have the opportunity to attend lectures in the program of BigDat 2023 Summer as well if they are interested. SCOPE: DeepLearn 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth and Bari. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, 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 14 four-hour and a half courses, 2 keynote lectures and 1 round table, 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 employment 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 Summer 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 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Instituci?n Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/ STRUCTURE: 2 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. Also, if interested, participants will be able to attend courses developed in BigDat 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Alex Voznyy (University of Toronto), Comparison of Graph Neural Network Architectures for Predicting the Electronic Structure of Molecules and Solids Aidong Zhang (University of Virginia), Concept-Based Explainable Deep Learning Models PROFESSORS AND COURSES: Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Large Language Model Era Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning in Science Nat?lia Cordeiro (University of Porto), [introductory/intermediate] Multi-Tasking Machine Learning in Drug and Materials Design Daniel Cremers (Technical University of Munich), [introductory/intermediate] Deep Networks for 3D Computer Vision Stefano Giagu (Sapienza University of Rome), [introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits Georgios Giannakis (University of Minnesota), [intermediate/advanced] Learning from Unreliable Labels via Crowdsourcing Marcus Liwicki (Lule? University of Technology), [intermediate/advanced] Methods for Learning with Few Data Chen Change Loy (Nanyang Technological University), [introductory/intermediate] Image and Video Restoration Deepak Pathak (Carnegie Mellon University), [intermediate/advanced] Continually Improving Agents for Generalization in the Wild Bj?rn Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Amos Storkey (University of Edinburgh), [intermediate] Meta-Learning and Contrastive Learning for Robust Representations Ponnuthurai N. Suganthan (Qatar University), [introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures Savannah Thais (Columbia University), [intermediate] Applications of Graph Neural Networks: Physical and Societal Systems Lihi Zelnik-Manor (Technion - Israel Institute of Technology), [introductory] Introduction to Computer Vision and the Ethical Questions It Raises OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 9, 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 July 9, 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 organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023. ORGANIZING COMMITTEE: Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria) Marisol Izquierdo (Las Palmas de Gran Canaria, 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://deeplearn.irdta.eu/2023su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in BigDat 2023 Summer. 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://deeplearn.irdta.eu/2023su/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: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria - Fundaci?n Parque Cient?fico Tecnol?gico Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From Gennaro.CORDASCO at unicampania.it Sun Jul 9 06:00:25 2023 From: Gennaro.CORDASCO at unicampania.it (Gennaro Cordasco) Date: Sun, 9 Jul 2023 10:00:25 +0000 Subject: Connectionists: Final Call For Papers - 35th IEEE International Conference on Tools with Artificial Intelligence - Nov. 6-8, 2023 - Atlanta, GA, USA. Message-ID: Dear Colleagues, The 35th IEEE International Conference on Tools with Artificial Intelligence (ICTAI) organizing committee is inviting you to submit your research papers. The conference will be held in person, on November 6-8, 2023 in Atlanta. SUBMISSION DEADLINE HAS BEEN EXTENDED to JULY 21, 2023 (Firm deadline). We look forward to your submissions on Easy Chair at: https://easychair.org/conferences/?conf=ictai2023 Details on the conference venue and registration will appear on the ICTAI 2023 website: https://ictai.computer.org/2023/ SO PLEASE KEEP IN MIND THE FOLLOWING IMPORTANT DATES Deadline Paper submission: July 21, 2023 () Acceptance notification: August 24, 2023 Camera-ready: September 20, 2023 The IEEE International Conference on Tools with Artificial Intelligence (ICTAI) is a leading IEEE-CS annual scientific meeting for three decades. It provides a major international forum where the creation and exchange of ideas related to artificial intelligence are fostered among academia, industry, and government agencies. The conference facilitates the cross-fertilization of these ideas and promotes their transfer into practical tools, for developing intelligent systems and pursuing artificial intelligence applications. The ICTAI encompasses all technical aspects of specifying, developing, and evaluating the theoretical underpinnings and applied mechanisms of the AI-based components such as algorithms, architectures, and languages. Topics include (but not limited to): 1. AI Foundations 2. AI in Domain-specific Applications 3. AI in Computer Systems 4. AI in Data Analytics, Data Mining and Big Data 5. AI in Smart Cities 6. AI Synergistic Models 7. Machine Learning 8. Knowledge Representation, Reasoning, Cognition 9. AI and Decision Systems 10. Uncertainty in AI 11. AI and Societal Impact Paper submission: SUBMISSION should be made through the Easy Chair link: https://easychair.org/conferences/?conf=ictai2023 The submissions should contain original, high quality, not submitted or published elsewhere work. Papers should be submitted electronically in pdf and should conform to IEEE specifications (single spaced double column, 10 point font size, up to maximum 8 pages). Proceedings: All accepted papers will be examined by at least two-three reviewers of the program committee. All presented papers will be included in proceedings of ICTAI 2023 published by the IEEE Computer Society. Special Issues Extended versions of the conference best papers will be invited for publication in various IEEE and Int. Journals. ICTAI provide several financial awards to the top-5 best student papers and to the ICTAI Best Paper Award ICTAI 2023 INVITED SPEAKERS: Dr. Wendy Nilsen, National Science Foundation, Alexandria, VA, USA Professor Dr Bj?rn W. Schuller, Imperial College London, UK Dr. Daniel Koller, Director Office of Naval Research, Arlington, VA,USA Professor Dr. Sukarno Mertoguno, Georgia Institute of Technology, Atlanta, GA, USA ICTAI 2023 organizing committee General Chair Anna Esposito, University of Campania, Italy Program Chairs Ming Yang, Kennesaw State University, GA, USA Gennaro Cordasco, University of Campania, Italy Financial-Registration Chairs Michail Alexiou, GIT, Atlanta, GA, USA Zhigang Li, Kennesaw State University, GA, USA Local Web Chair Narayana Varma Addepalli, Kennesaw State University, GA, USA Publicity Chairs Carmela Comito, ICAR-CNR, Italy Jian Yu, Tianjin University, China Chloe Xie, Kennesaw State University, GA, USA From er.anubajaj at gmail.com Sat Jul 8 02:57:49 2023 From: er.anubajaj at gmail.com (er.anubajaj at gmail.com) Date: Sat, 8 Jul 2023 06:57:49 +0000 Subject: Connectionists: First CFP: 13th Information and Communication Technologies (WICT 2023) -- Hybrid Event - Springer Publication Message-ID: ** First Call for Papers - please circulate this CFP to your colleagues and networks ** -- The 13th World Congress on Information and Communication Technologies (WICT'23) -- WICT 2023 Theme: ICT in the Generative AI World =============================================== http://www.mirlabs.org/wict23 http://www.mirlabs.net/wict23 Onsite and On the World Wide Web Onsite Venues: Olten, Switzerland : https://en.wikipedia.org/wiki/Olten Porto, Portugal : https://en.wikipedia.org/wiki/Porto Vilnius, Lithuania : https://en.wikipedia.org/wiki/Vilnius Kochi, India : https://en.wikipedia.org/wiki/Kochi December 14-15, 2023 WICT 2023 will be a hybrid conference that will run fully in-person and fully virtually to take advantage of the best that the two modalities can offer. Besides regular paper presentations, the technical programme will include 8-10 plenary lectures and poster sessions. WICT 2023 Organising Committee also recognises the benefits of virtual conferences allowing participation at a cheaper rate. This allows a higher number of research scholars and students to attend. Selected authors will have the option to attend and present the papers virtually or present in one of the three venues in Europe and Asia. Proceedings of WICT'23 will be published with Springer Verlag in their Lecture Notes in Networks and Systems (LNNS) series. (https://www.springer.com/series/15179) (Approval Pending) Proceedings of WICT'22: https://link.springer.com/book/10.1007/978- 3-031-27499-2 Indexed by: SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago History of WICT series: http://www.mirlabs.net/wict23/previous.php **Important Dates** --------------------- Paper submission due: September 30, 2023 Notification of paper acceptance: October 31, 2023 Registration and Final manuscript due: November 10, 2023 Conference: December 14-15,2023 **About WICT 2023** ------------------ After the success of the 12th World Congress on Information and Communication Technologies (WICT 2022), we are organizing WICT 2023 to provide an opportunity for the researchers from academia and industry to meet and discuss the latest solutions, scientific results and methods in the usage and applications of ICT in the real world. The conference programme will include workshops, special sessions and tutorials, along with prominent keynote speakers and regular paper presentations in parallel tracks. In the past century, our society has been through several periods of dramatic changes, driven by innovations such as transportation systems, telephone etc. Last few decades have experienced technologies that are evolving so rapidly, altering the constraints of space and time, and reshaping the way we communicate, learn and think. Rapid advances in information technologies and other digital systems are reshaping our ecosystem. Innovations in ICT allow us to transmit information quickly and widely, propelling the growth of new urban communities, linking distant places and diverse areas of endeavor in productive new ways, which a decade ago was unimaginable. Thus, the theme of this World Congress is "Innovating ICT For Social Revolutions". **Topics (not limited to)** --------------------------- Bioinformatics and Computational Biology Computer Graphics and Virtual Reality Data Mining e-Learning e-Business e-Government Artificial Intelligence Web Services and Semantic Web Grid and Cloud Computing Ambient Intelligence Body Sensor Networks Computational Finance and Economics Cybercrime (Legal and Technical Issues) Computer Network Security Data Mining for Information Security Academic Integrity, Plagiarism Detection and Software Misuse Intrusion Detection and Forensics Scheduling For Large Scale Distributed System Nature Inspired Optimization Algorithms And Their Applications The Role of Technology in Education and Health Data Management Collaborative Design in Knowledge-based Environment Software Engineering **Submission Guidelines** ------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: https://www.springer.com/de/authors-editors/book-authors-editors/manuscript- preparation/5636#c3324 WICT?23 Submission Link: http://www.mirlabs.org/wict23/submission.php **WICT 2023 Organization** ------------------------- General Chairs Ajith Abraham, Machine Intelligence Research Labs, USA Thinakaran Perumal, Universiti Putra Malaysia, Malaysia Virgilijus Sakalauskas, Vilnius University, Lithuania Program Chairs Dalia Kriksciuniene, Vilnius University, Lithuania Yunchuan Sun, Beijing Normal University, China Ryotaro Kamimura, Tokai University, Japan Publication Chair Anu Bajaj, Thapar Institute of Engineering and Technology, India Web Services Chair Kun Ma, University of Jinan, China Publicity Chair Pooja Manghirmalani Mishra, Machine Intelligence Research Labs, India International Program Committee TBA Note: If you would like to propose a special session, please email Ms. Mabrouka Salmi with a cc to Dr. Anu Bajaj **Technical Contact** --------------------- Dr. Ajith Abraham Email: ajith.abraham at ieee.org [image: Mail Merge for Gmail] made and sent with Mail Merge Email Marketing from Gmail -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Sat Jul 8 04:34:06 2023 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Sat, 8 Jul 2023 10:34:06 +0200 Subject: Connectionists: LAST but not least CfP - FAPER 2023 deadline extended to 12 July Message-ID: *keywords: fine arts, cultural heritage, AI, computer vision, multimedia* _________________________________________________________________________ 3rd International Workshop on Fine Art Pattern Extraction and Recognition ?? ???????????????????????? *F A P E R*? 2023 ?????????????????? Udine, Italy, September 11, 2023 _________________________________________________________________________ inside the Digital Humanities Hub of the 22st International Conference on Image Analysis and Processing (ICIAP 2023) https://sites.google.com/view/faper2023 *extended submission deadline*: July 12, 2023 ___ *Aim & Scope* ___ Cultural heritage, especially fine arts, plays an invaluable role in our societies? cultural, historical, and economic growth. Fine arts are primarily developed for aesthetic purposes and are mainly expressed through painting, sculpture, and architecture. In recent years, thanks to technological improvements and drastic cost reductions, a large-scale digitization effort has been made, which has led to the increasing availability of large digitized fine art collections. This availability, coupled with recent advances in computer vision, has disclosed new opportunities, especially for researchers in this field, to assist the art community with automatic tools to analyze and better understand fine arts. Among other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a broader population, both in terms of fruition and creation, thus supporting the spread of culture. The workshop aims to provide an international forum for those wishing to present advancements in state-of-the-art, innovative research, ongoing projects, and academic and industrial reports on applying visual pattern extraction and recognition for a better understanding and fruition of fine arts. The workshop solicits contributions from computer vision and pattern recognition, artificial intelligence, and image processing. ___ *Topics* ___ Topics of interest include, but are not limited to: - Computer vision and multimedia data processing for fine arts - Creative AI - 3D reconstruction of historical artifacts - Content-based retrieval in the art domain - Point cloud segmentation and classification for cultural heritage - Smart interactive experiences in cultural sites - Art history and computer vision - Visual question answering and artwork captioning - Projects, products, or prototypes for cultural heritage restoration, preservation, and fruition ___ *Workshop modality* ___ The workshop will be held in presence. ___ *Submission guidelines* ___ All submissions will be handled electronically through CMT via a link that will be shared soon. For the preparation of the paper, please follow the guidelines provided by Springer. The maximum number of pages is 12, including references. Papers will be selected through a double-blind review process, considering originality, significance, clarity, soundness, relevance, and technical content. Once accepted, at least one author is expected to attend the event and give an oral presentation of the paper. Accepted papers will be included in the Proceedings of ICIAP 2023, which Springer will publish as Lecture Notes in Computer Science (LNCS). ___ *Important Dates* ___ - *Extended* workshop submission deadline: July 12, 2023 - Author notification: July 21, 2023 - Camera-ready submission: July 31, 2023 - Registration: TBA - Workshop date: TBA ___ *Organizing committee* ___ Gennaro Vessio (University of Bari, Italy) Giovanna Castellano (University of Bari, Italy) Fabio Bellavia (University of Palermo, Italy) Sinem Aslan (University of Venice, Italy | Ege University, Turkey) Eva Cetini? (University of Zurich, Switzerland) Lucia Cipolina Kun (University of Bristol, UK) ___ *Venue* ___ The ICIAP 2023 main conference and workshops will be held at Toppo Wassermann College. See https://iciap2023.org/venue/ for more information ________________________________________ ? Contacts: gennaro.vessio at uniba.it ? ?? ?????? giovanna.castellano at uniba.it ??? ?? ???? fabio.bellavia at unipa.it ????? ?? ?? sinem.aslan at unive.it ??????? ? ? eva.cetinic at uzh.ch ??????????? lucia.kun at bristol.ac.uk From marcella.cornia at unimore.it Sun Jul 9 09:34:27 2023 From: marcella.cornia at unimore.it (Marcella Cornia) Date: Sun, 9 Jul 2023 15:34:27 +0200 Subject: Connectionists: [CFP] [DEADLINE EXTENSION] AGAVE2023: Workshop on Advances in Gaze Analysis, Visual attention and Eye-gaze modelling @ ICIAP 2023 Message-ID: ============================================ AGAVE 2023 - Call for Papers >>> DEADLINE EXTENDED TO JULY 13, 2023 <<< ------------------------------------------------------------------------------ 1st International Workshop on Advances in Gaze Analysis, Visual attention and Eye-gaze modelling (AGAVE) https://sites.google.com/view/agave2023 ------------------------------------------------------------------------------ In conjunction with the 22nd International Conference on Image Analysis and Processing (ICIAP 2023) 11th September 2023, Udine (Italy) ============================================ ABOUT Visual attention refers to the human ability to focus on the most relevant parts of a visual scene (e.g. images or videos). Over the past decades, it has been extensively studied, leading to the proposal of numerous computational models aimed at predicting attention allocation on visual stimuli. While these models were initially developed in the field of psychology and neuroscience, the computer vision and pattern recognition community has become increasingly interested in this problem. This interest has been driven by the growing number of potential applications such as image/video compression, autonomous driving, and robotics. CALL FOR PAPERS The workshop will investigate a range of topics covering (but not limited to) the following: - Computational models of visual attention - Scanpath prediction models on images or videos - Active vision and its applications - (Deep) visual saliency models and their applications - Eye-tracking technology and its applications - Human visual perception and its implications for computer vision - Benchmarking and evaluation of visual attention and gaze analysis models - Applications of visual attention and gaze analysis in image and video processing, robotics, and human-computer interaction - Eye-gaze models for biometrics, health, driving, virtual reality, education and social sciences. The workshop aims to bring together researchers and practitioners in the field of computer vision and image processing to exchange ideas and discuss recent advances in visual attention, gaze analysis and modelling, visual saliency, active vision, and deep saliency models. The workshop will provide a platform for researchers to present their work, share experiences, and discuss the challenges and opportunities in the field. SUBMISSION & PUBLICATION The paper must be prepared in accordance to the guidelines for authors of the ICIAP2023 main conference, provided by Springer that can be found at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines The maximum number of pages is 12 including references. Submissions will be selected through a double-blind peer review process. Each submission will be reviewed by at least two reviewers, considering originality, significance, clarity, soundness, relevance, and technical content. Authors may optionally submit additional material. Accepted papers will be published in the ICIAP 2023 Conference Proceedings, published by Springer in the Lecture Notes in Computer Science series (LNCS). The paper submission platform is https://cmt3.research.microsoft.com/AGAVE2023 IMPORTANT DATES Paper submission: 08 July 2023 13 July 2023 Notification to the authors: 01 August 2023 Camera ready paper submission: 20 August 2023 PROGRAM CO-CHAIRS Vittorio Cuculo, University of Modena and Reggio Emilia, Italy Alessandro D?Amelio, University of Milan, Italy Marcella Cornia, University of Modena and Reggio Emilia, Italy Dario Zanca, University of Erlangen-Nuremberg, Germany -- *Marcella Cornia*, PhD Tenure-Track Assistant Professor (RTD-B) Dipartimento di Educazione e Scienze Umane Universit? degli Studi di Modena e Reggio Emilia e-mail: marcella.cornia at unimore.it phone: +39 059 2058790 -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Sun Jul 9 11:08:43 2023 From: info at icas.cc (ICAS Organizing Committee) Date: Sun, 9 Jul 2023 17:08:43 +0200 Subject: Connectionists: LOD-ACAIN 2023 Keynote Speakers and Lecturers - from Deep Learning to Generative Artificial Intelligence - Registration Deadline: July 20 Message-ID: * LOD-ACAIN 2023 Keynote Speakers and Lecturers - from Deep Learning to Generative Artificial Intelligence - Registration Deadline: July 20 * Dear Friend/Colleague, it follows the list of the LOD-ACAIN 2023 Keynote Speakers and Lecturers: *9**th** International Conference on machine Learning, Optimization & Data science *?* LOD 2023* https://lod2023.icas.cc/ lod at icas.cc and *3**rd** International Advanced Course & Symposium on Artificial Intelligence & Neuroscience *?* ACAIN 2023* https://acain2023.icas.cc/ acain at icas.cc *from Deep Learning to Generative Artificial Intelligence* *One Conference, a Course and a Symposium in a unique Event* September 22 ? 26, 2023 *The Wordsworth Hotel & Spa ? Grasmere, Lake District, England, UK* *LOD 2023 Keynote Speakers* *:* *Gabriel Barth-Maron*, DeepMind, London, UK *?Multimodal Foundation Models?* *Anthony G. Cohn*, University of Leeds, UK & The Alan Turing Institute, UK *?Evaluating the Commonsense Reasoning abilities of Foundation Models?* *Sven Giesselbach*, Fraunhofer Institute ? IAIS, Germany *?Foundation Models? * *?GPT? * *?OpenGPT-X and Application and Practical Training of Large-Scale Language Models?* *ACAIN 2023 Keynote Lecturers* *:* *Karl Friston*, University College London, UK Lecture 1: *?Deep inference?* Lecture 2: *?Active inference and artificial curiosity?* *Kenneth Harris*, University College London, UK Lecture 1: *?The large-scale structure of neural activity in the neocortex?* Lecture 2: *?How cortical population activity relates to transcriptomic cell types?* Lecture 3: *?Geometrical constraints on high-dimensional population codes?* *Rosalyn Moran*, King?s College London, UK Lecture 1: *?The Free Energy Principle: A Neurobiological Generative AI? 1/2?* Lecture 2: *?The Free Energy Principle: A Neurobiological Generative AI? 2/2?* *Edmund T. Rolls*, University of Warwick, UK Lecture 1: *?Biologically plausible computational neuroscience: memory and navigation? * Lecture 2: *?Biologically plausible computational neuroscience: emotion and depression?* *Michael Wooldridge*, University of Oxford, UK Editor-in-Chief of Artificial Intelligence Journal Lecture 1: *?Connected AI. Basically an introduction to the field of multi-agent systems ? how AI views interacting AI systems?* Lecture 2: *?Social Intelligence and AI. A much more speculative lecture about the role that social reasoning plays in intelligence, and might play in AI?* *Early Registration Deadline: July 20* https://lod2023.icas.cc/registration/ https://acain2023.icas.cc/registration/ See you in the idyllic Lake District - England in September! Alex - LOD ACAIN 2023 Organizing Committee. *3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience **?** ACAIN 2023*, September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK The Course is equivalent to *8 ECTS points* for the *PhD Students and the Master Students attending the Course*. https://acain2023.icas.cc/ *9th International Conference on machine Learning, Optimization & Data science ? LOD 2023, *September 22 ? 26, 2023 ? Grasmere, Lake District, England ? UK https://lod2023.icas.cc/ 25 Tracks and Special Sessions -------------- next part -------------- An HTML attachment was scrubbed... URL: From V.Dankers at sms.ed.ac.uk Mon Jul 10 11:45:59 2023 From: V.Dankers at sms.ed.ac.uk (Verna Dankers) Date: Mon, 10 Jul 2023 15:45:59 +0000 Subject: Connectionists: Second Call for Papers: GenBench, the first workshop on generalisation (benchmarking) in NLP Message-ID: Call for Papers: GenBench, the first workshop on generalisation (benchmarking) in NLP ***New: the Collaborative Benchmarking Task submissions are now open; visit https://github.com/GenBench/genbench_cbt. With the support of our workshop sponsor Amazon, we are now offering scholarships for travel expenses.*** Workshop description The ability to generalise well is often mentioned as one of the primary desiderata for models of natural language processing. It is crucial to ensure that models behave robustly, reliably and fairly when making predictions about data that is different from the data that they were trained on. Generalisation is also important when NLP models are considered from a cognitive perspective, as models of human language. Yet, there are still many open questions related to what it means for an NLP model to generalise well and how generalisation should be evaluated. The first GenBench workshop aims to serve as a cornerstone to catalyse research on generalisation in the NLP community. In particular, the workshop aims to: * Bring together different expert communities to discuss challenging questions relating to generalisation in NLP; * Crowd-source a collaborative generalisation benchmark hosted on a platform for democratic state-of-the-art (SOTA) generalisation testing in NLP. The first GenBench workshop on generalisation (benchmarking) in NLP will be co-located with EMNLP 2023. Submission types We call for two types of submissions: regular workshop submissions and collaborative benchmarking task submissions. The latter will consist of a data/task artefact and a companion paper motivating and evaluating the submission. In both cases, we accept archival papers and extended abstracts. 1. Regular workshop submissions Regular workshop submissions present papers on the topic of generalisation (see examples listed below) but are not intended to be included on the GenBench evaluation platform. Regular workshop papers may be submitted as an archival paper when they report on completed, original and unpublished research; or as a shorter extended abstract. More details on this category can be found below. Topics of interest include, but are not limited to: * Opinion or position papers about generalisation and how it should be evaluated; * Analyses of how existing or new models generalise; * Empirical studies that propose new paradigms to evaluate generalisation; * Meta-analyses that investigate how results from different generalisation studies compare to one another; * Meta-analyses that study how different types of generalisation are related; * Papers that discuss how generalisation of LLMs can be evaluated without access to training data; * Papers that discuss why generalisation is (not) important in the era of LLMs; * Studies on the relationship between generalisation and fairness or robustness. If you are unsure whether a specific topic is well-suited for submission, feel free to reach out to the organisers of the workshop at genbench at googlegroups.com. 2. Collaborative Benchmarking Task submissions Collaborative benchmarking task submissions consist of a data/task artefact and a paper describing and motivating the submission and showcasing it on a select number of models. We accept submissions that introduce new datasets, resplits of existing datasets along particular dimensions, or in-context learning tasks, with the goal of measuring generalisation of NLP models. We especially encourage submissions that focus on: * Generalisation in the context of fairness and inclusivity; * Multilingual generalisation; * Generalisation in LLMs, where we have no control over the training data. Each submission should contain information about the data (URIs, format, preprocessing), model preparation (finetuning loss, ICL prompt templates), and evaluation metrics. These will be defined either in a configuration file or in code. More details about the collaborative benchmarking task submissions and example submissions can be found on our website: visit genbench.org/cbt for more information or github.com/GenBench/genbench_cbt to prepare your submission. Note that there is a sample data submission deadline (August 1) in addition to the final submission deadline (September 1). Participants proposing previously unpublished datasets or splits may choose to submit an archival paper or an extended abstract. Generalisation evaluation datasets that have already been published elsewhere (or will be published at EMNLP 2023) can be submitted to the platform, as well, but only through an extended abstract, citing the original publication. We allow dual submissions with EMNLP. For more information, see below. If you are in doubt about whether a particular type of dataset is suitable for submission, please consult the information page on our website, or reach out to the organisers of the workshop at genbench at googlegroups.com. Archival vs extended abstract Archival papers are up to 8 pages excluding references and report on completed, original and unpublished research. They follow the requirements of regular EMNLP 2023 submissions. Accepted papers will be published in the workshop proceedings and are expected to be presented at the workshop. The papers will undergo double-blind peer review and should thus be anonymised. Extended abstracts can be up to 2 pages excluding references and may report on work in progress or be cross-submissions of work that has already appeared in another venue. Abstract titles will be posted on the workshop website but will not be included in the proceedings. Submission instructions For both archival papers and extended abstracts, we refer to the EMNLP 2023 website for paper templates. Additional requirements for both regular workshop papers and collaborative benchmarking task submissions can be found on our website. All papers can be submitted through OpenReview: https://openreview.net/group?id=GenBench.org/2023/Workshop. Collaborative Benchmarking Task submissions can be made via https://github.com/GenBench/genbench_cbt. We also accept regular workshop submissions (papers of category 1) through the ACL Rolling Review system. Authors that have their ARR reviews ready may submit their papers and reviews for consideration to the workshop. Important dates * August 1, 2023 ? Sample data submission deadline * September 1, 2023 ? Paper submission deadline * September 15, 2023 ? ARR submission deadline * October 6, 2023 ? Notification deadline * October 18, 2023 ? Camera-ready deadline * December 6, 2023 ? Workshop Note: all deadlines are 11:59 PM UTC-12:00 Dual submissions We allow dual submissions with EMNLP and encourage relevant papers that were dual-submitted and accepted at EMNLP to redirect to a non-archival extended abstract submission. We furthermore welcome submissions of extended abstracts that describe work already presented at an earlier venue, both in the collaborative benchmarking task and in the regular submission track. Preprints We do not have an anonymity deadline. Preprints are allowed, both before the submission deadline as well as after. Scholarships With the support of our workshop sponsor Amazon, we are offering 6 scholarships each covering up to $500 of travel expenses and/or (virtual) registration fees. Please check out our website for more information about the application process. Contact Email address: genbench at googlegroups.com Website: genbench.org/workshop On behalf of the GenBench team, Dieuwke Hupkes Khuyagbaatar Batsuren Koustuv Sinha Amirhossein Kazemnejad Christos Christodoulopoulos Ryan Cotterell Elia Bruni Verna Dankers The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th? ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From yahmadian at gmail.com Mon Jul 10 06:26:22 2023 From: yahmadian at gmail.com (Yashar Ahmadian) Date: Mon, 10 Jul 2023 11:26:22 +0100 Subject: Connectionists: Postdoctoral Position in Computational and Cognitive Neuroscience at University of Cambridge Message-ID: We are seeking a highly motivated and creative postdoctoral researcher to work on a collaborative project between the labs of Yashar Ahmadian (https://www.cbl-cambridge.org/ahmadian) at the Computational and Biological Learning Lab (CBL -- https://cbl-cambridge.org , Engineering Department), and Zoe Kourtzi (https://www.abg.psychol.cam.ac.uk/) at the Psychology Department, both at the University of Cambridge. The project is funded by the UKRI BBSRC and investigates the computational principles and circuit mechanisms underlying human visual perceptual learning, particularly the role of adaptive changes in the balance of cortical excitation and inhibition resulting from perceptual learning. The postdoc will be based in CBL, with free access to the Kourtzi lab in the Psychology department. The successful candidate(s) will have: - a strong quantitative background - demonstrable interest in theoretical neuroscience - obtained (or be close to completion of) a PhD or equivalent in computational neuroscience, machine learning, physics, mathematics or a related field. Preference will be given to candidates with: - previous experience in computational neuroscience, especially with the training of function-optimized neural networks. - sufficient programming skills to run numerical simulations and to use deep learning optimization packages - expertise with advanced data analysis and Bayesian techniques. To apply online for this vacancy and to view further information about the role, please visit: https://www.jobs.ac.uk/job/DBD626/research-assistant-associate-in-computational-neuroscience-fixed-term For any research-related queries about the role, please contact Yashar Ahmadian: ya311 at cam.ac.uk or Zoe Kourtzi: zk240 at cam.ac.uk. Please quote reference NM37522 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. *---------------------------------------------* *Yashar Ahmadian* Computational and Biological Learning Lab *Department of Engineering**University of Cambridge* *https://www.cbl-cambridge.org/people/ya311 * -------------- next part -------------- An HTML attachment was scrubbed... URL: From malini.vinita.samarasinghe at ini.rub.de Mon Jul 10 11:26:48 2023 From: malini.vinita.samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Mon, 10 Jul 2023 17:26:48 +0200 Subject: Connectionists: PhD position - Comp. Neuro. - Navigation using episodic memory Message-ID: <4fef3b09-60d8-bee1-5b0f-d918793c26ae@ini.rub.de> *Doctoral Position in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches,includingbiological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a *talented graduate student* to join our team, someone who will expand our computationalmodeling framework Cobel-RL (https://doi.org/10.3389/fninf.2023.1134405)and use it to study how episodic memory might be used to learn to navigate.* * *Your Profile: * Candidates must * have a mastersdegreein neuroscience, physics, computer science, mathematics, psychology,or a related field * be able to work independently * have experience in mathematical modeling * have excellent programming skills, * have excellent communication skills in English, and * work well in a team. We are committed to providing a supportive work environment for female researchers and 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 meet with 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. 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. This position is *65% at TV-L E13*, starts as soon as possible and is funded for *3 years*. 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 20.08.2023. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Please feel free to get in touch with me if you have any questions. -- 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 Justus-prof at Piater.name Mon Jul 10 12:21:42 2023 From: Justus-prof at Piater.name (Justus Piater) Date: Mon, 10 Jul 2023 18:21:42 +0200 Subject: Connectionists: Ph.D. Student Position in Machine Learning for Robotics or Computer Vision at U. Innsbruck, Austria Message-ID: <87mt03u489.fsf@uibk.ac.at> The Intelligent and Interactive Systems group (Profs. Justus Piater, Antonio Rodr?guez-S?nchez, and Samuele Tosatto) is looking for a talented Ph.D. candidate. THE POSITION This is a university doctoral position that involves minor teaching duties. The precise research topics are negotiable within the scope of active research at IIS, including machine learning and growing levels of AI for computer vision and robotics. Of particular interest are topics in representation learning and causality for out-of-distribution situations. YOUR PROFILE Applicants must have * earned, or be about to earn, an M.Sc. degree or equivalent in computer science or other relevant area, * an excellent academic record, * a strong background in machine learning and in robotics or computer vision, * excellent mathematical and coding skills (C/C++, Matlab, ROS, Python), * excellent written and oral communication skills in English, and * enthusiasm for leading-edge research, a team spirit and independent problem-solving skills. HOW TO APPLY Apply [1] by July 27, 2023. The ideal starting date is September 15, 2023. [1] https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=13633 THE UNIVERSITY OF INNSBRUCK, AUSTRIA The University of Innsbruck offers a complete set of academic curricula and currently counts 28000 students. Founded in 2001, the Department of Computer Science is highly productive in diverse research domains, and is internationally very well connected. Innsbruck is home to 35000 students who imprint a distinctive, international student atmosphere upon this lively city of 130000. Beautifully located in the Tyrolean Alps, on the Inn river and surrounded by summits of up to 2718m, Innsbruck offers outstanding opportunities and quality of life all around the year. -- Head, Digital Science Center https://www.uibk.ac.at/disc/ Computer Science, Intelligent and Interactive Systems https://iis.uibk.ac.at/ University of Innsbruck, Austria From fzenke at gmail.com Tue Jul 11 02:57:12 2023 From: fzenke at gmail.com (Friedemann Zenke) Date: Tue, 11 Jul 2023 08:57:12 +0200 Subject: Connectionists: Announcing SNUFA 2023 workshop: 7-8 November Message-ID: <4e42bfe4-42be-e800-bcab-8e2a77f46769@gmail.com> We are happy to announce SNUFA 2023: 7-8 November (online)--your friendly focus meeting on spiking neural networks. Abstract submission is now open! See https://snufa.net/2023 for details. Invited speakers this year: Rodolphe Sepulchre, Melika Payvand, Gabriel Ocker, and Jeff Krichmar. As usual, the workshop brings together computational neuroscience, machine learning, and neuromorphic engineering researchers to present their work and discuss how to translate these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We aim at a manageable number of talks with ample time for discussions. SNUFA 2023 is brought to you by Charlotte Frenkel, Emre Neftci, Dan Goodman, and Friedemann Zenke -- https://snufa.net/2023 From timvogels at gmail.com Tue Jul 11 05:47:41 2023 From: timvogels at gmail.com (Tim Vogels) Date: Tue, 11 Jul 2023 11:47:41 +0200 Subject: Connectionists: IMBIZO APPLICATION DEADLINE IS JULY 18TH Message-ID: <75A33616-3553-4A03-BF59-14A19B27E6A9@gmail.com> Dear colleagues and friends, Given that SONA (the SfN / FENS conference equivalent in Africa is starting today) and that we have a bit of representation there, we have decided to extend the DEADLINE for the next IMBIZO by one week. Apply now to join us at the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information to them. All the best, Tim Vogels IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #Imbizo2024 7 January - 28 January 2024, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ Application deadline: 18th July 2023 The #Imbizo2024 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. It also includes a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Essential details * Fee (which covers tuition, lodging, and meals): 1350 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our?COVID policy . If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 18th July 2023 * References submitted: 24th July 2023 * Notification of results: August 2023 Information and application https://imbizo.africa/ Questions? isicn.imbizo at gmail.com What is an Imbizo? \?m?bi?z?\ | Xhosa - Zulu A gathering of the people to share knowledge. Past and future faculty: Adrienne Fairhall - Washington University Alex Pouget - University of Geneva Anne-Marie Oswald - University of Pittsburgh Annik Carson - AI Redefined Arif Hamid - University of Minnesota Medical School Aza Allsop - Yale University Bard Ermentrout - University of Pittsburgh Bianca Jones Marlin - Columbia University Blake Richards - McGill University Brent Doiron - University of Chicago Cengiz Pehlevan - Harvard University Christopher Currin - Institute of Science and Technology Austria & IndabaX South Africa Daniela Vallentin - Max Planck Institute for Biological Intelligence David Sussillo - Google Demba Ba - Harvard University Dongyan Lin - MILA Evan Schaffer - Columbia University Franck Kalume - University of Washington Grace Lindsay - New York University Guillaume Lajoie - University of Montreal & MILA Henning Sprekeler - Technical University of Berlin Ilenna Jones - Harvard University Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Marjorie Xie - Columbia University Mohamed Abdelhack - Krembil Centre for Neuroinformatics Nina Kudryashova- University of Edinburgh Peter Latham - University College London Rachael Dangarembizi - University of Cape Town Roy Eyono - MILA Spiros Chavlis - IMBB-FORTH SueYeon Chung - New York University Thomas Tagoe - University of Ghana Tim Vogels - Institute of Science and Technology Austria Timothy Lillicrap - DeepMind Xaq Pitkow - Baylor College of Medicine ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria & IndabaX South Africa ) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The Imbizo is made possible by the generous support from the?Simons Foundation , the?International Brain Research Organisation (IBRO) as well as the Wellcome Trust, Google Deep Mind, Meta and others. Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, Harvard University,?TReND in Africa ,?Neuroscience Institute ,?Gatsby Foundation , IBRO African Center for Advanced Training in Neurosciences at UCT -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Jul 11 03:35:46 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 11 Jul 2023 10:35:46 +0300 Subject: Connectionists: Last call early registration: Invitation to join 2023 Summer 'Programming short course and workshop on Deep Learning and Computer Vision', 30 August - 1 September, 2023 References: <004601d874cd$c8a23160$59e69420$@csd.auth.gr> <09a701d992d4$2f9f6e80$8ede4b80$@csd.auth.gr> <0f0701d9944d$51a60e10$f4f22a30$@csd.auth.gr> <0f3901d9944d$e29a0e80$a7ce2b80$@csd.auth.gr> <20230601095058.Horde.hS4Z9JrpBDQ7SZKwv29jOla@webmail.auth.gr> Message-ID: <1afa01d9b3ca$4eb28bb0$ec17a310$@csd.auth.gr> Dear Deep Learning, Computer Vision, Digital Media engineers, scientists and enthusiasts, you are welcomed to register to the CVML course on ?Programming short course and workshop on Deep Learning and Computer Vision?, 30th August - 1st September 2023: https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/ It will take place at KEDEA Building, hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The course provides an in-depth presentation of programming tools and techniques for various computer vision and deep learning problems. The target application domains are autonomous systems (e.g., real time object detection) and digital/social media analysis for Natural Disaster Management. The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises. There will be complemented lecture pdfs, to enable you to study at your own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). This course is part of the very successful CVML programming short course and workshop series that has been taking place in the last four years. Course description ?Programming short course and workshop on Deep Learning and Computer Vision? The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises. Part A will focus on Deep Learning and GPU programming. The lectures of this part provide a solid background on Deep Neural Networks (DNN) topics, notably convolutional NNs (CNNs) and deep learning for image classification. Part B lectures will focus on deep learning algorithms for Perception on Autonomous Systems, namely on 2D object/face detection and 2D object tracking. Part C lectures will focus on Autonomous Systems in Natural Disaster Management (NDM). The lectures will provide a basic understanding of Real-Time Image Segmentation algorithms. Course lectures and programming workshops Part A (8 hours) Deep Learning for Autonomous Systems 1. Deep neural networks ? Convolutional NNs. 2. Knowledge Distillation in Deep Neural Networks. 3. Programming workshop on Deep neural networks ? Convolutional NNs. 4. Programming workshop on Knowledge Distillation in Deep Neural Networks. Part B (8 hours) Autonomous Systems Perception 1. Real Time Object Detection. 2. 2D Object Tracking in Embedded Systems. 3. Programming workshop on Real Time Object Detection. 4. Programming workshop on 2D Object Tracking in Embedded Systems. Part C (8 hours) Autnomous Systems in Natural Disaster Management 1. Real-Time Image Segmentation. 2. Natural Language Processing for Natural Disaster Management. 3. Programming workshop on Real-Time Image Segmentation. 4. Programming workshop on Natural Language Processing for Natural Disaster Management. You can use the following link for course registration: https://rc.auth.gr/product-list/single-product/127 For questions, please contact: Ioanna Koroni < koroniioanna at csd.auth.gr> This programming short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy ( AIDA), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He is Coordinator of the European Horizon2022 R&D project TEMA and he was 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 35500+ citations to his work and h-index 86+. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el 2) Horizon2022 EU funded R&D project TEMA: https://tema-project.eu/ 3) Horizon2022 EU funded R&D project AI4EUROPE: https://www.ai4europe.eu/ 4) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 5) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 6) International AI Doctoral Academy (AIDA): http://www.i-aida.org/ 7) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 8) 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 in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Jul 11 05:39:28 2023 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 11 Jul 2023 12:39:28 +0300 Subject: Connectionists: CALL for Summer / Fall 2023 AIDA course proposals References: Message-ID: <2e3601d9b3db$96e4d850$c4ae88f0$@csd.auth.gr> Dear ICT 48 project Partner, distinguished scientist, in the framework of the AI4Media EU project funded under the European Union?s Horizon 2020, together with the ICT48 projects ELISE, VISION, HumanE AI NET and TAILOR, we have organized the AI Doctoral Academy (AIDA) aiming to become a reference initiative for AI education in Europe and implement mechanisms for inter-university sharing of AI educational assets at PhD-level. As part of the program, AIDA offers a series of courses on Artificial Intelligence and related fields given by distinguished lecturers. We invite you to contribute to this initiative for the definition of the AIDA Summer/Fall semester program. You can participate in the AIDA program by offering new or opening-up existing courses targeted to AIDA students* or other students worldwide according to the participation terms of your own organization. Short/Very Short course formats (5-16 hours) are typically encouraged, while semester courses, or asynchronous mode web courses will be considered as well. Accepted courses will be listed on AIDA website ( https://www.i-aida.org/) and will be advertised for free with the support of AIDA dissemination channels. Proposals for courses for the AIDA Summer/Fall semester program should be sent to: Prof. Alberto del Bimbo alberto.delbimbo at unifi.it, Prof. Stefano Berretti stefano.berretti at unifi.it, and Ms. Ioanna Koroni koroniioanna at csd.auth.gr no later than July 31, 2023 and will be evaluated by the AIDA Committee by August 10, 2023. Proposals for AIDA Courses should include (pls, fill in the attached document): * Course title: * Lecturer name & affiliation: * Host Institution: * Content and organization: Course details about the content. 1 paragraph * Level: (Undergraduate/Postgraduate) * Course Duration: Hours * Course Type: (Short/Semester/Lecture series/Seasonal School) * Participation terms: Registration fee policy for external (non-AIDA) students, e.g., free of charge or fee of ??? Euros. Special terms for AIDA students, e.g., discount 50% or free for X number of AIDA students. Add text for a) non-AIDA student registration and AIDA student registration/enrollment, as in (6) below. * Lectures plan: Days/time * Proposed schedule: Start date ? End date * Language: English/Other * Modality: Online/in person * Notes: Are there exams? Details on how to successfully complete the course. 1-2 sentences. * Course Link: *AIDA students may be PhD students, post-doc researchers, possibly qualified MSc students or professionals of AIDA Members -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: AIDA COURSE APPLICATION FORM.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 21365 bytes Desc: not available URL: From joern.diedrichsen at googlemail.com Tue Jul 11 22:34:12 2023 From: joern.diedrichsen at googlemail.com (=?utf-8?Q?J=C3=B6rn_Diedrichsen?=) Date: Tue, 11 Jul 2023 22:34:12 -0400 Subject: Connectionists: Postdoc position in Computational Neuroimaging of the Cerebellum (Western University, Canada) Message-ID: <23644563-1612-4DF0-B812-A41AFBBCD6FA@googlemail.com> The Diedrichsen Lab is looking to recruit a new postdoctoral associate with interest in studying the human cerebellum. The successful candidate will join an inter-disciplinary research group that uses behavioral, neuroimaging, and computational approaches to investigate the role of the cerebellum in motor control, cognition, and language . Our approach is to use Big Data and Machine Learning to gain insight about the overall functional organization of the cerebellum, which then informs targeted imaging and behavioural experiments. The enthusiastic and supportive environment will enable the candidate to develop their own research program. The lab is located in the Western Institute of Neuroscience in London, Ontario, Canada, and is part of the Sensorymotor Superlab and the Computational Brain Sciences group at Western. Systems and cognitive neuroscience is a key area of research strength at Western University, with more than 70 Principal Investigators and 200 trainees. High-resolution imaging at 9.5T, 7T, and 3T is available in-house. Full application details can be found here . Candidates are encourage to contact us early to arrange a meeting to discuss possible research projects. The deadline for applications is September 4th, 2023. J?rn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistical and Actuarial Sciences Email: jdiedric at uwo.ca Tel: 1-519-661-2111 x86994 -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.nolfi at cnr.it Wed Jul 12 03:04:04 2023 From: stefano.nolfi at cnr.it (STEFANO NOLFI) Date: Wed, 12 Jul 2023 07:04:04 +0000 Subject: Connectionists: PhD Scholarship: Machine Learning & Collective Behavior in Rome with a deadline of July 20th Message-ID: A scholarship of the Italian National PhD Program in Artificial Intelligence (https://www.phd-ai.it/en/359-2/) is available at the Institute of Cognitive Science and Technologies of the National Research Council (https://www.istc.cnr.it/) in Rome. The research topic is ?Self-organisation and learning in massive multiagent systems and robot swarms? with the supervision of Stefano Nolfi (http://laral.istc.cnr.it/nolfi/). Call for applications available at:https://www.uniroma1.it/sites/default/files/user/1824/bando_39_ai_eng_version.pdf Interested candidates should indicate the funding institution (National Research Council, CNR) and the research topic (indicated above) in their application. For more information, please contact: stefano.nolfi at istc.cnr.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeremie.cabessa at uvsq.fr Wed Jul 12 08:45:23 2023 From: jeremie.cabessa at uvsq.fr (=?utf-8?B?SsOpcsOpbWllIENhYmVzc2E=?=) Date: Wed, 12 Jul 2023 14:45:23 +0200 Subject: Connectionists: Funded PhD Position in Operational Research and Machine Learning Message-ID: <142F1C55-76D0-487A-90E1-695A891B2912@uvsq.fr> ============ English version ============ Offer: Funded PhD Position in Operational Research and Machine Learning Institutions: Universities of Versailles (UVSQ) ? Paris-Saclay & DCBrain Deadline: 10 Octobre 2023 Contraint: Due to time contraints, we will privilege applications from people already working in France Dear colleagues, The laboratories DAVID of UVSQ Paris-Sacaly together with the DCBrain company (https://dcbrain.com/) offers a 3-year funded PhD position in the fields of Operational Research and Machine Learning. The project is entitled ?Machine Learning and Meta-Optimization: A Hybrid Approach to Operational Research in Logistics? and concerns the combination of heuristic and learning methods for logistics problem in operational research. The application deadline is the 10 October 2023. Due to time contraints, we will privilege applications from people already working in France. To apply, please send your CV by email to J?r?mie Cabessa and Yann Strozecki: yann.strozecki[at]uvsq.fr, jeremie.cabessa[at]uvsq.fr The details of the project, working conditions and candidate requirements are provided below. Thank you and best regards. Offer: 1 funded PhD position in operational research and learning at the laboratory DAVID from the Universities of Versailles ? Paris-Saclay, in collaboration with the company DCBrain: https://dcbrain.com/ Title and Abstract: Machine Learning and Metaoptimization: A Hybrid Approach to Operational Research in Logistics We consider is a realistic variant of the Vehicle Routing Problem (VRP) ? a problem known to be NP-complete ? but which remains extensively studied in practice. In our case, the problematic comes along with many additional constraints, like cost, pollution, means of transportation, type of goods, capacity, etc. The approach currently adopted by DCBrain consists in simple heuristics from operations research, such as simulated annealing and greedy algorithms. The parameters of these heuristics are then optimized with respect to the size of the inputs. The objective of this PhD thesis is to combine learning methods with current heuristics, in order to improve them in terms of both computation time and quality of results. This approach fits within a current and relevant line of research in combinatorial optimization. Funding information: 3 year scholarship from the ADEME (Agence de l'environnement et de la ma?trise de l'?nergie), in accordance with the French standards regarding PhD salaries. Deadline: 01 October 2023. Application details: Please send your CV by email to J?r?mie Cabessa and Yann Strozecki at: jeremie.cabessa[at]uvsq.fr, yann.strozecki[at]uvsq.fr ============= Version fran?aise ============= Offre de th?se: Offre de th?se en recherche op?rationnelle et machine learning Institutions: Universit? de Versailles (UVSQ) ? Paris-Saclay & DCBrain Date limite: 10 octobre 2023 Contrainte: Pour des raisons de calendrier, nous privil?gions les postulations personnes qui se trouvent d?j? sur le territoire fran?ais. Chers coll?gues, Les laboratoires DAVID de l'UVSQ Paris-Sacaly en collaboration avec la soci?t? DCBrain (https://dcbrain.com/) proposent une th?se financ?e en 3 ans dans les domaines de la recherche op?rationnelle et du machine learning. Le projet s'intitule ?Machine learning et m?taoptimisation: une approche hybride pour la recherche op?rationnelle en logistique? et concerne la combinaison de m?thodes heuristiques et de techniques d?apprentissage pour un probl?me logistique en recherche op?rationnelle. La date limite de candidature est le 10 octobre 2023. Pour des raisons de calendrier, nous privil?gions les postulations personnes qui se trouvent d?j? sur le territoire fran?ais. Pour postuler, merci d'adresser votre CV par mail ? J?r?mie Cabessa et Yann Strozecki: yann.strozecki[at]uvsq.fr, jeremie.cabessa[at]uvsq.fr Les d?tails du projet, les conditions de travail et les exigences des candidats sont d?crites ci-dessous. Merci beaucoup. Offre: Offre de th?se financ?e en recherche op?rationnelle et machine learning au laboratoire DAVID de l?Universit?s de Versailles ? Paris-Saclay, en collaboration avec la soci?t? DCBrain : https://dcbrain.com/ Titre et r?sum?: Apprentissage automatique et m?taoptimisation : une approche hybride de la recherche op?rationnelle en logistique Nous consid?rons une variante r?aliste du probl?me de routage de v?hicules (VRP) ? un probl?me connu pour ?tre NP-complet ? mais qui demeure largement ?tudi? en pratique. Dans notre cas, la probl?matique s'accompagne de nombreuses contraintes suppl?mentaires, telle que le co?t, la pollution, les moyens de transport, le type de marchandises, la capacit? des v?hicules, etc. L'approche actuellement adopt?e par DCBrain consiste en l?utilisation d?heuristiques simples issues de la recherche op?rationnelle, telles que le recuit simul? et les algorithmes gloutons. Les param?tres de ces heuristiques sont alors optimis?s par rapport ? la taille des entr?es. L'objectif de cette th?se est de combiner des m?thodes d'apprentissage avec les heuristiques actuelles, afin d?am?liorer le temps de calcul et la qualit? des r?sultats. Cette approche s'inscrit dans une ligne de recherche tr?s actuelle en optimisation combinatoire. Informations sur le financement: Bourse de 3 ans de l'ADEME (Agence de l'environnement et de la ma?trise de l'?nergie), conform?ment aux normes fran?aises en mati?re de r?mun?ration salariale. Date limite: 01 octobre 2023. Candidature: Merci d'adresser votre CV par mail ? J?r?mie Cabessa et Yann Strozecki ?: jeremie.cabessa[at]uvsq.fr, yann.strozecki[at]uvsq.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at as-mediendesign.com Wed Jul 12 05:53:52 2023 From: info at as-mediendesign.com (Team as mediendesign) Date: Wed, 12 Jul 2023 11:53:52 +0200 Subject: Connectionists: TU Braunschweig offers a W3 Full Professorship for Artificial Intelligence in interactive Systems Message-ID: <7A497F93-DDE9-46BF-84DE-8C1559586DDA@as-mediendesign.com> With nearly 17,000 students and 3,800 staff members, Technische Universit?t Braunschweig is the largest Institute of Technology in Northern Germany. It stands for a strategic and achievement-oriented way of thinking and acting, relevant research, exceptional teaching and the successful transfer of knowledge and technologies to industry and society. We consistently advocate family friendliness and equal opportunities. We focus our research on mobility, engineering for health, metrology, and future city. Our core disciplines include a comprehensive engineering branch and a strong natural sciences branch, closely linked with business sciences, social sciences, humanities and educational sciences. Our campus is located at the heart of one of Europe?s most active research regions. We cooperate closely and successfully with more than 20 research institutions right on our doorstep and maintain strong relationships with our partner universities all over the world. Carl-Friedrich-Gau?-Fakult?t Department of Computer Science We offer a W3 Full Professorship for Artificial Intelligence in interactive Systems to be filled at the earliest possible date. We are looking for an internationally recognized personality in the field of Artificial Intelligence/?Machine Learning with experience in building up and leading a research group as well as in raising third-party funds. The newly established professorship will expand the research area of data-driven methods for interactive and intelligent systems at the TU Braunschweig and strengthen the focal points "Data Science" and "Reliability" of the Department of Computer Science. The position holder has a strong background in Computer Science with a focus on Artificial Intelligence/?Machine Learning, specifically in the areas of Dependable AI and Explainable AI. Applicants should possess a method-oriented research focus on machine learning and have made internationally recognized contributions to at least one of the current research areas such as neural networks, generative and adversarial models, online and transfer learning, federated learning, (deep) reinforcement learning, probabilistic inference, graphical models, and/or MDP/?POMDP. A researcher is sought who is able to combine the theoretical-methodological investigation and development of learning methods with applications in interactive intelligent systems, for example in autonomous robots, intelligent virtual agents, or intelligent networked production systems. Suitable applicants are expected to show an active interest in the concrete implementation of cognitive abilities in technical systems, ensuring compatibility with partners in engineering and natural sciences. With his/her research performance, the position holder will enhance the international visibility of TU Braunschweig in the field of Artificial Intelligence. In teaching, topic-related courses in the areas of Artificial Intelligence and Machine Learning shall complement the Bachelor's and Master's degree programs of the Department of Computer Science. In particular, the topic of Machine Learning/?Artificial Intelligence is to be anchored in undergraduate teaching with a new compulsory Bachelor course. Participation in the academic self-administration of the university is expected as well as the willingness to actively shape computer science at the TU Braunschweig. Our expectations ? Internationally recognized research personality in the field of artificial intelligence/machine learning ? Profound knowledge of computer science ? Successful acquisition of third-party funding ? Experience in establishing and leading an own research group ? Teamwork, management and leadership skills ? Commitment to Bachelor's and Master's degree programs in Computer Science, Data Science, Information Systems Engineering, and Information Systems, particularly with regard to undergraduate education in the field of machine learning ? Very good command of the English language and willingness to teach courses in English ? Willingness to engage in interdisciplinary collaborations ? Commitment to increasing the internationalization and international visibility of the TU Braunschweig. ? Willingness to participate in the self-governance of the university Requirements, ? 25 NHG ? Completed university studies ? Pedagogical suitability, proof of this is to be provided by a teaching sample ? Special qualification for deepended independent scientific work, which is usually demonstrated by an above-average doctorate ? Additional academic achievements, usually within the framework of a junior professorship, a post-doctoral lecture qualification (Habilitation) or achievements equivalent to a habilitation. Notes At TU Braunschweig, we aim to increase the share of women in academic positions and therefore particularly welcome applications from women. Where candidates have equivalent qualifications, preference will be given to female candidates. Applications from international scientists are welcome. Where candidates have the same qualifications, preference will be given to disabled candidates. It is a permanent full-time position. A part-time appointment may be possible on request. Applicants who are 50 years or older at the time the appointment commences and who have not acquired permanent civil servant status (Beamtenverh?ltnis auf Lebenszeit) will be employed with employee status (Angestelltenverh?ltnis). Deadline for application The application deadline is 2023-08-31. Contact For more information, please contact the chair of the Appointments Committee Prof. Dr.-Ing. Marcus Magnor Tel. +49 531 391-2101 m.magnor at tu-braunschweig.de We are looking forward to your application! The application should contain the usual documents. Please address your application to Prof. Dr. Dirk Konietzka, Dean of the Carl-Friedrich-Gau?-Fakult?t, TU Braunschweig, and apply via online portal of TU Braunschweig. Apply-Link: http://bitly.ws/K55z From bernstein.communication at fz-juelich.de Thu Jul 13 01:25:05 2023 From: bernstein.communication at fz-juelich.de (Alexander Lammers) Date: Thu, 13 Jul 2023 07:25:05 +0200 Subject: Connectionists: Deadline approaching - Bernstein Conference 2023 in Berlin In-Reply-To: References: Message-ID: ***Deadline approaching - Bernstein Conference 2023 in Berlin*** ___ The Bernstein Conference Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ___ Important Dates * Abstract submission for posters: July 19, 2023, 15:00 CEST * Travel grant applications: July 19, 2023 * Early registration: July 19, 2023 * Bernstein Conference: September 26 - 29, 2023 ___ Registration Registration for the Bernstein Conference is open now. Register until July 19, 2023, and profit from reduced conference fees. All information: https://bernstein-network.de/bernstein-conference/registration/ ___ Abstract Submission We invite the computational neuroscience community to submit their abstracts. The abstract submission for posters is open until July 19, 2023, 15:00 CEST. