From krallinger.martin at gmail.com Mon Sep 2 08:07:28 2024 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Mon, 2 Sep 2024 14:07:28 +0200 Subject: Connectionists: [JOB] Open Post-Doc Position in Barcelona (BSC): Data science and AI expert for Clinical NLP and LMs Message-ID: Dear All, The NLP4BIA group at the Barcelona Supercomputing Center (BSC) is looking for a post-doctoral researcher with expertise in data science, NLP and LMs. *URL application*: https://www.bsc.es/join-us/job-opportunities/54824lsnlpr3 The position description is below. Please let me know if you or others you know are interested. Best wishes, Martin Krallinger ======================================= Martin Krallinger, Dr. Head of NLP for Biomedical Information Analysis Unit Barcelona Supercomputing Center (BSC-CNS) https://www.linkedin.com/in/martin-krallinger-85495920/ ======================================= *About BSC* The Barcelona Supercomputing Center - Centro Nacional de Supercomputaci?n (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. *Context And Mission* The Natural Language Processing for Biomedical Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text-mining solutions applied primarily to biomedical and clinical data. It is a highly interdisciplinary team, funded through competitive European and National projects requiring the implementation of natural language processing and advanced AI solutions making use of diverse technologies, including Transformers and recent advances in Large Language Models (LLM) to improve healthcare data analysis. The NLP4BIA-BSC is looking for a *Postdoctoral Research Engineer with experience in Language Technologies and Deep Learning*. The candidate will be involved in technical work related to international projects, being part of a team of researchers working on topics related to multilingual information extraction in the clinical field, including Named-Entity Recognition, Entity Linking and Language Modeling. The candidate will have the opportunity to advance the state of the art of cross-lingual biomedical NLP methods by working in a multidisciplinary environment alongside linguists, medical experts, and other engineers. The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan. For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s *Key Duties* - Generation of Large Language Models - NLP system development: Development of monolingual and multilingual content classification and entity recognition systems - Pre-training of monolingual and multilingual language models for biomedicine - Managing projects and technical project coordination - Collaborate in drafting technical research proposals and writing scientific papers. *Requirements* - Education - University degree in Computer Science, Computational Linguistics, or other engineering / science degree. - PhD in Computer Science, Computational Linguistics, or similar - Essential Knowledge and Professional Experience - Experience in Natural Language Processing technologies, preferable with some publication track record or projects in the field of LLMs/Deep Learning/NLP - Ability to design, implement, and evaluate existing NLP and LMs models. - Experience in developing models using transformer architectures. - Practical experience with deep learning libraries (e.g. Pytorch, TensorFlow, Spacy, Transformers?) - Knowledge of deep learning methods for fine-tuning large language models. - Advanced programming skills in Python. - Experience in software development resources (Git) - Additional Knowledge and Professional Experience - Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous. - Competences - Ability to work in a team and in a multi-cultural environment. - Good communication and presentation skills. - Technical writing skills. - A proactive mindset, with creativity to design new solutions. - Ability to work effectively both autonomously and as part of an interdisciplinary team. - Comfortable working under pressure and meeting strict deadlines. Proactive working style. *Conditions* - The position will be located at BSC within the Life Sciences Department - We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance - Duration: 4 years - Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement - Salary: 55.000,00 ? - Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc. - Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Mon Sep 2 09:07:31 2024 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 2 Sep 2024 15:07:31 +0200 Subject: Connectionists: [COMPLEX NETWORKS 2024] Submission Deadline Extended: September 15, 2024 Message-ID: 13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 You are cordially invited to submit your contribution until *September 15, 2024 (firm deadline)*. *----------------------------------------------------------------------------------------------------------------------------------------------* *KEYNOTE SPEAKERS* ? Federico Battiston Central European University, Austria ? Tina Eliassi-Rad Northeastern University, USA ? Frank Emmert-Streib Tampere University, Finland ? Filippo Menczer Indiana University, USA ? Luciano Pietronero University of Rome, Italy *----------------------------------------------------------------------------------------------------------------------------------------------* *TUTORIALS (December 09, 2024)* ? Alessandro Galeazzi University of Padova, Italy ? Clara Stegehuis Twente University, The Netherlands *----------------------------------------------------------------------------------------------------------------------------------------------* *CONTRIBUTIONS* *Full papers: *not previously published up to 12 pages ? *Papers *will be included in the conference *proceedings edited by Springer* *Extended Abstracts*: about published or unpublished research up to 4 pages . ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* ? *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* *----------------------------------------------------------------------------------------------------------------------------------------------* *JOURNAL SPECIAL ISSUES* *Extended versions of accepted contributions will be invited for publication in special issues of :* o PLOS Complex Systems edited by PLOS . o PLOS One edited by PLOS o Applied Network Science edited by Springer Nature o Social Network Analysis and Mining edited by Springer Nature o Computational & Mathematical organization edited by Springer Nature o Advances in Complex Systems edited by World Scientific o Complex Systems Journal *Invitation Notification: December 18,2024* *Submission Deadline: February 28,2025* *----------------------------------------------------------------------------------------------------------------------------------------------* *SUBMISSION* *Refer to **https://complexnetworks.org/submission/* *----------------------------------------------------------------------------------------------------------------------------------------------* *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *-----------------------------------------------------------------------------------------------------------------------------------------* For further information and inquiries, please contact us at info at complexnetworks.org Join us at COMPLEX NETWORKS 2024 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems Founding & Adisory Editor Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Sep 2 13:28:43 2024 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Mon, 2 Sep 2024 17:28:43 +0000 Subject: Connectionists: NEURAL NETWORKS, Sept. 2024 Message-ID: Neural Networks - Volume 177, Sept. 2024 https://www.journals.elsevier.com/neural-networks Human attention guided explainable artificial intelligence for computer vision models Guoyang Liu, Jindi Zhang, Antoni B. Chan, Janet H. Hsiao EWT: Efficient Wavelet-Transformer for single image denoising Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, ... Tieyong Zeng A Multi-Level Relation-Aware Transformer model for occluded person re-identification Guorong Lin, Zhiqiang Bao, Zhenhua Huang, Zuoyong Li, ... Yunwen Chen Modeling Bellman-error with logistic distribution with applications in reinforcement learning Outongyi Lv, Bingxin Zhou, Lin F. Yang An invisible, robust copyright protection method for DNN-generated content Donghua Wang, Wen Yao, Tingsong Jiang, Weien Zhou, ... Xiaoqian Chen AdaDFKD: Exploring adaptive inter-sample relationship in data-free knowledge distillation Jingru Li, Sheng Zhou, Liangcheng Li, Haishuai Wang, ... Zhi Yu Improving span-based Aspect Sentiment Triplet Extraction with part-of-speech filtering and contrastive learning Qingling Li, Wushao Wen, Jinghui Qin Advanced optimal tracking integrating a neural critic technique for asymmetric constrained zero-sum games Menghua Li, Ding Wang, Jin Ren, Junfei Qiao Structure enhanced prototypical alignment for unsupervised cross-domain node classification Meihan Liu, Zhen Zhang, Ning Ma, Ming Gu, ... Jiajun Bu Unsupervised domain adaptive segmentation algorithm based on two-level category alignment Wenyong Dong, Zhixue Liang, Liping Wang, Gang Tian, Qianhui Long Prototype-based sample-weighted distillation unified framework adapted to missing modality sentiment analysis Yujuan Zhang, Fang'ai Liu, Xuqiang Zhuang, Ying Hou, Yuling Zhang Active Dynamic Weighting for multi-domain adaptation Long Liu, Bo Zhou, Zhipeng Zhao, Zening Liu M_{2}ixKG: Mixing for harder negative samples in knowledge graph Feihu Che, Jianhua Tao Regularization, early-stopping and dreaming: A Hopfield-like setup to address generalization and overfitting E. Agliari, F. Alemanno, M. Aquaro, A. Fachechi Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model Lulin Ye, Chi Zhou, Hong Peng, Jun Wang, ... Qian Yang Segmenting medical images with limited data Zhaoshan Liu, Qiujie Lv, Chau Hung Lee, Lei Shen A robust self-supervised image hashing method for content identification with forensic detection of content-preserving manipulations Jes?s Fonseca-Bustos, Kelsey Alejandra Ram?rez-Guti?rrez, Claudia Feregrino-Uribe SSTE: Syllable-Specific Temporal Encoding to FORCE-learn audio sequences with an associative memory approach Nastaran Jannesar, Kaveh Akbarzadeh-Sherbaf, Saeed Safari, Abdol-Hossein Vahabie Emergence of integrated behaviors through direct optimization for homeostasis Naoto Yoshida, Tatsuya Daikoku, Yukie Nagai, Yasuo Kuniyoshi A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection Bing Xue, Xin Gao, Baofeng Li, Feng Zhai, ... Chun Xiao DualFluidNet: An attention-based dual-pipeline network for fluid simulation Yu Chen, Shuai Zheng, Menglong Jin, Yan Chang, Nianyi Wang Do we really need a large number of visual prompts? Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda -------------- next part -------------- An HTML attachment was scrubbed... URL: From pomarien at gmail.com Mon Sep 2 15:22:37 2024 From: pomarien at gmail.com (Samir ouchani) Date: Mon, 2 Sep 2024 19:22:37 +0000 Subject: Connectionists: [CRISIS 2024 - Final Deadline Extension] The 19th International Conference on Risks and Security of Internet and Systems In-Reply-To: References: Message-ID: CRiSIS 2024 : The 19th International Conference on Risks and Security of Internet and Systems November 26th - 28th, 2024 Aix-en-Provence, France https://crisis2024.univ-gustave-eiffel.fr New Deadlines Submission Deadline : September 09th, 2024 Notification of acceptance: October 08th, 2024 Camera Ready : October 15th, 2024 Article Collections the European Transport research review ( ETRR) Special Issues (1) NASA Springer Journal is beeing Considered (2) The second will be announced The 19th International Conference on Risks and Security of Internet and Systems (CRiSIS) in 2024 continues its tradition of addressing critical security challenges in Internet-connected applications, networks, and systems. The indispensability of the Internet for information exchange among diverse user groups and organizations has led to heightened risks around security and privacy. This vulnerability is exacerbated by the sophistication of online attacks, the proliferation of cybercrime, and the readily available tools for attackers, who are increasingly motivated and skilled. The advent of complex technologies, including pervasive computing, mobile, and wireless devices and networks, introduces new security challenges, necessitating the deployment of advanced security mechanisms and techniques. These advancements are crucial for protecting critical sectors such as energy, transportation, health, defense, banking, critical infrastructures, embedded systems and networks, avionics systems, and more, ensuring an acceptable level of security assurance. CRiSIS 2024 serves as an essential platform for stakeholders in computer and network security from the industrial, academic, and governmental sectors to convene, share insights, and showcase the latest developments in combating Internet-related security threats, vulnerabilities, and the necessary countermeasures to address them. GENERAL CHAIRS ============== - Fr?d?ric Cuppens, Polytechnique Montreal, Canada. - Nora Cuppens, Polytechnique Montreal, Canada. - Jean-Paul Mizzi, Universit? Gustave Eiffel, France. - David Garcia, CESI Lineact, France. PROGRAM COMMITTEE CHAIRS ========================== - Simon Collart Dutilleul, Universit? Gustave Eiffel, France. - Samir Ouchani, CESI Lineact, France. ============================= Dr. Samir Ouchani, Ing., PhD., HDR. Research Director, CESI Lineact. Aix-en-Provence, France. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbonaiuto at gmail.com Mon Sep 2 11:07:27 2024 From: jbonaiuto at gmail.com (James Bonaiuto) Date: Mon, 2 Sep 2024 17:07:27 +0200 Subject: Connectionists: Release of laMEG: a toolbox for laminar MEG Message-ID: Dear colleagues, Apologies for the cross-posting. I'm extremely pleased to announce the first release of laMEG: a toolbox for performing non-invasive inference of laminar-specific activity with MEG. My collaborators and I have been working on methods for laminar MEG for several years now, and we've finally put them all together in an easy-to-install toolbox. It includes test data, and tutorial jupyter notebooks to reproduce the simulations and analyses in all of our key papers: - Laminar inference using model comparison with either free energy or cross validation error, as well as power-based ROI analysis Bonaiuto, James J., Holly E. Rossiter, Sofie S. Meyer, Natalie Adams, Simon Little, Martina F. Callaghan, Fred Dick, Sven Bestmann, and Gareth R. Barnes. "Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms." *Neuroimage* 167 (2018): 372-383. Bonaiuto, James J., Sofie S. Meyer, Simon Little, Holly Rossiter, Martina F. Callaghan, Frederic Dick, Gareth R. Barnes, and Sven Bestmann. "Lamina-specific cortical dynamics in human visual and sensorimotor cortices." *Elife* 7 (2018): e33977. - Free energy model comparison in a sliding time window with priors Bonaiuto, James J., Simon Little, Samuel A. Neymotin, Stephanie R. Jones, Gareth R. Barnes, and Sven Bestmann. "Laminar dynamics of high amplitude beta bursts in human motor cortex." *NeuroImage* 242 (2021): 118479. - Surface post-processing, following up from FreeSurfer recon-all, to downsample multiple surfaces and compute link vectors to constrain dipole orientations Bonaiuto, James J., Fardin Afdideh, Maxime Ferez, Konrad Wagstyl, J?r?mie Mattout, Mathilde Bonnefond, Gareth R. Barnes, and Sven Bestmann. "Estimates of cortical column orientation improve MEG source inversion." *Neuroimage* 216 (2020): 116862. laMEG includes the ability to run any of these analyses on an arbitrary number of layer surfaces (not just pial versus white matter), interactive 3d surface visualization, an experimental "CSD" laminar analysis, and SPM compiled as a python library - no matlab license required. Github: https://github.com/danclab/laMEG Documentation: https://danclab.github.io/laMEG/ PyPI: https://pypi.org/project/lameg/ Best wishes, Jimmy Bonaiuto --------------------- James Bonaiuto Group leader | Institut des Sciences Cognitives | CNRS / Universit? Claude Bernard Lyon DANC lab | @danc_labo -------------- next part -------------- An HTML attachment was scrubbed... URL: From erik at oist.jp Tue Sep 3 00:58:16 2024 From: erik at oist.jp (Erik De Schutter) Date: Tue, 3 Sep 2024 04:58:16 +0000 Subject: Connectionists: Postdoc in modeling cerebellar function Message-ID: <808094E0-2C3E-47C4-99B8-41358AE2038A@oist.jp> A postdoctoral position is available in the Computational Neuroscience Unit (https://groups.oist.jp/cnu) of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology for a researcher interested in modeling to help better understanding of cerebellar properties and function. Candidates should have good knowledge of cerebellar anatomy and physiology related to previous modeling work, and be open to an explorative approach. Depending on prior experience and interest the focus can be on modeling the cerebellum and its neurons and/or on analyzing experimental data obtained through collaboration. The postdoc will interact with other researchers and students in the lab who are working on cerebellar modeling projects. We offer attractive working conditions in an English language graduate university, located on a beautiful subtropical island. Starting date any time before end 2024. Send curriculum vitae, summary of research interests and experience, and the names of two referees to Prof. Erik De Schutter at erik at oist.jp -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 3766 bytes Desc: not available URL: From cgf at isep.ipp.pt Wed Sep 4 05:55:12 2024 From: cgf at isep.ipp.pt (Carlos) Date: Wed, 4 Sep 2024 10:55:12 +0100 Subject: Connectionists: CFP: Journal Track with ECML PKDD 2025 at Porto, Portugal Message-ID: <90639059-bef4-4e39-b864-8bb0aaa5e1fc@isep.ipp.pt> We invite submissions of high-quality manuscripts reporting relevant research studies on all topics related to machine learning, knowledge discovery, and data mining for the journal track of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) 2025. The journal track is implemented in partnership with the Machine Learning Journal and the Data Mining and Knowledge Discovery Journal. The conference provides an international forum to discuss the latest high-quality research results in all areas related to machine learning, data mining, and knowledge discovery. The complete CFP can be found at https://ecmlpkdd.org/2025/submissions-journal-track/. ---------------------- Time scale ---------------------- The journal track allows continuous submissions from October 2024 to February 2025. Papers will be processed and sent out for review after each of the following three cutoff dates: October 11, 2024 December 13, 2024 February 14, 2025 The deadline on these dates is 23:59, Anywhere on Earth (AoE). The reviewing process is single-blind. ---------------------- Submission procedure ---------------------- To submit to this track, authors have to make a journal submission to the CMT site (link https://cmt3.research.microsoft.com/ECMLPKDDJT2025/Submission/Index). They must submit the title and abstract, add the author names, choose the areas related to the paper, fill out an information sheet, and indicate which of the two journals the paper is intended for. The full paper in pdf format, following the Springer templates, must also be submitted to the CMT system. Please note that no paper can be submitted to both journals. It is highly recommended that submitted papers do not exceed 20 pages, including references. Unlimited appendices may accompany every paper. Manuscripts submitted to the Journal Track that receive the final acceptance decision by July 15, 2025, will be presented at ECML-PKDD 2025 in Porto. ---------------------- Contact ---------------------- For further information, please contact the email: ecml-pkdd-2025-journal-track-chairs at googlegroups.com ---------------------- Journal Track Chairs ---------------------- Ana Carolina Lorena, Aeronautics Institute of Technology, Brazil Concha Bielza, Universidad Polit?cnica de Madrid, Spain Longbing Cao, University of Technology Sydney, Australia Arlindo Oliveira, Instituto Superior T?cnico, Portugal Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From hongzhi.kuai at gmail.com Wed Sep 4 08:09:11 2024 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Wed, 4 Sep 2024 21:09:11 +0900 Subject: Connectionists: CfPs: Brain Informatics 2024 Message-ID: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 17th International Conference on Brain Informatics (BI'24) December 13-15, 2024 | Bangkok, Thailand The key theme: Brain Science meets Artificial Intelligence A hybrid conference with both online and offline modes History of BI: www.youtube.com/watch?v=Y2s78IIN-CQ Conference homepage: wi-consortium.org/conferences/bi2024/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Main Conference Paper Submission System: * 20 September 2024: Full Paper Submission Deadline https://wi-lab.com/cyberchair/2024/bi24/scripts/submit.php?subarea=B Workshop Paper Submission System: https://wi-consortium.org/conferences/bi2024/workshops%20special%20sessions.html Registration System: https://wi-consortium.sit.kmutt.ac.th/register/ Keynote Speakers: * Professor Kenji Doya Okinawa Institute of Science and Technology (OIST) Graduate University, Japan TITLE: Brain/MINDS 2.0 and the Digital Brain Project * Professor Hanchuan Peng SEU-ALLEN Joint Center, Southeast University, China TITLE: Toward Building a Whole Brain Connectome at Single Neuron Resolution * Professor Allison Sekuler McMaster University & University of Toronto, Canada TITLE: To be Confirmed. * Professor Ramesh Srinivasan University of California, Irvine, USA TITLE: Graphical Modeling of Brain Networks * Professor Lucina Q. Uddin University of California Los Angeles, USA TITLE: Brain Dynamics and Flexible Behaviors More to be confirmed. Sponsored By: IEEE Computer Society Technical Committee on Intelligent Informatics (TCII: https://www.computer.org/communities/technical-committees/tcii) Web Intelligence Consortium (WIC: https://wi-consortium.org/) King Mongkut's University of Technology Thonburi, Thailand (KMUTT: https://www.kmutt.ac.th/en/) Asia-Pacific Neural Network Society (APNNS) IEEE-CIS Brain Informatics Task Force IEEE-CIS Thailand Chapter Springer Nature ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 17th International Conference on Brain Informatics (BI'24) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'24 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High-quality BI conference papers may be nominated to submit an extended version for a fast-track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. *** Paper Submission and Publications *** 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines). Overlength pages will be charged 100$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain). Abstract Submission (Only for Workshops/Special Sessions): Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'24 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 20 September 2024: Full Paper Submission Deadline * 20 September 2024: Abstract Submission Deadline * 21 October 2024: Final Paper and Abstract Acceptance Notification * 11 November 2024: Accepted Paper and Abstract Registration Deadline * 13-15 December 2024: The Brain Informatics Conference Organizing Committee ++++++++++++++++++ Honorary Chairs * Lin Chen, Institute of Biophysics, Chinese Academy of Sciences (CAS), China * Suvit Saetia, President, King Mongkut's University of Technology Thonburi (KMUTT), Thailand General Chairs * Sirawaj Itthipuripat, KMUTT, Thailand * Giorgio Ascoli, George Mason University, USA * Anan Li, Huazhong University of Science and Technology, China Program Chairs * Nirun Pat, University of Otago, New Zealand * Claudio Angione, Teesside University, UK * Chaipat Chunharas, Chulalongkorn University, Thailand * Liya Ding, University of Chicago, USA * Peipeng Liang, CNU School of Psychology, China * Hieu Pham, VinUniversity, Vietnam Poster Session Chairs * Nguyen The Hoang Anh, Vietnam Academy of Science and Technology, Vietnam * Itthi Chatnuntawech, National Nanotechnology Center, Thailand * Tai Chaiamarit, Mahidol University, Thailand * Ioannis Pappas, University of Southern California, USA Workshop/Special Session Chairs * Lalitta Suriya-Arunroj, Chulalongkorn University, Thailand * Sittiprapa Isarangura, Mahidol University, Thailand * Yufeng Liu, Southeast University, China * Stephanie Nelli, Occidental College, USA * Nuttida Rungratsameetaweemana, Columbia University, USA * Shuqiang Wang, Shenzhen Institute of Advanced Technology, CAS, China Tutorial Chairs * Xiaofu He, Columbia University, USA * Thitaporn Chaisilprungraung, KMUTT, Thailand * Thiparat Chotibut, Chulalongkorn University, Thailand Financial Chair * Vajirasak Vanijja, KMUTT, Thailand Local Organizing Chairs * Duanghathai Wiwatratana, KMUTT, Thailand * Singh Intrachooto, Research and Innovation Sustainability Center, Thailand * Kanda Lertladaluck, KMUTT, Thailand * Kajornvut Ounjia, KMUTT, Thailand * Sarigga Pongsuwan, Research and Innovation Sustainability Center, Thailand * Kejkeaw Thanasuan, KMUTT, Thailand Publicity Chairs * Titipat Achakulvisut, Mahidol University, Thailand * Hongzhi Kuai, Maebashi Institute of Technology, Japan * Annalisa Occhipinti, Teesside University, UK Publication Chair * Hongzhi Kuai, Maebashi Institute of Technology, Japan Advisory Board ** Chair: Ning Zhong, Maebashi Institute of Technology, Japan * Jonathan Chan, KMUTT, Thailand * Tianzi Jiang, Institute of Automation, CAS, China * Nikola Kasabov, Auckland University of Technology, New Zealand * Hesheng Liu, MGH, Harvard Medical School, USA * Guoming Luan, Sanbo Brain Hospital, China * Mufti Mahmud, Nottingham Trent University, UK * Hanchuan Peng, SEU-Allen Institute for Brain & Intelligence, China * Stefano Panzeri, University Medical Center Hamburg-Eppendorf, Germany * Shinsuke Shimojo, California Institute of Technology, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Wed Sep 4 08:10:16 2024 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Wed, 4 Sep 2024 21:10:16 +0900 Subject: Connectionists: CfPs: Brain Informatics 2024 Message-ID: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 17th International Conference on Brain Informatics (BI'24) December 13-15, 2024 | Bangkok, Thailand The key theme: Brain Science meets Artificial Intelligence A hybrid conference with both online and offline modes History of BI: www.youtube.com/watch?v=Y2s78IIN-CQ Conference homepage: wi-consortium.org/conferences/bi2024/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Main Conference Paper Submission System: * 20 September 2024: Full Paper Submission Deadline https://wi-lab.com/cyberchair/2024/bi24/scripts/submit.php?subarea=B Workshop Paper Submission System: https://wi-consortium.org/conferences/bi2024/workshops%20special%20sessions.html Registration System: https://wi-consortium.sit.kmutt.ac.th/register/ Keynote Speakers: * Professor Kenji Doya Okinawa Institute of Science and Technology (OIST) Graduate University, Japan TITLE: Brain/MINDS 2.0 and the Digital Brain Project * Professor Hanchuan Peng SEU-ALLEN Joint Center, Southeast University, China TITLE: Toward Building a Whole Brain Connectome at Single Neuron Resolution * Professor Allison Sekuler McMaster University & University of Toronto, Canada TITLE: To be Confirmed. * Professor Ramesh Srinivasan University of California, Irvine, USA TITLE: Graphical Modeling of Brain Networks * Professor Lucina Q. Uddin University of California Los Angeles, USA TITLE: Brain Dynamics and Flexible Behaviors More to be confirmed. Sponsored By: IEEE Computer Society Technical Committee on Intelligent Informatics (TCII: https://www.computer.org/communities/technical-committees/tcii) Web Intelligence Consortium (WIC: https://wi-consortium.org/) King Mongkut's University of Technology Thonburi, Thailand (KMUTT: https://www.kmutt.ac.th/en/) Asia-Pacific Neural Network Society (APNNS) IEEE-CIS Brain Informatics Task Force IEEE-CIS Thailand Chapter Springer Nature ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 17th International Conference on Brain Informatics (BI'24) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'24 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High-quality BI conference papers may be nominated to submit an extended version for a fast-track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. *** Paper Submission and Publications *** 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines). Overlength pages will be charged 100$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full-length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain). Abstract Submission (Only for Workshops/Special Sessions): Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'24 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 20 September 2024: Full Paper Submission Deadline * 20 September 2024: Abstract Submission Deadline * 21 October 2024: Final Paper and Abstract Acceptance Notification * 11 November 2024: Accepted Paper and Abstract Registration Deadline * 13-15 December 2024: The Brain Informatics Conference Organizing Committee ++++++++++++++++++ Honorary Chairs * Lin Chen, Institute of Biophysics, Chinese Academy of Sciences (CAS), China * Suvit Saetia, President, King Mongkut's University of Technology Thonburi (KMUTT), Thailand General Chairs * Sirawaj Itthipuripat, KMUTT, Thailand * Giorgio Ascoli, George Mason University, USA * Anan Li, Huazhong University of Science and Technology, China Program Chairs * Nirun Pat, University of Otago, New Zealand * Claudio Angione, Teesside University, UK * Chaipat Chunharas, Chulalongkorn University, Thailand * Liya Ding, University of Chicago, USA * Peipeng Liang, CNU School of Psychology, China * Hieu Pham, VinUniversity, Vietnam Poster Session Chairs * Nguyen The Hoang Anh, Vietnam Academy of Science and Technology, Vietnam * Itthi Chatnuntawech, National Nanotechnology Center, Thailand * Tai Chaiamarit, Mahidol University, Thailand * Ioannis Pappas, University of Southern California, USA Workshop/Special Session Chairs * Lalitta Suriya-Arunroj, Chulalongkorn University, Thailand * Sittiprapa Isarangura, Mahidol University, Thailand * Yufeng Liu, Southeast University, China * Stephanie Nelli, Occidental College, USA * Nuttida Rungratsameetaweemana, Columbia University, USA * Shuqiang Wang, Shenzhen Institute of Advanced Technology, CAS, China Tutorial Chairs * Xiaofu He, Columbia University, USA * Thitaporn Chaisilprungraung, KMUTT, Thailand * Thiparat Chotibut, Chulalongkorn University, Thailand Financial Chair * Vajirasak Vanijja, KMUTT, Thailand Local Organizing Chairs * Duanghathai Wiwatratana, KMUTT, Thailand * Singh Intrachooto, Research and Innovation Sustainability Center, Thailand * Kanda Lertladaluck, KMUTT, Thailand * Kajornvut Ounjia, KMUTT, Thailand * Sarigga Pongsuwan, Research and Innovation Sustainability Center, Thailand * Kejkeaw Thanasuan, KMUTT, Thailand Publicity Chairs * Titipat Achakulvisut, Mahidol University, Thailand * Hongzhi Kuai, Maebashi Institute of Technology, Japan * Annalisa Occhipinti, Teesside University, UK Publication Chair * Hongzhi Kuai, Maebashi Institute of Technology, Japan Advisory Board ** Chair: Ning Zhong, Maebashi Institute of Technology, Japan * Jonathan Chan, KMUTT, Thailand * Tianzi Jiang, Institute of Automation, CAS, China * Nikola Kasabov, Auckland University of Technology, New Zealand * Hesheng Liu, MGH, Harvard Medical School, USA * Guoming Luan, Sanbo Brain Hospital, China * Mufti Mahmud, Nottingham Trent University, UK * Hanchuan Peng, SEU-Allen Institute for Brain & Intelligence, China * Stefano Panzeri, University Medical Center Hamburg-Eppendorf, Germany * Shinsuke Shimojo, California Institute of Technology, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.communication at fz-juelich.de Wed Sep 4 08:29:27 2024 From: bernstein.communication at fz-juelich.de (Alexander Lammers) Date: Wed, 4 Sep 2024 14:29:27 +0200 Subject: Connectionists: Bernstein Conference 2024 - Registration Deadline Approaching In-Reply-To: <49bf67fb-eea1-49e3-8616-50985b87319e@fz-juelich.de> References: <49bf67fb-eea1-49e3-8616-50985b87319e@fz-juelich.de> Message-ID: The registration deadline for the Bernstein Conference 2024 is approaching! Register by September 11, 2024! Registration: https://bernstein-network.de/bernstein-conference/registration/ ____ 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. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 ? Oct 2, 2024 * Satellite Workshops: Sep 29 ? Sep 30, 2024 * Main Conference: Sep 30 ? Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Sup?rieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of T?bingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universit?t zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor M?ynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum J?lich GmbH 52425 J?lich Sitz der Gesellschaft: J?lich Eingetragen im Handelsregister des Amtsgerichts D?ren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Gesch?ftsf?hrung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From yuranny.cabral-calderin at ae.mpg.de Wed Sep 4 08:03:23 2024 From: yuranny.cabral-calderin at ae.mpg.de (Cabral-Calderin, Yuranny) Date: Wed, 4 Sep 2024 12:03:23 +0000 Subject: Connectionists: NCCLab talks- John-Dylan Haynes - What does(n)'t neuroscience tell us about free will? -- ONLY ONLINE Message-ID: Dear Colleagues, Unfortunately, due to unforeseen circumstances, the talk by John-Dylan Haynes scheduled for tomorrow, Thursday, 05 September 2024, at 15:00 CEST, will now take place ONLY ONLINE. The in-person option has been canceled. You are still welcome to join us via Zoom at https://tinyurl.com/NCCLAB-JOHN-DYLAN-HAYNES Best regards, Yuranny Dr. Yuranny Cabral-Calderin Postdoctoral researcher RG Neural Circuits, Consciousness, and Cognition Max Planck Institute for Empirical Aesthetics Gr?neburgweg 14 60322 Frankfurt am Main Germany T +49 69 8300479-831 yuranny.cabral-calderin at ae.mpg.de ae.mpg.de https://www.yurannycabral-calderin.com/ Von: "Cabral-Calderin, Yuranny" Datum: Mittwoch, 28. August 2024 um 09:30 An: "Cabral-Calderin, Yuranny" Betreff: Re: NCCLab talks- John-Dylan Haynes - What does(n)'t neuroscience tell us about free will? (Thursday, 05 September 2024, 15:00, CEST) Dear colleagues, We are happy to invite you to join us for the upcoming talk: What does(n)'t neuroscience tell us about free will? By John-Dylan Haynes, Charit? - Universit?tsmedizin Berlin September 5th at 15:00 (CEST) The talk is part of our lecture series, NCClab talks, hosted by the research group Neural Circuits, Consciousness, and Cognition Lab at the Max Planck Institute for Empirical Aesthetics. This is a hybrid event. You are welcome to join us in person at the Max Planck Institute for Empirical Aesthetics in Frankfurt or over Zoom (https://tinyurl.com/NCCLAB-JOHN-DYLAN-HAYNES). The recording will be made publicly available shortly after on our YouTube channel. More information about the talk can be found in the attached flyer. To receive information about upcoming talks in the series, you can visit our website or register here. Best wishes, Yuranny (host and organizer) Dr. Yuranny Cabral-Calderin Postdoctoral researcher RG Neural Circuits, Consciousness, and Cognition Max Planck Institute for Empirical Aesthetics Gr?neburgweg 14 60322 Frankfurt am Main Germany T +49 69 8300479-831 yuranny.cabral-calderin at ae.mpg.de ae.mpg.de https://www.yurannycabral-calderin.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From emergingtechnetwork.publicity at gmail.com Wed Sep 4 11:09:56 2024 From: emergingtechnetwork.publicity at gmail.com (Gizem Varkonyi) Date: Wed, 4 Sep 2024 18:09:56 +0300 Subject: Connectionists: GenAISE CFP (Hybrid Conference Co-Sponsored by IEEE ): Workshop on Advances of GenAI in Software Engineering, 26-29 November, 2024 | Dubai, UAE Message-ID: [Apologies if you got multiple copies of this invitation] The International Workshop on Advances of GenAI in Software Engineering ( GenAISE 2024) Co-Located with The 2nd International Conference on Foundation and Large Language Models (FLLM2024) https://fllm2024.fllm-conference.org/Workshops/GenAISE2024/ 26-29 November, 2024 | Dubai, UAE Technically Co-Sponsored by IEEE UAE Section *GenAISE 2024 CFP:* A wave of recent research efforts demonstrates promising potential of Large Language Models (LLMs) in solving a wide range of software engineering tasks such as code completion, unit test generation, code comprehension, bug detection and repair, code review, and many more. The first workshop on advances of GenAI in Software Engineering (GenAISE 2024) aims to establish a forum for researchers to present and discuss recent advances in GenAI and their applications in Software Engineering and implications in industry and education. The GenAISE 2024 workshop addresses the use of advanced LLMs for software engineering, and the challenges, approaches, and future directions. We invite the submission of original papers on all related topics related to GenAISE, with special interest in but not limited to: - Applications of LLMs in the software development lifecycle - Prompt Engineering - Automated bug detection, localization, and repair with LLMs - LLMs for software documentation and code comprehension - Reliability of LLMs generated code - Software security and vulnerability concerns - Ethical considerations and biases in LLMs applied to software engineering. - Integration of LLMs in software engineering tools and frameworks - LLM-based approaches for software testing and quality assurance - Implications on computer programing education and computer science curriculum - Fine tuning - Implications on the software engineering role in the industry *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 6 to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLLM Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. *Important Dates:* - *Paper submission deadline: * *September 10, 2024* - Notification of acceptance: October 5, 2024 - Camera-ready Submission: October 20, 2024 *Contact:* Please send any inquiry to: Safwan Omari ( omarisa at lewisu.edu) -------------- next part -------------- An HTML attachment was scrubbed... URL: From vittorio.cuculo at unimore.it Wed Sep 4 17:07:11 2024 From: vittorio.cuculo at unimore.it (Vittorio Cuculo) Date: Wed, 4 Sep 2024 23:07:11 +0200 Subject: Connectionists: [CFP] [GMLR @ ACM SAC 2025] Technical track on Graph Models for Learning and Recognition Message-ID: <8cdc012f-2175-455b-9720-2a420b89e76c@unimore.it> [We apologize for multiple copies] Call for Papers *Graph Models for Learning and Recognition (GMLR) Track* The 40th ACM Symposium on Applied Computing (SAC 2025) March 31 - April 4, 2025 Catania, Italy https://phuselab.di.unimi.it/GMLR2025/ *Important Dates* * Submission of regular papers and SRC abstracts: *September 20, 2024* * Notification of papers/SRC acceptance/rejection: *October 30, 2024* * Camera-ready copies of accepted papers/SRC: *November 29, 2024* * Author registration due date: December 6, 2024 *Motivations and topics* The ACM Symposium on Applied Computing (SAC 2025) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers,?and application developers from around the world. SAC 2025 is sponsored by the?ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Catania, Italy. The technical track on Graph Models for Learning and?Recognition (GMLR) is the fourth edition and is organized within SAC 2025. Graphs have gained a lot of attention in the pattern recognition community?thanks to their ability to encode both topological and semantic information.?Despite their invaluable descriptive power, their arbitrarily complex?structured nature poses serious challenges when they are involved in learning?systems. Some (but not all) of challenging concerns are: a non-unique?representation of data, heterogeneous attributes (symbolic, numeric, etc.),?and so on. In recent years, due to their widespread applications, graph-based learning?algorithms have gained much research interest. Encouraged by the success of?CNNs, a wide variety of methods have redefined the notion of convolution and?related operations on graphs. These new approaches have in general enabled? effective training and achieved in many cases better performances than?competitors, though at the detriment of computational costs.?Typical examples of applications dealing? with graph-based representation are:?scene graph generation, point clouds classification, and action recognition in?computer vision; text classification, inter-relations of documents or words to?infer document labels in natural language processing; forecasting traffic?speed, volume or the density of roads in traffic networks, whereas in?chemistry researchers apply graph-based algorithms to study the graph?structure of molecules/compounds. This track intends to focus on all aspects of graph-based representations and?models for learning and recognition tasks. GMLR spans, but is not limited to,?the following topics: * Graph Neural Networks: theory and applications * Deep learning on graphs * Graph or knowledge representational learning * Graphs in pattern recognition * Graph databases and linked data in AI * Benchmarks for GNN * Dynamic, spatial and temporal graphs * Graph methods in computer vision * Human behavior and scene understanding * Social networks analysis * Data fusion methods in GNN * Efficient and parallel computation for graph learning algorithms * Reasoning over knowledge-graphs * Interactivity, explainability and trust in graph-based learning * Probabilistic graphical models * Biomedical data analytics on graphs ** ** **Submission Guidelines** * Authors are invited to submit original and unpublished papers of research and applications for this track. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review. Please, visit the website for more information about submission. *SAC No-Show Policy* Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. * *Track Chairs* * Vittorio Cuculo (University of Modena e Reggio Emilia) * Alessandro D'Amelio (University of Milan) * Giuliano Grossi (University of Milan) * Raffaella Lanzarotti (University of Milan) * Jianyi Lin (Universit? Cattolica del Sacro Cuore) ** ** -- Vittorio Cuculo Assistant Professor (RTD-A) AImageLab - Dipartimento di Ingegneria "Enzo Ferrari" Universit? degli Studi di Modena e Reggio Emilia via Vivarelli 10, Modena, 41125, Italy phone +390592056289 -------------- next part -------------- An HTML attachment was scrubbed... URL: From davidjrohde at gmail.com Thu Sep 5 02:41:02 2024 From: davidjrohde at gmail.com (david rohde) Date: Thu, 5 Sep 2024 08:41:02 +0200 Subject: Connectionists: AI in Industry and Academia Conversations Message-ID: We are pleased to announce that we will be launching a new podcast series: AI in Industry and Academia Conversations , which will cover AI, trends in industry and academia, and connections to Bayesian statistics. You can also join our mailing list , or follow us on X , for updates. Upcoming: *September 19 2024 - Emmanuel Maggiori - Is AI Smart Until It?s Dumb? * *September 26 2024 - Nicolas Chopin - Bayesian Computation in the AI Era* *October 3 2024 - Dawen Liang - Recommendation, Bayes and LLMs at Netflix * *October 10 2024 - Flavian Vasile - Deep Learning in Production for Recommendation * *October 24 2024 - (Talk) David Rohde - Why the Shooting in the Dark Method Dominates Recommender Systems Practice? * -------------- next part -------------- An HTML attachment was scrubbed... URL: From michal.ptaszynski at gmail.com Thu Sep 5 03:35:41 2024 From: michal.ptaszynski at gmail.com (Ptaszynski Michal) Date: Thu, 5 Sep 2024 16:35:41 +0900 Subject: Connectionists: [CfP] Information Processing & Management (Impact Factor: 7.4)Special Issue on "Causal Reasoning in Language Models" Message-ID: Dear Colleagues, ** Apologies for cross-posting ** This is Michal Ptaszynski from Kitami Institute of Technology, Japan. We are accepting papers for the Information Processing & Management (IP&M) (IF: 7.4) journal Special Issue on "Causal Reasoning in Language Models". The submission closes on March 31, 2025, but your paper will be reviewed immediately after submission and will be published as soon as it is accepted. We hope you will consider submitting your paper. https://www.sciencedirect.com/journal/information-processing-and-management/about/call-for-papers#causal-reasoning-in-language-models Best regards, Michal PTASZYNSKI, Ph.D., Associate Professor Text Information Processing Laboratory Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal at mail.kitami-it.ac.jp ============================================ Journal: Information Processing & Management (Impact Factor: 7.4) Special Issue on "Causal Reasoning in Language Models" Guest Editors: - Michal Ptaszynski (Kitami Institute of Technology), michal at mail.kitami-it.ac.jp - Rafal Rzepka (Hokkaido University) - Rafal Urbaniak (University of Ghent) Introduction: Causal reasoning is a fundamental cognitive ability that allows humans to understand the cause-and-effect relationships in the world around them. Integrating causal reasoning capabilities into language models has emerged as a promising research direction, with significant implications for natural language processing (NLP) and artificial intelligence (AI) applications. The special issue on "Causal Reasoning in Language Models" aims to provide a platform for researchers to explore the latest advancements and challenges in this burgeoning field. Topics of Interest: We invite submissions on a wide range of topics related to causal reasoning in language models, including but not limited to: - Causal inference techniques in natural language processing - Evaluating causal understanding in large language models - Causal representations in transformer architectures - Counterfactual reasoning capabilities of language models - Causal discovery from unstructured text data - Incorporating causal knowledge into language model pre-training - Causal explanation generation using language models - Bias and fairness in causal language modeling - Causal reasoning for improved few-shot and zero-shot learning - Temporal and event causal reasoning in language models - Theoretical frameworks for representing causal knowledge in language models - Methodologies for incorporating causal reasoning into NLP tasks, such as text generation, question answering, and summarization - Evaluation metrics and benchmarks for assessing the performance of causal reasoning models in language understanding tasks - Applications of causal reasoning in real-world scenarios, including healthcare, finance, social media analysis, and more - Ethical considerations and societal implications of integrating causal reasoning into AI systems - Interdisciplinary approaches that combine insights from linguistics, cognitive science, and computer science to advance causal reasoning in language models Submission Guidelines: Papers submitted to this special issue must adhere to the submission guidelines of Information Processing & Management. Manuscripts should be original, unpublished works not currently under review elsewhere. All submissions will undergo a rigorous peer review process to ensure high quality and relevance to the special issue. Important Dates: - Submission opens: 2024-7-31 - Submission closes: 2025-3-31 Submission Instructions: Submit your manuscript to the Special Issue category (VSI: CAUSAL LLMs) through the online submission system of Information Processing & Management (https://www.editorialmanager.com/ipm/default.aspx). All the submissions should follow the general author guidelines of Information Processing & Management (https://www.sciencedirect.com/journal/information-processing-and-management). For any inquiries or further information, please contact the Managing Guest Editor at michal at mail.kitami-it.ac.jp. Conclusion: We encourage researchers from academia and industry to contribute their latest findings and innovations to this special issue. By bringing together a collection of high-quality papers on causal reasoning in language models, we aim to advance the state of the art in NLP, foster interdisciplinary collaborations, and pave the way for future developments in AI. We look forward to your contributions. Sincerely, Michal Ptaszynski, in the name of all Guest Editors ============================================ From yuranny.cabral-calderin at ae.mpg.de Thu Sep 5 06:37:40 2024 From: yuranny.cabral-calderin at ae.mpg.de (Cabral-Calderin, Yuranny) Date: Thu, 5 Sep 2024 10:37:40 +0000 Subject: Connectionists: NCCLab talks- John-Dylan Haynes - What does(n)'t neuroscience tell us about free will? -- CANCELED Message-ID: <618E5BFE-49D6-4018-8379-0F54775AB3E1@ae.mpg.de> Dear colleagues, I regret to inform you that the talk scheduled for today with Prof. John-Dylan-Haynes has been canceled. We apologize for any inconvenience this may cause. Kind regards, Yuranny Dr. Yuranny Cabral-Calderin Postdoctoral researcher RG Neural Circuits, Consciousness, and Cognition Max Planck Institute for Empirical Aesthetics Gr?neburgweg 14 60322 Frankfurt am Main Germany T +49 69 8300479-831 yuranny.cabral-calderin at ae.mpg.de ae.mpg.de https://www.yurannycabral-calderin.com/ Von: "Cabral-Calderin, Yuranny" Datum: Mittwoch, 4. September 2024 um 14:03 An: "Cabral-Calderin, Yuranny" Betreff: Re: NCCLab talks- John-Dylan Haynes - What does(n)'t neuroscience tell us about free will? -- ONLY ONLINE Dear Colleagues, Unfortunately, due to unforeseen circumstances, the talk by John-Dylan Haynes scheduled for tomorrow, Thursday, 05 September 2024, at 15:00 CEST, will now take place ONLY ONLINE. The in-person option has been canceled. You are still welcome to join us via Zoom at https://tinyurl.com/NCCLAB-JOHN-DYLAN-HAYNES Best regards, Yuranny Dr. Yuranny Cabral-Calderin Postdoctoral researcher RG Neural Circuits, Consciousness, and Cognition Max Planck Institute for Empirical Aesthetics Gr?neburgweg 14 60322 Frankfurt am Main Germany T +49 69 8300479-831 yuranny.cabral-calderin at ae.mpg.de ae.mpg.de https://www.yurannycabral-calderin.com/ Von: "Cabral-Calderin, Yuranny" Datum: Mittwoch, 28. August 2024 um 09:30 An: "Cabral-Calderin, Yuranny" Betreff: Re: NCCLab talks- John-Dylan Haynes - What does(n)'t neuroscience tell us about free will? (Thursday, 05 September 2024, 15:00, CEST) Dear colleagues, We are happy to invite you to join us for the upcoming talk: What does(n)'t neuroscience tell us about free will? By John-Dylan Haynes, Charit? - Universit?tsmedizin Berlin September 5th at 15:00 (CEST) The talk is part of our lecture series, NCClab talks, hosted by the research group Neural Circuits, Consciousness, and Cognition Lab at the Max Planck Institute for Empirical Aesthetics. This is a hybrid event. You are welcome to join us in person at the Max Planck Institute for Empirical Aesthetics in Frankfurt or over Zoom (https://tinyurl.com/NCCLAB-JOHN-DYLAN-HAYNES). The recording will be made publicly available shortly after on our YouTube channel. More information about the talk can be found in the attached flyer. To receive information about upcoming talks in the series, you can visit our website or register here. Best wishes, Yuranny (host and organizer) Dr. Yuranny Cabral-Calderin Postdoctoral researcher RG Neural Circuits, Consciousness, and Cognition Max Planck Institute for Empirical Aesthetics Gr?neburgweg 14 60322 Frankfurt am Main Germany T +49 69 8300479-831 yuranny.cabral-calderin at ae.mpg.de ae.mpg.de https://www.yurannycabral-calderin.