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Abstract submission: https://bernstein-network.de/bernstein-conference/abstract-submission/ ___ Travel Grants Students, PhD candidates, and postdocs can apply for travel grants. Travel grant application: https://bernstein-network.de/bernstein-conference/early-career-scientists/travel-grants/ ___ Invited Speaker Opening Lecture Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsbury Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (LMU Munich, Germany / Institute of Science and Technology, Austria) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesit?t Freiburg, Germany) ___ Conference Committee Robert G?tig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ___ Contact For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Jul 12 17:13:08 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 12 Jul 2023 23:13:08 +0200 Subject: Connectionists: =?utf-8?q?CFP_FRCCS_2024_Montpellier=2C_France_Ma?= =?utf-8?b?eSAyOSDigJMgMzEsIDIwMjQ=?= Message-ID: Fourth* F*rench* R*egional* C*onference on* C*omplex* S*ystems May 29 ? 31, 2024 Montpellier, France *FRCCS 2024* After successfully hosting the conference in Dijon in 2021, Paris in 2022, and Le Havre in 2023, the fourth edition of the French Regional Conference on Complex Systems (FRCCS 2024) will be held in Montpellier, France. This international conference organized by CSS France serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2024 provides a valuable opportunity for participants to meet in France, exchange and promote ideas, facilitating the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. Join us in Montpellier as we collectively strive to better understand complexity and its implications for society. You are cordially invited to submit your contribution until *February 21, 2024.* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Papers* about *original research* (up to 12 pages) ? *Extended Abstract* about published or unpublished research (3 to 4 pages). *Publication* o Contributions will be included in the conference proceedings (With ISBN) o *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 * - 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* Roberto Interdonato CIRAD, UMR TETIS, Montpellier Bruno Pinaud LABRI University of Bordeaux -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeremie.cabessa at uvsq.fr Wed Jul 12 11:14:48 2023 From: jeremie.cabessa at uvsq.fr (=?utf-8?B?SsOpcsOpbWllIENhYmVzc2E=?=) Date: Wed, 12 Jul 2023 17:14:48 +0200 Subject: Connectionists: Funded PhD Position in Operational Research and Machine Learning Message-ID: <8B8316B5-37C3-4B50-AEDC-EF21EE6C13C7@uvsq.fr> ============ English version ============ Offer: Funded PhD Position in Operational Research and Machine Learning Institutions: Universities of Versailles (UVSQ) ? Paris-Saclay & DCBrain Deadline: 10 Octobre 2023 Contraint: Due to time contraints, we will privilege applications from people already working in France Dear colleagues, The laboratories DAVID of UVSQ Paris-Sacaly together with the DCBrain company (https://dcbrain.com/) offers a 3-year funded PhD position in the fields of Operational Research and Machine Learning. The project is entitled ?Machine Learning and Meta-Optimization: A Hybrid Approach to Operational Research in Logistics? and concerns the combination of heuristic and learning methods for logistics problem in operational research. The application deadline is the 10 October 2023. Due to time contraints, we will privilege applications from people already working in France. To apply, please send your CV by email to J?r?mie Cabessa and Yann Strozecki: yann.strozecki[at]uvsq.fr , jeremie.cabessa[at]uvsq.fr The details of the project, working conditions and candidate requirements are provided below. Thank you and best regards. Offer: 1 funded PhD position in operational research and learning at the laboratory DAVID from the Universities of Versailles ? Paris-Saclay, in collaboration with the company DCBrain: https://dcbrain.com/ Title and Abstract: Machine Learning and Metaoptimization: A Hybrid Approach to Operational Research in Logistics We consider is a realistic variant of the Vehicle Routing Problem (VRP) ? a problem known to be NP-complete ? but which remains extensively studied in practice. In our case, the problematic comes along with many additional constraints, like cost, pollution, means of transportation, type of goods, capacity, etc. The approach currently adopted by DCBrain consists in simple heuristics from operations research, such as simulated annealing and greedy algorithms. The parameters of these heuristics are then optimized with respect to the size of the inputs. The objective of this PhD thesis is to combine learning methods with current heuristics, in order to improve them in terms of both computation time and quality of results. This approach fits within a current and relevant line of research in combinatorial optimization. Funding information: 3 year scholarship from the ADEME (Agence de l'environnement et de la ma?trise de l'?nergie), in accordance with the French standards regarding PhD salaries. Deadline: 01 October 2023. Application details: Please send your CV by email to J?r?mie Cabessa and Yann Strozecki at: jeremie.cabessa[at]uvsq.fr , yann.strozecki[at]uvsq.fr ============= Version fran?aise ============= Offre de th?se: Offre de th?se en recherche op?rationnelle et machine learning Institutions: Universit? de Versailles (UVSQ) ? Paris-Saclay & DCBrain Date limite: 10 octobre 2023 Contrainte: Pour des raisons de calendrier, nous privil?gions les postulations personnes qui se trouvent d?j? sur le territoire fran?ais. Chers coll?gues, Les laboratoires DAVID de l'UVSQ Paris-Sacaly en collaboration avec la soci?t? DCBrain (https://dcbrain.com/) proposent une th?se financ?e en 3 ans dans les domaines de la recherche op?rationnelle et du machine learning. Le projet s'intitule ?Machine learning et m?taoptimisation: une approche hybride pour la recherche op?rationnelle en logistique? et concerne la combinaison de m?thodes heuristiques et de techniques d?apprentissage pour un probl?me logistique en recherche op?rationnelle. La date limite de candidature est le 10 octobre 2023. Pour des raisons de calendrier, nous privil?gions les postulations personnes qui se trouvent d?j? sur le territoire fran?ais. Pour postuler, merci d'adresser votre CV par mail ? J?r?mie Cabessa et Yann Strozecki: yann.strozecki[at]uvsq.fr , jeremie.cabessa[at]uvsq.fr Les d?tails du projet, les conditions de travail et les exigences des candidats sont d?crites ci-dessous. Merci beaucoup. Offre: Offre de th?se financ?e en recherche op?rationnelle et machine learning au laboratoire DAVID de l?Universit?s de Versailles ? Paris-Saclay, en collaboration avec la soci?t? DCBrain : https://dcbrain.com/ Titre et r?sum?: Apprentissage automatique et m?taoptimisation : une approche hybride de la recherche op?rationnelle en logistique Nous consid?rons une variante r?aliste du probl?me de routage de v?hicules (VRP) ? un probl?me connu pour ?tre NP-complet ? mais qui demeure largement ?tudi? en pratique. Dans notre cas, la probl?matique s'accompagne de nombreuses contraintes suppl?mentaires, telle que le co?t, la pollution, les moyens de transport, le type de marchandises, la capacit? des v?hicules, etc. L'approche actuellement adopt?e par DCBrain consiste en l?utilisation d?heuristiques simples issues de la recherche op?rationnelle, telles que le recuit simul? et les algorithmes gloutons. Les param?tres de ces heuristiques sont alors optimis?s par rapport ? la taille des entr?es. L'objectif de cette th?se est de combiner des m?thodes d'apprentissage avec les heuristiques actuelles, afin d?am?liorer le temps de calcul et la qualit? des r?sultats. Cette approche s'inscrit dans une ligne de recherche tr?s actuelle en optimisation combinatoire. Informations sur le financement: Bourse de 3 ans de l'ADEME (Agence de l'environnement et de la ma?trise de l'?nergie), conform?ment aux normes fran?aises en mati?re de r?mun?ration salariale. Date limite: 01 octobre 2023. Candidature: Merci d'adresser votre CV par mail ? J?r?mie Cabessa et Yann Strozecki ?: jeremie.cabessa[at]uvsq.fr , yann.strozecki[at]uvsq.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at incf.org Wed Jul 12 11:02:38 2023 From: info at incf.org (INCF) Date: Wed, 12 Jul 2023 17:02:38 +0200 Subject: Connectionists: Applications open: 2023 SPARC FAIR Codeathon Message-ID: 2023 SPARC FAIR Codeathon When: 05/08/2023 to 07/08/2023 Where: Virtual Join the third global SPARC ?FAIR? Codeathon , a three-day virtual event this August 5th-7th! The SPARC Data and Resource Center, with funding from the National Institutes of Health, will host a 3-day in-the-cloud Codeathon. It is free to enter and has a total prize pool of US$50,000 (including cash prizes and manuscript publication fees). Competitors from the United States and abroad are eligible. We encourage researchers and data scientists at any stage of their scientific journey to apply. Before the event we will create up to 30 teams of five to six individuals, each with various backgrounds and expertise, led by an experienced leader. The teams will greatly benefit from anyone with the following skills: - Understanding of neuroscience and/or neurostimulation - Data visualization - Data mining, image and text analysis - Working knowledge of scripting languages (eg., Shell, Python, R) - Familiarity with methods of manipulating and/or analyzing large datasets ( AI/ML, computational modeling, etc.) - Developing bioinformatics code, pipelines or tools - Knowledge graphs - Web development Applications are due 20/07/2023. More info here . Questions? Contact fair-codeathon-support at sparc.science What is SPARC? The Stimulating Peripheral Activity to Relieve Conditions (SPARC) program is supported by the NIH Common Fund to provide a scientific and technological foundation for future bioelectronic medicine devices and protocols. The goal of the SPARC program is to identify neural targets and accelerate the development of therapeutic devices that modulate electrical activity in the vagus and other nerves to help treat diseases and conditions, such as hypertension and gastrointestinal disorders, by precisely adjusting organ function. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Stevensequeira92 at hotmail.com Thu Jul 13 14:15:55 2023 From: Stevensequeira92 at hotmail.com (steven gouveia) Date: Thu, 13 Jul 2023 18:15:55 +0000 Subject: Connectionists: 3rd rTAIM Seminar - 19 July, 14h30-16h, via Zoom with Ami Palmer (Uni. Texas) Message-ID: Dear All, I'm happy to share the details for the 3rd rTAIM Monthly Seminar focused on the Ethics of Artificial Intelligence in Medicine in a broad sense. This third seminar will be focused on AI in Medicine and Healthcare Settings. Date: 19 July 2023 | 14h30 - 16h (Lisbon Time Zone) Speaker: Ami Palmer (University of Texas) Title: From Theory to Practice: The Ethics of Deploying AI in Healthcare Settings Abstract: Current national and international guidance for the ethical design and development of AI and robotics emphasizes ethical theory. Various governing and advisory bodies have generated sets of broad ethical principles which institutional decision-makers are encouraged to apply to particular practical decisions. While much of this literature examines the ethics of designing and developing AI and robotics, medical institutions typically must make purchase and deployment decisions about technologies that have already been designed and developed. The primary problem facing medical institutions is not one of ethical design but of ethical deployment. The purpose of this paper is to develop a practical model by which medical institutions may make ethical deployment decisions about ready-made advanced technologies. Our slogan is ?more process, less principles.? Ethically sound decision making requires that the process by which medical institutions make such decisions include participatory, deliberative, and conservative elements. We argue that our model preserves the strengths of existing frameworks, avoids their shortcomings, and delivers its own moral, practical, and epistemic advantages. Short bio: Amitabha (Ami) Palmer received his PhD in Philosophy from Bowling Green State University and is a clinical ethicist at the University of Texas MD Anderson Cancer Center. His primary areas of research focus on the ethics of AI and robotics in clinical settings and the effects of medical misinformation. Here is the info you need to access the seminar: ID: 992 8853 6587 Password: 411427 Link: https://videoconf-colibri.zoom.us/j/99288536587?pwd=V1ZWSU1Ra1dKeldiQmNHMmlydjExUT09 More info on the Seminars: https://trustaimedicine.weebly.com/rtaim-seminars.html Thank you very much, Steven S. Gouveia Ph.D. (University of Minho) ex-PostDoc Fellow (Uni. Ottawa) & CEFH (Portuguese Catholic Uni., PT) Research Fellow (2023-2029) Mind, Language & Action Group (Uni. Porto, PT) Honorary Professor, Faculty of Medicine (Uni. Andr?s Bello, Chile) https://stevensgouveia.weebly.com (Books, papers, talks, etc) -------------- next part -------------- An HTML attachment was scrubbed... URL: From blextar at gmail.com Thu Jul 13 09:26:06 2023 From: blextar at gmail.com (Luca Rossi) Date: Thu, 13 Jul 2023 15:26:06 +0200 Subject: Connectionists: 1st TC2 Summer School on Deep Learning on Graphs Message-ID: The Technical Committee 2 of the International Association for Pattern Recognition (https://sites.google.com/view/iapr-tc2/) is offering a PhD Summer School on "Deep Learning on Graphs" that will be held at The Hong Kong Polytechnic University (https://www.polyu.edu.hk/en) on the 31st of August 2023. The event will be FREE of charge and will see a full day of talks from an international team of speakers. Interested applicants should submit an updated copy of their CV by the 4th of August following the instructions available on the event website. For more details visit https://sites.google.com/view/tc2-dlg Important dates: Application submission deadline - 4 August 2023 Applicants notification - 11 August 2023 Summer school - 31 August 2023 -- Luca Rossi Assistant Professor Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University https://blextar.github.io/luca-rossi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Thu Jul 13 09:40:06 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 13 Jul 2023 15:40:06 +0200 Subject: Connectionists: Call for Applications: Join the PLOS Complex Systems Editorial Board Message-ID: View this email in your browser [image: PLOS Complex Systems] *Introducing our new journal **PLOS Complex Systems* *Learn more * *PLOS Complex Systems* will publish research of broad significance that untangles the complex systems at the heart of the world we live in. Open Science options at every stage of research communication facilitate new connections that inspire ideas and accelerate progress across disciplines while cross-fertilizing knowledge that enable solutions to fundamental challenges facing our society today. *Explore now* *Interested in joining the PLOS Complex Systems Editorial Board?* Are you a researcher who believes in breaking boundaries to advance science communication? That research should be open, transparent and fair? If so, you might be a fit for our Editorial Board. *Find out more * *Meet the Editor-in-Chief* [image: Hocine Cherifi] *Hocine Cherifi* Hocine Cherifi is a distinguished Full Professor of Computer Science at the University of Burgundy in Dijon, France. His primary research interests lie in the fields of Computer Vision Data Science and Complex Networks, and he has made significant contributions to his areas of expertise: as an author of over 250 scientific papers and conference proceedings, assuming leadership roles in more than 20 international conference organizations, and having served on over 100 program committees. *0000-0001-9124-4921* *Stay up-to-date* *Receive regular PLOS Complex Systems news and updates by signing up to our email list.* *Get updates * -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Thu Jul 13 18:40:49 2023 From: jkrichma at uci.edu (Jeffrey L Krichmar) Date: Thu, 13 Jul 2023 15:40:49 -0700 Subject: Connectionists: CARLsim 6.1 Spiking Neural Network Simulator Release Introduces Axonal Plasticity Message-ID: Dear Connectionists, We are pleased to announce the 6.1 release of CARLsim. CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. CARLsim allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic x86 CPUs and standard off-the-shelf GPUs. The simulator provides a PyNN-like programming interface in C/C++, which allows for details and parameters to be specified at the synapse, neuron, and network level. CARLsim, which is in its 6th major iteration, is open-source and publicly available. With the release of CARLsim 6.1, we introduce axonal plasticity to simulate the biological phenomenon of experience dependent plasticity to the conductance velocity of axonal signaling. Axonal plasticity appears to be important for synchronization, skill learning, and many other potential applications. More information about the implementation and an example application can be found in our recent IJCNN paper, "Experience-Dependent Axonal Plasticity in Large-Scale Spiking Neural Network Simulations", which can be found at: https://www.socsci.uci.edu/~jkrichma/CARLsim61-IJCNN2023.pdf CARLsim 6.1 is available on GitHub: https://github.com/UCI-CARL/CARLsim6 Best regards, 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 samuel.kaski at manchester.ac.uk Thu Jul 13 12:22:30 2023 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Thu, 13 Jul 2023 16:22:30 +0000 Subject: Connectionists: Lecturer/Senior Lecturer (Assoc/Asst Prof) in Machine Learning and Programme Manager, Manchester, UK Message-ID: Now is the time to join the University of Manchester when it is significantly boosting its activities in Machine Learning. Lecturer/Senior Lecturer (Assoc/Asst Prof) in Machine Learning The University of Manchester is making a strategic investment in fundamentals of AI, to complement its existing strengths in AI applications across several prominent research fields in the University, which give high-profile application and collaboration opportunities for the outcomes of fundamental AI research. The university is one of the most active partners of the national Alan Turing Institute, hosts 27 Turing Fellows and Fellows of the European Laboratory of Learning and Intelligent Systems ELLIS, in the new ELLIS Unit Manchester. The university?s ambition is to establish a leading AI centre at the cross section of these opportunities. The university has recently launched a Centre for AI Fundamentals and has already recruited four new academics to it. This lectureship continues this series of positions in establishing the new Centre. Applications are welcome in any area of the fundamentals of machine learning, in particular probabilistic modelling, deep learning, reinforcement learning, causal modelling, human-in-the-loop ML, explainable AI, ethics, privacy and security. This position is meant to contribute to machine learning methodologies and not purely to their applications, but note that applications of ML are highly valued within the University. You are expected to be interested in building your career by contributing to the new centre and exploring collaboration opportunities in both methods and applications in the university, in addition to building international networks. You will be located in the Department of Computer Science and, in addition to the new centre for Fundamental AI research, you will belong to a large community of machine learning, data science and AI researchers. The university takes pride in its ability to collaborate seamlessly across its departments, schools and faculties. Some of the most useful links include the Alan Turing Institute, ELLIS, the Institute for Data Science and Artificial Intelligence, and the new Christabel Pankhurst Institute for Health Technology. DL For Senior Lecturer / Lecturer: August 25, 2023 https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=25824 Programme Manager ? Centre for AI Fundamentals The University of Manchester is seeking to appoint an individual with a strategic mindset and a track record of building and leading collaborative relationships and professional networks, expertise in a domain ideally related to artificial intelligence, excellent communication and interpersonal skills, experience in managing high-performing teams, and demonstrable ability to support the preparation of large, complex grant proposals to take up the role of Programme Manager for the Centre for AI Fundamentals. The recently established Centre for AI Fundamentals is a cross-Faculty initiative that builds on the award of a Turing AI World-Leading Researcher Fellowship together with significant internal investment, and forms part of an ambitious plan to establish Manchester as an internationally-leading centre for AI research and innovation. The successful candidate will play a major role in developing and shaping the Centre, working closely with its Director to grow the Centre and plan and deliver an exciting programme of activities, including leading key science translational activity and development of use cases in the Centre?s key domains, partnership development, bid writing, resource management, impact and public engagement strategies. The role will involve working synergistically with existing University functions and activities to maximise benefits to the University, including working closely with the Business Engagement and Knowledge Exchange functions on activities involving industry. DL for Programme Manager: July 31, 2023 https://www.jobs.manchester.ac.uk/Job/JobDetail?isPreview=Yes&jobid=23821&advert=external More information: https://manchester.ac.uk/ai-fun -------------- next part -------------- An HTML attachment was scrubbed... URL: From mariya.k.toneva at gmail.com Fri Jul 14 03:31:44 2023 From: mariya.k.toneva at gmail.com (Mariya Toneva) Date: Fri, 14 Jul 2023 09:31:44 +0200 Subject: Connectionists: Three PhD students, one postdoc on neurosymbolic models Message-ID: The Research Training Group 2853 ?Neuroexplicit Models of Language, Vision, and Action? is looking for 3 PhD students and 1 postdoc November 2023 or later Neuroexplicit models combine neural and human-interpretable (?explicit?) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (?Language?), computer vision (?Vision?), and planning and reinforcement learning (?Action?) through the use of neuroexplicit models and investigate the cross-cutting design principles of effective neuroexplicit models (?Foundations?). The RTG is scheduled to grow to a total of 24 PhD students and one postdoc by 2025. Through the inclusion of ~20 further PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world. The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are colocated on the same campus in Saarbr?cken, Germany. In a previous round of recruiting, we have already filled three PhD positions, leaving three positions free for applicants with a later MSc graduation date. The positions are funded as follows: - PhD students will be funded for up to four years at the TV-L E13 100% pay scale. You should have or be about to complete an MSc degree in computer science or a related field and have demonstrated expertise in one of the research areas of the RTG, e.g. through an excellent Master?s thesis or relevant publications. - The postdoc will initially be funded for three years, with the possibility of extension up to five years, at the TV-L E13 100% pay scale. As the RTG postdoc, you will pursue your own research agenda in the field of neuroexplicit models and work with the PhD students to identify and pursue opportunities for collaborative research. You should have or be about to complete a PhD in computer science or a related field and have demonstrated your expertise in one or more of the RTG?s research areas through publications in top venues. The RTG is part of the Saarland Informatics Campus, one of the leading centers for research in computer science, artificial intelligence, and natural language processing in Europe. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries. The CISPA Helmholtz Center, located on the same campus, is home to an additional 350 researchers and on track to grow to 800 by 2026. Researchers at SIC and CISPA are part of the ELLIS network and have been awarded more than 35 ERC grants. Each PhD student in the RTG will be jointly supervised by two PhD advisors from the list of Principal Investigators below. Each student will freely define their own research topic; we encourage the choice of topics that cross the traditional boundaries of research fields. Students may be affiliated with Saarland University or with one of the participating institutes. Vera Demberg, Saarland University - Computational Linguistics J?rg Hoffmann, Saarland University - AI Planning Eddy Ilg, Saarland University - Computer Vision, Machine Learning Dietrich Klakow, Saarland University - Natural Language Processing Alexander Koller, Saarland University - Computational Linguistics Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning Philipp Slusallek, DFKI and Saarland University - Computer Graphics, Artificial Intelligence Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning Mariya Toneva, MPI for Software Systems - Computational Neuroscience, Machine Learning Isabel Valera, Saarland University - Machine Learning Jilles Vreeken, CISPA - Machine Learning, Causality Joachim Weickert, Saarland University - Mathematical Data Analysis Verena Wolf, DFKI and Saarland University - Modeling and Simulation, Reinforcement Learning Ellie Pavlick, Brown University and Google AI, will join us regularly as a Mercator Fellow. Please send your application by 31 July 2023 to apply at neuroexplicit.org. Include the reference number W2350 for the postdoc position and the reference number W2351 for the PhD positions. We aim to conduct job interviews in September, ideally in person in Saarbr?cken, Germany. Make sure to check the RTG website for details on the application process and what materials to include in the application: https://www.neuroexplicit.org/jobs For all further information about the RTG, check out our website: https://www.neuroexplicit.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From sara.magliacane at gmail.com Fri Jul 14 04:25:46 2023 From: sara.magliacane at gmail.com (Sara Magliacane) Date: Fri, 14 Jul 2023 10:25:46 +0200 Subject: Connectionists: [CFP] NeurIPS workshop on Causal Representation learning - deadline Sept 29 Message-ID: We warmly invite you to submit a paper and participate in our Causal Representation Learning workshop (https://crl-workshop.github.io/) that will be held *December 15 or 16, 2023* at NeurIPS 2023, New Orleans, USA. Causal Representation Learning is an exciting intersection of machine learning and causality that aims at learning low-dimensional, high-level causal variables along with their causal relations directly from raw, unstructured data, e.g. images. The submission deadline is *September 29, 2023, 23:59 AoE* and the submission link is https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/CRL. More information below. ***MOTIVATION AND TOPICS*** Current machine learning systems have rapidly increased in performance by leveraging ever-larger models and datasets. Despite astonishing abilities and impressive demos, these models fundamentally *only learn from statistical **correlations* and struggle at tasks such as *domain generalisation, adversarial examples, or planning*, which require higher-order cognition. This sole reliance on capturing correlations sits at the core of current debates about making AI systems "truly'' understand. One promising and so far underexplored approach for obtaining visual systems that can go *beyond correlations* is integrating ideas from causality into representation learning. Causal inference aims to reason about the effect of interventions or external manipulations on a system, as well as about hypothetical counterfactual scenarios. Similar to classic approaches to AI, it typically assumes that the causal variables of interest are given from the outset. However, real-world data often comprises high-dimensional, low-level observations (e.g., RGB pixels in a video) and is thus usually not structured into such meaningful causal units. To this end, the emerging field of causal representation learning (CRL) combines the strengths of ML and causality. In CRL we aim at learning low-dimensional, high-level causal variables along with their causal relations directly from raw, unstructured data, leading to representations that support notions such as causal factors, interventions, reasoning, and planning. In this sense, CRL aligns with the general goal of modern ML to learn meaningful representations of data that are more robust, explainable, and performant, and in our workshop we want to catalyze research in this direction. This workshop brings together researchers from the emerging CRL community, as well as from the more classical causality and representation learning communities, who are interested in learning causal, robust, interpretable and transferrable representations. Our goal is to foster discussion and cross-fertilization between causality, representation learning and other fields, as well as to engage the community in identifying application domains for this emerging new field. In order to encourage discussions, we will welcome submissions related to any aspect of CRL, including but not limited to: - Causal representation learning, including self-supervised, multi-modal or multi-environment CRL, either in time series or in an atemporal setting, observational or interventional, - Causality-inspired representation learning, including learning representations that are only *approximately* causal, but still useful in terms of generalization or transfer learning, - Abstractions of causal models or in general multi-level causal systems, - Connecting CRL with system identification, learning differential equations from data or sequences of images, or in general connections to dynamical systems, - Theoretical works on identifiability in representation learning broadly, - Real-world applications of CRL, e.g. in biology, healthcare, (medical) imaging or robotics; including new benchmarks or datasets, or addressing the gap from theory to practice. ***IMPORTANT DATES*** Paper submission deadline: *September 29, 23:59 AoE * Notification to authors: October 27, 2023, 23:59 AoE Camera-ready version and videos: December 1, 2023, 23:59 AoE Workshop Date: December 15 or 16, 2023 at NeurIPS ***SUBMISSION INSTRUCTIONS*** As for all NeurIPS workshops, submissions should contain original and previously unpublished research and they should be formatted using the NeurIPS latex style. Papers should be submitted as a PDF file and should be maximum 6 pages in length, including all main results, figures, and tables. Appendices containing additional details are allowed, but reviewers are not expected to take this into account. The workshop will not have proceedings (or in other words, it will not be archival), which means you can submit the same or extended work as a publication to other venues after the workshop. This means we also accept (shortened versions of) submissions to other venues, as long as they are not published before the workshop date in December. Submission site: https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/CRL ***ORGANIZERS*** Sara Magliacane, University of Amsterdam and MIT-IBM Watson AI Lab Atalanti Mastakouri, Amazon Yuki Asano, University of Amsterdam and Qualcomm Research Claudia Shi, Columbia University and FAR AI Cian Eastwood, University of Edinburgh and Max Planck Institute T?bingen S?bastien Lachapelle, Mila and Samsung?s SAIT AI Lab (SAIL) Bernhard Sch?lkopf, Max Planck Institute T?bingen Caroline Uhler, MIT and Broad Institute -------------- next part -------------- An HTML attachment was scrubbed... URL: From rayyes.r at gmail.com Fri Jul 14 05:31:03 2023 From: rayyes.r at gmail.com (Rania Rayyes) Date: Fri, 14 Jul 2023 11:31:03 +0200 Subject: Connectionists: [Job] PhD position in Robot Learning, KIT, Germany Message-ID: For the group "Robotics and AI" at Karlsruhe Institute of Technology (KIT), and in cooperation with "InnovationsCampus Mobilit?t der Zukunft" (ICM), we are looking for full-time academic staff (100 %) available immediately, up to 5 years, 100% TV-L, E 13. The main focus of this position is to develop novel AI systems and methods for robot applications: - Dexterous robot grasping - Human-robot learning - Transfer learning ? efficient online learning - Dexterous robot grasping - Human-robot learning - Transfer learning ? efficient online learning *Qualifications:* - You have a very good degree (diploma/master's degree) in computer science, mechatronics, mechanical engineering, industrial engineering, or a comparable field - You have very good programming skills (e.g., Python, C++) - You have a previous experience in hardware-related programming of robots (e.g. with ROS) - *(Deep) Reinforcement Learning* background is a plus - Your profile: highly motivated, independent with a high level of personal responsibility, good communication, and teamwork skills *What we offer:* - Close cooperation with other institutes, universities, and numerous industrial partners - Self-determined development environment for own research topics with active support for the doctorate research project - Flexible working hours - Work in a young, interdisciplinary research team *Application:* Please send your application in the form of *ONE SINGLE PDF* and named as follow *your NAME_AIR_0105.pdf* incl: (Motivation letter, CV, certificate, transcripts, state any previous robotics experience) by e-mail to: application-air at ifl.kit.edu *Questions: * application-air at ifl.kit.edu *Deadline: **30.0**7**.2023* More details *https://www.ifl.kit.edu/5026_5764.php * *https://www.ifl.kit.edu/download/17-05-23-EN-Akademischer%20Mitarbeiter%20Robotik_ICM.pdf * --- Jun.-Prof. Dr.-Ing. Rania Rayyes Karlsruher Institut f?r Technologie (KIT) Institut f?r F?rdertechnik und Logistiksysteme (IFL) InnovationsCampus Mobilit?t der Zukunft (ICM) Geb?ude 50.38, Gotthard-Franz-Stra?e 8, 76131 Karlsruhe https://www.ifl.kit.edu/mitarbeiter_5688.php -------------- next part -------------- An HTML attachment was scrubbed... URL: From rayyes.r at gmail.com Fri Jul 14 07:05:46 2023 From: rayyes.r at gmail.com (Rania Rayyes) Date: Fri, 14 Jul 2023 13:05:46 +0200 Subject: Connectionists: [Job] PhD position in Robot Learning, KIT, Germany In-Reply-To: References: Message-ID: For the group "Robotics and AI" at Karlsruhe Institute of Technology (KIT), and in cooperation with "InnovationsCampus Mobilit?t der Zukunft" (ICM), we are looking for full-time academic staff (100 %) available immediately, up to 5 years, 100% TV-L, E 13. The main focus of this position is to develop novel AI systems and methods for robot applications: - Dexterous robot grasping - Human-robot learning - Transfer learning ? efficient online learning *Qualifications:* - You have a very good degree (diploma/master's degree) in computer science, mechatronics, mechanical engineering, industrial engineering, or a comparable field - You have very good programming skills (e.g., Python, C++) - You have a previous experience in hardware-related programming of robots (e.g. with ROS) - *(Deep) Reinforcement Learning* background is a plus - Your profile: highly motivated, independent with a high level of personal responsibility, good communication, and teamwork skills *What we offer:* - Close cooperation with other institutes, universities, and numerous industrial partners - Self-determined development environment for own research topics with active support for the doctorate research project - Flexible working hours - Work in a young, interdisciplinary research team *Application:* Please send your application in the form of *ONE SINGLE PDF* and named as follow *your NAME_AIR_0105.pdf* incl: (Motivation letter, CV, certificate, transcripts, state any previous robotics experience) by e-mail to: application-air at ifl.kit.edu *Questions: * application-air at ifl.kit.edu *Deadline: **30.0**7**.2023* More details *https://www.ifl.kit.edu/5026_5764.php * *https://www.ifl.kit.edu/download/17-05-23-EN-Akademischer%20Mitarbeiter%20Robotik_ICM.pdf * --- Jun.-Prof. Dr.-Ing. Rania Rayyes Karlsruher Institut f?r Technologie (KIT) Institut f?r F?rdertechnik und Logistiksysteme (IFL) InnovationsCampus Mobilit?t der Zukunft (ICM) Geb?ude 50.38, Gotthard-Franz-Stra?e 8, 76131 Karlsruhe https://www.ifl.kit.edu/mitarbeiter_5688.php -------------- next part -------------- An HTML attachment was scrubbed... URL: From er.anubajaj at gmail.com Fri Jul 14 09:20:09 2023 From: er.anubajaj at gmail.com (Anu Bajaj) Date: Fri, 14 Jul 2023 13:20:09 +0000 Subject: Connectionists: Second Call for Book Chapters: Computational Intelligence based Hyperspectral Image Analysis, Springer (Scopus Indexed) Message-ID: **Second Call for Book Chapters - please circulate this CFP to your colleagues and networks ** Dear Colleagues We cordially invite researchers and scientists working in hyperspectral image analysis all around the globe to participate and submit their research work to contribute to our book titled "Computational Intelligence based Hyperspectral Image Analysis". It would help if you could let us know the tentative title of your contribution within 10 days of receiving this mail so that we can plan / structure the table of contents of the book. Submission link: https://forms.gle/owMZQys1yd6zXtkMA Scope of the Book: -------------------- Computational Intelligence (CI) based hyperspectral image analysis has gained significant importance in recent years due to its ability to extract valuable information from hyperspectral images and make predictions. Hyperspectral images provide a rich source of information about the composition and properties of objects in the environment. However, the vast amount of data generated by hyperspectral images can be overwhelming and hard to analyze. With their ability to provide valuable insights and improve decision-making, Computational Intelligence techniques act as a powerful tool that aids in automatic analysis and improves accuracy. Recent advances in the field have provided new and exciting ways to employ CI-based hyperspectral image analysis in many diverse applications. The book aims to showcase these latest achievements and novel approaches in this field, focusing on their wide applications in agriculture, the environment, defense, medical diagnostics, food and product inspection, and mineral exploration. It will be an essential resource for those seeking to deepen their understanding of how hyperspectral image analysis can combine with computational intelligence techniques to solve specific tasks in different application fields from a multidisciplinary perspective. The topics include, but are not limited to: --------------------------------------------- Hyperspectral Image Acquisition Hyperspectral Image Enhancement Hyperspectral Image Clustering Hyperspectral Image Representation Hyperspectral Image Restoration Hyperspectral Image Filtering Hyperspectral Image Classification Hyperspectral Image Segmentation Hyperspectral Image Retrieval and Indexing Hyperspectral Image Compression Spatial/Spectral Super-Resolution Computational Imaging Object Detection Applications in Remote Sensing Multispectral/Hyperspectral Image Processing: Band Selection, Dimensionality Reduction, Compressive Sensing, Sparse Representation, Image Registration/Matching, Image Denoising/Destriping, Image Fusion/Pansharpening Unsupervised Learning, Semi-supervised Learning, Transfer Learning, Deep Learning on Hyperspectral Images Real time Monitoring and applications Important Dates: --------------------- Full Chapter Submission Deadline August 30, 2023 Final Notification of Acceptance October 15, 2023 Final Chapter Submission Deadline November 15, 2023 Publisher Details: ---------------------- This book will be published in the Springer Series "Intelligent Systems Reference Library" (Electronic ISSN: 1868-4408, Print ISSN: 1868-4394) Indexed by: SCOPUS, SCImago, DBLP, zbMATH, Norwegian Register for Scientific Journals and Series Submission Guidelines: ---------------------- The length of a book chapter should be between 20 and 30 pages. Chapters must be formatted according to Springer format (Latex or Word). The manuscript should be submitted in Word or Latex files. The plagiarism rate should be less than 15%. The figure should not have any copyright issues; either it can be redrawn or a copyright certificate should be obtained. There is no processing or publication charge for this book. More details on https://sites.google.com/view/cihia2023/home ----- Best Regards Editors: Ajith Abraham, Flame University, Pune, India; Machine Intelligence Research Labs (MIR Labs), USA Anu Bajaj, Thapar Institute of Engineering and Technology, Patiala, Punjab, India Jyoti Maggu, Thapar Institute of Engineering and Technology, Patiala, Punjab, India Information contact: Anu Bajaj (er.anubajaj at gmail.com) [image: beacon] -------------- next part -------------- An HTML attachment was scrubbed... URL: From davrot at neuro.uni-bremen.de Fri Jul 14 11:33:29 2023 From: davrot at neuro.uni-bremen.de (David Rotermund) Date: Fri, 14 Jul 2023 17:33:29 +0200 Subject: Connectionists: =?utf-8?q?Hybrid_Workshop_=E2=80=98Cortical_Prost?= =?utf-8?q?heses_-_Interdisciplinary_Research_Towards_Artificial_Vision_fo?= =?utf-8?q?r_the_Blind=E2=80=99_=28September_19-22=2C_2023=29?= Message-ID: <2ee2cb52-bf2f-313a-0cd4-d76ad82ed4ce@neuro.uni-bremen.de> We would like to invite you to participate in our excellence workshop *?Cortical Prostheses ? Interdisciplinary Research Towards Artificial Vision for the Blind?*. It will take place *September 19-22, 2023 at the Hanse-Wissenschaftskolleg in Delmenhorst (near Bremen, Germany)*. As you might know quite well from your own experience, it is a huge problem to interface with the brain and to successfully introduce artificial, meaningful signals into on-going neural information processing. On the other hand, exciting possibilities in medical and fundamental research are waiting to be explored and to be realized. In particular, it becomes more and more obvious that making communication with the brain more efficient requires a much more profound understanding about 'normal' visual information processing in healthy subjects. This workshop will address major topics and challenges in this field: ** Advances in neurotechnology** *** Advances in the understanding of visual information processing** *** Novel methods for combining theory and technology* Our workshop will bring together experimentalists, technologists, medical scientists, and theoreticians who are the experts in getting meaningful signals into neuronal circuits actively engaged in information processing. Speakers include *Diego Ghezzi, Pieter Roelfsema, Eduardo Fernandez Jover, Bogdan Raducanu, Arto V. Nurmikko, Umut Guclu, Christopher Pack, Michael Herzog, Avi Caspi, Shelley I. Fried, Udo Ernst, Fabian Sinz, Carlos Ponce, Theo Doll, Ione Fine, Daniel Yoshor, Michael Beyeler, Bj?rn L?ssem, Schander Andreas, Michael Schmid, and Dirk Jancke.** *** There are two options for attending the workshop: *a.) On-site at the Hanse-Wissenschaftskolleg in Delmenhorst (limited number of available slots)*, allowing for in-depth discussions and presentation of your own work in a poster session. The registration fee is 100 Euros and covers participation and catering during the workshop. The deadline for registering for on-site participation is the Sunday, July 23rd. The registration is a two step process: You inform us that you are interested in registering via the webform on https://www.uni-bremen.de/i-see/hwk-workshop or via an email to ajanssen at neuro.uni-bremen.de. You will then be contacted by the HWK for finalizing the registration process. b.) *Via Zoom at no cost*. You also need to register via the webform on https://www.uni-bremen.de/i-see/hwk-workshop, and we will send you your access code shortly before the start of the workshop. For more details and information how register please visit: https://www.uni-bremen.de/i-see/hwk-workshop Please feel free to forward the following information to anyone in or outside of your group who you think may be interested in attending our workshop. -- *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 stefan.wermter at uni-hamburg.de Fri Jul 14 13:17:02 2023 From: stefan.wermter at uni-hamburg.de (Stefan Wermter) Date: Fri, 14 Jul 2023 19:17:02 +0200 Subject: Connectionists: [jobs] Doctoral Researcher - Transparent Interpretable Neural Robots Message-ID: At the University of Hamburg, Dept of Informatics, Knowledge Technology, we are looking for 1 additional Doctoral Candidate Researcher (PhD students)? in neural network technology, intelligent robotics and transparency/explainability in artificial intelligence. Project: TRAIL: TRAnsparent InterpretabLe robots (Doctoral Network, EU MSCA Project) Start date: 1.10. 2023 or as soon as possible, for 3 years Salary level: salary in accordance with the attractive EU MSCA Doctoral Network regulations for doctoral candidates Application deadline: 26 July 2023 The Doctoral Network TRAIL consists of 15 institutions including universities, research institutions and industry partners. The research area of TRAIL is neural network technology, intelligent robotics and transparency in artificial intelligence and is coordinated by Universit?t Hamburg. The focus of the research at Universit?t Hamburg is on neural networks and explainability for interactive social robotics. The position will be filled in the context of transparency and interpretation of neural networks for interactive cognitive robots.? The researcher will focus on the following indicative topics: Interpretable representations in deep learning architectures or automated interpretation of neural mappings for cognitive robotics. The successful candidate will receive an attractive salary in accordance with the MSCA regulations for Early-Stage Researchers. The exact (net) salary will be confirmed upon appointment and is dependent on local tax regulations and on the country correction factor (to allow for the difference in cost of living in different EU Member States). The salary includes a living allowance, a mobility allowance and a family allowance (if applicable). Furthermore, TRAIL will offer to take advantage of joint scientific research trainings, transferable skills workshops, and international conferences. For more information about the project and consortium see https://www.inf.uni-hamburg.de/en/inst/ab/wtm/research/trail.html Requirements: MSc or demonstrated equivalent in Artificial Intelligence, Computer Science or Engineering with a focus on Intelligent Systems, Intelligent Robotics or Neural Networks is required. Excellent programming skills (Python, C++, PyTorch, Machine Learning Frameworks, ROS etc.) are needed and expertise in at least one of neural networks or intelligent robotics is needed. Publications are a desired advantage. The posts involve substantial traveling within Europe. Each PhD student will be expected to spend secondments at other partner sites and travel to international conferences. According to EU mobility rules, the doctoral researcher must not have resided or carried out their main activity (work, studies, etc.) in Germany for longer than 12 months in the 3 years immediately prior to their recruitment. Applicants who already have a doctoral degree are NOT eligible and should NOT apply. Excellent English communication skills are an important requirement. Application: Upload your complete application documents (cover letter, curriculum vitae with details about where you resided or carried out your main activity [work, studies, etc.] in the three years immediately prior to the application deadline, copies of degree certificate[s], names and email contacts for two referees who would be willing to write a letter of support for your application, any English language certificates) via the online application form only. For more details on how to apply please go to: https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=e66be09393962951c113a5d0ef89eba57fb6c6cd *********************************************** Professor Dr. Stefan Wermter Director of Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Email: stefan dot wermter AT uni-hamburg.de https://www.informatik.uni-hamburg.de/WTM/ https://www.informatik.uni-hamburg.de/~wermter/ *********************************************** -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4734 bytes Desc: S/MIME Cryptographic Signature URL: From epiasini at sissa.it Fri Jul 14 14:10:11 2023 From: epiasini at sissa.it (Eugenio Piasini) Date: Fri, 14 Jul 2023 18:10:11 +0000 Subject: Connectionists: Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 31 August Message-ID: Up to 5 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2023. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience Department (https://phdcns.sissa.it/) hosts 7 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, and neural computation. The Department is highly interdisciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open. The application deadline is 31 August 2023. To learn how to apply, please visit https://phdcns.sissa.it/admission-procedure . Please contact the PhD Coordinator Mathew Diamond (diamond at sissa.it) and/or your prospective supervisor for more information and informal inquiries. Best wishes, Eugenio Piasini -- Eugenio Piasini International School for Advanced Studies (SISSA) Via Bonomea 265, 34136 Trieste - Italy https://people.sissa.it/~epiasini From epiasini at sissa.it Fri Jul 14 17:13:23 2023 From: epiasini at sissa.it (Eugenio Piasini) Date: Fri, 14 Jul 2023 21:13:23 +0000 Subject: Connectionists: *CORRECTION*: Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 28 August In-Reply-To: References: Message-ID: *CORRECTION*: THE DEADLINE IS 28 AUGUST. Please find below the updated ad; apologies for the confusion. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience Department (https://phdcns.sissa.it/) hosts 7 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, and neural computation. The Department is highly interdisciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open. The application deadline is 28 August 2023. To learn how to apply, please visit https://phdcns.sissa.it/admission-procedure . Please contact the PhD Coordinator Mathew Diamond (diamond at sissa.it) and/or your prospective supervisor for more information and informal inquiries. Best wishes, Eugenio Piasini -- Eugenio Piasini International School for Advanced Studies (SISSA) Via Bonomea 265, 34136 Trieste - Italy https://people.sissa.it/~epiasini From Brad at kairosresearch.com Sat Jul 15 08:30:32 2023 From: Brad at kairosresearch.com (Brandon Minnery) Date: Sat, 15 Jul 2023 12:30:32 +0000 Subject: Connectionists: Industry Job Posting - Cognitive Data Scientist Message-ID: [Please excuse duplicate posts] Greetings, Kairos Research (https://kairosresearch.com) is a young and dynamic company based in Dayton, OH, conducting research at the intersection of human and machine cognition. We currently have an opening for a full-time Cognitive Data Scientist to help execute and grow our expanding portfolio of government-sponsored research in the human sciences. The Cognitive Data Scientist will play a major role in supporting our human performance data modeling and data analytics efforts with the Air Force Research Laboratory, as well as other projects that involve extracting insights from a wide variety of physiological and cognitive datasets (ranging from wearable sensors data to cognitive and behavioral performance data). The ideal candidate is a highly creative, self-motivated individual who possesses a deep understanding of leading-edge techniques in data science, statistical modeling, and/or machine learning. The candidate should also possess a strong publication record and a willingness and ability to seek independent research funding. Additionally, because Kairos is a small company with a highly collaborative work culture, we especially seek candidates who are outgoing and enjoy interacting with their colleagues and with our government sponsors. Other recent Kairos projects span topics such as explainable AI, trust in automation, human-robot interaction, the cognitive science of intelligence analysis, and the identification and tracking of influence narratives on social media. In addition to the Air Force, our current and past sponsors include organizations such as DARPA, IARPA, the Office of Naval Research, the Army SBIR Program, the National Institutes of Health, and Special Operations Command. [Note that prior experience working on projects funded by the Department of Defense (DoD) and/or related to national security is a strong plus but is not required for this position.] NOTE: This is a great opportunity for an academic research scientist who is seeking a career change but who wants to continue pursuing original research! JOB LOCATION: Dayton, OH REQUIRED: 1. US citizenship or green card. 2. PhD in Cognitive Science, Computer Science, Engineering, Psychology, Neuroscience, Social-Behavioral Sciences, Human Factors, or related discipline (the specific field of study is less important than the candidate?s experience and skills). 3. Experience with advanced regression techniques, including hierarchical models, nonlinear models, multivariate (i.e., multiple outcomes) models, mixture models, and ensemble models?all in the context of a variety of outcome types (e.g., binary choices, Likert ratings, response times, etc.). 4. 3+ years research experience (includes postdoctoral research). 5. Excellent written and oral presentation skills. 6. A highly collaborative mindset. PREFERRED: 1. Familiarity and experience with methods for analyzing noisy, high-dimensional data, including various dimensionality reduction methods (PCA, t-SNE, etc.). 2. Familiarity with contemporary machine learning techniques, including deep neural networks, especially as applied to natural language processing. 3. Experience leading and/or contributing substantially to successful research proposals (need not be defense-related; could include NSF, NIH, etc.). CONTACT: Interested candidates should email their CV/resume to Dr. Josh Fiechter (josh at kairosresearch.com), cc: techadmin at kairosresearch.com Brandon (Brad) Minnery, PhD Chief Executive Officer Kairos Research LLC https://kairosresearch.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahidullahmd at gmail.com Sun Jul 16 01:40:40 2023 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Sun, 16 Jul 2023 11:10:40 +0530 Subject: Connectionists: Jobs: Assistant and Associate Professors in AI/ML at TCG CREST, Kolkata, India Message-ID: ** Apologies for cross-posting ** ** Please forward this to anybody who might be interested. ** ***************************************************************************************************** Job Description: We are seeking highly qualified and motivated individuals for the positions of Assistant and Associate Professors in Artificial Intelligence (AI) and Machine Learning (ML). The successful candidate will join our esteemed faculty in the Institute for Advancing Intelligence (IAI), TCG Centre for Research and Education in Science and Technology (CREST), Kolkata, India, and contribute to our commitment to excellence in research, teaching, and academic services. Please visit https://www.tcgcrest.org/institutes/iai/ for more information. TCG CREST has set up the campus in Sector V, Salt Lake City, Kolkata, India. State-of-the-art laboratories and research facilities for the individual Institutes, spacious classrooms and technology interventions for executing both off-line and on-line academic classes and programs, conference rooms, and other infrastructures provide the students and the faculty an ideal environment for creative exchanges and high-end research collaborations. Main Responsibilities: ? Perform world-class research in the state-of-the-art AI/ML methods, engage in scholarly research activities, including publishing in reputable journals and presenting at prestigious international conferences. ? Mentor and advise Ph.D. students, providing guidance and support in their academic and career development. ? Actively participate to develop multi-disciplinary research collaboration with other verticals within TCG CREST and other renowned institutions around the globe. ? Obtain Governmental and industrial funding for goal-oriented ML research projects and consultancy ? Teach undergraduate and graduate courses in AI and ML, including but not limited to: Deep Learning, Computer Vision, Natural Language Processing, Predictive Analytics, Business Intelligence, Privacy-preserving ML, Language Modeling, and Data Visualization. ? Participate in departmental meetings, committees, and other service-related activities. ? Stay current with advancements in AI and ML fields and incorporate them into teaching and research. Qualifications: ? Minimum 3 years of post-Ph.D. research experience. ? A Ph.D. degree in a relevant field such as Computer Science, ML, Data Science, Metaverse or a related discipline from a reputed institute in India or abroad. ? A strong academic record at the graduate and post-graduate levels ? Strong expertise and research experience in AI/ML or related areas. ? Active engagement in scholarly activities, including a track record of publications in reputable journals and presentations at top-tier conferences. Compensation: Competitive salary package with respect to the top Central Institutes in India including IITs and IISc. Contact: If interested, contact with your current CV and a research statement to: Prof. (Dr.) Swagatam Das, Deputy Director, Institute for Advancing Intelligence (IAI), TCG CREST, Kolkata, India. E-mail: swagatam.das at tcgcrest.org, swagatamdas19 at yahoo.co.in ******************************************************************************************************************** -- Md Sahidullah Assistant Professor, Institute for Advancing Intelligence, TCG CREST, India website: *https://sahidullahmd.github.io/ * -- Md Sahidullah Assistant Professor, Institute for Advancing Intelligence, TCG CREST, India website: *https://sahidullahmd.github.io/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From constantin.rothkopf at cogsci.tu-darmstadt.de Sun Jul 16 15:07:50 2023 From: constantin.rothkopf at cogsci.tu-darmstadt.de (Constantin Rothkopf) Date: Sun, 16 Jul 2023 15:07:50 -0400 Subject: Connectionists: =?utf-8?q?Professorship_=28W3=29_for_=E2=80=9CCom?= =?utf-8?q?putational_Cognitive_Science=E2=80=9D_at_Technical_University_o?= =?utf-8?q?f_Darmstadt=2C_Center_for_Artificial_Intelligence_=26_Centre_fo?= =?utf-8?q?r_Cognitive_Science?= Message-ID: <1ab70fef-5c78-5254-5084-c4703a949be0@cogsci.tu-darmstadt.de> The Department of Human Sciences at the Technical University of Darmstadt invites applications for the position of a Professorship (W3) for ?Computational Cognitive Science? starting as soon as possible. The position holder will be a member of the Hessian Center for Artificial Intelligence - hessian.AI ( https://hessian.ai/) and provides research at the Center and will also be a member of the Centre for Cognitive Science ( https://www.cogsci.tu-darmstadt.de/). We are looking for an outstanding scientist who will represent the topic area of Computational Cognitive Science in research and teaching. The scientific focus of the position is on the computational and algorithmic modeling of behavioral data to understand the human mind. Exemplary research topics include, but are not limited to: + computational level models of perception, cognition, decision making, action, and learning as well as extended behavior and social interactions in humans, + algorithmic models that are able to simulate, predict, and explain human behavior, + model-driven behavioral research on human cognition. Successful candidates should demonstrate an outstanding scientific profile, with high-impact research contributions in the area of computational modeling of human behavior. A research profile that is able to interact with current developments in machine learning and artificial intelligence is desired. Candidates are expected to teach these topics in our undergraduate as well as graduate-level programs in Cognitive Science. Furthermore, a proven track record of successful collaboration in international research teams, with industry, or across research disciplines is a plus. The professorship is expected to strengthen the Hessian Center for Artificial Intelligence and TU Darmstadt?s Human Science department?s research focus on Cognitive Science, which belongs to one of the three distinguished research fields of Technical University of Darmstadt (Information + Intelligence). The current faculty at both the Hessian Center for Artificial Intelligence and the Centre for Cognitive Science maintain numerous vibrant collaborations and are jointly involved in several cluster projects, including ?The third Wave of AI? and ?The Adaptive Mind?. Depending on the candidate?s profile there is the opportunity to participate in joint research projects currently running at TU Darmstadt. This in particular includes the state funded cluster projects ?The Adaptive Mind (TAM)? ( https://www.theadaptivemind.de/) and ?The Third Wave of Artificial Intelligence (3AI)? ( https://hessian.ai/projects/3ai-the-third-wave-of-ai/). In addition to excellent scientific credentials, we seek a strong commitment to teaching in the department?s Bachelor and Masters programs in Cognitive Science. Experience in attracting third-party funding as well as participation in academic governance is expected. Technical University of Darmstadt is an autonomous university with broad excellence in research, an interdisciplinary profile, and clear focus areas in engineering sciences and information and communication technology. The professorship is a full professorship on a permanent basis. A prerequisite for applying is that additional academic achievements must be present; in general, the doctorate should be more than three years old at the time of application. The position will be remunerated in line with the German ?W-Besoldung? and subject to negotiations between the applicant and the university management in accordance with his/her experience and qualifications. The regulations for employment are specified under ?? 67 and 68 HessHG (Hessisches Hochschulgesetz). Technical University of Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications, applicants with a degree of disability of at least 50 or equal will be given preference. Technical University of Darmstadt is certified as a family-friendly university and offers a dual career program. Please submit applications with the usual attachments (CV including research and teaching achievements, list of publications, scans/copies of diplomas) as well as a research and teaching statement, quoting the code number 380, to the Chair of the Department of Human Sciences, Prof. Dr. Josef Wiemeyer (dekanat at humanw.tu-darmstadt.de). For further information or questions please contact Prof. Constantin Rothkopf, PhD, email constantin.rothkopf at tu-darmstadt.de. By submitting your application, you agree that your data may be stored and processed for the purpose of filling the vacancy. You can find our privacy policy on our webpage. Application deadline: October 1st, 2023. From stm at socio.org.uk Mon Jul 17 04:56:49 2023 From: stm at socio.org.uk (stm socio.org.uk) Date: Mon, 17 Jul 2023 08:56:49 +0000 Subject: Connectionists: Digital Data Processing 2023 Message-ID: Third International Conference on Digital Data Processing University of Bedfordshire Luton. UK November 27-29, 2023 Hybrid mode- Virtual/Physical www.socio.org.uk/ddp IEEE CPS will publish the proceedings (Xplore) Data grows voluminously and exponentially with heterogeneity and complexity. A single organisation or industry processes over a few million transactions hourly and stores several petabytes of data. We live in a world of tremendous pressure to analyse and process data more efficiently, where Data analytics can reflect hidden patterns, incomprehensible relationships, intrinsic information relations, and segmentation. Data applications have introduced cutting-edge possibilities in every activity in our life. Thus, studying data and its underlying structure, dynamics of data relations, and newer data technologies is a never-ending process. The literature and research on data management are enormous; they do not sufficiently solve the data processing requirements. Currently, the use of technology and interrelations among information pieces generate gargantuan amounts of data. Many studies tend to develop models and systems to analyse voluminous datasets. Analysing the impact of data leads to application domains on decisions that have a systematic influence. Knowledge generated from data analysis can enable the production of critical information for several domains. Hence this conference reviews and discusses the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology. This conference also highlights the current open research directions of data analytics that require further consideration. The proposed conference will discuss topics not limited to Data applications in various domains and activities Data in cloud Real-world data processing Data inaccuracy and reliability issues Data Ecosystem Business Analytics New data analytics techniques Physical and management challenges Privacy and Security Crowdsourcing and Sensing Data modelling Deep learning techniques Data fusion Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics Machine learning Network optimization Data in Biomedical Engineering Data in Materials science and mechanics Data handling and applications in domains Wireless Networking Data Management Data of Electronic & Embedded Systems Multi-media Systems Data Artificial Intelligence Models and Systems Data E-Computing Data Renewable Energies Data Publications The IEEE Xplore will publish the DDP papers. Besides modified versions of the papers will appear in the following journals. 1. Journal on Data Semantics 2. Technologies 3. Data Technologies and Applications 4. Journal of Digital Information Management 5. International Journal of Computational Linguistics 6. Journal of Computational Methods in Sciences and Engineering Important Dates Full Paper Submission: September 10, 2023 Notification of Acceptance/Rejection: October 10, 2023 Registration Due: November 10, 2023 Camera Ready Due: November 10, 2023 Workshops/Tutorials/Demos: November 28, 2023 Main conference: November 27-29, 2023 Post-conference proceedings: December 20, 2023 General Chair Ezendu Ariwa, Chair UK& RI IEEE TEMS, UK Program Chairs Ramiro Smano Robles, Instituto Superior de Engenharia do Porto Rua, Portugal Simon Fong, University of Macau, Macau Program Co-Chairs Ricardo Rodriguez Jorge, Autonomous University of Ciudad Juarez, Mexico ? Dion Goh, Nanyang Technological University, Singapore Publicity Chair Hathairat Ketmaneechairat, King Mongkut?s University of Technology, North Bangkok, Thailand Paper Submission: http://socio.org.uk/ddp/paper-submission/ Contact: stm at socio.org.