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From simone.azeglio at gmail.com Thu Sep 5 09:34:47 2024 From: simone.azeglio at gmail.com (Simone Azeglio) Date: Thu, 5 Sep 2024 15:34:47 +0200 Subject: Connectionists: Call for Papers NeurIPS Workshop on Symmetry, Geometry and Neural Representations (NeurReps) Message-ID: Dear Colleagues, We are pleased to announce the call for papers for the NeurReps Workshop on Symmetry and Geometry in Neural Representations (www.neurreps.org) The workshop invites submissions contributing novel research incorporating symmetry, geometry, or topology into the design of artificial neural networks, the analysis of neural data, or theories of neural computation. Key Details: - Submission Deadline: September 13, 2024 11:59 PM AoE - Author Notification: October 9, 2024 11:59 PM AoE - Two submission tracks: 1. Proceedings Track (up to 9 pages, to be published in PMLR) 2. Extended Abstract Track (up to 4 pages) Themes of particular interest include: - Theory and methods for learning invariant and equivariant representations - Statistical learning theory in the context of topology, geometry, and symmetry - Representational geometry in neural data - Equivariant world models for robotics - Topological deep learning and topological data analysis - Geometric structure in language - Symmetries, dynamical systems, and learning We welcome both theoretical contributions and applied results in domains such as vision, motor control, navigation, and language. For full details on the call for papers, submission instructions, and LaTeX templates, please visit: https://www.neurreps.org/call-for-papers If you have any questions, please contact organizers at neurreps.org. We look forward to your submissions! Best regards, Simone Azeglio & NeurReps Workshop Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From mdipoppa at g.ucla.edu Thu Sep 5 23:35:13 2024 From: mdipoppa at g.ucla.edu (MARIO DIPOPPA) Date: Thu, 5 Sep 2024 20:35:13 -0700 Subject: Connectionists: Open-rank Faculty Position in Computational and Behavioral Neuroscience in the UCLA Department of Psychology Message-ID: Dear Colleagues, The UCLA Department of Psychology is hiring a full-time, tenure-track, or tenured faculty position at the rank of Assistant Professor, Associate Professor, or Professor specializing in computational neuroscience and the use of advanced mathematical methods and theoretical approaches to understand behavior and brain processes. The application deadline is October 31, 2024. Please find the online ad at this link: https://recruit.apo.ucla.edu/JPF09740. Potential applicants with questions about how their specialization aligns with the position can inquire to Prof. Kate Wassum, search committee chair, at SearchCommittee at psych.ucla.edu. ==== Mario Dipoppa, PhD Assistant Professor University of California, Los Angeles Department of Neurobiology David Geffen School of Medicine -------------- next part -------------- An HTML attachment was scrubbed... URL: From dayan at tue.mpg.de Thu Sep 5 17:59:32 2024 From: dayan at tue.mpg.de (Peter Dayan) Date: Thu, 5 Sep 2024 23:59:32 +0200 Subject: Connectionists: RS meeting on beyond symbols and signals Message-ID: <20240905215932.v2ywpt26gdeg64gh@tuebingen.mpg.de> Royal Society Discussion Meeting entitled Beyond the Symbols vs Signals Debate, which will take place on 28-29th October 2024 at the Royal Society in London: https://royalsociety.org/science-events-and-lectures/2024/10/symbols-vs-signals/ There will be a poster session on Monday 28 October 2024. Attendees can apply at the above link by 17th September 2024 to present a poster. Building artificial intelligence systems that can emulate human intelligence will need to draw on the complementary strengths of machine learning and compositional reasoning, and take advantage of symbolic knowledge as well as raw signals. This meeting aims to advance our scientific understanding of how human learning, reasoning and cognition can be brought to bear on the engineering foundations of AI. The rapid progress of artificial intelligence in the past decade is founded on deep learning, which excels at learning statistical patterns from raw signal data. Neural networks are loosely based on neural processes in the brain but the way they learn, requiring large amounts of training data and relying on parameter optimisation via gradient descent, is unlike the way the human brain learns, with humans being able to learn effectively from few examples and utilise prior knowledge in a flexible and adaptive manner. Conventional symbolic reasoning founded on logic, on the other hand, has the advantage of being able to reason compositionally, with robustness and rigorous guarantees, but is often not compatible with raw data and lacks scalability. The complementarity of the two approaches has long been recognised, leading to scientific debates about their respective strengths and weaknesses that featured under multiple guises: signals vs symbols, neural vs symbolic, and statistical vs reasoning. Elements of this debate also appear in the psychological literature on dual systems, such as the notion of ?System 1? and ?System 2? popularised by Kahneman. Aspects that are actively discussed in the AI community include whether either approach is enough on its own to emulate human intelligence, and, if not, how they can be combined to the best of their advantage. At the same time, emerging developments in experimental neuroscience and progress in computational modelling of human cognition offer valuable new perspectives on engineered AI systems. We believe the time is ripe to move beyond the signals vs symbols debate and, building on the tremendous success of deep learning and recent advances in experimental and computational cognitive science, address fundamental questions about the computational nature of human intelligence that can, in turn, provide sound scientific foundations for methodologies and software technologies that are capable of engineering human-like AI. Several distinguished speakers from across the scientific spectrum have agreed to present their views to stimulate the discussions. This meeting is free to attend and is intended for researchers in relevant fields. Advance registration is essential. In-person and online attendance is available. We hope to see you in London! Marta Kwiatkowska FRS, University of Oxford Doina Precup, McGill and Google Peter Dayan, Max Planck Institute for Biological Cybernetics Tom Griffiths, Princeton University -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/x-pkcs7-signature Size: 5505 bytes Desc: not available URL: From taro.toyoizumi at riken.jp Thu Sep 5 22:35:54 2024 From: taro.toyoizumi at riken.jp (Taro Toyoizumi) Date: Fri, 6 Sep 2024 02:35:54 +0000 Subject: Connectionists: OPEN FACULTY POSITIONS, RIKEN Center for Brain Science, Japan Message-ID: OPEN FACULTY POSITIONS (Brain science in general) https://cbs.riken.jp/career-brain-science-2024/index.html The RIKEN Center for Brain Science (CBS) was launched in April 2018 following the strong 20-year foundation of its predecessor, the Brain Science Institute (BSI). CBS aims to meet society?s ever-growing expectations for brain research. (For the four main goals of CBS, please visit, https://cbs.riken.jp/en/about/ ) We are currently seeking outstanding neuroscientists for Team Leader positions (junior principal investigators). However, applications from internationally established neuroscientists may be considered. To promote diversity, a strength of CBS, we proactively recruit women when the candidate's research skills are deemed equal. At RIKEN CBS, Team Leaders have full intellectual independence, generous internal funds including a highly competitive start-up package and access to ample communal facilities in a collaborative environment. Successful candidates for the Team Leader position must have demonstrated the ability to develop an original, independent and internationally competitive research program. We encourage applications from all disciplines of neuroscience, particularly in (1) research areas of neurological/psychiatric disorders and (2) theoretical and computational neuroscience. Successful candidates will hold a research management position, and as the head of a laboratory, they will provide leadership and guidance to laboratory members to conduct research. For details, please refer to the following website. https://cbs.riken.jp/en/careers/20240904_w24139_pi.html Application and letters of recommendation must arrive by 5 pm on November 15, 2024 (JST). Applicants should submit electronic files of a cover letter with a brief summary of their research program and future plans, curriculum vitae, list of research achievements and publications, list of acquired research funding, current research and achievements to date, future research plans, and reprints of five major publications maximum, through the application form. Three letters of recommendation must be directly submitted from the referees. Please see the website above for more details. --- Taro Toyoizumi, PhD Team Leader RIKEN Center for Brain Science https://toyoizumilab.riken.jp/taro/ From udnn.ht at tu-dortmund.de Fri Sep 6 03:12:32 2024 From: udnn.ht at tu-dortmund.de (HT, UDNN) Date: Fri, 6 Sep 2024 07:12:32 +0000 Subject: Connectionists: Lecture Series Philosophy of Science and Machine Learning Message-ID: <134db878370e46d89ebff43ab73317c0@tu-dortmund.de> In an age where artificial intelligence (AI) is transforming science, it becomes increasingly important to reflect critically on the foundations, methodologies, and implications of these advancements. This lecture series will investigate fundamental issues in AI from the vantage point of philosophy of science, which includes topics such as the transparency and interpretability of AI within scientific research, as well as the impact of AI on scientific understanding and explanation. The talks will be held on Thursdays at 4:15 PM. Speakers: 17.10.24 Andr? Curtis-Trudel ? "On finding what you?re (not) looking for: prospects and challenges for AI-driven discovery" 28.11.24 Tim R?z ? "The Concept of Memorization in Machine Learning? 12.12.24 Stefan Buijsman ? TBA 23.01.25 Nina Poth ? "Common Sense and the Limits of AI? This lecture series is a special edition of the AI Colloquium at TU Dortmund University, co-organized by the Lamarr Institute for Machine Learning and Artificial Intelligence, the Research Center Trustworthy Data Science and Security (RC Trust), and the Center for Data Science & Simulation at TU Dortmund University (DoDas). The Lecture Series is organized by the Emmy Noether Group "UDNN: Scientific Understanding and Deep Neural Networks?. Participation is free, but places are limited. If you are interested in participating online, please register via the following form: https://forms.microsoft.com/r/W3whw0ac3B. If you would like to attend in person, please send an e-mail to udnn.ht at tu-dortmund.de. We look forward to your participation and insightful discussions. Kind regards, The UDNN team (https://udnn.tu-dortmund.de/) Wichtiger Hinweis: Die Information in dieser E-Mail ist vertraulich. Sie ist ausschlie?lich f?r den Adressaten bestimmt. Sollten Sie nicht der f?r diese E-Mail bestimmte Adressat sein, unterrichten Sie bitte den Absender und vernichten Sie diese Mail. Vielen Dank. Unbeschadet der Korrespondenz per E-Mail, sind unsere Erkl?rungen ausschlie?lich final rechtsverbindlich, wenn sie in herk?mmlicher Schriftform (mit eigenh?ndiger Unterschrift) oder durch ?bermittlung eines solchen Schriftst?cks per Telefax erfolgen. Important note: The information included in this e-mail is confidential. It is solely intended for the recipient. If you are not the intended recipient of this e-mail please contact the sender and delete this message. Thank you. Without prejudice of e-mail correspondence, our statements are only legally binding when they are made in the conventional written form (with personal signature) or when such documents are sent by fax. -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Fri Sep 6 10:26:05 2024 From: suashdeb at gmail.com (Suash Deb) Date: Fri, 6 Sep 2024 19:56:05 +0530 Subject: Connectionists: ISCMI24 - Final extension of deadline Message-ID: Dear Friends and Esteemed Colleagues, Warm greetings. Trust you are doing well. This is to share with you that on numerous requests, the deadline for submissions for ISCMI 2024, the annual flagship event of llCCl and technically co sponsored by IEEE Victorian Section and it's local CIS chapter. has been extended till 5th October, 2024 http://www.iscmi.us Pls note that this is the final deadline and no further extension will be granted for this conference. Hope this will facilitate submissions for the peers, who could not complete their manuscripts but intend to submit for ISCMI24. An updated leaflet of the conference is attached too for your reference. Will look forward to receiving more submissions from you/your peers in the coming days and with best regards, Suash Deb General Chair, ISCMI 2024 -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at incf.org Fri Sep 6 12:22:49 2024 From: info at incf.org (INCF) Date: Fri, 6 Sep 2024 18:22:49 +0200 Subject: Connectionists: You're invited to INCF Neuroinformatics Assembly 2024! Message-ID: [image: Assembly 2024 banner with keynotes.png] Join the INCF network at the INCF Neuroinformatics Assembly 2024 on Sep 23-25 at the University of Texas at Austin! This year's theme is "Brain Meets AI: Pioneering the Future of Neuroinformatics". Registration is open, with discounts for INCF members (you can sign up during the registration process)! Our keynote speakers this year are: - Elisabeth Bik (Microbiome Digest) - Timo Dickscheid (J?lich Research Center) - Hanchuan Peng (SEU-ALLEN Joint Center) - Danilo Bzdok (Mila - Quebec Artificial Intelligence Institute) - Viktor Jirsa (Institut de Neurosciences des System?s) They will cover the latest developments in the topics of FAIR neuroscience, facilitating standardization and sharing of neurophysiology data, applications of AI to neuroscience research, closing the discovery loop and digital twins, and errors and misconduct in neuroscience. We are also happy to host the panel discussion *BRAIN Initiative Informatics Perspectives: Funding and Building a Sustainable Data Ecosystem* with representatives from the NIH. The meeting is followed by 3 training courses on Sep 26-27: - Driving collaboration in neurophysiology with NWB and DANDI - Introduction to reproducible neuroimaging data processing and analysis with brainlife.io* & best practices for robust and reproducible neuroimaging meta-analysis, with Neurosynth Compose* - DataJoint pipelines for your neuroscience experiments These courses will focus on data standardization and meta-analysis in neurophysiology, incorporating both tutorial and hands-on components, with a focus on giving you the skills you need to start using these resources in your research. We at INCF hope to see you at Assembly 2024 and would very much appreciate it if you could forward the information above to your relevant networks in AI, computer and data science, and neuroscience. See you in Texas! /The INCF Team -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Assembly 2024 banner with keynotes.png Type: image/png Size: 749688 bytes Desc: not available URL: From Donald.Adjeroh at mail.wvu.edu Fri Sep 6 19:54:58 2024 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 6 Sep 2024 23:54:58 +0000 Subject: Connectionists: Call for Participation: SBP-BRiMS'2024 -- coming up very soon ... In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2024 2024 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 18-20, 2024 Will be held in hybrid mode (In-person at Gates Hillman Complex, Carnegie Mellon University 4902 Forbes Ave, Pittsburgh, PA 15213, USA) http://sbp-brims.org/ #sbpbrims Conference Registration: Registration is now open for the 2024 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Sep 18-20, 2024. Conference format is hybrid -- in person and virtual/online. You can register at the website: https://sbp-brims.org/2024/registration/ Conference Agenda: The program will be available at ... https://sbp-brims.org/2024/program/ Conference Attendance Fellowships: A limited number of fellowships are available for students and members of underrepresented groups to support participation in the conference. Please apply early as the slots are limited. For more details, visit the conference website http://sbp-brims.org/ , and check the menu for Scholarships, under "Conference Information". Key Highlights: Co-location with IDEaS Conference: SBP-BRiMS'24 is co-located with 2024 IDEaS Annual Conference (https://www.cmu.edu/ideas-social-cybersecurity/events/conference-index.html). SBP-BRiMS participants are invited to attend talks at the IDEaS conference as well. Keynote Speakers: Keynote 1 (Sept 18, 2024): Don Adjeroh, PhD Professor and Associate Chair, Lane Department of Computer Science and Electrical Engineering, West Virginia University https://directory.statler.wvu.edu/faculty-staff-directory/donald-adjeroh Keynote 2 (Sept 20, 2024): Patricia Aufderheide, PhD University Professor of Communication Studies, American University in Washington, D.C. https://www.american.edu/soc/faculty/paufder.cfm Tutorial Sessions: Several half-day sessions will be offered as part of the conference. More detailed information regarding the tutorial sessions will be posted at the conference website as soon as this becomes available. Funding Panel & Cross-fertilization Roundtables: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). SBP-BRiMS'2024 Sept 18-20| In-Person at CMU, Pittsburgh, USA and Online/virtual www.sbp-brims.org Connect with #sbpbrims on social: Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From bwyble at gmail.com Fri Sep 6 23:27:40 2024 From: bwyble at gmail.com (Brad Wyble) Date: Fri, 6 Sep 2024 23:27:40 -0400 Subject: Connectionists: Faculty position in Cognitive Psychology at Penn State University Message-ID: Dear Colleagues, The Department of Psychology at The Pennsylvania State University, University Park, PA, invites applications for a full-time Assistant or Associate Professor of Cognitive Psychology with anticipated start date of August, 2025. The application link is here Areas of specialization within cognitive psychology are open and may include (but are not limited to) such topics as cognitive control, creativity, computational approaches and modelling, motor control, language science, memory, attention, perception, and decision making. A record of collaboration is desirable for both ranks. Substantial collaboration opportunities exist within the department that align with the department?s cross-cutting research themes and across campus. Current faculty in the cognitive area are active in units including the Center for Language Sciences (http://cls.psu.edu/), the Social Life and Engineering Sciences Imaging Center (http://imaging.psu.edu/), the Center for Healthy Aging (http://healthyaging.psu.edu/), the Center for Brain, Behavior, and Cognition (http://cbbc.psu.edu/) and the Applied Research Lab ( https://www.arl.psu.edu/). Responsibilities of the Assistant or Associate Professor of Cognitive Psychology include maintaining a strong record of publications in top outlets. This position will include resident instruction at the undergraduate and graduate level and normal university service, based on the candidate?s qualifications. A Ph.D. in Psychology or related field is required by the appointment date for both ranks. Candidates for the tenure-track Assistant Professor of Cognitive Psychology position must have demonstrated ability as a researcher, scholar, and teacher in a relevant field and have evidence of growth in scholarly achievement. Duties will involve a combination of teaching, research, and service, based on the candidate?s qualifications. Candidates for the tenure-track Associate Professor of Cognitive Psychology position must have demonstrated excellence as a researcher, scholar, and teacher in a relevant field and have an established reputation in scholarly achievement. Duties will involve a combination of teaching, research, and service, based on the candidate?s qualifications. The ideal candidate will have a strong record of publications in top outlets and have a history of or potential for external funding. In addition, successful candidates must either have demonstrated a commitment to building an inclusive, equitable, and diverse campus community, or describe one or more ways they would envision doing so, given the opportunity. Review of applications will begin immediately and will continue until the position is filled. Interested candidates should submit an online application at Penn State?s Job Posting Board , and should upload the following application materials electronically: (1) a Cover letter of application, (2) Concise statements of research and teaching interests, (3) a CV and (4) three selected (re)prints. System limitations allow for a total of 5 documents (5mb per document) as part of your application. Please combine materials to meet the 5-document limit. In addition, please arrange to have three letters of recommendation sent electronically to PsychApplications at psu.edu with the subject line: ?Cognitive Psychology? Questions regarding the application process can be emailed to PsychApplications at psu.edu and questions regarding the position can be sent to the search chair: cogsearch at psu.edu. The Pennsylvania State University?is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission. Penn State offers competitive benefits to full-time employees, including medical, dental, vision, and retirement plans, in addition to 75% tuition discounts (including for a spouse and dependent children up to the age of 26) and paid holidays. Please visit?https://hr.psu.edu/benefits?for more detailed information. -- Brad Wyble (he/him) -------------- next part -------------- An HTML attachment was scrubbed... URL: From tt at cs.dal.ca Fri Sep 6 15:09:59 2024 From: tt at cs.dal.ca (Thomas Trappenberg) Date: Fri, 6 Sep 2024 16:09:59 -0300 Subject: Connectionists: Fwd: IJCNN 2025: Save the Date! In-Reply-To: References: Message-ID: Dear Colleagues, Please note the announcement of IJCNN 2025 in Rome. I think this announcement only went to INNS members, so apologies for double posting to them. This conference is a great opportunity for researchers and students to present as it is a multitrack conference, and has a wide range of topics. I also would like to encourage considering membership in INNS which is not expensive and has many benefits (besides being an awesome community). Regards, Thomas Trappenberg Professor, Faculty of Computer Science, Dalhousie University, Canada Join us in Rome, Italy from 30 June - 5 July 2025 View this email in your browser *Save the Date for IJCNN 2025* Join us for the premier AI conference! 30 June - 5 July 2025 Rome, Italy The International Joint Conference on Neural Networks, (IJCNN) is the premier international conference in the area of neural networks theory, analysis and applications. Whether you are presenting your latest work, learning from experts, or networking with peers, IJCNN 2025 promises to be an unforgettable experience that will inspire and propel the AI and neural network community forward. We look forward to welcoming you in Rome! Visit the Conference Website *Call for Papers* Papers for IJCNN 2025 will be reviewed by experts in the fields and ranked based on the criteria of originality, significance, quality, and clarity. Prospective authors are invited to submit complete papers of no more than eight (8) pages in IEEE two-column conference proceedings format. Authors should submit their papers in PDF through the online submission system, which will be available at https://2025.ijcnn.org/ . *Topics of interest include but are not limited to:* - Agent-based Systems - Artificial Life - Bioinformatics - Brain-machine Interfaces - Cognitive Models - Collective Intelligence - Computational Neuroscience - Connectomics - Data Mining - Deep Learning - Deep Neuro Fuzzy Systems - Embodied Robotics - Evolving Neural Networks - Hardware, Memristors - Hybrid Systems - Machine Learning - Machine Perception - Neural Network Applications - Neural Networks and Big Data - Neurodynamics - Neuroengineering - Neuroinformatics - Pattern Recognition - Philosophical Issues - Self-Aware Systems - Sensor Networks - Social Media - Theory on Neural Networks Visit the Conference Website *Explore Rome* While you're visiting Rome for iJCNN, immerse yourself in the city's rich history and vibrant culture. Wander through ancient landmarks like the Colosseum and the Trevi Fountain, marvel at the art in the Vatican Museums, or enjoy authentic Italian cuisine in a charming piazza. Rome offers a unique blend of past and present, making your visit unforgettable. Start planning now to experience the best of Rome while attending IJCNN 2025! *Conference Sponsor* [image: Facebook] Facebook [image: Twitter] Twitter [image: YouTube] YouTube [image: Website] Website *Copyright ? 2024 IJCNN, All rights reserved.* You are receiving this email because you have accepted to receive information on IJCNN. *Our mailing address is:* IJCNN 2720 NW 6th St Gainesville, FL 32609 Add us to your address book Want to change how you receive these emails? You can update your preferences or unsubscribe from this list . Forward to a friend -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahidullahmd at gmail.com Sat Sep 7 05:01:59 2024 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Sat, 7 Sep 2024 14:31:59 +0530 Subject: Connectionists: Applications Invited for Fully-Funded PhD Programme in Engineering at TCG CREST, Kolkata, India Message-ID: Dear Colleagues, I am currently seeking two PhD students for the January 2025 session to join my research group at TCG CREST, Kolkata. If you know any potential candidates with an MTech/ME in CSE, ECE, EE, or IT, please share this opportunity with them. Best regards, Sahid ------------------------------ Applications Invited for Fully-Funded PhD Programme in Engineering at TCG CREST, Kolkata, India We are inviting applications from highly motivated and talented individuals for our fully-funded PhD programme at the Institute for Advancing Intelligence, TCG CREST. The PhD degree will be conferred by the Academy of Scientific and Innovative Research (AcSIR), an Institute of National Importance, which recently ranked 11th in the NIRF list. Under this PhD Programme, I am particularly looking for full-time PhD students to work in one of the following areas: - Privacy and security in speech communication - Speech and audio analytics - Speech processing for healthcare applications You can check other available research areas in https://www.tcgcrest.org/iai-admission-2025/ Prerequisites (desirable): - Strong background in applied mathematics (e.g., linear algebra, probability & statistics, multivariate calculus, and optimization techniques) - Strong background in signal processing & pattern recognition - Proficiency in Python and machine learning libraries such as scikit-learn and PyTorch - Strong analytical and problem-solving skills - Excellent communication and writing skills - Ability to work independently as well as in a team - Good time management skills Optional Skills (preferred): - Prior research (and/or Master?s thesis) experience in related areas - Publications in reputable journals or conferences - Familiarity with deep learning algorithms & frameworks - Experience with speech processing toolkits such as Kaldi, SpeechBrain. - Experience with version control systems like Git Benefits: - Full funding for four years with a competitive fellowship - Opportunities to explore cutting-edge advancements in speech technology and machine learning - Extensive course works with hands-on when required - Involvement in real-world projects - Training related to career development and advancements - Travel grants for attending conferences and workshops Application Deadline: September 16, 2024 For the detailed eligibility criteria & formal application process, you may visit the following link: https://www.tcgcrest.org/iai-admission-2025/ ** For informal queries regarding the specific research topics under the listed broad area of speech processing, please feel free to reach out with your updated CV at md.sahidullah at tcgcrest.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 terry at salk.edu Sat Sep 7 11:21:17 2024 From: terry at salk.edu (Terry Sejnowski) Date: Sat, 07 Sep 2024 08:21:17 -0700 Subject: Connectionists: NEURAL COMPUTATION - September 1, 2024 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 36, Number 9 - September 1, 2024 Now available for online download: http://www.mitpressjournals.org/toc/neco/36/9 http://cognet.mit.edu/content/neural-computation ----- Neural Computation - Contents -- Volume 36, Number 9 - September 1, 2024 Articles How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field: A Computational Study Evgenia Kartsaki, Gerrit Hilgen, Evelyne Sernagor, Bruno Cessac Linear Codes for Hyperdimensional Computing Netanel Raviv The Determining Role of Covariances in Large Networks of Stochastic Neurons Vincent Painchaud, Patrick Desrosiers, Nicolas Doyon Positive Competitive Networks for Sparse Reconstruction Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo Letters Gauge-optimal Approximate Learning for Small Data Classification Problems Edoardo Vecchi, Davide Bassetti, Fabio Graziato, Luk?? Posp??il, Illia Horenko Dense Sample Deep Learning Stephen Jos? Hanson, Vivek Yadav, Catherine Hanson ----- 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 tarek.besold at googlemail.com Sun Sep 8 06:48:11 2024 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Sun, 8 Sep 2024 12:48:11 +0200 Subject: Connectionists: 18th Int. Conference on Neural-Symbolic Learning and Reasoning (NeSy): Livestream Message-ID: Dear all. >From September 9-12, NeSy 2024 (the 18th International Conference on Neural-Symbolic Learning and Reasoning) is happening in Barcelona, Spain -- see https://sites.google.com/view/nesy2024/home for details. A livestream of the spotlight talks and keynotes will be available from https://acortar.link/uzMO8c. The conference program (all times in CEST/Barcelona local time) can be found here https://sites.google.com/view/nesy2024/nesy-2024-schedule. All the best, Tarek. From mingbo.cai at gmail.com Sun Sep 8 22:24:47 2024 From: mingbo.cai at gmail.com (Mingbo Cai) Date: Sun, 8 Sep 2024 22:24:47 -0400 Subject: Connectionists: PhD positions in Cognitive and Behavioral Neuroscience at University of Miami Message-ID: The Cognitive and Behavioral Neuroscience Division at Department of Psychology, University of Miami seeks highly motivated and creative Ph.D. students in our efforts to understand the brain and mind. Applications for entry in the Fall of 2025 are now being accepted, with a deadline of December 1st. For details, including contact information, please visit https://www.psy.miami.edu/graduate/how-to-apply/index.html . The Cognitive and Behavioral Neuroscience Division at Department of Psychology, University of Miami offers a unique program of study spanning neurobiology, behavior, computational and brain imaging research on topics of emotion, mindfulness, learning and memory, mental disorders and health. A listing of faculty affiliated with the division can be found online at https://www.psy.miami.edu/research/faculty-research/index.html and below. Jennifer C. Britton (not accepting student this year) ? Anxiety, development, executive function (e.g., flexibility), emotion, empathy; behavior, virtual reality, psychophyisology, neuroimaging Mingbo Cai ? spontaneous thought, reinforcement learning, computational modeling, neuroimaging, brain-inspired AI Ekaterina Denkova - cognitive and affective processes, mindfulness training, memory and thoughts Aaron Heller ? neuroimaging, experience sampling, computational modeling, emotion, depression, anxiety Amishi Jha ? mindfulness training, attention, neuroimaging, EEG Philip M. McCabe (not accepting student this year) ? neurobiology, emotion, atherosclerosis, animal models Roger C. McIntosh ? aging, stress reactivity, inflammation, neuroimaging Jacob Miller (incoming in January 2025) ? working memory, prefrontal cortex function, neuroimaging, functional neuroanatomy, computational modeling An information session of the department will be held on Wednesday, September 18th, 5-6 PM ET. Interested applicants may register at: https://miami.zoom.us/meeting/register/tJ0sfuytrjMqG9BlxLEoPa0YRiHSDzeVZRLU#/registration [image: image.png] Mingbo Cai -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 2587432 bytes Desc: not available URL: From michel.verleysen at uclouvain.be Mon Sep 9 06:16:30 2024 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Mon, 9 Sep 2024 10:16:30 +0000 Subject: Connectionists: 1st CFP - ESANN 2025 Message-ID: ESANN 2025 - 33rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium and online, 23-24-25 April 2025 https://www.esann.org/esann2025preliminaryannouncement Call for papers The preliminary call for papers is available at https://www.esann.org/esann2025preliminaryannouncement. Deadline for submissions: 20 November 2024. ESANN conferences cover machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications will be covered. In addition to the regular sessions, special sessions on hot topics in the area of machine learning will be announced soon on the website. ESANN 2025 builds on a successful series of conferences that have been held annually since 1993. Over the years, ESANN has become a major scientific event in the field of machine learning, computational intelligence and artificial neural networks. ESANN 2025 will be organised in a hybrid mode. In-person participation is preferred, but online participation is available for those who prefer not to travel. The physical conference will take place in Bruges, one of the most beautiful medieval cities in Europe. Known as the "Venice of the North", the city has preserved all the charm of its medieval heritage. Its centre, which is listed as a UNESCO World Heritage Site, is a veritable open-air museum in itself. We look forward to receiving your contribution to ESANN 2025 and to seeing you in Bruges or online! ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen UCLouvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at manchester.ac.uk Mon Sep 9 13:21:22 2024 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Mon, 9 Sep 2024 17:21:22 +0000 Subject: Connectionists: One more week to apply for Machine Learning postdoc in my team in Helsinki or Manchester, DL Dept 15, 2024 Message-ID: [I am re-sending for those who may have missed it during holidays. Apologies for others.] Thinking about the next position for your research career? I am hiring postdocs in my machine learning research group both in Helsinki, Finland and Manchester, UK DL September 15., 2024 We develop new machine learning methods and study machine learning principles. Keywords include: probabilistic modelling, Bayesian inference, simulation-based inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, active learning, human-in-the-loop learning and user modelling, privacy-preserving learning, Bayesian deep learning, generative models We also solve problems of other fields with the methods ? and use those problems as test benches when developing the methods. We have excellent collaborators in drug design, synthetic biology and biodesign, personalized medicine, cognitive science and human-computer interaction. Aalto University, Helsinki: https://www.aalto.fi/en/open-positions/postdoctoral-researcher-positions-in-probabilistic-machine-learning-research-group-aalto-university University of Manchester, UK: https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=29960 Some more info about the team: https://kaski-lab.com Feel free to contact me for more details; please Cc Fang Wang (Helsinki: fang.wang at aalto.fi) or Ian Evans (Manchester: ian.evans at manchester.ac.uk). -- Samuel Kaski, Professor, Aalto University and University of Manchester Director, Finnish Center for Artificial Intelligence FCAI and ELLIS Unit Helsinki Turing AI Fellow, ELLIS Fellow https://kaski-lab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From battleday at g.harvard.edu Mon Sep 9 23:49:28 2024 From: battleday at g.harvard.edu (Battleday, Ruairidh) Date: Mon, 9 Sep 2024 23:49:28 -0400 Subject: Connectionists: AE Autumn Summit on Open Problems for AI. Kings X, London, Oct 23-24th. Message-ID: AE Autumn Summit on Open Problems for AI. Kings X, London, Oct 23-24th. What are the next set of challenges for AI algorithms? What are the open problems in application? Join the UK?s leading AI researchers, policy makers, and entrepreneurs in this global summit: www.algopreneurship.org This should be an exciting and productive event, and we expect 1000 participants at student, early stage, and full career levels. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Sep 10 04:35:49 2024 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 10 Sep 2024 10:35:49 +0200 Subject: Connectionists: =?utf-8?q?Last_Call_for_Submissions_=E2=80=93_Com?= =?utf-8?q?plex_Networks_2024_in_Istanbul!?= Message-ID: Dear Researchers, With just a short time remaining until the submission deadline for the *13th International Conference on Complex Networks & Their Applications (COMPLEX NETWORKS 2024)*, we invite you to submit your cutting-edge research and join us in *Istanbul, Turkey, from December 10 - 12, 2024*. *Key details:* ? *Submission Deadline:* September 15, 2024 ? *Conference Location:* Istanbul, Turkey ? *Conference Dates:* December 10 - 12, 2024 ? *How to Submit:* Full papers (up to 12 pages) and Extended Abstracts (up to 4 pages) can be submitted via the Microsoft CMT platform: Submit Here . *Why Submit?* - Your paper will be included in the Springer-published conference proceedings. - Extended abstracts will be featured in our Book of Abstracts (with ISBN). - Extended versions of accepted contributions will be invited to special issues in prominent journals like *PLOS One*, *Applied Network Science*, and *Social Network Analysis and Mining*. *Keynote Speakers:* - *Federico Battiston* (Central European University, Austria) - *Tina Eliassi-Rad* (Northeastern University, USA) - *Frank Emmert-Streib* (Tampere University, Finland) - *Filippo Menczer* (Indiana University, USA) - *Luciano Pietronero* (University of Rome, Italy) *Topics of Interest* include, but are not limited to: - Models of Complex Networks - Community Discovery and Motif Discovery - Machine Learning with Graphs - Network Medicine and Neuroscience - Information Spreading in Social Media - Complex Networks and Mobility - Cognitive Network Science ... and many more! Don?t miss the chance to present your work in a city where *East meets West* ?*Istanbul*. Whether you?re tackling complex systems, network medicine, or social media dynamics, *COMPLEX NETWORKS 2024* is the ideal venue to showcase your research. For submission guidelines and further information, visit our website: ? complexnetworks.org We look forward to your submissions and to welcoming you to Istanbul! Best regards, The COMPLEX NETWORKS 2024 Organizing Committee ? For inquiries: info at complexnetworks.org Join us at COMPLEX NETWORKS 2024 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems Founding & Adisory Editor Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From omranberjawi at gmail.com Tue Sep 10 07:02:07 2024 From: omranberjawi at gmail.com (omran berjawi) Date: Tue, 10 Sep 2024 14:02:07 +0300 Subject: Connectionists: Final Call: Submit Your Research to XAI-OBRAD 2024 Special Session (Deadline: September 20, 2024) Message-ID: Dear Researcher, We are delighted to invite you to submit your research to the Special Session on *Explainable AI for Understanding Online Behaviors and Mitigating Radicalization (XAI-OBRAD 2024)*, which will be held from *November 20-22, 2024*, in Porto, Portugal. This special session is part of the *1st International Conference on Explainable AI for Neural and Symbolic Methods (EXPLAINS 2024)*. As we are approaching the *paper submission deadline on September 20, 2024*, we encourage you to submit your work as soon as possible. This is a great opportunity to present your research in the growing field of Explainable Artificial Intelligence (xAI), particularly in its application to understanding and mitigating the impact of social media on user polarization and radicalization. This special session aims to explore the intersection of xAI and online behavior analysis, focusing on innovative research challenges and solutions to mitigate these adverse effects. We welcome contributions that align with our topics of interest, including but not limited to: - Exploring the Role of eXplainable AI in Understanding Online Behavior Dynamics - Detecting and Mitigating Echo Chambers through Interpretable AI Techniques - Leveraging xAI for Quantifying the Impact of Recommendation Systems on Radicalization Pathways - Combating Disinformation and Fake News with Transparent AI Solutions - Advancements in Explainable AI for Promoting Content Diversity and Reducing Polarization on Social Media Platforms *Important Dates:* - *Paper Submission Deadline: September 20, 2024* - Authors Notification: October 4, 2024 - Camera Ready and Registration: October 14, 2024 *Submission Details:* Prospective authors are invited to submit papers electronically via the web-based submission system. Detailed instructions for preparing the manuscript (in Word and Latex formats) are available on the conference website. *Publication:* All accepted papers will be published in a special section of the conference proceedings book, with an ISBN reference, and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI, and Web of Science/Conference Proceedings Citation Index. Each paper will receive a DOI from CrossRef, and all presented papers will be available in the SCITEPRESS Digital Library. For more details about the special session, please visit our webpage: https://explains.scitevents.org/XAI-OBRAD.aspx We believe your research could make a significant contribution to this session, and we look forward to receiving your submission. If you have any questions, please do not hesitate to contact the conference secretariat at explains.secretariat at insticc.org. Warm regards, Danilo Cavaliere, University of Salerno, Italy Giuseppe Fenza, University of Salerno, Italy Rajesh Sharma, University of Tartu, Estonia Co-Chairs, XAI-OBRAD 2024 -- Danilo Cavaliere, Ph.D. Researcher at Dipartimento di Scienze Aziendali - Management & Innovation Systems (DISA-MIS) University of Salerno Via Giovanni Paolo II, 132 84084 Fisciano (SA) - Italy e-mail:dcavaliere at unisa.it tel:+39 089 96 4015 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bolz at cbs.mpg.de Tue Sep 10 06:59:00 2024 From: bolz at cbs.mpg.de (Matthias Bolz) Date: Tue, 10 Sep 2024 12:59:00 +0200 (CEST) Subject: Connectionists: fully funded PhD positions available - Max Planck Schools Message-ID: <1331704701.297098.1725965940776.JavaMail.zimbra@cbs.mpg.de> Open Call for several PhD positions across excellent laboratories in Germany, Netherlands and UK The Max Planck School of Cognition offers an international four-year doctoral program (Cognition Track and Clinician Scientist Track) starting with a one-year orientation period followed by three years of research for the doctorate. Students can enter with a Bachelor?s (fast-track) or a Master?s degree. The current round of applications started on 1st of September, 2024 and closes on 1st of December, 2024 - i.e. applications and references have to be submitted through our online application portal by then. For more information, please join our virtual Q&A sessions (sign up via webpage). You can submit your application here: https://cognition.maxplanckschools.org/en/application For any additional inquiries please contact Matthias Bolz: Matthias.Bolz at maxplanckschools.de. Dipl.-Psych. Matthias Bolz Max Planck Institute for Human Cognitive and Brain Sciences Stephanstra?e 1A, 04103 Leipzig, Germany Phone: +49 341 - 99 40 - 2685 E-Mail: bolz at cbs.mpg.de Homepage: http://www.cbs.mpg.de/~bolz Department: Max Planck School of Cognition Function: Media & Marketing Manager From tomas.hromadka at gmail.com Tue Sep 10 07:21:01 2024 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Tue, 10 Sep 2024 13:21:01 +0200 Subject: Connectionists: COSYNE 2025: Meeting announcement; Call for Abstracts Message-ID: <404885ef-dd29-4887-b71e-35a4a9f2eb11@gmail.com> ==================================================== Computational and Systems Neuroscience 2025 (Cosyne) MAIN MEETING 27 March - 30 March 2025 Montreal, Canada WORKSHOPS 31 March - 01 April 2025 Mont-Tremblant, Canada www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 23 October 2024. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Abstract submission opens: 05 September 2024 Abstract submission deadline: 23 October 2024 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Program Chairs: Tatiana Engel (CSHL) and Kevin Franks (Duke) Workshop Chairs: SueYeon Chung (NYU) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chair: Talmo Pereira (Salk) DEIA Committee: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Tatiana Engel (CSHL) Co-chair Kevin Franks (Duke) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Marcus Benna (UCSD) Adrian Bondy (Princeton) Timothy Buschman (Princeton) Celine Cammarata (Duke) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Benjamin Cowley (CSHL) Carina Curto (Brown) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Arseny Finkelstein (Tel Aviv U) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Ann Hermundstad (Janelia) Michele Insanally (U Pitt) Monika Jadi (Yale) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Anna Levina (U Tubingen) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Ashok Litwin-Kumar (Columbia) Laureline Logiaco (MIT) Emily Mace (Max Planck) Francesca Mastrogiuseppe (Champalimaud) Luca Mazzucato (U Oregon) Jorge Mejias (U Amsterdam) Jonathan Michaels (York U) Eilif Muller (U Montreal) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (UCL) Chethan Pandarinath (Emory) Angelique Paulk (Harvard) Hannah Payne (Columbia) Talmo Pereira (Salk) Erin Rich (Mount Sinai) Ben Scott (Boston U) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Tatjana Tchumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details. From d.akarca at imperial.ac.uk Tue Sep 10 09:45:20 2024 From: d.akarca at imperial.ac.uk (Akarca, Danyal) Date: Tue, 10 Sep 2024 13:45:20 +0000 Subject: Connectionists: Postdoc @ Imperial (Computational Neuro/AI/Neuromorphic Systems) Message-ID: Dear all, ** Postdoc position: Deadline 30th September ** Apply here: https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=20479&jobTitle=Research+Associate+in+Computational+Neuroscience%2FNeuroAI%2FNeuromorphic+Systems Location: Imperial College London (EEE) Pay: ?48,056 - ?56,345 per annum (18 months first instance) Questions: Please email me at d.akarca at imperial.ac.uk I?m pleased to share a new exciting post-doctoral Research Associate post. The post is hosted at EEE at Imperial College London, is funded by the Advanced Research and Innovation Agency (ARIA) Nature Computes Better Opportunity Seed (https://www.aria.org.uk/nature-computes-better-seeds/). This is for one of the agency?s first funded projects, aiming to redefine the way computers process information by exploiting principles found ubiquitously in nature The successful candidate will work closely with the PI Dr Danyal Akarca (Imperial) and team Dr Daniel Goodman (Imperial) and Dr Jascha Achterberg (Oxford). Regular meetings will be conducted with the ARIA team. While an up to18-month post in the first instance, there is promising (although not guaranteed) opportunities for follow-on funding. The successful candidate will be integral to delivering on the project: ?Brain-inspired spatially embedded neuromorphic networks with unprecedented memory?. There are two broad aspects to this project that the successful candidate would be working on. The first component will focus on building spatial and topological priors into state-of-the-art state space models, identifying the extent to which delay-based computation (in space) improve performance and/or energy/training efficiency. The second component, in collaboration with Intel (via the Intel Neuromorphic Research Community), will be to test these models on neuromorphic hardware ? specifically Loihi2 chips. The scope of the project is wide, and we anticipate to pivot should new opportunities arise. We are open to a wide range of academic technical backgrounds but expect the candidate to start quickly. Machine learning/Neuro-AI experience is essential and a background in neuromorphic systems/hardware is highly desirable. Best, Dan -------------- next part -------------- An HTML attachment was scrubbed... URL: From rrosenb1 at nd.edu Tue Sep 10 12:53:41 2024 From: rrosenb1 at nd.edu (Robert Rosenbaum) Date: Tue, 10 Sep 2024 12:53:41 -0400 Subject: Connectionists: Six faculty positions in Neuroscience Message-ID: The University of Notre Dame is hiring 6 new faculty members in Neuroscience starting this year: 5 Assistant Professors: https://apply.interfolio.com/152596 1 endowed Full Professor: https://apply.interfolio.com/152854 Please share these links and retweet Candidates should have expertise in cellular neurobiology, molecular neurobiology, or computational neurobiology. Candidates can be hired into one of three departments: Biology, Chemistry, or AppliedMath/Stats See the linked ads for more information. ? Robert Rosenbaum Associate Professor and Director of Graduate Studies Department of Applied and Computational Mathematics and Statistics University of Notre Dame -------------- next part -------------- An HTML attachment was scrubbed... URL: From brainandmorelab at gmail.com Wed Sep 11 06:46:50 2024 From: brainandmorelab at gmail.com (Brain and More Lab) Date: Wed, 11 Sep 2024 12:46:50 +0200 Subject: Connectionists: fNIRS device advice Message-ID: Help needed. We are running the follow-up of this study https://www.sciencedirect.com/science/article/pii/S1877750324002096 where we are substantially checking the difference between EEG and fNIRS. In the followup we will look at real life analysis. For EEG we are using the Muse, for fNIRS we haven't found anything wearable at the same time decent. Mendi is a toy and not accessible (though we will contact them again), Open-fNIRS is too much work. Any ideas? -------------- next part -------------- An HTML attachment was scrubbed... URL: From davrot at neuro.uni-bremen.de Wed Sep 11 14:38:28 2024 From: davrot at neuro.uni-bremen.de (David Rotermund) Date: Wed, 11 Sep 2024 20:38:28 +0200 Subject: Connectionists: =?utf-8?q?Postdoc_/_PhD_student_for_3_years_--_Ho?= =?utf-8?q?w_to_be_flexible_=E2=80=93_organizing_and_optimizing_task-depen?= =?utf-8?q?dent_information_processing_in_the_visual_system?= In-Reply-To: <32c3054a-080f-4401-a2b4-d253c554984c@neuro.uni-bremen.de> References: <32c3054a-080f-4401-a2b4-d253c554984c@neuro.uni-bremen.de> Message-ID: <56859adf-6c33-4b96-bfee-4240872f70a0@neuro.uni-bremen.de> The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Postdoc / PhD student in Computational Neuroscience **for 3 years* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use network modelling,numerical simulation, and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. ============ = Official text = ============ The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Research Assistant / Postdoc in Computational Neuroscience (f/m/d)* German federal pay scale EG13 TV-L (100 %) *limited for 3 years*(according to ? 2 WissZeitVG) *How to be flexible ? organizing and optimizing task-dependent information processing in the visual system* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use * network modelling, * numerical simulation, * and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work done in the lab of Prof. Dr. Andreas Kreiter, also at the University of Bremen. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. * * *Requirements**:* Ideal candidates will have a completed academic university degree (Master?s/University Diploma) in computational neuroscience, physics, computer science or related fields. A doctorate in this field would be a positive addition to the application. There is the possibility of further qualification. Applicants must have a strong background in neural networks, dynamical systems, mathematics and/or data analysis, and experience in programming (we use Python in our lab). Above all, you must be highly motivated, responsible, have a strong desire to learn and be able to work proactively in an international research environment. Fluency in English (both written and spoken) is required. The Computational Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. You will have the opportunity to link your research to a wide range of other topics being studied in our lab, such as collective dynamics in neural systems, information processing in deep spiking networks, and the development of visual cortex prostheses. *General hints:* Open to unconventional approaches in research and teaching, the University of Bremen has retained its character as a place of short distances for people and ideas since its founding in 1971. With a broad range of subjects, we combine exceptional performance and innovative potential. As an ambitious research university, we stand for research-based learning approaches and a pronounced interdisciplinary orientation. We actively pursue international scientific cooperation in a spirit of global partnership. Today, around 23,000 people learn, teach, research and work on our international campus. In research and teaching, administration and operations, we are firmly committed to the goals of sustainability, climate justice and climate neutrality. Our Bremen spirit is expressed in the courage to dare new things, in supportive cooperation, in respect and appreciation for each other. With our study and research profile and as part of the European YUFE network, we assume social responsibility in the region, in Europe and in the world. The University of Bremen is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. Disabled applicants will be given priority if their professional and personal qualifications are essentially the same. For questions of the research project please contact: Dr. Udo Ernst, E-Mail: _udo at neuro.uni-bremen.de_ For general information on this topic, see also: _https://www.uni-bremen.de/ernstlab _ _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1?2-page essay should address the following questions: * What is your background? What areas have you worked in previously, and how do you think this will help you in this role? * What attracts you to computational neuroscience? * What computational neuroscience problem(s) are you most interested in? * What is your motivation for joining our project? * What are your plans for your future career? * When will you definitely be able to begin? *Curriculum Vitae* Send a tabular CV with your contact details, and all stages of education and employment. * * *List of skills, awards, publications* List your skills, especially language skills (including level of proficiency), that you think might be useful for the job. Also list any awards you have received and any peer-reviewed publications, if you have any. * * *Contact details of two academic references* One of the referees should be your PhD and/or MSc supervisor. Please inform your referees before listing their names so that they are not surprised when we contact them. You can apply in English or German, whichever language you are more comfortable with. Please explicitly address each of the specified requirements in your application (see detailed instructions below), and send your application documents until *07.10.2024*by indicating the *job id A007-24 to* Universit?t Bremen Institut f?r Theoretische Physik Frau Agnes Janssen Hochschulring 18 D-28359 Bremen or as one PDF file by unencrypted electronic mail to: _ajanssen at neuro.uni-bremen.de _. We kindly ask you to send us only copies (no portfolios) of your application documents, as we cannot return them. They will be destroyed after the selection process has been completed. Please note that incomplete applications will not be considered. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at santafe.edu Wed Sep 11 16:51:05 2024 From: mm at santafe.edu (Melanie Mitchell) Date: Wed, 11 Sep 2024 14:51:05 -0600 Subject: Connectionists: Postdoc position at the Santa Fe Institute: AI Models of Visual and Multimodal Reasoning Message-ID: <13F1E62D-7A3F-4FB9-858C-4773452B7E18@santafe.edu> I am looking for a postdoc (to start Spring or Summer 2025) to work with me and others at the Santa Fe Institute on AI models of visual and multimodal reasoning. Candidates are required to have a PhD (by the start date) in an area related to AI, Machine Learning, or Cognitive Science. Strong programming skills are essential. For more information and application instructions, go to https://santafe.edu/about/jobs/postdoc-ai-modeling Melanie Mitchell Santa Fe Institute -------------- next part -------------- An HTML attachment was scrubbed... URL: From jncor at dei.uc.pt Wed Sep 11 15:41:11 2024 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Wed, 11 Sep 2024 20:41:11 +0100 Subject: Connectionists: The 2nd CfP Evostar 2025 - The Leading European Event on Bio-Inspired Artificial Intelligence - 23-25 April 2025 Message-ID: Dear Colleague(s), Below you will find the 2nd call for papers for EvoStar 2025. Deadline: November 1, 2024 Feel free to distribute and thank you for your time. Apologies for the cross-posting. Best regards, Jo?o Correia EvoStar Publicity Chair ---------------------------------------------------------------------- Call for papers for the EvoStar 2025 conference http://www.evostar.org/2025/ Submission Deadline: November 1, 2024 Conference: 23 to 25 April 2025. Venue: Trieste, Italy News: ** 4th 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/2025/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 28th European Conference on Genetic Programming http://www.evostar.org/2025/eurogp/ - EvoApplications 28th European Conference on the Applications of Evolutionary and bio-inspired Computation http://www.evostar.org/2025/evoapps/ - EvoCOP 25th European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2025/evocop/ - EvoMUSART 14th International Conference (and 18th European event) on Artificial Intelligence in Music, Sound, Art and Design. http://www.evostar.org/2025/evomusart/ *** Important Dates, Venue and Publication *** Submission Deadline: November 1, 2024 Conference: 23 to 25 April 2025. Venue: Trieste, Italy 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/2025/ And follow us at: X - https://x.com/EvostarConf Instagram - https://www.instagram.com/evostarconference/ Follow SPECIES at: https://www.linkedin.com/company/species-society/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Thu Sep 12 12:22:10 2024 From: evomusart at gmail.com (EvoMUSART) Date: Thu, 12 Sep 2024 17:22:10 +0100 Subject: Connectionists: =?utf-8?q?Call_for_Papers_-_EvoMusArt_2025_-_14th?= =?utf-8?q?_International_Conference_on_Artificial_Intelligence_in_?= =?utf-8?q?Music=2C_Sound=2C_Art_and_Design_=2823=E2=80=9325_April_?= =?utf-8?q?2025=29?= Message-ID: ------------------------------------------------ Call for papers for the 14th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) ? Please distribute ? Apologies for cross-posting ------------------------------------------------ The 14th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place on 23-25 April 2025, as part of the evo* event. *EvoMUSART webpage: *www.evostar.org/2025/evomusart/ *Submission deadline: *1 November 2024 *Conference: *23-25 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 14 pages long, excluding references, 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 that 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 functional criteria; - Robotic-based Evolutionary Art and Music; - Other related artificial or generative techniques in the fields of Computer Music, Computer Art, etc. - Techniques for automatic fitness assignment; - Systems in which an analysis or interpretation of the artworks is used in conjunction with artificial intelligence techniques to produce novel objects; - Systems that resort to artificial intelligence approaches to perform the analysis of image, music, sound, sculpture, or some other types of artistic object or resource. - Systems in which artificial intelligence is used to promote the creativity of a human user; - New ways of integrating the user in the evolutionary cycle; - Analysis and evaluation of: the artistic potential of biologically inspired art and music; the artistic processes inherent to these approaches; the resulting artefacts; - Collaborative distributed artificial art environments; - Contextualisation of creative AI in cultural, economic, social, political or ecological discourse; - Computational Aesthetics, Experimental Aesthetics; Emotional Response, Surprise, Novelty; - Representation techniques; - Surveys of the current state-of-the-art in the area; identification of weaknesses and strengths; comparative analysis and classification; - Validation methodologies; - Studies on the applicability of these techniques to related areas; - New models designed to promote the creative potential of biologically inspired computation. More information on the submission process and the topics of EvoMUSART: www.evostar.org/2025/evomusart/ *Flyer of EvoMUSART 2025: *http://www.evostar.org/2025/flyers/evomusart We look forward to seeing you in EvoMUSART 2025! The EvoMUSART 2025 organisers Penousal Machado Colin Johnson Iria Santos (publication chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From M.Goodfellow at exeter.ac.uk Thu Sep 12 14:34:23 2024 From: M.Goodfellow at exeter.ac.uk (Goodfellow, Marc) Date: Thu, 12 Sep 2024 18:34:23 +0000 Subject: Connectionists: Link updated: UK PhD studentship opportunity In-Reply-To: References: Message-ID: The University of Exeter, UK, is offering an EPSRC-funded PhD studentship in Neuroscience and Artificial Intelligence. This project is open to students with a background in Mathematics, Physics, Computer Sciences, or Natural Sciences, and an interest in Neuroscience. The successful candidate will use recent Neuroscience findings to make Deep Networks learn more sustainably, generalise better, be more resistant to injuries, and be more explainable. For information on the studentship and how to apply, please visit https://www.exeter.ac.uk/study/funding/award/?id=5228. The application deadline is midday on Friday 4th October 2024. For more information on this project see https://www.exeter.ac.uk/v8media/recruitmentsites/documents/Improving_Artificial_Intelligence_through_Neuroscience_(Dr_Joel_Tabak).pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From M.Goodfellow at exeter.ac.uk Thu Sep 12 04:58:05 2024 From: M.Goodfellow at exeter.ac.uk (Goodfellow, Marc) Date: Thu, 12 Sep 2024 08:58:05 +0000 Subject: Connectionists: UK PhD studentship opportunity Message-ID: The University of Exeter, UK, is offering an EPSRC-funded PhD studentship in Neuroscience and Artificial Intelligence. This project is open to students with a background in Mathematics, Physics, Computer Sciences, or Natural Sciences, and an interest in Neuroscience. The successful candidate will use recent Neuroscience findings to make Deep Networks learn more sustainably, generalise better, be more resistant to injuries, and be more explainable. For information on the studentship and how to apply, please visit https://www.exeter.ac.uk/study/funding/award/?id=5228. The application deadline is midday on Friday 4th October 2024. For more information on this project see https://www.exeter.ac.uk/v8media/recruitmentsites/documents/Improving_Artificial_Intellig ence_through_Neuroscience_(Dr_Joel_Tabak).pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From tt at cs.dal.ca Thu Sep 12 11:42:04 2024 From: tt at cs.dal.ca (Thomas Trappenberg) Date: Thu, 12 Sep 2024 12:42:04 -0300 Subject: Connectionists: IJCNN 2025: Call for Special Session and Workshop Proposals In-Reply-To: References: Message-ID: Submission Deadline: 15 November 2024 View this email in your browser *Call for Special Session and Competition Proposals* Submission Deadline: 15 November 2024 The International Joint Conference on Neural Networks, (IJCNN) solicits proposals for special sessions within the technical scope of the conference. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Cross-fertilization of technical disciplines and newly emerging research areas are strongly encouraged. Learn More *Important Dates* *15 November 2024: Special Session & Competition Proposals* *15 December 2024: *Tutorial & Workshop Proposals *15 January 2025:* Regular Paper Submission *17 March 2025:* Paper Acceptance Notification *1 May 2025:* Final Camera Ready Paper *Topics of Interest* Papers for IJCNN 2025 will be reviewed by experts in the fields and ranked based on the criteria of originality, significance, quality, and clarity. Prospective authors are invited to submit complete papers of no more than eight (8) pages in IEEE two-column conference proceedings format. Authors should submit their papers in PDF through the online submission system, which will be available at https://2025.ijcnn.org/ . *Topics of interest include but are not limited to:* - AI for Critical Infrastructures - AI for Education - AI for Neural Engineering - Brain-machine Interfaces - Cognitive Models - Collective & Ensemble Intelligence - Computational Neuroscience - Dynamic Neural Networks - Efficient and Tiny Neural Networks - Ethics and Regulation in AI - Generative AI Models - Graph Neural Networks - Interpretable and Explainable AI - Large Language Models - Large-Scale Neural Networks - Mixture of Experts - Modular Neural Networks - Neural Engineering - Neural Network Applications - Neural Networks for Sciences - Neuromorphic Systems - Neurosymbolic AI - Perceptual Neural Networks - Quantum Neural Networks - Reinforcement Learning - Representation & Reasoning - Reservoir & Echo-State Networks - Spiking Neural Networks - Theory of Neural Networks - Transformer Networks - Trustworthy and Reliable AI - Unsupervised Learning Learn More *Conference Sponsor* [image: Facebook] Facebook [image: Twitter] Twitter [image: YouTube] YouTube [image: Website] Website *Copyright ? 2024 IJCNN, All rights reserved.* You are receiving this email because you have accepted to receive information on IJCNN. *Our mailing address is:* IJCNN 2720 NW 6th St Gainesville , FL 32609 Add us to your address book Want to change how you receive these emails? You can update your preferences or unsubscribe from this list . Forward to a friend -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Thu Sep 12 15:11:42 2024 From: nsmattei at gmail.com (Nicholas Mattei) Date: Thu, 12 Sep 2024 14:11:42 -0500 Subject: Connectionists: Final Call for Participation: ADT 2024 -- The 8th International Conference on Algorithmic Decision Theory Message-ID: All [Apologies for multiple postings] The 8th International Conference on Algorithmic Decision Theory (ADT 2024; https://preflib.github.io/adt2024/) will take place October 14 - 16, at the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) at Rutgers University, Piscataway, NJ. *Registration:* A link to the registration portal is available at the conference website: https://preflib.github.io/adt2024/attending/. The early registration deadline is September 13, after which fees will increase. *Aims and Scope:* The 8th International Conference on Algorithmic Decision Theory (ADT 2024) focuses on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of Computer Science, Economics, and Operations Research in order to improve the theory and practice of modern decision support. The conference topics include research in: preference modeling and elicitation, voting, preference aggregation, fair division and resource allocation, coalition formation, game theory, and matching. *Invited Talks: *We have three great invited speakers lined up - Tracy Liu, Jenn Wortman Vaughan, and Herv? Moulin. *Program: *A schedule overview is available at the conference website: https://preflib.github.io/adt2024/program/. A detailed program will be available soon. *Call for Posters: *ADT 2024 will hold a poster session on the evening of October 14th, along with the welcome reception for the conference. To submit a poster, please complete the following short form by September 13th : https://forms.gle/3aq7E5VS4oPKHzXD7. -- *Nicholas Mattei* Associate Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 305B +1 504 865 5782 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Fri Sep 13 03:41:29 2024 From: david at irdta.eu (David Silva - IRDTA) Date: Fri, 13 Sep 2024 09:41:29 +0200 (CEST) Subject: Connectionists: DeepLearn 2025 Message-ID: <1476150295.7302168.1726213289934@webmail.strato.com> ****************************************************** 12th INTERNATIONAL SCHOOL ON DEEP LEARNING (with special focus on Large Language Models, Foundation Models and Generative AI) DeepLearn 2025 Porto ? Maia, Portugal July 21-25, 2025 https://deeplearn.irdta.eu/2025/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************** Early registration: September 29, 2024 ****************************************************** SCOPE: DeepLearn 2025 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth, Bari, Las Palmas de Gran Canaria and Porto. 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, biomedicine and health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, etc. etc. The field is also raising a number of relevant questions about robustness of the algorithms, explainability, transparency, interpretability, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed, and main challenges identified through 18 four-hour and a half courses, 2 keynote lectures, 1 round table and a hackathon competition among participants. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. DeepLearn 2025 will place special emphasis on large language models, foundation models and generative artificial intelligence. 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 2025 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 2025 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Cast?lo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their technical developments for 10 minutes. The school will include a hackathon, where participants will be able to work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: (to be completed) Manuela Veloso (JPMorganChase), AI, Humans, and Robots for Task Solving PROFESSORS AND COURSES: (to be completed) Sean Benson (Amsterdam University Medical Center), [intermediate] Digital Twins and Generative AI for Personalised Medicine Mark Derdzinski (Dexcom), [introductory] From Prototype to Production: Evaluation Strategies for Agentic Applications Elena Giusarma (Michigan Technological University), tba Hayit Greenspan (Tel Aviv University), tba Jayashree Kalpathy-Cramer (University of Colorado), [introductory/intermediate] Multimodal AI for Healthcare Yingbin Liang (Ohio State University), [intermediate/advanced] Theory on Training Dynamics of Transformers Evan Shelhamer (DeepMind), tba Atlas Wang (University of Texas Austin), [intermediate] Low Rank Strikes Back in the Era of Large Language Models Xiang Wang (University of Science and Technology of China), [advanced] Large Language Models for User Behavior Modeling: Cross-Modal Interpretation, Preference Optimization, and Agentic Simulation Rex Ying (Yale University), [intermediate/advanced] Multimodal Foundation Models for Graph-Structured Data: Framework and Scientific Applications OPEN SESSION: An open session will collect 5-minute voluntary oral 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 13, 2025. 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 13, 2025. HACKATHON: A hackathon will take place, where participants can work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer (University of Alabama). The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced by August 25, 2025. The winning teams will receive a modest monetary prize and the runners-up will get a certificate. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2025/sponsoring/ ORGANIZING COMMITTEE: Sergei V. Gleyzer (Tuscaloosa, hackathon chair) Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2025/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://deeplearn.irdta.eu/2025/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.villavicencio at sheffield.ac.uk Fri Sep 13 05:54:11 2024 From: a.villavicencio at sheffield.ac.uk (Aline Villavicencio) Date: Fri, 13 Sep 2024 10:54:11 +0100 Subject: Connectionists: PhD Studentships at the University of Exeter - NLP/AI for healthcare Message-ID: PhD Studentships at the University of Exeter We?re currently advertising 9 PhD studentships across the Exeter Biomedical Research Centre, including for projects involving AI/NLP for healthcare: Using natural language processing to understand and enhance therapeutic mechanisms in digital psychological therapy? Unlocking the Power of UK Hospital Data: Leveraging Machine Learning and Natural Language Processing for High-Fidelity Clinical Research? For more details: Website ? link here LinkedIn ? link here ?X? ? link here Fees and funding For eligible students, the studentship will cover Home tuition fees plus an annual tax-free stipend of at least ?19,237 (in alignment with standard Research Council UK rate) for 3 years full-time, in addition to a Research Training and Support Grant (RTSG). *Students who pay international tuition fees are eligible to apply, but should note that the award will only provide payment for part of the international tuition fee and no stipend. International applicants need to be aware that you will have to cover the cost of your student visa, healthcare surcharge and other costs of moving to the UK to do a PhD. The conditions for eligibility of home fees status are complex and you will need to seek advice if you have moved to or from the UK (or Republic of Ireland) within the past 3 years or have applied for settled status under the EU Settlement Scheme. Timeline The closing date for applications is midnight on Tuesday 17th September 2024. Interview panels are anticipated to be held virtually week commencing the 30th September 2024. Expected start dates are between 1st November 2024 and 6th January 2025. Contact details If you would like to discuss the studentships further, please contact the primary supervisor as stated in the advert. If you have any queries surrounding the application process or the BRC more generally, please contact Dr Sophie Gould (NIHR Exeter BRC Training and Events Manager) at S.L.Gould at exeter.ac.uk . Entry requirements Applicants for this studentship must have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate subject area. If English is not your first language you will need to meet the required level as per our guidance at https://www.exeter.ac.uk/pg-research/apply/english/ Our Equality, Diversity, and Inclusion Commitment The NIHR Exeter Biomedical Research Centre (BRC) and Clinical Research Facility (CRF) strongly adhere to Equality, Diversity and Inclusivity (EDI) principles. They share a fundamental objective to empower better health outcomes for all patients and the public by translating scientific breakthroughs into potential new treatments, diagnostics and medical technologies. We are committed to ensuring that the consideration of EDI is second nature to all members of our experimental medicine and translational research community, fostering a fully inclusive environment where everyone feels supported, valued, and is provided the opportunity to reach their full potential. Our strategy purposefully shares overarching EDI visions with those of the NIHR, UoE and NHS Trust partners to allow for collaborative working to reach our mutual goals. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underserved within our working community. Summary Application deadline: 17th September 2024 Value: For eligible students, the studentship will cover Home tuition fees plus an annual tax-free stipend of at least ?19,237 (in alignment with standard Research Council UK rate) for 3 years full-time, in addition to a Research Training and Support Grant (RTS Duration of award: per year Contact: PGR Admissions pgrapplicants at exeter.ac.uk ---------------------------------------------------- Aline Villavicencio (she/her) Professor in Natural Language Processing Director of the Institute for?Data?Science?and Artificial?Intelligence University of Exeter (UK) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Fri Sep 13 14:08:02 2024 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 13 Sep 2024 18:08:02 +0000 Subject: Connectionists: Call for Participation: SBP-BRiMS'2024 -- starts in just a few days, Sept 18 In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2024 2024 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 18-20, 2024 Will be held in hybrid mode (In-person at Gates Hillman Complex, Carnegie Mellon University 4902 Forbes Ave, Pittsburgh, PA 15213, USA) http://sbp-brims.org/ #sbpbrims Conference Registration: Registration is now open for the 2024 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Sep 18-20, 2024. Conference format is hybrid -- in person and virtual/online. You can register at the website: https://sbp-brims.org/2024/registration/ Conference Agenda: The program will be available at ... https://sbp-brims.org/2024/program/ Conference Attendance Fellowships: A limited number of fellowships are available for students and members of underrepresented groups to support participation in the conference. Please apply early as the slots are limited. For more details, visit the conference website http://sbp-brims.org/ , and check the menu for Scholarships, under "Conference Information". Key Highlights: Co-location with IDEaS Conference: SBP-BRiMS'24 is co-located with 2024 IDEaS Annual Conference (https://www.cmu.edu/ideas-social-cybersecurity/events/conference-index.html). SBP-BRiMS participants are invited to attend talks at the IDEaS conference as well. Keynote Speakers: Keynote 1 (Sept 18, 2024): Don Adjeroh, PhD Professor and Associate Chair, Lane Department of Computer Science and Electrical Engineering, West Virginia University https://directory.statler.wvu.edu/faculty-staff-directory/donald-adjeroh Keynote 2 (Sept 20, 2024): Patricia Aufderheide, PhD University Professor of Communication Studies, American University in Washington, D.C. https://www.american.edu/soc/faculty/paufder.cfm Tutorial Sessions: Several half-day sessions will be offered as part of the conference. More detailed information regarding the tutorial sessions will be posted at the conference website as soon as this becomes available. Funding Panel & Cross-fertilization Roundtables: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). SBP-BRiMS'2024 Sept 18-20| In-Person at CMU, Pittsburgh, USA and Online/virtual www.sbp-brims.org Connect with #sbpbrims on social: Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Robert.Mullins at cl.cam.ac.uk Sat Sep 14 06:04:58 2024 From: Robert.Mullins at cl.cam.ac.uk (Robert Mullins) Date: Sat, 14 Sep 2024 11:04:58 +0100 Subject: Connectionists: Uni. of Cambridge - PhD studentships and postdoc positions (ML/AI/Systems) Message-ID: Dear all, I am looking for PhD students and postdocs (or research assistants) for the following projects: *Simulating and Exploring the Design of Next-Generation AI Hardware* This is part of a larger ARIA funded project with the Uni. of Edinbrugh and Imperial. Research Assistant/Associate in Simulation and Exploration of Next-Generation AI Hardware https://www.jobs.cam.ac.uk/job/48176/ closing date: 20 September PhD Studentships x 2 in closing date: 2 October https://www.jobs.cam.ac.uk/job/48184/ *Efficient Machine Learning Systems at the Edge* Research Assistant/Associate https://www.jobs.cam.ac.uk/job/46539/ closing date: 25 September This is part of an EPSRC funded project with the Univs. of Manchester and Southampton. kind regards, - Rob. -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Sun Sep 15 19:34:13 2024 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Sun, 15 Sep 2024 19:34:13 -0400 Subject: Connectionists: Illusion Submission Deadline EXTENDED until October 1st: the 2024 Best Illusion of the Year Contest In-Reply-To: <0caa01db07c7$6e2ef8a0$4a8ce9e0$@neuralcorrelate.com> References: <0ba801d792f8$b73f4280$25bdc780$@neuralcorrelate.com> <0d9301d7931c$4f7ae360$ee70aa20$@neuralcorrelate.com> <0da201d7931c$7c0c0990$74241cb0$@neuralcorrelate.com> <00da01d8bf12$c3cc43d0$4b64cb70$@neuralcorrelate.com> <039401dad728$fc3275c0$f4976140$@neuralcorrelate.com> <056401dad976$bdb8bca0$392a35e0$@neuralcorrelate.com> <107401dad97c$8650df30$92f29d90$@neuralcorrelate.com> <10ab01dad97e$4312e770$c938b650$@neuralcorrelate.com> <0bf501db07b7$01149fa0$033ddee0$@neuralcorrelate.com> <0c6f01db07b7$aa563e70$ff02bb50$@neuralcorrelate.com> <0c8401db07ba$cd1ccd90$675668b0$@neuralcorrelate.com> <0caa01db07c7$6e2ef8a0$4a8ce9e0$@neuralcorrelate.com> Message-ID: <0cc001db07c7$c6c64310$5452c930$@neuralcorrelate.com> ***DUE TO POPULAR DEMAND*** The deadline for the 19th annual Best Illusion of the YearSM Contest has been extended. The FINAL submission date is now *Tuesday, October 1st* http://illusionoftheyear.com We are happy to announce the 19th edition of world's Best Illusion of the YearSM Contest, hosted by the Neural Correlate Society and supported again by the Museum of Illusions as Platinum Sponsor!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube or mp4 videos featuring novel illusions (unpublished or published no earlier than 2023) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. Novel variants of known illusions are welcome. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * A video of yourself describing your illusion * A video animation/theatrical performance of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. The Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also presenting or submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2024 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email (illusion.contest.entries at outlook.com ) until October 1st, 2024. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From pubconference at gmail.com Sun Sep 15 20:45:31 2024 From: pubconference at gmail.com (Pub Conference) Date: Sun, 15 Sep 2024 20:45:31 -0400 Subject: Connectionists: CFP- ICICIP2025, Muscat, Oman, February 6-11, 2025 Message-ID: *Call for Abstracts/Papers* Conference website: https://conference.cs.cityu.edu.hk/icicip/ The 13th International Conference on Intelligent Control and Information Processing (ICICIP2025) will be held in Muscat, Oman, February 6-11, 2025, following the successes of previous events. As the capital of Oman, Muscat is Oman's largest city with a population of over four million people and numerous tourist attractions. ICICIP2025 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 plenary speeches given by world-renowned scholars, regular sessions with broad coverage, special sessions focusing on popular topics, and post-conference workshops/tutorials in the region. Prospective authors are invited to contribute high-quality papers to ICICIP2025. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in 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 ICICIP2025. 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. Authors are invited to submit either an abstract only or full-length papers (8 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five 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 consideration of the referees' comments and suggestions. All 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. The abstract or paper submission system is now open. Submission link: https://openreview.net/group?id=IEEE.org/ICICIP /2025/Conference&referrer=%5BHomepage%5D(%2F)#tab-your-consoles *Abstract Only or Paper Submission Deadline: November 1, 2024* -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICICIP2025CFPv7.pdf Type: application/pdf Size: 282666 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Muscat.jpg Type: image/jpeg Size: 56905 bytes Desc: not available URL: From fzenke at gmail.com Mon Sep 16 03:34:31 2024 From: fzenke at gmail.com (Friedemann Zenke) Date: Mon, 16 Sep 2024 09:34:31 +0200 Subject: Connectionists: PhD and postdoc positions in the Zenke Lab at the FMI, Basel, Switzerland. Message-ID: We are looking for new team members! Please consider applying if you want to build models of how the brain learns and simulates a world model. We have several openings at PhD and postdoc levels, including a collaboration with the Keller Lab at the FMI on designing regulatory elements to target distinct neuronal cell types. For more information and example projects, see http://zenkelab.org/jobs Kind regards, Friedemann From pomarien at gmail.com Mon Sep 16 01:44:46 2024 From: pomarien at gmail.com (Samir ouchani) Date: Mon, 16 Sep 2024 05:44:46 +0000 Subject: Connectionists: [ICFNDS 2024-CFP] The 8th International Conference on Future Networks & Distributed Systems Message-ID: *************************************************************************** CALL FOR PAPERS *************************************************************************** (Apologies if you receive multiple copies of this CFP) The 8th International Conference on Future Networks & Distributed Systems (ICFNDS 2024) https://icfnds.org/ Dec 11-12, 2024, Marrakech, Morocco ICFNDS proceedings will be submitted for publication as part of ACM's International Conference Proceedings Series (ICPS) IMPORTANT DATES ---------------------------- Final Paper Submission due: Oct 20, 2024 Notification of Acceptance: Nov 10, 2024 Camera Ready Paper due: Nov 20, 2024 Authors Registration Deadline: December 20, 2024 Conference: December 11 - 12, 2024 In the last decade, the growth of the Internet and other web technologies have driven fast developments of various networking technologies that are becoming primary parts of our daily lives. The wealth of existing algorithms and architectures for parallel and distributed computing combined with the proliferation of future wireless technologies and electronic devices resulted in a fast-growing adoption of future networks and highly decentralized systems. Future networks and distributed systems research is an interdisciplinary research field involving academic researchers in computer science, communication engineering, physics and social and behavioral studies, as well as information technology industry consultants and practitioners to support multiservice, multimedia services convergence, service ubiquity and context awareness, mobility, fixed-mobile convergence, variable connectivity, quality of service, spontaneous and autonomic networking and other capabilities. The 2024 International Conference on Future Networks and Distributed Systems (ICFNDS 2024) aims at addressing advances in research on distributed systems and future networks, covering topics ranging from enabling technologies to emerging applications and industrial experiences. ICFNDS aims to encourage both researchers and practitioners to exchange and share their experiences and recent studies in an interactive atmosphere. The 2023 ICFNDS meeting was held in Dubai, UAE. The 2022 ICFNDS meeting was held in Tashkent, Uzbekistan. The 2021 ICFNDS meeting was held online due to the pandemic. The 2020 ICFNDS meeting was held in St. Petersburg, Russia. The 2019 ICFNDS meeting was held at The University of Paris Sud, France. The 2018 ICFNDS meeting was held at The Middle East University, Amman, Jordan. The 2017 ICFNDS meeting was held at The M?ller Centre, Churchill College, University of Cambridge, Cambridge, UK. Authors are solicited to contribute original, unpublished contributions in all aspects of future networking and distributed systems. Submitted articles must not be concurrently considered elsewhere for publication. TOPICS ----------- Topics of interest include, but are not limited to, the following: 1. Future Networks - Artificial Intelligence-enabled communications - Machine/deep Learning for communication networks - Future Internet - Future generation communication networks - Future warehousing - Multi-Cores, virtualization - Clusters and grid computing - Web-services and SOA - 6G, 5G, LTE, LTE-Advanced, WLAN, WPAN - Small cell networks - Cognitive radio network - QoE, QoS, SLA, and GoS - Heterogeneous networks - Wireless, VLC and LED communication - CCN/CDN/ICN/Delay-tolerant networks - Software-Defined Networking (SDN) - Network Functions Virtualization (NFV) - Future network platforms, software and services - Network theory and network science - Intelligent Internet communication - Mobile computing - Peer-to-peer, optical and Interconnection networks - Network routing and communication algorithms - Security, reliability and fault-tolerance - Network security 2. Cloud, Distributed and Parallel systems - Distributed Ledger Technology (DLT) and blockchains - Parallel and distributed architectures - Theory of parallel and distributed computing - Parallel algorithms and their implementation - Resource allocation and management - Task mapping and job scheduling - Distributed data and knowledge-based systems - Database applications and data mining - Web technologies - Performance evaluation and measurements - Wireless networks and Protocols - Optimization - Language, compilers and operating systems - Reusability and scheduling - Formal methods and programming languages - Modelling and simulation - Crowdsourcing and cloud computing - Big data networks and data center architecture 3. Internet of Things - Data collection, deep learning, reality mining, and prediction methods - Real-time decision-making and information extraction - Methods for seamless human-to-object and object-to-object interactions - Advanced manufacturing and logistics with IoT - Evaluation of challenges of real-world deployments of Industrial Internet and GS1 - Information architecture design on field device, edge device and servers in cloud - Transitioning functional and processing allocation across system entities - Advanced data capturing and networking technology - Object identification and access - Interoperability of IoT systems - Service and device discovery - Synchronization of distributed directory systems. - Semantic data description frameworks - Data sharing and acceptance of IoT Systems - Data security, authentication and authorization - Privacy protection, data sharing technologies, tampering protection and detection - Wireless Sensor Networks (WSN) - Smart cities and services - Case studies in the deployment of IoT applications/services in the area of accessibility - Wearable technology for independent living - Pervasive platforms and applications for assisted living 4. General Conference Track Future networks and distributed systems papers that do not fit the above tracks can be submitted to the general conference track. Subjects of interest include, but not limited to: - Cybersecurity and darknet - Artificial intelligence - Smart infrastructure - Vehicular Networks - Digital Twins PAPER SUBMISSION ----------------------------- The online submission is now open. All submissions must be made online from the hosted by Microsoft CMT. Email submissions will NOT be accepted. You need to have a CMT account to submit your papers. If you need to edit any author information or resubmit your paper, it may be done up until the submission deadline. Use the author account you created during the initial submission, to edit or resubmit. Please read the Submission Instructions before submitting your paper to the system. You can submit your paper through the following link: https://cmt3.research.microsoft.com/ICFNDS2024 Make sure to read the detailed author guidelines (http://www.acm.org/publications/proceedings-template) BEFORE you create your submission. All paper submissions (5 - 12 pages including references) should be written in English. The ACM Word submission template is available to all ACM authors from here: World Submission Template (https://www.acm.org/publications/taps/word-template-workflow) The ACM LaTeX template on the Overleaf platform is available to all ACM authors at (remember to remove ",authordraft" from "\documentclass[sigconf,authordraft]{acmart}"): https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty The current ACM proceedings templates in Word and LaTeX formats can be downloaded from (http://www.acm.org/publications/proceedings-template). If you have any problems with the templates, please contact ACM?s TeX support team at Aptara (acmtexsupport at aptaracorp.com). The TPC chairs may immediately reject submissions that violate the formatting requirements. The submission system can report some formatting violations in papers that you upload. You can also visually inspect a page-by-page report of your paper format using this online tool. Please note that ICFNDS 2023 proceedings will be published by ACM ICPS and therefore all the policies and regulations of ACM ICPS will be applied as detailed in the (ACM Publication Policies: http://www.acm.org/publications/policies/toc). Each paper must deal with original and unpublished work, not submitted for publication elsewhere (copyright problems fall entirely under the responsibility of the authors). Each paper will be reviewed by at least three experts in the relevant field based on its originality, timeliness, significance, relevance, and clarity of presentation ensuring the publication of only top-quality contributions. When a paper is accepted at least one of the authors has to register for the conference and deliver the related talk. GENERAL CHAIRS -------------------------- - Prof. Abderrahim Ait Wakrime, Mohammed V University, Morocco - Prof. Akram Idani, Grenoble Alpes University, France PROGRAM COMMITTEE CHAIRS ---------------------------------------------- - Dr. Samir OUCHANI, CESI LINEACT UR 7527, France - Dr. Nigel Houlden, Manchester Metropolitan University, UK PUBLICITY CHAIRS ---------------------------- - Dr. Farag Azzedin, King Fahd University of Petroleum and Minerals, Saudi Arabia ORGANIZING COMMITTEE -------------------------------------- - Prof. Yassine Ouhammou, LIAS/ISAE-ENSMA, France - Prof. Khaoula Boukir, Ibn Tofa?l University, Morocco -------------- next part -------------- An HTML attachment was scrubbed... URL: From avellido at cs.upc.edu Mon Sep 16 06:07:42 2024 From: avellido at cs.upc.edu (Alfredo Vellido) Date: Mon, 16 Sep 2024 10:07:42 +0000 Subject: Connectionists: LAST CFP: SSCI 25, Norway. CITREX Symposium on Explainable, Responsible, and Trustworthy CI Message-ID: * apologies for cross-posting* ***** LAST CFP ***** **IEEE Symposium on Explainable, Responsible, and Trustworthy CI (IEEE CITREx)** **2025 IEEE Symposium Series on Computational Intelligence(SSCI)** 17-20 March 2025 - Trondheim, Norway? https://ieee-ssci.org/?ui=trustworthy-explainable-and-responsible-ci https://twitter.com/CITRExConf *************************************************** The development of explainable, responsible, and trustworthy computational intelligence (CI) and artificial intelligence (AI) is crucial for transparency, accountability, and user confidence. By ensuring AI/CI systems are understandable, monitored, and reliable, we can make decisions that comply with regulations and ethical principles, thereby reducing risks and biases. This empowers users to engage with these technologies confidently, promoting a harmonious integration of AI into daily life. This symposium aims to discuss the ethical principles governing AI/CI technology in light of current regulatory efforts and the impact on operators, users, and stakeholders. It will explore how to make AI/CI decisions clear and interpretable to enhance transparency and trust. Additionally, the symposium will address balancing technological ecological footprints with economic benefits, managing automation's workforce impact, protecting privacy, and the legal implications of AI/CI in autonomous systems among some othertopics of interest https://ieee-ssci.org/?ui=trustworthy-explainable-and-responsible-ci . IEEE SSCI is widely recognized for cultivating the interchange of state-of-the-art theories and sophisticated algorithms within the broad realm of Computational Intelligence Applications. The Symposia provide for cross-pollination of research concepts, fostering an environment that facilitates future inter and intra collaborations. IMPORTANT DATES UPDATED https://ieee-ssci.org/?ui=important-dates ????? Title and Abstract Submission:**NEW DEADLINE**?**22nd****?Sept, 2024** ????? Full/Short Papers Submission:?**NEW DEADLINE?****1st Oct, 2024** SYMPOSIUM KEYNOTE SPEAKER https://ieee-ssci.org/?ui=plenary-and-keynote-sessions ???????**Federico Cabitza?**(Universit? degli studi di Milano-Bicocca) CONFERENCE KEYNOTE SPEAKERS https://ieee-ssci.org/?ui=plenary-and-keynote-sessions ???????**Keeley Crockett**(Manchester Metropolitan University and Chair of the IEEE Technical Committee SHIELD: Ethical, Legal, Social, Environmental and Human Dimensions of AI/CI)- Physical Intelligence of Small-scale Robots ???????**Metin Sitti**(President and Professor of Ko? University, Istanbul) - Social Robots and LLMs: a step towards to behave more human like ???????**Nadia Magnenat Thalmann**(Research Director of MIRALab, University of Geneva, Switzerland) We are looking forward to seeing you in Trondheim! Alfredo Vellido, IEEE CITREx Symposium Chair, on behalf of organizing committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Mon Sep 16 11:32:50 2024 From: cgf at isep.ipp.pt (Carlos) Date: Mon, 16 Sep 2024 16:32:50 +0100 Subject: Connectionists: CFP: DATA STREAMS TRACK - ACM SAC 2025 Message-ID: <582a5072-23ec-452a-8456-d649bb369d80@isep.ipp.pt> =========================== ACM SAC 2025 Data Streams track Due to several requests, the deadline has been extended by 2 weeks: https://abifet.github.io/SAC2025/ Paper Submission: October 4, 2024 Please submit your contribution via SAC 2025 Webpage: https://easychair.org/conferences/?conf=sac-2025 =========================== Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From boubchir at ai.univ-paris8.fr Tue Sep 17 03:59:23 2024 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 17 Sep 2024 09:59:23 +0200 Subject: Connectionists: [CfP] [Extended deadline] The 5th international workshop on Machine Learning for EEG Signal Processing (MLESP) In-Reply-To: <94c43557-f3eb-4ae3-bbde-e96408e54105@ai.univ-paris8.fr> References: <94c43557-f3eb-4ae3-bbde-e96408e54105@ai.univ-paris8.fr> Message-ID: <555efa01-fab0-4ea2-a2ca-d82bac867a12@ai.univ-paris8.fr> [Apologies for multiple postings] * * The? 5th international workshop on Machine Learning for EEG Signal Processing (MLESP 2024, https://mlesp2024.sciencesconf.org/) to be held in Lisbon, Portugal, from 3 to 6 December 2024, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2024, https://ieeebibm.org/BIBM2024). *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 * Sept. 16, 2024 *Sept. 30, 2024* (11:59 pm CST):Due date for full workshop papers submission Oct. 20, 2024: Notification of paper acceptance to authors Nov. 10, 2024: Camera-ready of accepted papers Dec 3-6, 2024: 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/2024/bibm24/scripts/submit.php?subarea=S01&undisplay_detail=1&wh=/cyberchair/2024/bibm24/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 antona at alleninstitute.org Mon Sep 16 20:37:05 2024 From: antona at alleninstitute.org (Anton Arkhipov) Date: Tue, 17 Sep 2024 00:37:05 +0000 Subject: Connectionists: Workshop "Data-Driven Discovery: AI and Modeling in Biology" at the Allen Institute Message-ID: Dear Colleagues, We will be livestreaming the upcoming workshop "Data-Driven Discovery: AI and Modeling in Biology" organized by Anton Arkhipov (Allen Institute), Tatiana Engel (Princeton), Michael Brenner (Harvard/Google), and Stephen Saalfeld (Janelia). Hosted by the Allen Institute on September 23-25, 2024, the meeting brings together experts who will discuss how problems in biology are being solved using recent developments in both AI and modeling. Please see the streaming link at the meeting website: https://alleninstitute.org/events/data-driven-discovery-ai-and-modeling-in-biology/ The goal of this meeting is to explore how problems in biology are being solved using cutting-edge computational approaches, with the focus on recent developments in both AI and modeling, including merging the two. Biology is a broad field. We aim to connect researchers across a wide range of computational biology to learn from each others? approaches. Agenda is below (all times listed as Pacific Standard Time). ================================================== Monday, September 23, 2024 2:00?2:15pm Welcome and opening remarks 2:15?3:15pm KEYNOTE- David Baker, University of Washington Protein design for molecular recognition 3:15?3:45pm Bing Brunton, University of Washington Embodied intelligence through integrated neuromechanical models of natural behavior 3:45?4:15pm Andreas Tolias, Stanford University NeuroAI: Building Digital Twins of the Brain Tuesday, September 24, 2024 9:00?9:30am Matheus Viana, Allen Institute for Cell Science Towards a holistic and quantitative stem cell state landscape 9:30?10:00am Kim Stachenfeld, Columbia University/Google DeepMind Learning to Simulate and Control Fluid Dynamics with Graph Neural Networks 10:00?10:30am Armita Nourmohammad, University of Washington Learning the shape of the protein and immune universe 10:30-11:00am Break 11:00?11:30am Mariano Gabitto, Allen Institute for Brain Science Deep generative models for the multimodal analysis of single-cell datasets 11:30?12:00pm Roy Kishony, Technion-Israel Institute of Technology AI driven science 12:00?12:30pm Stefan Mihalas, Allen Institute Why is the activity in the brain so variable? 12:30-2:00pm Break 2:00?2:30pm Michael Elowitz, California Institute of Technology Many-to-many protein networks as flexible computational modules Wednesday, September 25, 2024 9:00?10:00am KEYNOTE- Emily Fox, Stanford University, insitro Machine Learning for Better Medicines 10:00?10:30am Xiaojun Li, Allen Institute for Immunology Application of AI in Immunology Research 10:30-11:00am Break 11:00?11:30am Gokul Upadhyayula, University of California Berkeley Navigating challenges and opportunities with high-resolution in vivo imaging 11:30?12:00pm Laura Driscoll, Allen Institute for Neural Dynamics Fast and slow learning in artificial and biological networks 12:00?12:30pm Eric Shea-Brown, University of Washington Assigning credit through the "other? connectome 12:30-2:00pm Break 2:00?2:30pm Viren Jain, Google Simulating a zebrafish brain with functional connectomics and AI 2:30?3:00pm Kristin Branson - Janelia Research Campus, Howard Hughes Medical Institute What can we learn from deep-learning-based forecasting models of biological time series? 3:00?3:30pm Ben Cowley, Cold Spring Harbor Laboratory Mapping model units to visual neurons reveals population code for social behavior ================================================== Best regards, Anton Arkhipov Investigator, Allen Institute -------------- next part -------------- An HTML attachment was scrubbed... URL: From haoxiangsnr at gmail.com Mon Sep 16 23:55:36 2024 From: haoxiangsnr at gmail.com (=?UTF-8?B?WGlhbmcgSEFPICjpg53nv5Qp?=) Date: Tue, 17 Sep 2024 11:55:36 +0800 Subject: Connectionists: Call for Paper for Special Issue on IEEE Transactions on Cognitive and Developmental Systems Message-ID: Dear Colleagues, We are pleased to announce the call for papers for a special issue we recently organized in IEEE Transactions on Cognitive and Developmental Systems (Impact Factor: 5.0) entitled ?Bridging the Gap between Machine and Brain in Speech Processing." The aim of the Special Issue is to nurture interdisciplinary collaboration and facilitate the co-design of neuromorphic algorithms and hardware for speech processing. Its primary objective is advance the theories and models for brain-inspired speech processing while also promoting the widespread implementation of neuromorphic speech processing systems. On behalf of the editorial team, we would be delighted to feature your work and hope you will contribute an original research article/review. You can learn more about the Special Issue here: https://cis.ieee.org/images/files/Documents/call-for-special-issues/CFP-TCDS_SI-Brain-Inspired_Speech_Processing_Wu_2024.pdf As we publish on a rolling basis, you are welcome to submit your final manuscript before the deadline of 31 Dec 2024. On behalf of the editorial team Jibin Wu (The Hong Kong Polytechnic University, HKSAR, China) Haizhou Li (The Chinese University of Hong Kong, Shenzhen, China) Shih-Chii Liu (Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland) Jonathan Timcheck (Intel Labs, USA) Sumit Bam Shrestha (Intel Labs, USA) From tomas.hromadka at gmail.com Tue Sep 17 06:48:13 2024 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Tue, 17 Sep 2024 12:48:13 +0200 Subject: Connectionists: COSYNE 2025: Call for Workshop Proposals; Abstract submission is open Message-ID: <29fe42cc-5825-4ccc-8746-d20ecbe970a4@gmail.com> ==================================================== Computational and Systems Neuroscience 2025 (Cosyne) MAIN MEETING 27 March - 30 March 2025 Montreal, Canada WORKSHOPS 31 March - 01 April 2025 Mont-Tremblant, Canada www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Workshop proposal submission is now open. Workshop proposal submission deadline: 04 October 2024 Abstract submission deadline: 23 October 2024 ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ----------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. Workshop proposals deadline: 04 October 2024 To submit your Cosyne 2025 Workshop Proposal, please visit Cosyne.org -> Workshops -> Call for Proposals The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 6-10 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning and late afternoon sessions. - Workshops will be held in Mont-Tremblant, QC, Canada. - Workshop speakers do NOT receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and the workshop venue A/V staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): - Relevance to the Cosyne community - Integration of experimental and theoretical issues - Current interest in the topic in the scientific community - Potential for new research directions and interactions to emerge - Distinctive scope/approach compared to other workshops (including previous years?) - Diversity and equity in the proposed speaker (we are looking for representation of women or nonbinary individuals, individuals from other underrepresented groups, and a balance of established and early career researchers) In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a speaker can take part in no more than two Workshops. The proposals will include: - Name(s) and email address(es) of the organizers (2 organizers per session is strongly recommended, but 3 will be allowed). - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names and email addresses of speakers, who should already have agreed to participate should the proposal be accepted. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). - A description of how you have addressed diversity and equity in your workshop. Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and to have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). WORKSHOP COSTS Detailed registration costs, etc, will be at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2025 WORKSHOP CHAIRS Workshop Chairs: SueYeon Chung (NYU) and Guillaume Lajoie (MILA/U Montreal) COSYNE WORKSHOPS CONTACT workshops [at] cosyne.org ----------------------------------------------------- COSYNE 2025 COMMITTEES ----------------------------------------------------- ORGANIZING COMMITTEE General Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Program Chairs: Tatiana Engel (CSHL) and Kevin Franks (Duke) Workshop Chairs: SueYeon Chung (NYU) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chair: Talmo Pereira (Salk) DEIA Committee: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Tatiana Engel (CSHL) Co-chair Kevin Franks (Duke) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Marcus Benna (UCSD) Adrian Bondy (Princeton) Timothy Buschman (Princeton) Celine Cammarata (Duke) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Benjamin Cowley (CSHL) Carina Curto (Brown) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Arseny Finkelstein (Tel Aviv U) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Ann Hermundstad (Janelia) Michele Insanally (U Pitt) Monika Jadi (Yale) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Anna Levina (U Tubingen) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Ashok Litwin-Kumar (Columbia) Laureline Logiaco (MIT) Emily Mace (Max Planck) Francesca Mastrogiuseppe (Champalimaud) Luca Mazzucato (U Oregon) Jorge Mejias (U Amsterdam) Jonathan Michaels (York U) Eilif Muller (U Montreal) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (UCL) Chethan Pandarinath (Emory) Angelique Paulk (Harvard) Hannah Payne (Columbia) Talmo Pereira (Salk) Erin Rich (Mount Sinai) Ben Scott (Boston U) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Tatjana Tchumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details. From Donald.Adjeroh at mail.wvu.edu Tue Sep 17 12:38:05 2024 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 17 Sep 2024 16:38:05 +0000 Subject: Connectionists: Call for Papers: IEEE BIBM-LncRNA'24: Workshop on Long Non-Coding RNAs In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... See our website: BIBM- LncRNA'2024: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2024/ Paper submission deadline: Oct. 21, 2024 -- see below Call for Papers The IEEE BIBM 2024 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2024 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2024), Dec. 3-6, 2024. Though the BIBM conference will be held in Lisbon, Portugal, the LncRNA workshop will be held in a mixed mode -- both virtual/remote and in-person in Lisbon, Portugal. BIBM- LncRNA'2024: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2024/ IEEE BIBM 2024: https://ieeebibm.org/BIBM2024/ The recent application of high throughput technologies to transcriptomics has changed our view of gene regulation and function. The discovery of extensive transcription of large RNA transcripts, termed long noncoding RNAs (lncRNAs), provide an important and new perspective on the centrality of RNA in gene regulation. LncRNAs are involved in various biological and cellular processes, such as genetic imprinting, chromatin remodeling, gene regulation and embryonic development. LncRNAs have been implicated in several chronic diseases, such as cancers, and heart disease, etc. Various types of genomic data on lncRNAs are currently available, including sequences, secondary/tertiary structures, transcriptome data, and their interactions with related proteins or genes. The key challenge is how to integrate data from myriad sources to determine the functions and the regulatory mechanism of these ubiquitous lncRNAs. Research topics: The potential topics include, but not limited to, the following: lncRNA detection and biomarker discovery CLIP-Seq and RIP-Seq data analysis Prediction of physical binding between lncRNA and DNA, RNA and protein. Competition and interaction between lncRNA, miRNA and mRNA Studying methylation regulating lncRNA functions Function Prediction for lncRNAs Deep learning approaches to lncRNA/RNA binding protein prediction Computational approaches to analyzing lncRNA lncRNA 3D secondary structures lncRNA-protein interactions lncRNA in epigenetic regulation lncRNA associated diseases network lncRNAs in plant genomics lncRNAs in phenotype-genotype problems lncRNAs and single cell transcriptomics lncRNAs and spatial transcriptomics CRISPR/Cas9 and Genome editing in lncRNAs We invite you to submit papers with unpublished, original research describing recent advances on the areas related to this workshop. All papers will undergo peer review by the conference program committee. All papers accepted will be included in the Workshop Proceedings published by the IEEE Computer Society Press and will be available at the workshop. Authors of selected papers will be invited to extend their papers for submission to special issues in prestigious Journals. Journal Special Issue: Authors of selected submissions may be invited to extend their papers for submission for review and possible publication in a special issue of a journal. The journal special issue for the 2021 workshop is being published by the journal Non-Coding RNA. https://www.mdpi.com/journal/ncrna/special_issues/81CH217P14 Paper Submission: (Abstract, Short Paper, or Full Paper) Please submit your abstract (1 page), short paper (2 pages), or full-length paper (up to 8 pages in IEEE 2-column format) through the online submission system. Electronic submissions in pdf format are required. Click on this link to submit paper. Important Dates: Oct 21, 2024, 11:59:59 PM WST: Due date for full workshop paper submission. Nov 10, 2024: Notification of paper acceptance to authors Nov 21, 2024: Camera-ready of accepted papers Dec 5-8, 2024: Workshops and Conference BIBM-LncRNA'24 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2024/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefanm at alleninstitute.org Tue Sep 17 13:58:11 2024 From: stefanm at alleninstitute.org (Stefan Mihalas) Date: Tue, 17 Sep 2024 17:58:11 +0000 Subject: Connectionists: Shanahan Foundation Fellowship Message-ID: Dear colleagues, Please find out more information about a fantastic fellowship at Allen Institute and University of Washington below. Thank you, Stefan Mihalas Applications for the Shanahan Foundation Fellowship are due December 16th, 2024 The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience is once again welcoming applications. The fellowship encourages new PhDs from outside of neuroscience to apply their quantitative skills to our datasets. Early career-scientists from computer science, physics, math, and many other fields will be selected to join the Allen Institute and University of Washington for a 3-year fellowship where they will have the freedom to explore a new field and design their own research project. Applications are due December 16th, 2024. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bakurov1 at msu.edu Tue Sep 17 18:59:29 2024 From: bakurov1 at msu.edu (Bakurov, Illya) Date: Tue, 17 Sep 2024 22:59:29 +0000 Subject: Connectionists: EuroGP 2025 call for papers Message-ID: Apologies for cross-posting ********************************************************************************* Call for Papers: EuroGP 2025 - the 28th European Conference on Genetic Programming, held as part of EvoStar. 23-25 April 2025, Trieste, Italy EuroGP is a CORE Rank B conference. Submission deadline: 1 November 2024 (anytime on Earth) ********************************************************************************* 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 * LLMs and GP 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. The submission link will be available shortly. 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: * Bing Xue, Victoria University of Wellington, New Zealand * Luca Manzoni, University of Trieste, Italy Publication Chair: * Illya Bakurov, Michigan State University, USA For further information please visit https://www.evostar.org/2025/eurogp/. Best regards, Illya Bakurov. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pgarner at idiap.ch Wed Sep 18 03:29:43 2024 From: pgarner at idiap.ch (Phil Garner) Date: Wed, 18 Sep 2024 09:29:43 +0200 Subject: Connectionists: Two PhD positions Message-ID: <0c57ab58-cded-459e-bb6b-8b6020cc3edc@idiap.ch> Dear Colleagues, The Idiap Research Institute in partnership with the Department of Mathematics at Mahidol University seek two PhD students to work on Bayesian Optimisation and training techniques for spiking neural networks. Funded by the Swiss NSF, one student will be based in Martigny in the Swiss alps, the other in Bangkok in Thailand. Exchanges between the two are planned. Spiking neurons can be thought of as a type of recurrent neuron that communicates using short bursts of energy. Such neurons are much closer to current understanding of biological mechanisms than those used in current deep learning solutions. In addition to promising better understanding of biological processes, spiking nets have persuasive low-power implications. However, they present difficulties associated with their many hyperparameters, binary nature and non-differentiability of the emitted spikes. At Idiap, the project will build on our recent work that has shown that spiking networks are plausible solutions for speech processing tasks. The Bayesian approach will be twofold: In a first thread we will attempt to show that prior information can compensate for discontinuities in the error landscape arising from the binary nature. In a second thread, we will use Bayesian Optimisation techniques to handle the increased number of hyperparameters associated with spiking neurons. At Mahidol, the team will be responsible for designing frameworks for LPNet and neural networks to address the vehicle routing problem (VRP). The project will explore the effectiveness of these approaches in solving VRP and identify their limitations. The ultimate aim is to enhance VRP solutions through our spiking neural network (SNN) framework. The ideal student should have a master's (or equivalent) degree in engineering, computer science, physics, or mathematics. They should have a good background in mathematics, statistics, and programming (C/C++, Python, scripting languages). Candidates should have a deep understanding of ANNs and, ideally, familiarity with SNNs. For more information and to apply, for Idiap: https://careers.werecruit.io/en/idiap/offers/phd---bayesian-methods-for-spiking-networks-57e954 for Mahidol: https://mathematics.sc.mahidol.ac.th/scholarship-for-phd-in-mathematics-swiss-nsf-en/ The SNSF SPIRIT program is especially concerned with gender and identity inclusivity; we will emphasize this through the hiring process. In this sense, we particularly encourage applications from female candidates. Sincerely, -- Phil Garner http://www.idiap.ch/~pgarner From jessica.gliozzo at unimi.it Wed Sep 18 04:57:47 2024 From: jessica.gliozzo at unimi.it (Jessica Gliozzo) Date: Wed, 18 Sep 2024 08:57:47 +0000 Subject: Connectionists: =?windows-1252?q?IEEE_BIBM_2024_WORKSHOP_-_SAI-Ca?= =?windows-1252?q?re_2024=3A_Integrating_Symbiotic_AI_in_Biomedical_Inform?= =?windows-1252?q?atics_-_Lisbon=2C_Portugal=2C_3_=96_6_December_2024?= Message-ID: IEEE BIBM 2024 WORKSHOP SAI-Care 2024: Integrating Symbiotic AI in Biomedical Informatics A Workshop on Advanced SAI-based applications in Healthcare Lisbon, Portugal, 3 ? 6 December 2024 Website: https://caislab.di.unisa.it/sai-care-2024/ Workshop Overview The integration of artificial intelligence (AI) into the biomedical field represents a groundbreaking frontier in both research and practical application of medicine. With the exponential growth of biomedical data, AI has emerged as a crucial tool for analyzing vast amounts of information, uncovering complex hidden patterns, and supporting critical clinical decisions. In the context, Symbiotic AI (SAI) explores the synergistic relationship between artificial intelligence systems and human users, aiming to enhance collaboration and coexistence between the two entities. This symbiotic relationship empowers healthcare professionals with advanced analytical capabilities, enabling them to make more accurate diagnoses, personalize treatment plans, and optimize patient care pathways. Call for Paper The workshop aims to explore the synergy between SAI and biomedical informatics, emphasizing the integration of AI technologies into reliable and Symbiotic Computer-Aided Diagnosis (SCAD) systems. Topics include advanced AI-based applications in healthcare, with a particular focus on explainable AI models to ensure transparency and reliability in medical decision-making processes. Participants will explore how SCAD systems symbiotically enhance diagnostic accuracy, treatment planning, and patient care pathways within the biomedical informatics landscape. Potential topics for the workshop could include but non are limited to: * AI-driven diagnostic tools in healthcare * Applications of AI models in personalized medicine * eXplainable in the use of AI in biomedical informatics * Implementing AI algorithms for medical imaging analysis * Natural language processing in healthcare informatics * Predictive analytics for disease prevention and early detection * AI-powered drug discovery and development * Challenges and opportunities in integrating AI into clinical workflows * Design of symbiotic AI systems for healthcare * The role of AI in improving healthcare delivery and patient outcomes Important Dates Oct 10, 2024: Due date for full workshop papers submission Nov 5, 2024: Notification of paper acceptance to authors Nov. 21, 2024: Camera-ready of accepted papers Dec 3-6, 2024: Workshops =========================================================================== Jessica Gliozzo, PhD Post-Doctoral Researcher @ Dept. of Computer Science - Universit? degli Studi di Milano e-mail: jessica.gliozzo at unimi.it Anacleto Lab - Comp. Biology and Bioinformatics Lab website: http://anacletolab.di.unimi.it Save the planet! Print this email ONLY if necessary. =========================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Wed Sep 18 09:29:10 2024 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Wed, 18 Sep 2024 14:29:10 +0100 Subject: Connectionists: [Deadline approaching] Cognitive Neuroscience Research positions in Coimbra Portugal - open call for 2024 Message-ID: Sorry for the cross posting! If you or someone you know is interested, please let me know ASAP (send me an email with a CV and a cover letter) The Proaction Laboratory (proactionlab.fpce.uc.pt) at the University Coimbra Portugal is looking for Researchers at initial stages (post-PhD) of their career to be part of the lab in a joint competitive application to a Portuguese Science Foundation (FCT) independent researcher call. We particularly encourage applications from women, and from underrepresented groups in academia. The applicants should have obtained a PhD, and have an interest in cognitive neuroscience, vision science and preferably (but not limited to) object recognition, shape processing, and texture and surface processing. We are particularly interested in motivated and independent Researchers addressing these topics with strong expertise in fMRI (in particular decoding and multivariate approaches). Good programming skills, great communication and mentoring skills, and a great command of English are a plus. The applicant and the lab will work on a competitive project to be submitted. Results from the application are expected to be out mid 2025. The application will be open September 30, and will close November 29, 2024. The positions are as independent researchers in the Proaction Lab, are for 3 years, and the salary is the same as the Portuguese payroll for University Professors (net values for junior or assistant positions, for instance are approximately 1700 or 2100 euros net-value per month in a 14-month salary per year; these are competitive salaries for the cost of living in Portugal and especially in Coimbra). The Proaction Lab is currently very well funded as we have a set of on-going funded projects including a Starting Grant ERC to Jorge Almeida, a major European ERA Chair project to Jorge Almeida and Alfonso Caramazza, and other projects. We have access to a 3T MRI scanner with a 32-channel coil, to tDCS, and to a fully set psychophysics lab. We have a 256 ch EEG, motion tracking and eye-tracking on site. We also have a science communication office dedicated to the lab. Finally, the University of Coimbra is a 700-year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the liveliest university cities in the world, and it is a beautiful city with easy access to the beach and mountain. You should apply as soon as you can - the sooner the better so that we can prepare the application. If interested send an email to jorgecbalmeida at gmail.com, with a CV, and motivation/scientific proposal letter. If there is a fit, we will jointly apply to these positions ? we have had in past applications a high success rate as a lab (in four previous editions, we got several applications that were offered a position). -------------- next part -------------- An HTML attachment was scrubbed... URL: From bisant at umbc.edu Wed Sep 18 13:54:51 2024 From: bisant at umbc.edu (David B) Date: Wed, 18 Sep 2024 13:54:51 -0400 Subject: Connectionists: CFP: FLAIRS38, Neural Network Special Track, Daytona Beach, FL, May 20-23 Message-ID: *Neural Networks and Data Mining Special Track* *at the * *38th International FLAIRS Conference* Abstract submission deadline: January 20, 2025 Paper submission deadline: January 27, 2025 Paper Acceptance Notification: March 10, 2025 *Daytona Beach, Florida, USA, May 20-23, 2025Call for Papers* The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are not limited to): Applications such as Pattern Recognition, Applications, Generative AI methods and applications, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cybersecurity, remote sensing, earth sciences, bioinformatics, and astronomy. Neural networks such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; Hybrid approaches such as Neural Networks/Genetic Algorithms, Causal Nets trained with Backpropagation, Neural Network/Fuzzy Logic and Acceleration of neural network models via software or hardware. Other modeling algorithms such as hidden Markov models, decision trees, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction;and knowledge engineering or warehousing. *Submission Guidelines* Papers must follow the FLAIRS template guidelines ( https://www.flairs-38.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers else where during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. *Conference Proceedings* Papers will be refereed and all accepted papers will appear in the conference proceedings. *Track Co-chairs:* David Bisant, Central Security Svcs, bisant at umbc.edu Steven Gutstein, Booz Allen Hamilton, s.m.gutstein at gmail.com Lenin Mookiah, eBay, lenin.world at gmail.com *Program Committee Members:* Martin Atzmueller(University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (SomaLogic, USA) Chiranjit Dutta (eBay, USA) Sirisha Velampalli (Brane Enterprise, India) Tomasz Palczewski (SAP, USA) Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation) Sheikh Rabiul Islam (University of Hartford, USA) Lawrence Holder (Washington State University, USA) Diane Cook (Washington State University, USA) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Prabin Lamichhane (Mastercard) -------------- next part -------------- An HTML attachment was scrubbed... URL: From lionel.cervera at uca.es Thu Sep 19 07:18:06 2024 From: lionel.cervera at uca.es (Lionel Cervera Gontard) Date: Thu, 19 Sep 2024 13:18:06 +0200 (CEST) Subject: Connectionists: =?iso-8859-1?q?International_Conference_on_Neonat?= =?iso-8859-1?q?al_Neuroimaging_and_Monitoring_=26_3rd_Neonatal_Neuroimagi?= =?iso-8859-1?q?ng_Workshop=2C_24-26_October_2024=2C_C=E1diz=2C_Spain?= Message-ID: <1514969071.7978.1726744686779.JavaMail.webmerlin@cedric3.uca.es> Dear Connectionists, We are pleased to introduce the jointly organized event, "International Conference on Neonatal Neuroimaging and Monitoring & 3rd Neonatal Neuroimaging Workshop," which will take place in C?diz, Spain, from October 24th to 26th. The event offers presentations and practical training, both technical and clinical, with national and international speakers and instructors. The event aims to leverage the expertise in pediatric neurodevelopmental training and dissemination of the NeNe Foundation (https://www.neurologianeonatal.org/ [ https://www.neurologianeonatal.org/ ] ) of Spain, along with the neonatal neurodevelopmental research carried out by the European research consortium PARENT "PremAtuRe nEwborn motor and cogNitive impairmenTs: Early diagnosis " (https://parenth2020.com/ [ https://parenth2020.com/ ]). By combining the strengths of both entities, the event, which will be held over 3 days in C?diz, will offer a unique synergistic approach, facilitating the transfer of knowledge between researchers and clinicians. The initiative is designed to strengthen interdisciplinary research and intersectoral transfer of research outcomes, presenting participants with insights into the complexities of pediatric neurology. * On Day 1, Thursday October 24th , there will be practical workshops on transfontanellar ultrasound techniques and AI technologies for digital neuroimaging processing. * On Day 2, Friday October 25th , there will be two parallel sessions. One with a clinical focus, presenting cutting-edge results and methods for the use of neonatal neuroimaging with transfontanellar ultrasound or magnetic resonance imaging. The other session will be more technical, with speakers from various countries and institutions showcasing the potential of discriminative and generative artificial intelligence in healthcare for these patients, the presentation of new optical sensing methods for neonatal monitoring, and the validation of new technologies resulting from pediatric research in hospital consortia. There will also be talks and labs on other imaging techniques and a practical workshop on technology transfer in healthcare. * On Day 3, Saturday October 26th , there will be a dissemination session aimed at the public, presenting the results of the PARENT project, as well as a session by the NeNe Foundation for families of children who have received care in a NICU. The full brochure & registration procedure are attached as pdfs. Online attendance is possible for the technical session of Day 2, 25th of October. For more precise or specific info, please, do not hesitate to contact us. This event is co-funded by "PremAtuRe nEwborn motor and cogNitive impairment: Early diagnosis" PARENT Project which is supported by the European Union[rsquo]s Horizon 2020 Research and Innovation Programme through the Maria Sklodowska-Curie Innovative Training Network 2020 (Grant 956394), and by "diGitAL twin frAmework for TailorEd infAnt nutrition" GALATEA R&D program (Grant 101183057). Best wishes-- Lionel Cervera Gontard (Researcher) lionel.cervera at uca.es [ mailto:lionel.cervera at uca.es ] Department of Condensed Matter Physics Research Group GOAL (Graphical Methods, Optimization and Learning) University of C?diz -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: BROCHURE_INT CONF NEUROIMAGING_CADIZ_ 2024.pdf Type: application/octet-stream Size: 2328482 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: HOW TO DO THE REGISTRATION.pdf Type: application/octet-stream Size: 775588 bytes Desc: not available URL: From horacio.rostro at iqs.url.edu Thu Sep 19 07:18:59 2024 From: horacio.rostro at iqs.url.edu (=?utf-8?B?Um9zdHJvIEdvbnrDoWxleiwgSG9yYWNpbw==?=) Date: Thu, 19 Sep 2024 11:18:59 +0000 Subject: Connectionists: [JOB] PhD position at IQS - URL in Barcelona Message-ID: Dear all, The ?Enric Juli? Dan?s Predoctoral Researcher Funding Contract? sponsors a three-year contract to pursue a PhD at the IQS School of Management (Universitat Ramon Llull) in Barcelona, Spain under the ?Business and Territorial Competitiveness, Innovation and Sustainability? doctoral programme. It includes an employment contract (annual stipend around 22.000 ? ? full time), starting in January 2025 to work on the project focused on Comprehensive AI for Relational and Life Assistance. It covers all tuition fees for the Doctoral Programme, during the three years, as well as some costs and stipends for relocation. It provides a unique opportunity to work with the IQS Applied Data Analytics and Modeling IQS (ADAMIQS) Research Group. The thesis will be supervised by Dr. Albert Fornells Herrera from the Math and Data Analytics Department and by Dr. Horacio Rostro, from the Industrial Engineering Department. What is the general project? ALL-TARGET is a European project developed in collaboration with different hospitals and research centers such as Josep Carreras Leukemia Research Institute in Spain. The aim of the project is focused on developing precision medicine randomized trial for patients with relapsed or refractory Tcell Acute Lymphoblastic Leukemia. This PhD Schoolarship is aligned within this project by developing a mobile application to enhance the quality of life for patients called CARLA (Comprehensive AI for Relational and Life Assistance). The system is designed to facilitate patient interactions and proactively detect emotional needs that may require specialized intervention by a psycho-oncologist. The research includes studying the capabilities of artificial intelligence for content generation, characterizing emotional states through interactions, and implementing systems for emotional identification and interaction facilitation. Thus, the system will function as a 24/7 assistant, allowing specialists to focus on supervision and intervention, with potential extrapolation to other diseases. Key Responsibilities The doctoral researcher will be working at the IQS School of Management. He or she is expected to carry out the concrete work for his PhD and to contribute to the development of CARLA. He or she should also assume assisting teaching responsibilities of one to three hours per week. He or she is also expected to participate in different training courses and research activities and to assume responsibilities directly related to the research group. We invite applications from students with a strong academic record from a wide range of fields related to social sciences. Candidates should possess the following capabilities: * Quantitative data analysis skills (database management and basic inferential statistics with excel, SPSS, R or Stata). * Academic background (MSc.) in computer sciences or disciplines related to human behavior with a strong focus on programming and data analytics. Not mandatory, but valued skills: * Experience in programming and data analysis using tools such as Stata, R, MATLAB, and/or Python. * Experience in mobile applications development. * Experience in biosignals analysis. * Interpersonal and communication skills and basic command of Spanish language Prospective candidates are asked to submit a proposal and work plan with concrete and innovative suggestions about how to explore consumers? rejection of sustainable products according to their own fields of expertise. Those interested in applying should submit the following documentations before the deadline of October 14th 2024: 1. Proposal and work plan (max. 2000 words) 2. Transcripts for all university degrees and courses (copies are accepted at the application stage) 3. Curriculum Vitae 4. Letter of motivation 5. Two letters of recommendation (at least one from an academic source) 6. English proficiency (demonstrated by TOEFL, IELTS scores or equivalent competencies) If you have any questions about this position, you can contact Dr. Fornells (albert.fornells at iqs.url.edu) or Dr. Rostro (horacio.rostro at iqs.url.edu). Short-listed candidates will be interviewed online. The decision will be notified within a month from the closure of the application period around November 18th 2024. The chosen candidate should confirm acceptance of the grant offer within a maximum period of one month. The candidate must formalize his/her enrolment in the IQS doctoral programme within an estimated time of three months from the date that the notification of the decision is received. We expect the successful candidate to start by January 2025 or as soon as possible thereafter. The candidate will be employed in compliance with Spanish legislation and regulations, receiving the benefits of the Spanish Social Security System, covering sickness, maternity/paternity leaves and injuries at work. We are an equal opportunity employer. We promote equality and inclusion. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law. We strongly welcome applications from female candidates as they are currently under-represented at this level in this field of knowledge in our Center. We also promote scientific and technological knowledge, business transformation and societal progress. At IQS we look for professionals committed to both these values. Best wishes, [Image] Dr. Horacio Rostro-Gonz?lez Associate Professor Department of Industrial Engineering [Image] Via Augusta 390, 08017, Barcelona, Spain Tel.: +34 932 672 000 (Ext: 0000) horacio.rostro at iqs.url.edu www.iqs.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 36043 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 75086 bytes Desc: image002.png URL: From efipatm at gmail.com Fri Sep 20 05:35:52 2024 From: efipatm at gmail.com (Efi) Date: Fri, 20 Sep 2024 12:35:52 +0300 Subject: Connectionists: Call for Fall 2024/Winter 2025 International AI Doctoral Academy (AIDA) course proposals Message-ID: Dear Al Professors, Postdocs or Senior AI researchers, 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 International 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. AIDA had an excellent AI course offer in the past 3 years: 41 short courses and 41 semester courses with more than 3300 registrants. This semester (Fall 2024/Winter 2025) AIDA offers an exciting selection of short, semester courses and web-lecture series designed to deepen your knowledge and skills. Below is a list of the scheduled courses for this semester offered by top AI Universities: * Constraint Programming * Big Data Analytics for Natural Disaster Management (NDM) * Deep Learning and Computer Vision for Industrial Infrastructure Inspection * Artificial Intelligence, digital markets and consumers * Large Language Models Development with Python and Hugging Face * Advanced Computer Vision * Digital Image Processing * Computer Vision and Machine Learning - Web Lecture Series *We invite you to contribute to this initiative for the definition of the AIDA Fall semester program (from Sept 1st, 2024, to January 31st, 2025) by offering courses and becoming part of this vibrant learning community*. 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 Fall semester program should be sent to: Prof. Stefano Berretti stefano.berretti at unifi.it, and Ms. Efi Patmanidou epatmanidou at iti.gr and will be evaluated by the AIDA Committee. Any qualified Al Professor/Postdoc or Senior AI researcher (PhD holder) can apply to offer a course, no matter if she/he belongs to a host University that is an AIDA member or not. The course lecturer(s) and their host University/Institution define course fees and other course-related issues. * AIDA Students (PhD students, Postdoc researchers, possibly qualified MSc students of AIDA Members). >>> Please find the details of what should be included in the course proposals in the AIDA Course Application Form here . Best regards, Prof. Ioannis Pitas (on behalf of Prof. Berretti) AIDA Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From susan.fischer at tue.mpg.de Fri Sep 20 08:50:05 2024 From: susan.fischer at tue.mpg.de (Susan Fischer) Date: Fri, 20 Sep 2024 14:50:05 +0200 Subject: Connectionists: Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany Message-ID: <9F818EA2-F828-46BE-8AB4-C90D8389F6EA@tue.mpg.de> **Apologies for cross-posting** Dear colleagues, The "Developmental Computational Psychiatry" lab and the W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of T?bingen (Germany) is currently hiring new postdocs. The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with experimental & neuroimaging background * Postdoc with computational modelling background More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. Best regards, Susan. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & W3-Professorship ?Computational Psychiatry?, Prof Tobias Hauser Eberhard Karls Universit?t T?bingen Equal Opportunities Officer Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 72076 T?bingen Germany ************************************************ -------------- next part -------------- An HTML attachment was scrubbed... URL: From fzenke at gmail.com Fri Sep 20 09:14:46 2024 From: fzenke at gmail.com (Friedemann Zenke) Date: Fri, 20 Sep 2024 15:14:46