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From worldwideneuro at gmail.com Mon Jul 17 09:15:44 2023 From: worldwideneuro at gmail.com (World Wide Neuro) Date: Mon, 17 Jul 2023 15:15:44 +0200 Subject: Connectionists: A worldwideneuro job board for neuroscience & machine learning Message-ID: <089400B0-38DC-4006-B5B2-DCEA754B50EC@gmail.com> Dear Colleagues, we would like to draw your attention towards worldwideneuro's job board world-wide.org/jobs , where you can find many opportunities (currently 77) for PhD, postdoc and PI positions. At the moment we mostly cover the field of neuroscience and machine learning, but we are expanding and open to any field. You can post open positions at (for free, of course) https://www.world-wide.org/jobs/employer-form/ Alternatively, if you are looking for a position, you can also post your own qualifications here: https://www.world-wide.org/jobs/job-seeker-form/ We will take your information and make suggestions of relevant labs (as well as interesting papers and talks on worldwideneuro.com) Please let us know if you have any questions or comments, Best wishes, Tim Vogels & Panos Bozelos with worldwideneuro.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From diochnos at ou.edu Mon Jul 17 23:40:12 2023 From: diochnos at ou.edu (Diochnos, Dimitrios) Date: Tue, 18 Jul 2023 03:40:12 +0000 Subject: Connectionists: Save the Date: ISAIM 2024 (Jan 8-10, 2024) Message-ID: <285DA33B-6CE6-4F11-830A-530246494C85@ou.edu> Save the Date - ISAIM is in-person again! January 8-10, 2024 - Fort Lauderdale The International Symposium for Artificial Intelligence and Mathematics Dear Colleagues, The three and a half years of pandemic, with its restrictions and uncertainty in travel, lead us to reduced conference participation and meetings together. We have passed this difficult time, and are very grateful to the folks from Florida Atlantic University for stepping forward to resume organizing ISAIM 2024 in-person. As in past years, there will be special topical sessions, general submission talks, invited plenary speakers, the traditional evening Ft. Lauderdale boat ride, banquet, and more. We will be meeting in sunny Fort Lauderdale, Florida, at one of the resort hotels on Fort Lauderdale Beach. SAVE THE DATE -- Sessions will be January 8-10, 2024, so you should plan to arrive before that. The ISAIM website for 2024 is up and running at with more information to be added as the plans take shape. ISAIM General Submission Track: The Program Co-chairs for the general submission track will be Claudio Gentile and Aldo Pacchiano. They will be working together with our Conference Chair, Frederick Hoffman, and Publications & Publicity Chair, Dimitrios Diochnos. Submission information will be posted on the website shortly. The deadline for submissions will be ?October 10, 2023. ISAIM Special Sessions: As in the past, we would welcome proposals from you and your colleagues to organize a Special Session or Track. Please contact Marty Golumbic if you are interested at . Accepted on a rolling basis. As of July 2023, we are happy to announce the following special tracks (more to follow): -- Boolean and pseudo-Boolean Functions, Organizers: Endre Boros and Yves Crama -- Alternative Models for Fairness in AI, Organizers: John Hooker, Tae Wan Kim, and Derek Leben -- Int'l Workshop on Combinatorial Image Analysis (22nd IWCIA), collocated with ISAIM 2024 Organizers: Valentin Brimkov and Reneta Barneva Hope to see you all in Florida, Marty Golumbic, on behalf of the ISAIM 2024 Committee From almayalanis at gmail.com Mon Jul 17 16:59:44 2023 From: almayalanis at gmail.com (Alma Y. Alanis) Date: Mon, 17 Jul 2023 14:59:44 -0600 Subject: Connectionists: Last chance to participate at Special Session on Computational Intelligence for Fault Detection and Isolation Message-ID: Do not miss this last chance to participate at Special Session on Computational Intelligence for Fault Detection and Isolation *Final deadline extension* ---------------------------------------------------------------------------------------- Please distribute (Apologies for cross posting) ---------------------------------------------------------------------------------------- Dear colleague, you are cordially invite to participate in Special Session on Computational Intelligence for Fault Detection and Isolation (CIFDI) https://attend.ieee.org/ssci-2023/special-session-computational-intelligence-for-fault-detection-and-isolation/ *at* *2023 IEEE Symposium Series on Computational Intelligence* *December 5th ? 8th 2023, Mexico City, Mexico* https://attend.ieee.org/ssci-2023/ The 2023 IEEE Symposium Series on Computational Intelligence (SSCI 2023) is a flagship annual meeting organized by the IEEE Computational Intelligence Society. It serves as a primary forum for multidisciplinary research in computational intelligence. Computational intelligence has become increasingly important for fault detection and isolation in a wide range of systems, including manufacturing processes, power grids, and transportation systems. By analyzing large volumes of data generated by these systems, machine learning algorithms can identify patterns and detect anomalies that might indicate the presence of faults or errors. These algorithms can also be used to predict when faults might occur, allowing for preventative maintenance and reducing the risk of downtime or safety hazards. In addition, computational intelligence techniques can aid in isolating the cause of a fault, which can be crucial for efficient repairs and minimizing the impact on the overall system As such, computational intelligence for fault detection and isolation represents a promising approach for improving the safety, reliability, and efficiency of complex systems. In the case of some authors who cannot attend the conference in person, their papers can be presented through an uploaded video. *Submission instructions* Contributions have to be submitted through the regular SSCI submission system at https://attend.ieee.org/ssci-2023/author/ Paper Submissions: *June 30, 2023* *Special Session Chairs* *Alma Y. Alanis* alma.alanis at academicos.udg.mx Universidad de Guadalajara, Mexico *Juan Anzurez-Marin* j.anzurez at ieee.org Universidad Michoacana de San Nicolas de Hidalgo, Mexico -------------- next part -------------- An HTML attachment was scrubbed... URL: From jarsalas at inf.ufrgs.br Tue Jul 18 01:12:05 2023 From: jarsalas at inf.ufrgs.br (Jaime Andres Riascos Salas) Date: Tue, 18 Jul 2023 00:12:05 -0500 Subject: Connectionists: 1st CFP IV Latin American Workshop on Computational Neuroscience (LAWCN 2023) - Institution University of Envigado, Colombia - 28 - 30 Nov 2023 Message-ID: CALL FOR PAPERS Paper Submission Deadline: August 1, 2023 IV LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE (LAWCN) November 28-30, 2023 Institution University of Envigado, Envigado, Colombia. www.lawcn.co Contact: lawcn at iue.edu.co Overview The IV Latin-American Workshop on Computational Neuroscience (LAWCN 2023) provides an international forum to bring students, academic researchers, and professionals from diverse backgrounds to present cutting-edge research on four major topics: Computational Neuroscience, Neuroscience, Neuroengineering, and Artificial Intelligence. Since the first edition, LAWCN has contributed to revealing knowledge about the brain in an enthusiastic atmosphere for sharing ideas, creating networks, and fostering collaboration among Latin countries and the world. The current edition is organized by the research group "Grupo de Investigaci?n Tecnolog?as Emergentes Sostenibles e Inteligentes GITESI" from the Engineering Faculty of the Institution University of Envigado (IUE), in collaboration with the Colegio Colombiano de Neurociencias (COLNE), the most representative association of neuroscience researchers and students in Colombia. The workshop will take place in the city of Envigado (Antioquia - Colombia) from November 28 to 30, 2023. This is the first LAWCN edition outside of Brazil, expanding its presence to Latin America, seeking for enhancing the collaboration network among the countries of our region but keeping the worldwide approach. Envigado is in the Metropolitan Area of the Aburr? Valley, close to Medell?n, the second-largest city in Colombia, and the capital of the department of Antioquia. Envigado is known for maintaining the traditions of the Paisa Region and for its architecture. It also has one of the highest standards of living in Colombia. Also, Envigado was recognized recently as one of the UNESCO Global Network of Learning Cities (UNESCO GNLC). In keeping with the tradition of the previous edition of this meeting, the IV LAWCN has four main topics: A- Computational Neuroscience B- Neuroscience C- Neuroengineering D- Artificial intelligence and related topics. See the full list of topics at https://www.lawcn.co/event/submissions.html. Prospective authors are invited to contribute to the conference by electronically submitting papers in English, Portuguese, or Spanish, according to the model found on the event website. Best papers that are related to Computer Science will be published as a book volume in Springer-Verlag Communications in Computer and Information Science (CCIS; ISSN 1865-0929) series. Also, authors can submit their papers for the Special Issue "Interdisciplinary Approaches for Human Cognition: Expanding Perspectives on the Mind" to be published in the International Journal in Psychological Research (IJPR; https://revistas.usb.edu.co/index.php/IJPR/index ISSN 2011-7922). Papers will be evaluated based on the quality and significance of the theoretical and practical contributions. The Workshop will consist mainly of the following activities. * A presentation of up to 8 key researchers of international and national renown. * A round table to widely discuss gender diversity in Neuroscience. * Oral presentations of accepted papers by their authors. * Poster session. Conference chairs * Jaime A. Riascos, Institution University of Envigado(IUE), Colombia * Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Organization * Dante Barone Federal University Rio Grande do Sul (UFRGS), Brazil * Vinicius Cota Federal University S?o Jo?o do Rei (UFSJ), Brazil * Marta Molinas NTNU, Norway * Edwin Moncada Institution University of Envigado, Colombia * Jonier Rend?n Institution University of Envigado, Colombia * Efra?n Buritic? Universidad del Valle - COLNE * Pablo Reyes Pontificia Universidad Javeriana - Colne * Hern?n Villota Institution University of Envigado, Colombia * Daniel Betancourt Institution University of Envigado, Colombia * Catalina Alvarado Pontificia Universidad Javeriana * Paula Herrera Universidad Tecnol?gica de Pereira Keynote Speakers * Prof. PhD. Norberto Garc?a Caraisco (USP, Brazil) * Prof. PhD. Salvador Dura-Bernal (SUNY, USA) * Prof. PhD. Jose Luis Contreras-Vidal (NSF IUCRC BRAIN Center, USA) * Prof. PhD. Fabien Lotte (INRIA, Francia) * Prof. PhD. Jose M. Azorin (Universidad Miguel Hern?ndez de Elche, Spain) * Profa. PhD. Marta Molinas (NTNU, Noruega) * Profa. PhD. Catalina Alvarado (Pontificia Universidad Javeriana, Colombia) * Profa. PhD. Paula Herrera (Universidad Tecnol?gica de Pereira, Colombia) Roundtable * Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Important dates. Paper submission deadline: August 1st, 2023 Notification of acceptance (paper): September 30, 2023 Camera-ready (paper): October 31, 2023, Abstract submission deadline: September 1st, 2023 Notification of acceptance (abstract): September 30, 2023 Camera-ready (abstract): October 31, 2023. Workshop: November 28-30, 2023 (IUE, Envigado, Colombia) More Information: www.lawcn.co Best regards and see you in Envigado, Colombia!!! -- Jaime A. Riascos Salas Assistant professor - IUE From jncor at dei.uc.pt Mon Jul 17 17:37:17 2023 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Mon, 17 Jul 2023 22:37:17 +0100 Subject: Connectionists: The first CfP Evostar 2024 - The Leading European Event on Bio-Inspired Computation - 3-5 April 2024 Message-ID: Dear Colleague(s), Below you will find the first call for papers for EvoStar 2024. Feel free to distribute and thank you for your time. Best regards, Jo?o Correia EvoStar Publicity Chair ---------------------------------------------------------------------- Call for papers for the EvoStar 2024 conference http://www.evostar.org/2024/ Submission Deadline: November 1, 2023 Conference: 3 to 5 April 2023. Venue: Aberystwyth, Wales, United Kingdom News: ** EvoApps Special Sessions: EvoApplications invites you to submit a special session proposal for its 27th edition. Deadline: 8 September 2023 AoE. https://www.evostar.org/2024/evoapps/ ** 3rd special joint track on Evolutionary Machine learning This joint track, evoapps + eurogp, on Evolutionary Machine Learning (EML) will provide a specialised forum for discussion and exchange of information for researchers interested in exploring approaches that combine nature and nurture with the long-term goal of evolving Artificial Intelligence (AI) https://www.evostar.org/2024/eml/ 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 27th European Conference on Genetic Programming http://www.evostar.org/2024/eurogp/ - EvoApplications 27th European Conference on the Applications of Evolutionary and bio-inspired Computation http://www.evostar.org/2024/evoapps/ - EvoCOP 24th European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2024/evocop/ - EvoMUSART 13th International Conference (and 17th European event) on Artificial Intelligence in Music, Sound, Art and Design. http://www.evostar.org/2024/evomusart/ *** Important Dates, Venue and Publication *** Submission Deadline: November 1, 2023 Conference: 3 to 5 April 2024. Venue: Aberystwyth, Wales, United Kingdom 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/2024/ 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 azadefarshad at gmail.com Mon Jul 17 10:21:18 2023 From: azadefarshad at gmail.com (Azade Farshad) Date: Mon, 17 Jul 2023 16:21:18 +0200 Subject: Connectionists: [CfP] First ICCV Workshop on Scene Graphs and Graph Representation Learning Message-ID: The SG2RL ICCV 2023 workshop will be a hybrid event on October 2nd, 2023. Authors are invited to submit full-length high-quality papers as well as extended abstracts related to the topic of scene graphs and graph representation learning. Accepted full papers will be included in the ICCV Workshops proceedings. A best paper award and two travel grants are sponsored by Munich Center for Machine Learning (MCML). Submission instructions are available on the SG2RL website: https://sg2rl.github.io/ Deadlines and Important Dates: - Paper submission deadline: *July 25th, 2023* (11:59 PM Anywhere on Earth) - Notification to Authors: August 8th, 2023 - Camera-ready Deadline: August 19th, 2023 Workshop: October 2, 2023 Submitted papers should be within 8 pages (excluding references). Topics include: - Scene graph generation and prediction - Graph representation learning - Image generation and manipulation using scene graphs - Evaluation metrics for scene graphs - Common-sense graphs and knowledge graphs - Applications of graph theory and scene graphs to: computer vision, robotic perception, medical imaging, AR/VR, computer graphics, autonomous driving, etc. If you have questions, feel free to contact: azade.farshad at tum.de ---------------------------------------------------------- Azade Farshad Room number: 03.13.043 Technische Universit?t Mu?nchen School of Computation, Information and Technology Chair for Computer Aided Medical Procedures azade.farshad at tum.de http://campar.in.tum.de/Main/AzadeFarshad -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Tue Jul 18 05:06:24 2023 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 18 Jul 2023 11:06:24 +0200 Subject: Connectionists: =?utf-8?q?=5BCfP=5D_Special_Issue_on_=E2=80=9CIoT?= =?utf-8?q?_Technology_in_Bioengineering_Applications=E2=80=9D?= In-Reply-To: <8effe9f9-490d-21f4-c551-24672cc1e799@ai.univ-paris8.fr> References: <8effe9f9-490d-21f4-c551-24672cc1e799@ai.univ-paris8.fr> Message-ID: Dear colleagues, */Bioengineering/*(ISSN 2306-5354) is an open access journal of MDPI indexed within Scopus, Web of Science, PubMed, and other databases (Impact Factor 5.046). This journal is currently running a Special Issue on *?*IoT Technology in Bioengineering Applications*?*. You are invited to publish an original research article or review paper in this Special Issue. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. This Special Issue presents novel solutions to challenging real-world problems using IoT devices applied in bioengineering. IoT technology is used in therapies, implants, diagnostics, adaptive prosthetics, etc., where data are recorded and processed in the cloud for Internet-based uses. This method is developed for remote monitoring to improve people's lives. The "IoT Technology Applied in Bioengineering" issue publishes research using quantitative tools, including simulation and mathematical modeling. The Special Issue focuses on exciting applications of bioengineering science in health and medicine. Please click here for further information: https://www.mdpi.com/journal/bioengineering/special_issues/B0SI0294V9 We hope you find this topic to be of interest. The submission deadline is *December 31, 2023,*and manuscripts may be submitted at any point until the deadline**as papers will be published continuously. Kind regards, Prof. Larbi Boubchir -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksharma.raj at gmail.com Tue Jul 18 09:00:15 2023 From: ksharma.raj at gmail.com (Raj Sharma) Date: Tue, 18 Jul 2023 18:30:15 +0530 Subject: Connectionists: Deadline extended: AI-ML Systems 2023 (Final call for papers) Message-ID: -------------------------------------------------------------------------------------- AI-ML Systems 2023 3rd International Conference on AI-ML Systems October 25-28, 2023 | The Chancery Pavilion, Bengaluru, India https://www.aimlsystems.org --------------------------------------------------------------------------------------- We are pleased to announce the 3rd International Conference AI-ML Systems 2023 to be physically held in Bengaluru from 25th to 28th October 2023. AI-ML Systems has been established as one of the looked-after research conferences in the areas of Systems enabling AI/ ML developments, AI/ ML for various system development, and new frontiers in AI / ML algorithms and applications. *CALL FOR PAPERS*We invite you to submit your unpublished research on the intersection of AI/ML techniques and systems engineering to AIm-ML System 2023. Any research work exploring how AI/ ML techniques benefit from computational systems research and how they can aid in the design of computational and socio-economic systems is a good candidate for submission. Put up your submission in one of the following tracks: 1. Research Papers Track 2. Industry Track 3. Demos and Exhibit Track *SUBMISSION LINK* https://cmt3.research.microsoft.com/AIMLSystems2023 *TOPICS OF INTEREST* - *Systems for AI/ML:* CPU/GPU architectures, specialized/ embedded hardware, data-intensive systems, production deployment challenges, programming models/ languages/ abstractions, compilers/runtime, efficient data preparation/ processing/visualization, testing/ debugging/ monitoring, cloud computing, "as-a-service" options, tiny machine learning, embedded/edge AI, distributed/parallel learning algorithms, and MLOps. - *AI/ML for Systems: *AI/ML for VLSI and architecture design; AI/ML in compiler optimization; AI/ML in data management - including database optimizations, virtualization, etc.; AI/ML for networks - design of networks, load modeling, etc.; AI/ML for power management - green computing, power models, etc.; AI/ML for Cloud Computing; AI/ML for IOT - *AI ML Algorithms and Applications for socio-economic design: *Deep Learning Architecture and applications, Computer Vision and Image processing, Natural language processing and understanding, Speech signal processing and Socio-Economic Systems, Fairness and biases of models, Explainability, transparency, and interpretability of AI systems Privacy, security, and ethics in AI. AI/ML for cyber-physical systems; Fairness, interpretability, and explainability for ML applications; Privacy and security in AI/ML systems; Sustainability in AI/ML systems; Applications of AI/ML in financial systems. *IMPORTANT DATES* *Research Paper Track* (https://www.aimlsystems.org/2023/callresearch/) - Paper submissions due date: July 12, 2023, July 26, 2023, 11:59 pm AoE (Date extended) - Author notifications: August 30, 2023 - Camera-ready deadline: September 20, 2023 *Industry Track *(https://www.aimlsystems.org/2023/callindustry/) - Paper submissions due date: July 12, 2023, July 26, 2023, 11:59 pm AoE. (Date extended) - Author notifications: August 30, 2023 - Camera-ready deadline: September 20, 2023 *Demo and Exhibits Track *(https://www.aimlsystems.org/2023/demos/ ): - Submission deadline: 30th July 2023, AoE - Notification of Acceptance: 8th September 2023, AoE - Final Submission: 30th September 2023, AoE *INSTRUCTIONS TO AUTHORS* Research papers must not exceed 8 pages, excluding appendix, acknowledgments, and bibliography. Only electronic submissions in PDF format using the ACM sigconf template will be considered. (see https://www.acm.org/publications/proceedings-template ) Papers can be submitted under any of the three main topics listed above. Authors are required to make a primary topic selection, with optional secondary topics for each paper. There is no cap on the number of papers accepted under each topic. We will accept all papers that meet the high quality and innovation levels required by the AIMLSystems conference. All papers that are accepted will appear in the proceedings. All accepted papers will be presented as posters at AIMLSystems 2023, but a select subset of them will be given a ?conventional? (oral) presentation slot during the conference. However, all accepted papers will be treated equally in the conference proceedings, which are the persistent, archival record of the conference. *ORGANISING COMMITTEE* General Co-Chairs - Jitendra Malik, University of California, Berkeley, USA - Kavita Bala, Cornell University, USA - Ramachandran Ramjee, Microsoft Research, India Technical Program Committee Co-Chairs - R. Venkatesh Babu, IISc, Bangalore, India - Dileep Kalathil, Texas A&M University, USA - Deepti Ghadiyaram, Runway, USA Industry Track Co-Chairs - Atul Batra, Startup/Product Advisor, India - Milind Gandhe, Machine Intelligence and Robotics CoE (MINRO), IIIT Bangalore, India - Rahul Ghosh, Walmart Global Tech, India - Veena Mendiratta, Northwestern University, USA Demos and Exhibits Co-Chairs - Anupam Purwar, Amazon, India - Swaroop Hangal, NewSpace Research and Technologies, India - Tridib Mukherjee, Games24x7, India Panel Co-Chairs - Subrato De, Qualcomm, USA - Supratik Mukhopadhyay, Louisiana State University, USA - Debdoot Mukherjee, Meesho, India Publication Chair - Anirban Chakraborty, IISc, Bangalore, India Web Co-Chairs - Siddharth D Jaiswal, IIT Kharagpur, India - Vivek Yadav, IIIT Bangalore, India Publicity Co-Chairs - Arnab Bhattacharya, IIT Kanpur, India - Alessandro Falcetta, Politecnico di Milano, Italy - Rekha Singhal, TCS, USA - Shantanu Pal, Deakin University, Australia - Sumant Kulkarni, Kloud9, India Sponsorship Co-Chairs - Giridhar Mandyam, Qualcomm, USA - Rajeev Shorey, IIT Delhi, India Steering Committee - Uday Desai, IIT Hyderabad, India Anurag Kumar, IISc, India - Giridhar Mandyam, Qualcomm, USA Huzur Saran, IIT Delhi, India - Rajeev Shorey, IIT Delhi, India - G. Venkatesh, SASKEN, India -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Wed Jul 19 04:16:28 2023 From: benoit.frenay at unamur.be (=?iso-8859-1?Q?Beno=EEt_Frenay?=) Date: Wed, 19 Jul 2023 08:16:28 +0000 Subject: Connectionists: C2W postdoc - deep learning & comparative politics In-Reply-To: References: Message-ID: Dear colleagues, We are seeking a motivated postdoctoral researcher to work on an interdisciplinary project at the intersection of deep learning and comparative politics. The candidate will work in the Human-Centered Machine Learning (HuMaLearn - https://humalearn.info.unamur.be/) team of Prof. Beno?t Fr?nay and the Belgian and Comparative Politics team of Prof. J?r?my Dodeigne (https://jeremydodeigne.com/). The exciting goal will be to develop new deep learning methodologies to analyse large corpuses of archive videos that picture political debates. We specifically aim to detect emotions, body language, movements, attitudes, etc. This project is linked to the ERC POLSTYLE project that J?r?my Dodeigne recently obtained, guaranteeing a stimulating research environment. The HuMaLearn team gathers about ten researchers, many of them being actively working in deep learning, but not only and with a keen openness to interdisciplinarity. The postdoctoral fellowship will be funded by the Connect with Wallonia (C2W) program, a Marie Curie action of the European Union. With the help of the project supervisors, the candidate will apply for a fellowship of 24 months with highly competitive salary and research/training funds. "Connect with Wallonia - Come 2 Wallonia" (C2W - https://cometowallonia.eu/c2w) is an individual-driven research training and career development program for Experienced Researchers (ERs), based on incoming mobility. C2W aims to provide ERs with the expertise and experience needed to become the next generation of leaders with strong expertise and interdisciplinary skills. Eligible applicants are experienced researchers (i) in possession of a doctoral degree at the call deadline, or (ii) have at least four years of full-time equivalent research experience. Eligible applicants cannot have resided or carried out his/her main activity (work, studies, etc.) in Belgium for more than 12 months in the three years before the deadline of the call. Applicants must be fluent in English. The two promotors will provide support for their application. Interested candidates can send an e-mail to Beno?t Frenay benoit.frenay at unamur.be and J?r?my Dodeignejeremy.dodeigne at unamur.be with * a motivation letter explaining their adequacy with the proposed research topic; * a recent CV with a publication list and a link to an online profile (ORCID, Scholar or equivalent); * their PhD thesis and up to five representative publications. PhD student who have not yet defended their thesis and who will do so in the next coming months are welcome to apply (in which case, sending us a PhD thesis is not mandatory). Applications will be processed as they come, with a deadline on the 7th of August. Best regards, J?r?my Dodeigne Beno?t Fr?nay -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabian.braesemann at oii.ox.ac.uk Wed Jul 19 04:23:29 2023 From: fabian.braesemann at oii.ox.ac.uk (Fabian Braesemann) Date: Wed, 19 Jul 2023 08:23:29 +0000 Subject: Connectionists: CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023 Message-ID: 12 th International Conference on Complex Networks & Their Applications Menton Riviera, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 You are cordially invited to submit your contribution until September 02, 2023. SPEAKERS ? Michael Bronstein University of Oxford UK ? Kathleen Carley Carnegie Mellon University USA ? Manlio De Domenico University of Padua Italy ? Danai Koutra University of Michigan USA ? Romualdo Pastor-Satorras Univ. Polit?cnica de Catalunya Spain ? Tao Zhou USTC China TUTORIALS ? Tiago de Paula Peixoto CEU Vienna Austria ? Maria Liakata Queen Mary University of London UK PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? Papers will be included in the conference proceedings edited by Springer ? Extended abstracts will be published in the Book of Abstracts (with ISBN) Extended versions will be invited for publication in special issues of international journals: o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer SUBMISSION https://complexnetworks.org/submission/ TOPICS Topics include, but are not limited to: * Models of Complex Networks * Structural Network Properties and Analysis * Epidemics * Community Structure * Motifs * Network Mining * Network embedding * Machine learning with graphs * Dynamics and Evolution Patterns of Complex Networks * Link Prediction * Multilayer Networks * Controllability * Synchronization * Visual Representation * Large-scale Graph Analytics * Social Reputation, Influence, and Trust * Information Spreading in Social Media * Rumour and Viral Marketing in Social Networks * Recommendation Systems * Financial and Economic Networks * Mobility * Biological and Technological Networks * Mobile call Networks * Bioinformatics * Earth Sciences Applications * Resilience and Robustness of Complex Networks * Networks for Physical Infrastructures * Networks, Smart Cities and Smart Grids * Political networks * Supply chain networks * Complex networks and information systems * Complex networks and CPS/IoT * Graph signal processing * Cognitive Network Science * Network Medicine * Network Neuroscience * Quantifying success through network analysis * Temporal and spatial networks * Historical Networks * Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute University of Oxford Publicity Co-Chair 12th International Conference on Complex Networks & Their Applications 28 - 30 November, 2023, French Riviera, France fabian.braesemann at oii.ox.ac.uk +44 7731 700 704 Google Scholar | LinkedIn Oxford Internet Institute University of Oxford 1 St Giles Oxford, OX1 3JS -------------- next part -------------- An HTML attachment was scrubbed... URL: From laetitia.teodorescu at inria.fr Wed Jul 19 11:00:43 2023 From: laetitia.teodorescu at inria.fr (Laetitia Teodorescu) Date: Wed, 19 Jul 2023 17:00:43 +0200 (CEST) Subject: Connectionists: [NeurIPS2023] Call for papers: Intrinsically Motivated Open-ended Learning workshop (IMOL@NeurIPS) Message-ID: <2039443349.25027609.1689778843645.JavaMail.zimbra@inria.fr> Hello! We?re glad to announce the Intrinsically Motivated Open-ended Learning workshop at NeurIPS 2023 and are now accepting submissions! Important dates : * Submission deadline: September 25 2023 * Acceptance Notification: October 27 2023 * Workshop date: December 15 or 16 2023 (TBD), in-person @NeurIPS 2023, New Orleans, LA, USA Website: [ https://larel-workshop.github.io/ | ] [ https://imol-workshop.github.io/ | https://imol-workshop.github.io/ ] Workshop Description: The field of IMOL aims at the unified study of the motivational forces, learning architectures, and developmental and environmental constraints that support the development of open-ended repertoires of skills and knowledge over learners' lifetimes. At this full-day in-person NeurIPS workshop, we will gather speakers from a wide diversity of scientific traditions, showcase on-going research via contributed talks and poster sessions, and provide networking opportunities for research and mentorship discussions (see website for detailed program). Submission Formats We welcome 4-page submissions of technical, benchmark and opinion papers on any topics related to the Intrinsically Motivated Open-ended Learning themes across disciplines (machine learning, cognitive sciences, philosophy, psychology, and more). Examples of topics include: * Intrinsic motivation in machines and animals, * Autonomous open-ended learning, * Autonomous goal generation, * Self-supervised representation learning, * Hierarchical and goal-directed RL, * Curriculum learning, * Interplay between intrinsic and extrinsic motivations, * Skill compositionality and chunking, * Knowledge transfer, * Avoiding catastrophic forgetting, * Learning neural/probabilistic abstract representations of state, actions and skills, * Open-ended development in children, * Role of metacognitive representations and processes in open-ended learning, * Playful exploration, * Language and sociality in open-ended learning, * Mitigation of risks of open-ended learning, * Philosophical and ethical implications of IMOL. Submission instructions: Submissions must be made via [ https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/IMOL | OpenReview ] . They must be anonymized, up to 4 pages long (excluding references and appendices) and use the [ https://neurips.cc/Conferences/2023/PaperInformation/StyleFiles | NeurIPS 2023 LaTeX template ] . Appendices can be added to the main PDF. Each paper will receive two reviews; both authors and reviewers will be anonymous throughout the process. The papers should report original research, provide synthesis of previous works or develop novel environments. Short opinion and review papers are welcomed. Authors can upload concise versions of parallel submissions to other conferences such as NeurIPS main conference or ICLR. We accept dual submission but discourage submitting to multiple NeurIPS workshops. All accepted papers will be available on the workshop website, but no formal workshop proceedings will be published. For any questions, email us at [ mailto:imol.workshop at gmail.com | imol.workshop at gmail.com ] or reach us on Twitter at [ https://twitter.com/IMOLNeurIPS2023 | https://twitter.com/IMOLNeurIPS2023 ] ! Cheers, The IMOL at NeurIPS 2023 Organizing Committee [ https://imol-workshop.github.io/ | https://imol-workshop.github.io/ ] -------------- next part -------------- An HTML attachment was scrubbed... URL: From Samuel.Neymotin at nki.rfmh.org Wed Jul 19 14:45:50 2023 From: Samuel.Neymotin at nki.rfmh.org (Neymotin, Samuel (NKI)) Date: Wed, 19 Jul 2023 18:45:50 +0000 Subject: Connectionists: Computational Neuroscience Postdoc Positions Message-ID: Postdoctoral scientist positions are available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org) to work on computational neuroscience research funded by recently awarded NIH and DoD grants. Our NIH-funded projects investigate the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected areas, using circuit modeling of the thalamocortical system. In this project, the postdoc will build data-driven biophysical models constrained by data collected from electrophysiology labs at NKI and Columbia (Noelle O?Connell, Charlie Schroeder, Dan Javitt) & The Feinstein Institutes for Medical Research (Stephan Bickel), and then use the models to predict optimal neuromodulation strategies for inducing/suppressing circuit patterns, testable in vivo. Related projects include investigating the origin of electrophysiology patterns observed in the auditory system of animal models of schizophrenia (biomarkers including mismatch negativity and altered oscillatory patterns), and using modeling to predict their circuit-level origins and potential treatments. Recent related publications (https://www.biorxiv.org/content/10.1101/2022.02.03.479036v2.abstract , https://www.eneuro.org/content/9/4/ENEURO.0281-21.2022.abstract , https://www.sciencedirect.com/science/article/pii/S0006322319318517). Our DoD project involves developing computational models of the hippocampal and entorhinal cortex circuitry used in spatial navigation, higher level decision making circuits, and integrating the models with agents learning to solve navigation tasks using neurobiologically-inspired learning rules. This project includes mathematicians and robotics researchers at UTK and CMU. Recent related publications (https://www.frontiersin.org/articles/10.3389/fncom.2022.1017284/full , https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0265808). Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. To apply, email a CV and cover letter to Sam Neymotin (samnemo at gmail.com). The position requires presence at NKI (New York), with part telecommuting. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From lmanzoni at units.it Wed Jul 19 14:16:24 2023 From: lmanzoni at units.it (MANZONI LUCA) Date: Wed, 19 Jul 2023 18:16:24 +0000 Subject: Connectionists: [1st CFP] EuroGP 24 - the 27th European Conference on Genetic Programming Message-ID: <39B31D30-3D4F-4AA6-A4E0-222309237560@units.it> *** Apologies for cross-posting *** ********************************************************************************* First Call for Papers: EuroGP 24 - the 27th European Conference on Genetic Programming https://www.evostar.org/2024/eurogp/ 3-5 April 2023, Aberystwyth, Wales, UK held as part of EvoStar (http://www.evostar.org) ** EuroGP is CORE Rank B ** Submission deadline: November 1, 2023 ********************************************************************************* EuroGP is the premier annual conference on Genetic Programming (GP), the oldest and the only meeting worldwide explicitly devoted to this branch of evolutionary computation. It is always a high-quality, enjoyable, friendly event, attracting participants from all continents, and offering excellent opportunities for networking, informal contact, and exchange of ideas with fellow researchers. It will feature a mixture of oral presentations and poster sessions and invited keynote speakers. **** EvoStar **** EvoStar is a leading international event devoted to evolutionary computing, comprising four conferences: EuroGP, EvoApplications, EvoCOP, and EvoMUSART. **** Topics **** Topics to be covered include, but are not limited to: Algorithms, representations, and operators for GP Innovative applications of GP Tree-based, linear, graph-based, and grammar-based GP Theoretical developments GP performance, behavior, and benchmarking Multiple populations, coevolution, and modularity in GP Multi-objective GP Explainability and interpretability in GP Genetic improvement programming GP for software engineering GP for continuous control and evolutionary robotics Evolutionary design Evolvable hardware Parallel GP Unconventional GP Hybridization of GP with other methods **** Submission Details **** Paper submissions must be original and not published elsewhere. The submissions will be peer-reviewed by members of the program committee. The reviewing process will be double-blind, please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Page limit: 14 pages plus references Submission link: https://easychair.org/conferences/?conf=evo2024 The authors of accepted papers will have to improve their paper on the basis of the reviewers? comments and will be asked to send a camera ready version of their manuscripts The authors of accepted papers will have to improve their papers on the basis of the reviewers? comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference and present the work. The highest quality papers may also be invited to submit extensions for publication in a special issue of a prestigious international journal. **** Organization **** Program Chairs: Mario Giacobini, University of Torino, Italy Bing Xue, Victoria University of Wellington, New Zealand Publication Chair: Luca Manzoni, University of Trieste, Italy For further information please visit https://www.evostar.org/2024/eurogp/ Bing Xue and Mario Giacobini EuroGP PC Chairs From massimo.srt at gmail.com Wed Jul 19 11:20:25 2023 From: massimo.srt at gmail.com (Massimo Sartori) Date: Wed, 19 Jul 2023 17:20:25 +0200 Subject: Connectionists: [jobs] Assistant Professor in AI and Sensing for the Neuromuscular System, University of Twente Message-ID: The Department of Biomechanical Engineering at the University of Twente (The Netherlands) has an opening for an Assistant Professor to contribute to outstanding research and education activities in the broad area of Smart Sensing Technologies for the Human Neuromuscular System. We seek exceptional candidates with proven expertise in combining wearable sensors with AI-data analytics. We seek candidates with expertise either at the software or hardware development levels. We look for applications combining AI and sensing to measure signals such as those related to the neural control of skeletal muscles, skeletal muscle mechanics, skeletal joint bending, etc., where such information is crucial and widely applied in scenarios such as personalized healthcare technologies, or musculoskeletal injury prevention, or assistive robotics, or human?robot interactions, or for the deeper understanding of human movement or neuro-rehabilitation processes. We?re looking for candidates with proven capacity to teach at BSc and MSc levels. Please, apply via the link below by end of September, 2023: https://utwentecareers.nl/en/vacancies/1319/assistant-professor-in-artificial-intelligence-and-sensing-technologies-for-the-neuromuscular-system/ For questions, please contact me. Regards, --- Massimo Sartori Professor and Chair, Neuromechanical Engineering PI, Neuromechanical Modeling and Engineering Lab University of Twente, TechMed Centre, Robotics Centre Faculty of Engineering Technology Department of Biomechanical Engineering 7500 AE, The Netherlands Personal: https://people.utwente.nl/m.sartori Lab: https://bit.ly/NMLab YouTube: https://bit.ly/NMLTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at as-mediendesign.com Fri Jul 21 03:49:40 2023 From: info at as-mediendesign.com (Team as mediendesign) Date: Fri, 21 Jul 2023 09:49:40 +0200 Subject: Connectionists: TU Braunschweig offers a W3 Full Professorship for Artificial Intelligence in interactive Systems Message-ID: <05FA2DAB-DB84-4E50-9635-54818478DD7B@as-mediendesign.com> With nearly 17,000 students and 3,800 staff members, Technische Universit?t Braunschweig is the largest Institute of Technology in Northern Germany. It stands for a strategic and achievement-oriented way of thinking and acting, relevant research, exceptional teaching and the successful transfer of knowledge and technologies to industry and society. We consistently advocate family friendliness and equal opportunities. We focus our research on mobility, engineering for health, metrology, and future city. Our core disciplines include a comprehensive engineering branch and a strong natural sciences branch, closely linked with business sciences, social sciences, humanities and educational sciences. Our campus is located at the heart of one of Europe?s most active research regions. We cooperate closely and successfully with more than 20 research institutions right on our doorstep and maintain strong relationships with our partner universities all over the world. Carl-Friedrich-Gau?-Fakult?t Department of Computer Science We offer a W3 Full Professorship for Artificial Intelligence in interactive Systems to be filled at the earliest possible date. We are looking for an internationally recognized personality in the field of Artificial Intelligence/?Machine Learning with experience in building up and leading a research group as well as in raising third-party funds. The newly established professorship will expand the research area of data-driven methods for interactive and intelligent systems at the TU Braunschweig and strengthen the focal points "Data Science" and "Reliability" of the Department of Computer Science. The position holder has a strong background in Computer Science with a focus on Artificial Intelligence/?Machine Learning, specifically in the areas of Dependable AI and Explainable AI. Applicants should possess a method-oriented research focus on machine learning and have made internationally recognized contributions to at least one of the current research areas such as neural networks, generative and adversarial models, online and transfer learning, federated learning, (deep) reinforcement learning, probabilistic inference, graphical models, and/or MDP/?POMDP. A researcher is sought who is able to combine the theoretical-methodological investigation and development of learning methods with applications in interactive intelligent systems, for example in autonomous robots, intelligent virtual agents, or intelligent networked production systems. Suitable applicants are expected to show an active interest in the concrete implementation of cognitive abilities in technical systems, ensuring compatibility with partners in engineering and natural sciences. With his/her research performance, the position holder will enhance the international visibility of TU Braunschweig in the field of Artificial Intelligence. In teaching, topic-related courses in the areas of Artificial Intelligence and Machine Learning shall complement the Bachelor's and Master's degree programs of the Department of Computer Science. In particular, the topic of Machine Learning/?Artificial Intelligence is to be anchored in undergraduate teaching with a new compulsory Bachelor course. Participation in the academic self-administration of the university is expected as well as the willingness to actively shape computer science at the TU Braunschweig. Our expectations ? Internationally recognized research personality in the field of artificial intelligence/machine learning ? Profound knowledge of computer science ? Successful acquisition of third-party funding ? Experience in establishing and leading an own research group ? Teamwork, management and leadership skills ? Commitment to Bachelor's and Master's degree programs in Computer Science, Data Science, Information Systems Engineering, and Information Systems, particularly with regard to undergraduate education in the field of machine learning ? Very good command of the English language and willingness to teach courses in English ? Willingness to engage in interdisciplinary collaborations ? Commitment to increasing the internationalization and international visibility of the TU Braunschweig. ? Willingness to participate in the self-governance of the university Requirements, ? 25 NHG ? Completed university studies ? Pedagogical suitability, proof of this is to be provided by a teaching sample ? Special qualification for deepended independent scientific work, which is usually demonstrated by an above-average doctorate ? Additional academic achievements, usually within the framework of a junior professorship, a post-doctoral lecture qualification (Habilitation) or achievements equivalent to a habilitation. Notes At TU Braunschweig, we aim to increase the share of women in academic positions and therefore particularly welcome applications from women. Where candidates have equivalent qualifications, preference will be given to female candidates. Applications from international scientists are welcome. Where candidates have the same qualifications, preference will be given to disabled candidates. It is a permanent full-time position. A part-time appointment may be possible on request. Applicants who are 50 years or older at the time the appointment commences and who have not acquired permanent civil servant status (Beamtenverh?ltnis auf Lebenszeit) will be employed with employee status (Angestelltenverh?ltnis). Deadline for application The application deadline is 2023-08-31. Contact For more information, please contact the chair of the Appointments Committee Prof. Dr.-Ing. Marcus Magnor Tel. +49 531 391-2101 m.magnor[at]tu-braunschweig. de We are looking forward to your application! The application should contain the usual documents. Please address your application to Prof. Dr. Dirk Konietzka, Dean of the Carl-Friedrich-Gau?-Fakult?t, TU Braunschweig, and apply via online portal of TU Braunschweig. Apply-Link: http ://bitly.ws/K55z From antona at alleninstitute.org Sun Jul 23 21:41:16 2023 From: antona at alleninstitute.org (Anton Arkhipov) Date: Mon, 24 Jul 2023 01:41:16 +0000 Subject: Connectionists: Apply to the Allen Institute's OpenScope program Message-ID: Dear Colleagues, Applications are now accepted for the Allen Institute's OpenScope program. Please apply! The OpenScope program, supported by the NIH BRAIN grant U24NS113646, provides the neuroscience community access to the Allen Brain Observatories. The program was inspired by astronomical observatories, which allow a community of scientists to access platforms too large or expensive for most laboratories. Through OpenScope, anyone can propose experiments for Allen Institute staff to run on Allen Institute pipelines. If selected, the proposed experiments are performed with the Allen Institute's verified, reproducible, and open protocols for cutting-edge behavioral training, in vivo Neuropixels electrophysiology, or two-photon calcium imaging. Data produced from the experiments is then shared with applicants, and, eventually, the broader community. How to apply? The program uses a double-blinded proposal review. Individuals or teams draft and submit a proposal, with an applicant commitment to perform data analysis and pursue publication. * RFP released July 10, 2023 * 2pg Letter of Intent Due: September 12th 2023 * 6pg Full Proposal Due: November 7th 2023 * For more details: https://alleninstitute.org/division/mindscope/openscope/ * If any questions or to discuss projects, please reach out to openscope at alleninstitute.org New for 2023: Community Proposal Research Questions and Experimental Methods are proposed and voted on by the community in an open, collaborative process. The resulting data is immediately available to the community for anyone to analyze and publish. * Posted on Allen Brain Map Community Forum: https://community.brain-map.org/ * Opportunity announced in June 2023 * Research Question Phase: June-July 2023 * Methods & Analysis Phase: July-September 2023 * Final Vote by the community in November 2023 during SFN Best wishes, Anton. Anton Arkhipov Investigator Allen Institute, Seattle, WA -------------- next part -------------- An HTML attachment was scrubbed... URL: From bei.xiao at gmail.com Sun Jul 23 14:20:55 2023 From: bei.xiao at gmail.com (bei.xiao at gmail.com) Date: Sun, 23 Jul 2023 14:20:55 -0400 Subject: Connectionists: Research Assistant position in Vision Science at American University, DC Message-ID: Full-time Research Assistant position in Xiao Lab at American University, Washington DC. Position Overview The Xiao Computational Perception Lab in the Department of Computer Science at American University seeks a full-time Research Assistant/ Lab Technician for an NIH-funded project on common mechanisms and individual variability of human material perception. The main goal is to build computational models to predict and explain human material perception in immersive and natural environments. We use a combination of human psychophysics, deep learning, VR/AR, and SOTA generative AI techniques to create immersive environments and measure human material perception with various tasks. Job Description The RA will support research activities in the lab and will work in a collaborative environment but is also encouraged to pursue research projects of his/her own. Possible duties include: - Recruiting human subjects - Python coding for experiment interface and behavioral data analysis - Collecting data for psychophysical and EEG experiments - Building VR/AR experimental interfaces with Unity3D - Implementing machine learning models This is an ideal position for someone interested in gaining research experience in perception science and computational modeling before applying to graduate school or an industrial research position. The position comes with a salary and full benefits. Full-time staff at AU can take undergraduate-level CS courses for tuition remission. This position is initially for a one-year contract and can be extended to two years. Starting date is September 1st, 2023, or soon after. Please email me if you have any questions. Position Requirements: - The ideal candidate should have a Bachelor's or Master?s degree in quantitative psychology, neuroscience, cognitive science, computer science, engineering, or a related field. - The candidate should have a strong interest in human behavior and fundamental research. - The candidate should have strong programming skills in Python and is familiar with Numpy, Pandas, and other numerical libraries. Experience with statistical methods (linear models, multivariate analysis, etc.). - Experience with human psychophysics would be useful. The Lab and Facility Xiao Lab studies both human and computer vision with an emphasis on material perception and recognition. The lab currently has a few ongoing research projects: - Learning latent representation of human perception of material properties - Material and object perception in infants and children with behavioral and EEG methods (collaborating with Dr.Laurie Bayet ). - Volumetric Capture Studio - Uncertainty estimation in few-shot learning in text classification - Prediction of clinical trial outcomes with human experts and machine learning models. The Xiao Lab is located in a state-of-the-art technology building, which is home to computer science, physics, applied math, and a design and build lab. The lab has high-performing GPU workstations, haptic phantom devices, VR headsets, and 3D printers. Washington, DC, is the US capital and has a vibrant scene of computational cognition and computer vision research (e.g., NIH, NIST, Johns Hopkins University, George Washington University, and the University of Maryland). How to apply Please submit your application, including a CV, and a cover letter describing your background, experience, and motivation - preferably in PDF format, and the names of two references that have agreed to be contacted. Please apply no later than August 15th, 2023, to Prof. Bei Xiao at bxiao at american.edu. Representative Recent Publications? 1. Liao, C, Sawayama, M, Xiao, B. (2023) Unsupervised learning reveals interpretable latent representations for translucency perception. PLOS Computational Biology. Feb 8, 2023. PDF. 2. Zhang, X, Lei, S, Alhamadni, A, Chen, F, Xiao, B, and Lu, CT. (2023) CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. ACM SIGKDD 2023. PDF upon request. 2. Liao, C, Sawayama, M, Xiao, B. (2022) Crystal or Jelly? Effect of Color on the Perception of Translucent Materials with Photographs of Real-world Objects. Journal of Vision. PDF . 3. He, J. Zhang, X., Shuo L. Wang, S, Huang, Q., Lu, C-T, Xiao, B. (2022) Semantic Editing On Segmentation Map Via Multi-Expansion Loss. Neurocomputing. 501,306-317. PDF. -- Bei Xiao, PhD Associate Professor Computer Science & Center for Behavioral Neuroscience American University, Washington DC Homepage: https://sites.google.com/site/beixiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From almayalanis at gmail.com Sun Jul 23 17:42:13 2023 From: almayalanis at gmail.com (Alma Y. Alanis) Date: Sun, 23 Jul 2023 15:42:13 -0600 Subject: Connectionists: CFP: Track on Artificial Intelligence in Biomedicine Message-ID: ---------------- Please distribute (Apologies for cross posting) ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- CALL FOR PAPERS Track on Artificial Intelligence in Biomedicine at: FIRST IEEE ENGINEERING IN MEDICINE AND BIOLOGY CONFERENCE IN LATIN AMERICA 2023 We invite researchers, professionals, academics, and companies to participate in the 1 IEEE EMBS R9 Conference. The 1st IEEE EMBS R9 Conference invites researchers, professionals, academics, and companies to participate in an event focused on shaping the future of biomedicine and improving lives in Latin America and beyond. >From October 5th, Thursday to October 7th, Saturday, 2023 in Guadalajara, Mexico Website link: https://www.embc-r9.org/ TRACKS ? AI in Biomedicine ? Biosignal Processing ? Biomedical Innovation ? Clinical Engineering ? Biomechanics, Biomaterials, and Rehabilitation ? Bioimaging Processing and Medical Imaging ? Education, Ethics, and Professional Issues ? Omics, Systems Biology and Bioengineering Contact: Ph.D. Alejandro Morales embcr9 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastian.otte at uni-tuebingen.de Sun Jul 23 19:32:58 2023 From: sebastian.otte at uni-tuebingen.de (Sebastian Otte) Date: Mon, 24 Jul 2023 01:32:58 +0200 Subject: Connectionists: ICANN 2023 - Call for Participation Message-ID: 32nd International Conference on Artificial Neural Networks ICANN 2023 https://e-nns.org/icann2023 !!! EARLY BIRD REGISTRATION ENDS ON JULY 25 !!! Conference Dates: 26th to 29th of September 2023 ======================================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2023 the School of Engineering of Democritus University of Thrace, Greece, will organize ICANN 2023. This will be held at Astoria Capsis Hotel at Heraklion city, Crete, Greece from 26th to 29th of September 2023. The conference will be organized as a HYBRID event. CONFERENCE TOPICS ICANN 2023 is a conference featuring tracks in Brain Inspired Computing, Machine Learning, and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI Brain Inspired Computing: Cognitive Models, Computational Neuroscience, Self-Organization, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action, Spiking Neural Networks Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neuromorphic Computing and Edge AI, Evolutionary Neural Networks SPECIAL SESSIONS ICANN 2023 will host three special sessions: - Neurorobotics (track NRR 2023) - Recent Advances in Spiking Neural Networks (track ARNN 2023) - The challenge of errors, stability, robustness, and accuracy in deep neural networks (track ESRA in DNN 2023) BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details are provided on the conference website. ORGANIZATION General Chairs Iliadis Lazaros, Democritus University of Thrace, Greece Plamen Angelov, Lancaster University, UK Program Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Elias Pimenidis, UWE Bristol, UK Chrisina Jayne, Teesside University, UK Honorary Chairs Stefan Wermter, University of Hamburg, Germany Vera Kurkova, Czech Academy of Sciences, Czech Republic Nikola Kasabov, Auckland University of Technology, New Zealand Organizing Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece George Magoulas, University of London, Birkbeck College, UK Haralambos Mouratidis, University of Essex, UK Award Chairs Stefan Wermter, University of Hamburg, Germany Chukiong Loo, University of Malaysia, Malaysia Communication Chairs Sebastian Otte, University of T?bingen, Germany Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece From Donald.Adjeroh at mail.wvu.edu Sat Jul 22 13:27:23 2023 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sat, 22 Jul 2023 17:27:23 +0000 Subject: Connectionists: 2 days to go -- 2023 Workshop on AI & Data Science in Smart Health, & NRT Mini-workshop series (July 24-25, 2023) In-Reply-To: References: , , , , , , , , , , , , , , Message-ID: Workshop starts in two days -- July 24 !! We apologize if you receive multiple copies. As part of the NSF Track-2 project on "Multi-Scale Integrative Approach to Digital Health: Collaborative Research and Education in Smart Health in West Virginia and Arkansas" (http://community.wvu.edu/~daadjeroh/projects/cresh/ ) and the NSF BridgesDH NRT on "Bridges in Digital Health" (https://community.wvu.edu/~daadjeroh/projects/bridges/ ) we would like to announce the 2023 Summer Workshop School on AI & Data Science in Smart Health, and related NRT mini-workshop series. The workshop and mini-workshop series will be from July 24 - 26, 2023. This will be held both in-person at the Advanced Engineering Research Building, West Virginia University, Morgantown, WV 26505, USA, and also remotely via zoom. The activities are free, with no registration fee. However, prior registration is required to have an accurate head count for in-person participants, and to provide access to the presentations to remote participants. We have limited travel support available for participants from West Virginia and Arkansas. Please visit the website: https://community.wvu.edu/~daadjeroh/projects/cresh/activity/summersch2023/ for more information on the workshop and mini-workshop series, and to register. Please help us to forward this to students, faculty, colleagues, and others that may be interested. Regards, Don Adjeroh, PhD Professor and Associate Chair Graduate Coordinator of Computer Science West Virginia University Morgantown, WV 26506 http://community.wvu.edu/~daadjeroh/ Tel: 304-293-9681 Fax: 304-293-8602 -------------- next part -------------- An HTML attachment was scrubbed... URL: From timo.oess at bcf.uni-freiburg.de Mon Jul 24 07:29:27 2023 From: timo.oess at bcf.uni-freiburg.de (Timo Oess) Date: Mon, 24 Jul 2023 13:29:27 +0200 Subject: Connectionists: FRoBio: Freiburg Robotics and Biology Conference Call for Abstract Submission Message-ID: Dear all, We are pleased to announce the FRoBio: Freiburg Robotics and Biology Conference - Bringing together nature and technology. The conference will take place on 22nd of November until 24th of November 2023 at the University of Freiburg, Germany. The event brings together international experts of different disciplines, such as biology, chemistry, medicine, materials science, nanotechnology, electrical engineering, mechanical engineering, optics, and robotics to share so far untackled research questions or current challenges, novel methods and approaches that are applicable for multiple fields or interdisciplinary research. Abstract submission is now open for in-person participants and the deadline is September, 8th 2023. The registration for online participants will be open in October 2023. For further information on the conference and In-Person / Online Registration please visit the conference website. We are looking forward to seeing you at FRoBio in November 2023! Best regards, The Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Mon Jul 24 09:07:55 2023 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Mon, 24 Jul 2023 13:07:55 +0000 Subject: Connectionists: [jobs] Assoc. Prof. in Machine Learning (permanent) in Robotics and Intelligent Systems, Univ. of Oslo, Norway Message-ID: [Apologies if you receive multiple copies of this call. Please feel free to distribute it to potential candidates who might be interested.] Associate Professor in Machine Learning - two permanent positions in the Department of Informatics, University of Oslo, Norway The position(s) can be affiliated to or interact with the Robotics and Intelligent Systems (ROBIN) group at the University of Oslo, Norway ? the highest rated university in Norway: http://www.mn.uio.no/ifi/english/research/groups/robin The Department of Informatics is looking for candidates who will strengthen our research and education within Machine Learning (ML) and associated application areas. Candidates with a background in artificial intelligence/machine learning related to robotics or embedded systems are encouraged to apply and propose to be affiliated with the ROBIN group. We work with a set of different methods within AI and ML, including deep learning, evolutionary algorithms, evolutionary robotics, generative design, and more. Please see our web page for more information about our research. Candidates will be evaluated with respect to two different profiles, distinct for each of the positions (you should consider whether you are relevant to apply for one or both of the positions): 1. Associate Professor in Ethical Considerations in Machine Learning: For this position, we are looking for a candidate with a research background in machine learning including applications (see Qualifications below) and a track record in analysing aspects of machine learning methodology related to ethical considerations, like transparency, reliability, bias, privacy, fairness, sustainability, autonomy, inclusion, non-discrimination, etc. 2. Associate Professor in Machine Learning: This position is expected to be offered to a candidate with a strong research background in machine learning including applications (see Qualifications below). Please note that this position is announced in Norwegian and with a requirement for candidates to have fluent oral and written communication skills in both English and a Scandinavian language. Applications are to be submitted through a web page (see links in the announcement below) with a separate application for each of the two positions. You should clearly express the subject area(s) that you are relevant for and interested in (and address them in the requested research position paper). The ROBIN group would be pleased about candidates that express relevance to our research group. Qualifications: Applicants must have a degree equivalent to a Norwegian PhD in a relevant area for the positions. Candidates must have a research background in machine learning (ML) as outlined above, including applications of ML to at least one of the research areas mentioned in the announcement (correspond to the four different research groups in the ML section). Thus, the profile needs to be within the scope of the ROBIN group to be affiliated with our group. A promising publication record is required. Candidates must have international publications in acknowledged publication channels. The assessment of publications will emphasise originality, quality, and scope. Research output from the last 5 years will be given weight. Candidates must have prior teaching experience within ML, associated application areas or computer science and have a commitment to engage in undergraduate and graduate education and in mentoring and advising master and doctoral students. Pedagogical qualifications and teaching and supervision experience at all levels will be an important factor in the evaluation process and should be well documented in a teaching portfolio. See the full announcements for more requirements. Pay grade (depending on qualifications): NOK 745 000 - 895 000 per year, approx.: ?63,675 - 76,500 / $69,625 - 83,645 Announcements: Ethical Considerations in Machine Learning: https://www.jobbnorge.no/en/available-jobs/job/247019/associate-professor-in-ethical-considerations-in-machine-learning Machine Learning: https://www.jobbnorge.no/ledige-stillinger/stilling/247041/foersteamanuensis-i-maskinlaering Closing date for applications: 18th August 2023 For the requested and compulsory "research position paper", please look at our ROBIN group web page https://www.mn.uio.no/ifi/english/research/groups/robin/ (including our project overview https://www.mn.uio.no/ifi/english/research/groups/robin/robin-intro-mars-2022.pdf ) and outline how your background and interests in machine learning can match with and contribute to the ROBIN group research and projects. Our ongoing projects and most recent published papers are most relevant for our planned near-future research. Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Tue Jul 25 01:16:32 2023 From: stm at socio.org.uk (stm socio.org.uk) Date: Tue, 25 Jul 2023 05:16:32 +0000 Subject: Connectionists: RTIS 2023 Final Call Message-ID: CALL FOR PAPERS Fifth International Conference on Real-Time Intelligent Systems (RTIS 2023) October 09-11, 2023 University of Bedfordshire, Luton. UK (Hybrid mode- Physical/Virtual) www.socio.org.uk/rtis Lecture Notes in Networks and Systems by Springer https://www.springer.com/series/15179 Earlier conferences took place in Taipei, Taiwan (2018); Casablanca, Morocco (2017); Beijing, China (2016). The 5th RTIS will take place at the University of Bedfordshire, UK. Over the last few years, real-time intelligent computing has radically transformed the human lifestyle. Research on real-time intelligent systems is multi-disciplinary, exploiting concepts from diverse areas such as big data processing, computational intelligence, location-based services, recommendation systems, and multimedia processing. In today?s highly dynamic environment, analysing data in real-time is a must to understand how systems process data, reason the outputs, and anticipate trends in intelligent computing. To this end, this conference will serve as a platform to manifest the ongoing research in the field. Thus, RTIS welcomes theoretically grounded, methodologically sound papers that address aspects related to topics, such as: Artificial Intelligence Techniques Artificial Intelligence and Data mining Streaming data, streaming engines Trace-based intelligent real-time services Adaptive vision algorithms Location-based services Intelligent Robotic Systems Collaborative Intelligence Processing Intelligent Databases Data capture in real-time Data quality and cleansing Intelligent Data Analysis Intelligent Database Systems Big Data systems and applications for high-velocity data Intelligent Information Systems Privacy and Security in Intelligence Software Engineering Solutions Intelligent Soft Computing Real-time multiprocessor systems Internet of Things Architectures for Intelligence Real-time distributed coding Smart services and platforms Real-time modelling user information needs Wireless Communication Real-time intelligent communication Real-time intelligent network solutions Mobile Smart Systems Broadband Intelligence Cloud Computing and Intelligence Collaborative Intelligence Analysis in domains such as energy, sensors, Expert Systems Smart Life Systems Decision support systems in real time Multi-agent Intelligent Systems Multilingual information access Recommendation systems Real-time intelligent, alert systems Real-time remote access systems Intelligent Transportation Systems Critical Real-Time Applications Hybrid Intelligent Systems Real-time noise removal systems Event-driven analytics Intelligent Fuzzy Systems Machine translation in real time OLAP for real-time decision support Crowdsourcing and crowd intelligence Submission, proceedings Papers must be submitted online through OpenConf (https://www.socio.org.uk/rtis/paper-submission/). Author instructions and LaTex2e (preferred) and Word macro files are available on the submission page. Submitted papers should be within 14 pages (long papers) and eight pages (short ones), including figures, tables, and references. Authors of accepted papers are required to transfer their copyrights. For a paper to appear in the proceedings, at least one of the authors MUST register for the conference by the camera-ready submission deadline with full registration. Springer will publish The proceedings in Lecture Notes in Networks and Systems. Extended versions of the conference papers will be considered for publication in the below journals. Journal of Computational Methods in Sciences and Engineering (JCMSE) Future Internet https://www.mdpi.com/journal/futureinternet Data https://www.mdpi.com/journal/data (For Data and Future Internet, the discounted APC is applicable, which is 50%) Journal of Digital Information Management Journal of Intelligent Computing Venue The venue is the University of Bedfordshire, UK. Plenary speakers Professor Eric Atwell, Professor of Artificial Intelligence for Language School of Computing, University of LEEDS, UK Professor Wang Department of Electrical and Software Engineering University of Calgary, Canada Karthick Prasad Gunasekaran Amazon Web Services, USA Important Dates Full Paper Submission:??August 05, 2023 Notification of Acceptance/Rejection:?????August 31, 2023 Early-bird Registration:??????September 20, 2023 Late Registration: ?????September 30, 2023 Camera Ready Due:?October 15, 2023 Workshops/Tutorials/Demos:????October 08, 2023 Main conference:??October 09-11, 2023 Post-conference proceedings:?? November 15, 2023 General Chairs Ricardo Rodriguez-Jorge, Jan Evangelista Purkyn? University , Czech Republic Mart?n L?PEZ-NORES, University of Vigo, Spain Program Chairs Yao-Liang Chung, National Taiwan Ocean University, Taiwan Pit Pichappan, Digital Information Research Labs, India Workshop/Special Issues Chair Ezendu Ariwa, University of Warwick, UK www.socio.org.uk/rtis Contact: stm at socio.org.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Wed Jul 26 05:06:10 2023 From: stm at socio.org.uk (stm socio.org.uk) Date: Wed, 26 Jul 2023 09:06:10 +0000 Subject: Connectionists: Workshop on Generative AI models Message-ID: /First Workshop on "Next-Generation Models for Generative AI" (In conjunction with the Third International Conference on Digital Data Processing 2023) University of Bedfordshire, Luton. UK. November 27-29, 2023 https://socio.org.uk/ddp/workshop (IEEE CPS will publish the proceedings, and papers should follow the IEEE template) AI models use billions of parameters to detect and retrieve text and images. The currently available LL models are experimented with for their efficiency, and at the same time, newer models are being developed. There are many challenges associated with generative AI. The pre-training volume and efficiency are a focus. To leverage the training set with comprehensiveness and accuracy, billions of parameters are injected into the LLM. Current GPTs face criticism, and governments issue a caution to their use. For example, Zhuang Rongwen, China?s cyberspace chief, raises concerns over the power of generative AI and pledges to make it ?controllable'. The agenda for the future Generative AI is not clear. Improved generative tools should be capable of characterising extremist narratives in corpora to reveal different contexts, which may lead to building semantic-rich content for end-users. Testing the current models and their results may contribute to future research. Considering these issues, we framed a workshop to address the theme, Next Generation Models. The workshop themes include but are not limited to the following. Text, Image, Code, Video, 3D models Domain-specific models Compositional generative models Foundation models Energy-based models Deep equilibrium models Impact of Generative AI on Teaching and Learning Knowledge and Semantic Issues in Generative AI Future LLM AI Ethical Issues AI and NLP Embedding in AI Reinforcement learning Data Support and Datasets in AI Standards and Benchmarks Workshop Chairs Gloria Tengyue Li North China University of Technology Beijing China Simon Fong University of Macau Macau Hathairat Ketmaneechairat King Mongkut?s University of Technology North Bangkok, Thailand Important Dates Full Paper Submission: September 10, 2023 Notification of Acceptance/Rejection: October 10, 2023 Registration Due: November 10, 2023 Camera Ready Due: November 10, 2023 Workshops/Tutorials/Demos: November 28, 2023 Main conference: November 27-29, 2023 Post-conference proceedings: December 20, 2023 Paper Submission: http://socio.org.uk/ddp/paper-submission/ Contact: stm at socio.org.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Jul 26 03:58:26 2023 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 26 Jul 2023 09:58:26 +0200 Subject: Connectionists: SUBMIT YOUR WORK TO COMPLEX NETWORKS 2023 BEFORE SEPT. 02, 2023 Message-ID: *12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera , France November 28 - 30, 2023 COMPLEX NETWORKS 2023 You are cordially invited to submit your contribution until *September 02, 2023*. *SPEAKERS* ? Michael Bronstein University of Oxford UK ? Kathleen Carley Carnegie Mellon University USA ? Manlio De Domenico University of Padua Italy ? Danai Koutra University of Michigan USA ? Romualdo Pastor-Satorras Univ. Polit?cnica de Catalunya Spain ? Tao Zhou USTC China *TUTORIALS* ? Tiago de Paula Peixoto CEU Vienna Austria ? Maria Liakata Queen Mary University of London UK *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science Plos Complex Systems Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From dominik.endres at uni-marburg.de Wed Jul 26 11:48:09 2023 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Wed, 26 Jul 2023 17:48:09 +0200 Subject: Connectionists: Tenure Track Professorship for Computational Modelling of Behaviour Message-ID: Tenure Track Professorship for Computational Modelling of Behaviour Computational modeling of human behavior offers an important, future-oriented field of activity for psychologists. Developing models that describe and explain complex, dynamic behaviour is especially relevant in light of the rise of artificial intelligence and the increasing available of large-scale data sets on human behavior. The Department of Psychology at the Philipps University of Marburg strengthens the field of computational psychology by strategically filling this tenure track professorship. We are looking for a scientist who will strengthen the research focus of the Department of Psychology by setting up their own research group and who will actively participate in collaborations and research initiatives at the Department of Psychology and the Philipps University. The professorship will develop computational methods for modeling and evaluating human behavior, efficient information processing, adaptation to the environment and interaction with the environment. The professorship builds a bridge to computer science and thus supports the AI-initiative of the Philipps University of Marburg. For full advert, see: https://stellenangebote.uni-marburg.de/jobposting/18af91a469f5b69f9741eae7bd36595e1784922a0?ref=homepage best wishes, -- Prof. Dr. Dominik Endres Theoretische Kognitionswissenschaft - Theoretical Cognitive Science FB 04 Psychologie Tel: 06421-28 23818 From dkirsh at lsu.edu Wed Jul 26 16:20:16 2023 From: dkirsh at lsu.edu (David H Kirshner) Date: Wed, 26 Jul 2023 20:20:16 +0000 Subject: Connectionists: Conceptual Questions about Neural Nets In-Reply-To: References: Message-ID: I?m working on a book about the relation of learning theories to teaching practices, with a chapter devoted to neural nets as a model of skill learning. I have been digging into the literature, but not finding conceptual generalizations I need that span the various models (supervised, unsupervised, and reinforcement) through which neural nets are operationalized. I?ve generated a set of questions and conjectures that I?m not finding answered in the literature. If you like to think about neural nets beyond the technical and implementation issues, please contact me. I have some research funds available that I can use to compensate you for your time. David Kirshner ________________________ David Kirshner, Professor Mathematics Education 103 Peabody Hall School of Education Louisiana State University Baton Rouge LA 70803-4728 Office: (225) 578-2332??? Fax: (225) 578-9135 mailto:dkirsh at lsu.edu https://www.lsu.edu/chse/education/faculty_and_staff_directory/dkirshner.php From roland.w.fleming at psychol.uni-giessen.de Thu Jul 27 03:45:11 2023 From: roland.w.fleming at psychol.uni-giessen.de (Roland Fleming) Date: Thu, 27 Jul 2023 09:45:11 +0200 Subject: Connectionists: Postdoc and PhD positions in Roland Fleming's lab at JLU Giessen (ERC funded) Message-ID: <7462E78A-36A8-42E4-8508-666CA5CEAE9D@psychol.uni-giessen.de> Founded in 1607, Justus Liebig University Giessen (JLU) is a research university rich in tradition. Inspired by curiosity about the unknown, we enable around 26,500 students and 5,700 employees to advance science for society. Join us in breaking new ground and writing success stories - your own and those of our university. Support us from October 1st, 2023 in one of two full-time positions as a Postdoc (m/f/d) in the field of Perception, Imagination and Action The position is part of the externally funded Horizon Europe ERC Advanced Grant "STUFF" and is limited in the first instance to four years, at the Chair of Experimental Psychology, Department of Experimental Psychology at the Faculty of Psychology and Sport Science. The salary is in accordance with the collective labour agreement of the State of Hessen (E 13 TV-H). Your tasks at a glance Performing cutting edge research on how humans perceive, reason, imagine and act, especially regarding the physical properties of objects and materials Experimental and/or computational modelling of basic processes of the mind, bringing together a combination of psychophysics, machine learning, motion capture, robotics, computer graphics and/or brain imaging Working on the project, especially planning, implementing and executing research Data analysis Presenting the results at international conferences Writing publications Your qualifications and competences Completed Master?s or equivalent university degree and Doctorate in Psychology or a related discipline (e.g., Computer Sciences, Cognitive Science, Neurosciences, Biology, Engineering) Skills in Perceptual Psychology, Cognitive Science, Neurosciences, Machine Learning, Computer Graphics and/or Robotics Interest in fundamental research and experimental work Skills in Deep Learning and Computer Simulation are an advantage International experience is another advantage Excellent English skills Our offer to you Working as part of an outstanding team of interdisciplinary researchers Flexible working hours Free use of local public transport (LandesTicket Hessen) More than 100 training seminars, workshops and e-learning opportunities per year for personal development, as well as a wide range of health and sports activities Remuneration according to TV-H, company pension scheme, child allowance and special payments Good compatibility of family and career (certificate "Audit Familiengerechte Hochschule") If you have any further questions, please do not hesitate to contact Prof. Dr. Roland W. Fleming by phone (+49 641/99-26140) or by e-mail (roland.w.fleming at psychol.uni-giessen.de). JLU aims to employ more women in academic research. We therefore particularly encourage female candidates to apply. JLU is regarded as a family-friendly university. Applicants with children are very welcome. Applications from disabled people of equal aptitude will be given preference. You want to break new ground with us? Apply via our online form (https://www.uni-giessen.de/karriere/stellenangebote/application) by August 10th 2023, indicating reference number 492/06. We look forward to receiving your application. Founded in 1607, Justus Liebig University Giessen (JLU) is a research university rich in tradition. Inspired by curiosity about the unknown, we enable around 26,500 students and 5,700 employees to advance science for society. Join us in breaking new ground and writing success stories - your own and those of our university. Support us from October 1st, 2023 in part-time (65 %) as a Doctoral candidate (m/f/d) in the field of Perception, Imagination and Action The position is part of the externally funded Horizon Europe ERC Advanced Grant "STUFF" and is limited in the first instance to four years, at the Chair of Experimental Psychology, Department of Experimental Psychology at the Faculty of Psychology and Sport Science. The salary is in accordance with the collective labour agreement of the State of Hessen (E 13 TV-H). Your tasks at a glance Performing cutting edge research on how humans perceive, reason, imagine and act, especially regarding the physical properties of objects and materials Experimental and/or computational modelling of basic processes of the mind, bringing together a combination of psychophysics, machine learning, motion capture, robotics, computer graphics and/or brain imaging Working on the project, especially planning, implementing and executing research Data analysis Presenting the results at international conferences Writing publications Your qualifications and competences Completed Master?s or equivalent university degree in Psychology or a related discipline (e.g., Computer Sciences, Cognitive Science, Neurosciences, Biology, Engineering) Skills in Perceptual Psychology, Cognitive Science, Neurosciences, Machine Learning, Computer Graphics and/or Robotics Interest in fundamental research and experimental work Skills in Deep Learning and Computer Simulation are an advantage International experience is another advantage Excellent English skills Our offer to you Working as part of an outstanding team of interdisciplinary researchers Flexible working hours Free use of local public transport (LandesTicket Hessen) More than 100 training seminars, workshops and e-learning opportunities per year for personal development, as well as a wide range of health and sports activities Remuneration according to TV-H, company pension scheme, child allowance and special payments Good compatibility of family and career (certificate "Audit Familiengerechte Hochschule") If you have any further questions, please do not hesitate to contact Prof. Dr. Roland W. Fleming by phone (+49 641/99-26140) or by e-mail (roland.w.fleming at psychol.uni-giessen.de). JLU aims to employ more women in academic research. We therefore particularly encourage female candidates to apply. JLU is regarded as a family-friendly university. Applicants with children are very welcome. Applications from disabled people of equal aptitude will be given preference. You want to break new ground with us? Apply via our online form (https://www.uni-giessen.de/karriere/stellenangebote/application) by August 10th, 2023, indicating reference number 494/06. We look forward to receiving your application. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ai at okipublishing.com Thu Jul 27 12:20:07 2023 From: ai at okipublishing.com (AI Systems) Date: Thu, 27 Jul 2023 16:20:07 +0000 Subject: Connectionists: Abstracts Ext August 23: CAIS 2023 Automated and Intelligent Systems, Oct 2-5, USA & Online Message-ID: [Due extended per requests: apologies for cross-posting] --- Call for Abstracts and Papers ------------- 2023 OkIP International Conference on Automated and Intelligent Systems (CAIS) Oklahoma City, OK, USA & Online October 2-5, 2023 https://eventutor.com/e/CAIS003 Submission Deadline Extended: August 23, 2023 Extended versions of the best papers will be considered for publication in the inaugural volume of the International Journal of Automated and Intelligent Systems. *** Keynotes "Embedded AI Applications" Subramaniam Ganesan, PhD Oakland University, Rochester, MI, USA "AI and Digital Transformation: Industry Driven Partnerships" Adel S. Elmaghraby, PhD University of Louisville, KY, USA *** Contribution Types (Two-Column IEEE Format Style): - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 page) *** Areas: >> AI, Machine Learning (ML), and Applications - General ML | Active/Supervised Learning - Clustering/Unsupervised Learning - Online Learning | Learning to rank - Reinforcement Learning | Deep Learning (DL) - Semi/Self Supervised Learning - Time Series Analysis | Prediction/Forecasting - DL Architectures/Generative-Models - Deep Reinforcement Learning - Computational Learning Theory - Bandit/Game/Statistical-Learning Theory - Optimization Methods and Techniques - Convex/Non-Convex Optimization - Matrix/Tensor Methods - Stochastic/Online Optimizations - Non-Smooth/Composite Optimization - Probabilistic Inference | Graphical Models - Bayesian/Monte-Carlo Methods - Trustworthy Machine Learning - ML Accountability/Causality - ML Fairness/Privacy/Robustness - Healthcare/DNA/Transportation - Digital-Economy | Ecommerce Security - Sustainability | Energy | Green Technology - Language | Image - Recommendation Systems >> Agent-based, Automated, and Distributed Supports - Multi-Agent Systems | Software Agents - Dialogue System | Conversational Agent - Decentralized/Distributed Intelligence - Context-Aware Computing - Group Decision Support Systems - Intelligent Structures/Networks - Design/Automation Approaches - Sensor Networks Architectures - Complex Manufacturing Processes - Analytical Models | Path Planning - Multistage Assembly Line - Automated Inspection - Natural Language Processing >> Natural Language Processing (NLP) - Conversational Agents | Dialogue System - Large Language Models | Grammatical Tagging - Natural Language Generation/Toolkit - Linguistic Morphology | Morphological Analysis - Morphemesx Characteristics - Language Models and Smoothing - Document/Topic Classification/Notation - Sequence Labeling |Speech Tagging - Named Entity Recognition - Lexical Semantics | Word Embeddings - Phrase Structure | Dependency Syntax - Sentence Semantics | Speech Recognition - Question Answering | Machine Translation - Document Summarization | Sentiment analysis - Co-Reference Resolution - Word sense disambiguation - NLP Tools/Approaches | Statistical NLP - AI/Machine/Deep Learning Techniques for NPL - Convolutional/Recurrent Neural Networks >> Intelligent Systems and Applications - Medical Nanorobotics | - Sensory/Embedded Systems - Embedded Systems | Digital Manufacturing - Optimization/Evolutionary Algorithms - Bioinformatics/Biotechnology Applications - Computer-Vision Applications - Sensor-Networks Applications - Intelligent Design | Fuzzy Systems - Soft/Ubiquitous Computing - Pervasive/Wearable Computing - Intelligence Manufacturing | Microsatellite - Cyber-physical Systems | Kinematics >> Knowledge-based and Control Supports - Expert/Complex Systems - Decision-Support Systems - Intelligent Control/Supervision Systems - Knowledge Engineering - Neural Networks| Structural Optimization - Intelligent Teleoperation - Intelligent Shopfloor - Collision Avoidance | Fault Diagnosis - Object Detection and Tracking | Path Planning - Position/Quality/Motion Control - Predictive Control - Preventive Maintenance | Defect Detection >> Robotics and Vehicles - Unmanned Vehicles/Robots - Autonomous Vehicles/Robots - Human-Robot Interfaces - Human-Robot Interactions - Intelligent Telerobotics | Service Robots - Robotic Manipulators/Arms - Robotic Applications - Self-Driving Vehicles | Cloud-based Driving - Vehicular ad hoc Networks |Traffic Detection - Vehicle-to-Vehicle Communication - Vehicle Platooning | Steering Systems - Vehicle dynamics | Traffic Computing >> New Important Dates: - Abstract or Paper Submission: August 23, 2023 - Author Notification: September 7-10, 2023 - Camera Ready Paper Submission, Registration: September 20, 2023 - Conference Date: October 2-5, 2023 >> Technical Program Committee https://eventutor.com/event/38/page/83-committee Please feel free to contact us for any inquiries at: Kris Zeuti OkIP Secretariat info at okipublishing.com From mtanveer at iiti.ac.in Fri Jul 28 06:40:08 2023 From: mtanveer at iiti.ac.in (M Tanveer) Date: Fri, 28 Jul 2023 16:10:08 +0530 Subject: Connectionists: IEEE TFS SI - Advances in fuzzy deep learning algorithms for biomedical data (Last Date - Dec. 01, 2023) In-Reply-To: References: Message-ID: Special Issue: Advances in fuzzy deep learning algorithms for biomedical data Aim and Scope: Deep learning is one of the most important revolutions in the field of artificial intelligence over the last decade. Approaches under this family of models have achieved great success in different tasks such as computer vision, image processing, biomedical analysis and related fields. Researchers in deep and shallow machine learning including those working in computer vision, image processing, biomedical analysis and other fields comprising multi-dimensional data. Fuzzy set theory is a branch of artificial intelligence capable of analysing complex biomedical data, which has been one of the state of the art methodologies, leading to the enhanced performance in various medical applications to prevent, diagnose, and treat diseases. Compared to the traditional data analytics and decision support techniques, fuzzy sets and their extensions are effective white-box tools for representing and explaining the complexity and vagueness of the information, especially to reduce uncertainty. However, the relatively low learning efficiency and performance also hinder their applications in the medical domain. Therefore, in the last few years, integrating deep learning and fuzzy systems has been an emerging and promising topic with applications in healthcare. When tied with experienced clinicians, researchers in fuzzy deep learning can play a significant role in understanding and working on complex medical data, which ultimately leads to improved patient care. Developing novel fuzzy deep learning algorithms suited to deal with medical data still remains a challenge. Healthcare and biomedical sciences have become data-intensive fields, with a strong need for sophisticated data mining methods to extract knowledge from the available information. Biomedical data pose several challenges in data analysis, including high dimensionality, class imbalance and scarcity of annotated data featuring enough quality for modelling purposes. Although current research in this field has shown promising results, several research issues need to be explored, including novel feature selection methods to improve predictive performance along with interpretation, and to explore large scale data in biomedical sciences. This special issue aims to bring together the current research progress (from both academia and industry) on fuzzy deep learning algorithms to address the challenges of biomedical complex data. Special attention will be devoted to novel contributions related to feature selection, class imbalance, data fusion, explainability and biomedical use cases comprising real-world data. This special issue aims at providing an opportunity for collecting some advanced work in the fuzzy deep learning, including compilation of the latest research, development, and practical experiences as well as up-to-date issues, reviewing accomplishments, assessing future directions and challenges in this field. It will bring both researchers from academia and practitioners from industry to discuss the latest progress, new research topics, and potential application domains. Topics: The topics relevant to the special issue include (but are not limited to): - Fuzzy deep learning for computer aided detection and diagnosis - Fuzzy deep learning for neuroimaging - Fuzzy deep learning for radiographic data - Fuzzy deep learning for biomedical image classification and ROI localization - Fuzzy deep learning for genomics - Explainable fuzzy deep learning for prediction of healthcare variations - Fuzzy deep learning for multimodality neuroimaging data fusion systems - Fusion of fuzzy deep learning and big data for future challenges - Explainability of fuzzy deep learning in all its forms (counterfactuals, local explanations, relevance attribution, etc) - Advanced fuzzy deep learning techniques for the risk prediction of COVID-19 Submission guidelines: All authors should read ?Information for Authors? before submitting a manuscript http://cis.ieee.org/ieeetransactions-on-fuzzy-systems.html Submissions should be through the IEEE TFS journal website http://mc.manuscriptcentral.com/tfs-ieee. It is essential that your manuscript is identified as a Special Issue contribution. Ensure you choose ?Special Issue? when submitting. A cover letter must be included which includes the title ?Advances in fuzzy deep learning algorithms for biomedical data?. Important Dates: Submission Deadline: December 01, 2023 Notification of the first round review: February 2024 Revised submission due: May 2024 Final notification: August 2024 Guest Editors: M. Tanveer, Indian Institute of Technology Indore, India (Lead) Email: mtanveer at iiti.ac.in, Homepage: http://people.iiti.ac.in/~mtanveer/ Google Scholar Citations: 4330 with h-index 35 Chin-Teng Lin, University of Technology Sydney, Australia Email: Chin-Teng.Lin at uts.edu.au, Homepage: https://www.uts.edu.au/staff/chin-teng.lin Google Scholar Citations: 34400 with h-index 90 Yu-Dong Zhang, University of Leicester, UK Email: yudongzhang at ieee.org Homepage: https://le.ac.uk/people/yudong-zhang Google Scholar Citations: 27000 with h-index 91 ---------------------------------------------------------- Dr. M. Tanveer (Founding Chapter Chair, IEEE CIS Chapter - MP Section) 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 Transactions on Neural Networks & Learning Systems (IF: 10.4). Action Editor: Neural Networks, Elsevier (IF: 7.8). Associate Editor: Pattern Recognition, Elsevier (IF: 8.0). Editorial Board: Applied Soft Computing, Elsevier (IF: 8.7). Board of Editors: Engineering Applications of AI, Elsevier (IF: 8.0). Associate Editor: Neurocomputing, Elsevier (IF: 6.0). Associate Editor: Cognitive Computation, Springer (IF: 5.4). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 5.6). Lead Guest Editor: IEEE Transactions on Fuzzy Systems (IF: 11.9) -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Sat Jul 29 06:00:00 2023 From: evomusart at gmail.com (EvoMUSART) Date: Sat, 29 Jul 2023 12:00:00 +0200 Subject: Connectionists: CFP EvoMUSART 2024 Message-ID: ------------------------------------------------ Call for papers for the 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) ? Please distribute ? Apologies for cross-posting ------------------------------------------------ The 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place on 3-5 April 2024, as part of the evo* event. EvoMUSART webpage: www.evostar.org/2024/evomusart/ Submission deadline: 1 November 2023 Conference: 3-5 April 2024 EvoMUSART is a multidisciplinary conference that brings together researchers who are working on the application of Artificial Neural Networks, Evolutionary Computation, Swarm Intelligence, Cellular Automata, Alife, and other Artificial Intelligence techniques in creative and artistic fields such as Visual Art, Music, Architecture, Video, Digital Games, Poetry, or Design. This conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area. Submissions must be at most 16 pages long, in Springer LNCS format. Each submission must be anonymized for a double-blind review process. Accepted papers will be presented orally or as posters at the event and included in the EvoMUSART proceedings published by Springer Nature in a dedicated volume of the Lecture Notes in Computer Science series. Indicative topics include but are not limited to: * Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.; * Systems t hat create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.; * Systems that create artefacts such as game content, architecture, furniture, based on aesthetic and/or functional criteria; * Systems that resort to artificial intelligence to perform the analysis of image, music, sound, sculpture, or some other types of artistic objects; * Systems in which artificial intelligence is used to promote the creativity of a human user; * Theories or models of computational aesthetics; * Contextualisation of creative AI in cultural, economic, social, political or ecological discourse; * Computational models of emotional response, surprise, novelty; * Representation techniques for images, videos, music, etc.; * Surveys of the current state-of-the-art in the area; * New ways of integrating the user in the process (e.g. improvisation, co-creation, participation). More information on the submission process and the topics of EvoMUSART: www.evostar.org/2024/evomusart/ We look forward to seeing you in EvoMUSART 2024! The EvoMUSART 2024 organisers Colin Johnson S?rgio M. Rebelo Iria Santos (publication chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Fri Jul 28 17:12:17 2023 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 28 Jul 2023 14:12:17 -0700 Subject: Connectionists: NEURAL COMPUTATION - July, 2023 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 35, Number 7 - July 1, 2023 Now available for online download: http://www.mitpressjournals.org/toc/neco/35/7 http://cognet.mit.edu/content/neural-computation ----- Articles A Predictive Processing Model of Episodic Memory and Time Perception Zafeirios Fountas, Anastasia Sylaidi, Kyriacos Nikiforou, Anil K. Seth, Murray Shanahan, and Warrick Roseboom Reduced Dimension, Biophysical Neuron Models Constructed From Observed Data Randall Clark, Lawson Fuller, Jason A Platt, and Henry Abarbanel Differential Dopamine Receptor-dependent Sensitivity Improves the Switch Between Hard and Soft Selection in a Model of the Basal Ganglia Olivier Codol, Paul L. Gribble, and Kevin N. Gurney Letter Sensitivity of Sparse Codes to Image Distortions Kyle Luther, H. Sebastian Seung ----- 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 rava at ens.fr Sun Jul 30 14:49:04 2023 From: rava at ens.fr (Rava A. da Silveira) Date: Sun, 30 Jul 2023 20:49:04 +0200 Subject: Connectionists: NeurIPS Workshop "Information-Theoretic Principles in Cognitive Systems" Message-ID: NeurIPS Workshop: "Information-Theoretic Principles in Cognitive Systems" CALL FOR PAPERS Website (with submission information): https://sites.google.com/view/infocog-neurips-2023/call-for-papers Contact: infocog.neurips2023 at gmail.com Important Dates: * Paper submission deadline: September 20, 2023 * Author notification: October 27, 2023 * Camera ready deadline: November 27, 2023 The second InfoCog at NeurIPS workshop aims to further the understanding of information flow in cognitive processes and neural networks models of cognition by bringing together researchers from multiple disciplines, including machine learning, cognitive science, neuroscience, and information theory. This is the second workshop of this kind in NeurIPS. This year the workshop will continue last year?s community-building momentum and will additionally focus on advancing two main goals: First, providing a fruitful platform for discussing formulations of storage and processing of information in human and artificial cognitive systems, via information-theoretic measures. Specifically, we aim to further integrate information theory researchers in such discussions, deepening the mathematical knowledge and tools shared across disciplines. [NZ1] Second, facilitating research on addressing the challenges of computing information theoretic quantities, specifically for the needs of cognitive science and machine learning. We invite short submissions (up to 4 pages ? NeurIPS format) that present original work related to information theory and cognitive systems, and particularly encourage submissions of collaborative interdisciplinary work. Examples of specific topics of interest include but are not limited to: * Novel information-theoretic approaches to cognitive functions (e.g., perception, decision making, language, social reasoning, etc.) * Method and approaches for the validation of information theoretic formalisms in human and artificial cognition * Novel methods and approaches for the computation and/or estimation of information theoretic quantities and their applications to human and artificial cognition * Challenges and limitations of the use of information theory in studying cognitive systems * Application of information theory to training human-aligned artificial agents, i.e., agents that can better communicate and cooperate with humans All accepted papers will be presented in a poster session during the workshop, and a number of papers will also be selected for an oral presentation. We expect to have limited resources to offer financial aid to selected participants. More details will follow upon acceptance. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sabu.thampi at iiitmk.ac.in Sun Jul 30 03:53:36 2023 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Sun, 30 Jul 2023 13:23:36 +0530 Subject: Connectionists: =?utf-8?q?Call_for_Papers=3A_8th_International_Sy?= =?utf-8?q?mposium_on_Intelligent_Informatics_=28ISI=E2=80=9923=29?= Message-ID: ==================================================================== ** Apologies if you receive multiple copies of this announcement ** ** Please forward to anyone who might be interested ** ==================================================================== Call for Papers: 8th International Symposium on Intelligent Informatics (ISI?23) December 18-20, 2023, Bangalore, India https://acn-conference.org/2023/isi2023/ Submission Deadline: September 30, 2023 EDAS Submission Link: https://edas.info/N31318 Proceedings by Springer in Smart Innovation, Systems, and Technologies Series ===================================================================== The 8th International Symposium on Intelligent Informatics (ISI?23) aims to bring together researchers and practitioners from all over the world to share and discuss theoretical and practical developments in intelligent informatics. The scope of the Symposium includes but is not limited to, AI, Machine Learning, Cognitive Computing, Soft Computing, Security Informatics, Data Science, Computer Vision, Pattern Recognition, Intelligent Software Engineering, Intelligent Networked Systems, IoT, Cyber-Physical Systems and NLP. All accepted papers will be published by Springer in Smart Innovation, Systems and Technologies Series. This series is abstracted/indexed by SCOPUS, EI Compendex, INSPEC, SCImago and DBLP. The proceedings will be available via the SpringerLink digital library. ISI?23 invites original and unpublished work from individuals active in the broad theme of the Symposium. Topics of interest include, but are not limited to: -- Artificial Intelligence for Signal Processing -- Artificial Immune Systems -- Autonomous Agents and Multi-Agent Systems -- Bayesian Networks and Probabilistic Reasoning -- Big Data Analytics and Intelligence -- Biologically Inspired Intelligence/Brain-Computer Interfacing -- Chaos, Fractals, Rough Sets -- Cognitive Computing and Cognitive Systems -- Complex Networks and Systems -- Computer Vision -- Computational Intelligence and Soft Computing -- Control and Automation -- Cyber-Physical Systems -- Distributed Intelligent Systems -- Energy Systems -- Fault Detection, Fault Analysis, and Diagnostics -- Fusion of Neural Networks and Fuzzy Systems -- Green and Renewable Energy Systems -- High-Performance Computing -- Human Interface, Human Information Processing -- Hybrid and Distributed Algorithms -- Image and Speech Signal Processing -- Intelligence and Security Informatics -- Intelligent Sensor Networks -- Intelligent Software Engineering -- Intelligent Networked Systems -- Internet of Things and Ubiquitous Intelligence -- Knowledge-Based Systems, Knowledge Networks -- Machine Learning, Reinforcement Learning -- Memetic Computing -- Natural Language Processing -- Networked Control Systems -- Neural Networks and Applications -- Optimization and Decision Making -- Pattern Classification and Recognition -- Robotic Intelligence/Business Intelligence -- Robustness Analysis, Wavelet Analysis -- Self-Organizing Systems, Stochastic systems -- Security Informatics -- Social Intelligence, Web Intelligence -- Support Vector Machines -- Swarm Intelligence, Ant Colonies -- Virtual Reality in Engineering Applications -- Visualization for Artificial Intelligence Important Dates ---------------- Papers Due: September 30, 2023 Acceptance Notification: October 31, 2023 Final Paper Deadline: November 25, 2023 Contact: intelligent.informatica at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at snl.salk.edu Sat Jul 29 20:12:08 2023 From: terry at snl.salk.edu (Terry Sejnowski) Date: Sat, 29 Jul 2023 17:12:08 -0700 Subject: Connectionists: Correction to: NEURAL COMPUTATION - July, 2023 In-Reply-To: References: Message-ID: <7c33087f-56a0-1178-e10e-7c97450d7d92@snl.salk.edu> NEURAL COMPUTATION - Volume 35, Number 7 - July 1, 2023 Now available for online download: http://www.mitpressjournals.org/toc/neco/35/7 http://cognet.mit.edu/content/neural-computation ----- Article Efficient Decoding of Compositional Structure in Holistic Representations Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen Letters Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability Ganchao Wei, Ian H. Stevenson Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on Nonspiking Neuronal Dynamics Lo?s Naudin, Laetitia Raison-Aubry, Laure Buhry Optimization and Learning With Randomly Compressed Gradient Updates Zhanliang Huang, Yunwen Lei, Ata Kab?n Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE Yuhui Zhang, Yuichiro Wada, Hiroki Waida, Kaito Goto, Yusaku Hino Posterior Covariance Information Criterion for Weighted Inference Yukito Iba, Keisuke Yano ----- 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 songx at ohsu.edu Sat Jul 29 21:00:05 2023 From: songx at ohsu.edu (Xubo Song) Date: Sun, 30 Jul 2023 01:00:05 +0000 Subject: Connectionists: Multiple research positions available in ML/CV Message-ID: Positions (PhD students, postdocs, research engineers) in Machine Learning and Computer Vision at OHSU Applications are invited for a variety of positions in data science, machine/deep learning, computer vision and computational modeling at the Oregon Health and Science University (OHSU) in Portland, Oregon, USA. The research will focus on development and implementation of machine learning and computer vision algorithms and their applications to biomedical data, especially for early cancer detection and precision oncology. The candidate will be a member of the renowned Knight Cancer Institute and the newly founded Center for Biomedical Data Science at OHSU. The candidate will also have the opportunity to interact with several leading international academic institutions and major industry partners with whom we have built collaborations. The PhD students will have their degrees awarded through the Department of Biomedical Engineering. Many of our trainees are employed by tech companies such as Microsoft, Nvidia, Intel, Apple and Amazon as well as big biotech companies such as Merck. You Will: * Work and collaborate with a diverse team of machine/deep learning experts, imaging scientists, cancer biologists, radiologists and medical doctors to build a new generation of artificial intelligence in cancer research, detection and treatment. * Create, implement or apply algorithms and software in machine/deep learning for quantitative image analysis that will enable discoveries in biomedicine in diseases such as cancer. The tasks may include image registration, segmentation, characterization, quantification, classification, prediction, multimodal integration, dynamic modeling, spatial analysis, representation learning, etc., using a variety of imaging modalities from microscopy to body imaging. * Leverage the unique opportunity within the fields of computer vision, machine learning and cancer research provided by the unique data at OHSU for conventional and unconventional modeling with clinical and biomedical relevance, such as semi-supervised machine learning, multi-omics integration, and generative AI methods. * Have the opportunity to leverage modern computing clusters with hundreds of GPU?s and large cluster of DGX nodes. The requirements for these positions include: * A Bachelor?s or Master?s degree (or equivalent) in Electronical Engineering, Computer Science, Biomedical Engineering, Mathematics, Physics or a related discipline. Candidates with degrees in other field but strong quantitative skills and machine learning experiences are also encouraged to apply. * Strong analytical and computing skills. * Familiarity with basic statistical analysis, machine/deep learning and computer vision methods. * High level of proficiency in programming languages such as Python, Matlab, C/C++, or Java. * Experience with deep learning frameworks (e.g., Keras, TensorFlow, PyTorch) is desired. * Experience with working with real world data is desired. * Knowledge about cancer biology and microscopic imaging is desired but optional. * Excellent verbal and written communication skills. Salary and benefits will be highly competitive, and commensurate to qualification and experience. Interested candidates are encouraged to contact songx [at] ohsu (dot) edu. -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.bunte at rug.nl Mon Jul 31 07:50:23 2023 From: k.bunte at rug.nl (Kerstin Bunte) Date: Mon, 31 Jul 2023 13:50:23 +0200 Subject: Connectionists: [JOBS] Tenure Track Assistant Professor Intelligent Systems @ Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen, the Netherlands. Message-ID: Tenure Track Assistant Professor Intelligent Systems https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S000AB9P Closing date = 17-9-2023 We offer a Tenure Track Assistant Professor position with a research profile in Intelligent Systems within the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen, The Netherlands. Intelligent Systems aim to give computers and cyber-physical systems the abilities to perceive, analyze and learn from data, make decisions, and enhance human capabilities. The research area has experienced tremendous growth in recent years, especially due to the increase in incorporation of intelligent systems into nearly every aspect of our lives. The societal relevance of sustainability, efficiency, robustness, understanding and guarantees of algorithms is gaining more and more importance, not only in software but also in combination with cyber-physical systems. Relevant aspects are: the theory of machine learning, artificial intelligence and the mathematics of computing (ACM Computing Classification System, 2012 Revision). For this position, possible research directions include (but are not limited to) the theory and application of novel machine learning and artificial intelligence methods with an emphasis on solving pressing open questions, such as efficiency, transparency and interpretability, fairness, the integration of multi-modal and complex heterogeneous data, causal inference, continuous machine learning, generative and dynamic systems. Complex problems demand an increasing amount of interdisciplinary and cross-domain knowledge. Therefore, backgrounds in information theory, probabilistic representations, causality and computational geometry are also welcome to apply. As Assistant Professor with a focus on research, you will: - set up and develop your own research line and research group - supervise PhD students - acquire external funding - promote the societal relevance of your research - teach in and contribute to the development of the degree programs of the School of Science and Engineering, especially courses with computing science content - contribute to the organization of the faculty, for example by participating in working groups and committees, in the domains of teaching, research and management. The position will be embedded in the Intelligent Systems research unit. Our research areas include biologically inspired computational modeling, the theory of machine learning and algorithmic development, as well as image processing with mathematical morphology, machine learning and AI. National and international research collaborations span a multitude of application domains, including medical sciences and health care, natural sciences (astronomy, bioinformatics), remote sensing, computer vision, robotics, smart industry and engineering. About the University of Groningen Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 37,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and the top 100 universities in the world, the University of Groningen is truly an international place of knowledge. More information can be found at: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S000AB9P Kind regards, Kerstin Bunte -- Kerstin Bunte, Associate Professor | Rosalind Franklin Fellow Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence Faculty of Science and Engineering University of Groningen P.O. Box 407, 9700 AK Groningen The Netherlands Email: k.bunte at rug.nl web: http://www.cs.rug.nl/~kbunte/ From editor.auto.reply1 at gmail.com Mon Jul 31 06:28:03 2023 From: editor.auto.reply1 at gmail.com (Editor-in- Chief) Date: Mon, 31 Jul 2023 15:58:03 +0530 Subject: Connectionists: [CFP] IoT S&O - 2023 In-Reply-To: References: Message-ID: Dear All [Apologies for multiple messages] We are happy to inform that we are organizing The International workshop IOTSO2023: The 3rd International workshop on Internet of Things: Scope and Opportunities in conjunction with The 14th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN) to be held on November 7-9, 2023, Almaty, Kazakhstan. Please see the below details for more information. *Conference website* http://cs-conferences.acadiau.ca/euspn-23/workshops.html https://sites.google.com/view/iot-so-2023-euspn/home *Submission link* https://easychair.org/conferences/?conf=iotso2023 *Submission deadline* August 31, 2023 *Topics: iot network design and architecture internet of things (iot) applications iot technologies sec * *Internet of things is emerging technology for the world and science believes that Internet of Things will change the complete internet and its nuts and bolts. This Session will be based on combination of various technologies used in IoT for communication as well as Network security. Basic theme for this session will be inviting an innovative idea from the researchers, academicians and industries on Internet of things. Aim of this special session will be providing a platform to various individual or team from various organizations to represent their work and idea towards IoT technology development.* *(IoT-S&O 2023) will be held in *November 7-9, 2023, Almaty, Kazakhstan* in conjunction with the The The 14th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN). It will basically focus on recent advancements on internet of things and it?s implementations for society.* Submission Guidelines All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: *For submission:* Authors are requested to submit their papers electronically using the online conference management system in PDF format before the deadline (see Important Dates). The submission processes will be managed by easychair.org . If you have used this system before, you can use the same username and password. If this is your first time using EasyChair, you will need to register for an account by clicking "I have no EasyChair account" button. Upon completion of registration, you will get a notification email from the system and you are ready for submitting your paper. You can upload and re-upload the paper to the system by the submission due date. List of Topics *The topics of interest for this session include but are not limited to:* ? *IoT Network Design and Architecture* o *Software Architecture and Middleware* o *Mobile Services* o *Data and Knowledge Management* o *Context-awareness and Location-awareness* o *Security, Privacy and Trust* o *Performance Evaluation and Modeling* o *Networking and Communication Protocols* o *Machine to Machine Communications* o *Intelligent Systems for IoT and Services Computing* o *Social Implications for IoT* o *Future of IoT* ? *Internet of Things (IoT) Applications* o *Technological focus for Smart Environments* o *Next Generation Networks* o *Smart City Examples and Case Studies* o *Data Analysis and Visualization for Smart City, Green Systems and Transport Systems* o *Architecture for secure and interactive IoT* o *Intelligent Infrastructure and Guidance Systems* o *Traffic Theory, Modeling and Simulation* o *Sensor Networks, Remote Diagnosis and Development* o *Transportation Management* o *Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City* o *Smart university examples and case studies* ? *IoT Technologies* o *3D printing* o *Artificial Intelligence* o *Biotechnology* o *Communication* o *Data Processing* o *Electronic Technologies for in-vehicle* o *Mode-to-Mode Systems* o *Nanotechnology* o *Sensors* o *Transport Safety and Mobility* o *Vehicle-to-Infrastructure* o *Vehicle-to-Vehicle* ? *Security and privacy in heterogeneous IoT.* o *Secure and Privacy Preserving Data Mining and Aggregation in IoT applications.* o *Cross-domain trust management in smart networks.* o *Secure authentication of IoT devices.* o *MAC layer security protocols for the IoT applications.* o *IoT security mechanisms targeting application layer protocols.* o *Resource-savvy Intrusion Detection for Networks of Things.* o *IoT-based malware mitigation.* ? *IoT smart Enegy* o *Energy optimization using IoT* o *Use of renewable enegy in IoT* o *smart grid* o *Energy Efficiency in IoT Environment* Committees Organizing committee ? Dr. Nishant Doshi, PDEU, India ? Dr. Chintan Patel, KSU, India Publication ALL ACCEPTED PAPERS WILL BE PUBLISHED IN ELSEVIER Computer Science Procedia and Will be indexed in Scopus. Contact nishant.doshi at sot.pdpu.ac.in Chintan.p592 at gmail.com Important Dates Papers Submission Due: August 31, 2023 Authors Notifications: September 15, 2023 Final Manuscript Due: October 6, 2023 EUSPN 2023: November 7th ? 9th, 2023 Thanks and Regards IOTSO Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From stm at socio.org.uk Mon Jul 31 07:24:03 2023 From: stm at socio.org.uk (stm socio.org.uk) Date: Mon, 31 Jul 2023 11:24:03 +0000 Subject: Connectionists: Digital Data Processing 2023 Message-ID: Third International Conference on Digital Data Processing University of Bedfordshire Luton. UK November 27-29, 2023 Hybrid mode- Virtual/Physical www.socio.org.uk/ddp IEEE CPS will publish the proceedings (Xplore) Data grows voluminously and exponentially with heterogeneity and complexity. A single organisation or industry processes over a few million transactions hourly and stores several petabytes of data. We live in a world of tremendous pressure to analyse and process data more efficiently, where Data analytics can reflect hidden patterns, incomprehensible relationships, intrinsic information relations, and segmentation. Data applications have introduced cutting-edge possibilities in every activity in our life. Thus, studying data and its underlying structure, dynamics of data relations, and newer data technologies is a never-ending process. The literature and research on data management are enormous; they do not sufficiently solve the data processing requirements. Currently, the use of technology and interrelations among information pieces generate gargantuan amounts of data. Many studies tend to develop models and systems to analyse voluminous datasets. Analysing the impact of data leads to application domains on decisions that have a systematic influence. Knowledge generated from data analysis can enable the production of critical information for several domains. Hence this conference reviews and discusses the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology. This conference also highlights the current open research directions of data analytics that require further consideration. The proposed conference will discuss topics not limited to Data applications in various domains and activities Data in cloud Real-world data processing Data inaccuracy and reliability issues Data Ecosystem Business Analytics New data analytics techniques Physical and management challenges Privacy and Security Crowdsourcing and Sensing Data modelling Deep learning techniques Data fusion Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics Machine learning Network optimization Data in Biomedical Engineering Data in Materials science and mechanics Data handling and applications in domains Wireless Networking Data Management Data of Electronic & Embedded Systems Multi-media Systems Data Artificial Intelligence Models and Systems Data E-Computing Data Renewable Energies Data Publications The IEEE Xplore will publish the DDP papers. Besides modified versions of the papers will appear in the following journals. 1. Journal on Data Semantics 2. Technologies 3. Data Technologies and Applications 4. Journal of Digital Information Management 5. International Journal of Computational Linguistics 6. Journal of Computational Methods in Sciences and Engineering Important Dates Full Paper Submission: September 10, 2023 Notification of Acceptance/Rejection: October 10, 2023 Registration Due: November 10, 2023 Camera Ready Due: November 10, 2023 Workshops/Tutorials/Demos: November 28, 2023 Main conference: November 27-29, 2023 Post-conference proceedings: December 20, 2023 General Chair Ezendu Ariwa, Chair UK& RI IEEE TEMS, UK Program Chairs Ramiro Smano Robles, Instituto Superior de Engenharia do Porto Rua, Portugal Simon Fong, University of Macau, Macau Program Co-Chairs Ricardo Rodriguez Jorge, Autonomous University of Ciudad Juarez, Mexico ? Dion Goh, Nanyang Technological University, Singapore Publicity Chair Hathairat Ketmaneechairat, King Mongkut?s University of Technology, North Bangkok, Thailand Paper Submission: http://socio.org.uk/ddp/paper-submission/ Contact: stm at socio.org.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From Justus-prof at Piater.name Mon Jul 31 08:10:47 2023 From: Justus-prof at Piater.name (Justus Piater) Date: Mon, 31 Jul 2023 14:10:47 +0200 Subject: Connectionists: Another Ph.D. Student Position in Machine Learning for Robotics or Computer Vision at U. Innsbruck Message-ID: <87a5vce0xk.fsf@uibk.ac.at> The Intelligent and Interactive Systems group (Profs. Justus Piater, Antonio Rodr?guez-S?nchez, and Samuele Tosatto) is looking for a talented Ph.D. candidate. THE POSITION This is a university doctoral position that involves minor teaching duties. The precise research topics are negotiable within the scope of active research at IIS, including machine learning and growing levels of AI for computer vision and robotics. Of particular interest are topics in representation learning and causality for out-of-distribution situations. YOUR PROFILE Applicants must have * earned, or be about to earn, an M.Sc. degree or equivalent in computer science or other relevant area, * an excellent academic record, * a strong background in machine learning and in robotics or computer vision, * excellent mathematical and coding skills (C/C++, Matlab, ROS, Python), * excellent written and oral communication skills in English, and * enthusiasm for leading-edge research, a team spirit and independent problem-solving skills. HOW TO APPLY Apply [1] by August 17, 2023. The ideal starting date is September 15, 2023. [1] https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=13690 THE UNIVERSITY OF INNSBRUCK, AUSTRIA The University of Innsbruck offers a complete set of academic curricula and currently counts 28000 students. Founded in 2001, the Department of Computer Science is highly productive in diverse research domains, and is internationally very well connected. Innsbruck is home to 35000 students who imprint a distinctive, international student atmosphere upon this lively city of 130000. Beautifully located in the Tyrolean Alps, on the Inn river and surrounded by summits of up to 2718m, Innsbruck offers outstanding opportunities and quality of life all around the year. -- Head, Digital Science Center https://www.uibk.ac.at/disc/ Computer Science, Intelligent and Interactive Systems https://iis.uibk.ac.at/ University of Innsbruck, Austria From xavier.hinaut at inria.fr Mon Jul 31 13:29:56 2023 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Mon, 31 Jul 2023 19:29:56 +0200 Subject: Connectionists: [PhD] Inria Bordeaux, FR: From Reservoir Transformers to BrainGPT Message-ID: <07538F2C-5A9C-419F-8504-203D48546D70@inria.fr> PhD position available at Inria, Bordeaux, France: "From Reservoir Transformers to BrainGPT" # Keywords Transformers; Reservoir Computing; Computational Neuroscience # Duration & start date 3 years starting 1st October 2023 (estimated) # Context This PhD thesis is part of the BrainGPT "Inria Exploratory Action" project. In the wake of the emergence of large-scale language models such as ChatGPT, the BrainGPT project is at the forefront of research in Artificial Intelligence and Computational Neuroscience. These models, although remarkably powerful, do not reflect the way in which our brains process and learn language. BrainGPT is rising to the challenge by focusing on the development of models that are more faithful to human cognitive functioning, inspired by data on brain activity during listening or reading. The ambition is to create more efficient models that are less dependent on intensive calculations and massive volumes of data. BrainGPT will open up new perspectives on our understanding of language and cognition. # Project and Work description The rapid rise in performance of language models, as demonstrated by the recent appeal of ChatGPT, is undeniable. However, the computational cost and environmental impact associated with such models are often overlooked [1]. These models rely on Transformers [2], which facilitate unsupervised learning on a large volume of data. These same models are used to predict brain activity from functional magnetic resonance imaging (fMRI) or magnetoencephalography (MEG), an application our team also exploits [3]. The main ambition of the BrainGPT project is to combine the explainability of mechanistic models with the predictive power of Transformers to analyze brain imaging data. Today, on the one hand we have explanatory but less predictive mechanistic models, such as those based on Reservoir Computing, and on the other hand, high-performance predictive models, but not explanatory, like Transformers. Our goal is to combine the best of these two approaches, to develop more efficient ("sample efficient") models inspired by Transformers, which more faithfully reflect the how the brain works, while improving the predictive power of mechanistic models. Towards this ambition, the BrainGPT project seeks to identify the key mechanisms that allow Transformers to predict brain activity. Furthermore, our project strives to build models that are more biologically plausible than Transformers, incorporating the most relevant components for predicting brain activity, while integrating constraints derived from human cognition studies. The long-term objectives of the BrainGPT project are as follows: - Making Transformers more biologically plausible, which could improve the prediction of brain activity by imaging (fMRI, MEG, etc.). - Proposing new perspectives and computing paradigms that do not rely exclusively on gradient backpropagation, given its high computational and energy cost. - Reducing the energy footprint of Transformers by minimizing the computational costs associated with their learning. In summary, the thesis will mainly consist of developing new bio-inspired models inspired by the mechanisms, learning methods, and emerging behaviors of Large Language Models (LLMs) and Transformers. Subsequently, in collaboration with our collaborators, these models will be tested to assess their ability to predict brain activity from imaging data. [1] Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021, March). On the dangers of stochastic parrots: Can language models be too big??. In Proc. of the 2021 ACM conference on fairness, accountability, and transparency (pp. 610-623). [2] Vaswani, A. et al. (2017) Attention is all you need. In Proc. of Advances in neural information processing systems. [3] Oota, S. R., Trouvain, N., Alexandre, F., & Hinaut, X. (2023, August). MEG Encoding using Word Context Semantics in Listening Stories. In Proc. of INTERSPEECH 2023. # Contact & Application Informal contact/questions and application: email to xavier dot hinaut at inria dot fr Application & More info: https://recrutement.inria.fr/public/classic/en/offres/2023-06611 All positions available: https://github.com/neuronalX/phd-and-postdoc-positions Deadline: Applications will be considered on a rolling basis. A candidate will be selected as soon as a suitable profile is found. # Skills Ideal Candidate Profile: - Holds an engineering or scientific degree and/or a PhD in digital sciences (computer science, automation, signal processing). - Has a first professional experience (6 months of internship or more) in Machine Learning and Python development. Especially in one or more of the following: Recurrent Neural Networks (in particular Reservoir Computing), Transformers, Large Language Models. - Possesses strong expertise in the scientific Python software and scientific stack (numpy/scipy). - Demonstrates a solid grasp of linear algebra concepts. - Proficiency in technical English is crucial, as it enables efficient collaboration with our international partners and effective presentations at conferences. - Has proven experience with version management, familiarity with Git, and proficiency in using the GitHub platform. # Advisor & Location Xavier Hinaut Inria Bordeaux & Institute for Neurodegenerative diseases (Pellegrin Hospital Campus, Bordeaux). Best regards, Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy From mathislamarre at gmail.com Mon Jul 31 13:55:11 2023 From: mathislamarre at gmail.com (Mathis Lamarre) Date: Mon, 31 Jul 2023 13:55:11 -0400 Subject: Connectionists: Job Opening: PhD & PostDoc positions @TU Berlin on Computational Cognitive Neuroscience of Language in collaboration with UC Berkeley Message-ID: We are looking for highly motivated researchers to join our group in interdisciplinary projects that focus on the development of computational models to understand how linguistic information is represented in the human brain. Computational encoding models in combination with deep learning-based machine learning techniques will be developed, compared, and applied to identify linguistic representations in the brain. The projects are conducted in collaboration with UC Berkeley. PhD Position: Please find further details about the positions and how to apply here. The application deadline is August 11th. PostDoc Position: Please find further details about the positions and how to apply here. The application deadline is August 4th. For informal inquiries please contact Fatma Deniz (deniz at tu-berlin.de) directly. -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Mon Jul 31 22:46:06 2023 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 1 Aug 2023 08:16:06 +0530 Subject: Connectionists: Deadline Extension (2023 10th ISCMI) Message-ID: Dear esteemed colleagues, This is to let you know that in view of numerous requests from our peers, the deadline for submission of manuscripts for 2023 10th ISCMI has been extended till 5th September, 2023. For more information regarding conference proceedings, spl. issue of Springer Publication etc pls. visit the conference website http://www.iscmi.us I solicit your help in sharing this piece of info with your peers and motivate them to submit manuscripts. Thank you and will be looking forward to receive manuscripts from you/your colleagues in the coming days. With kind regards, Suash Deb General Chair, ISCMI 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: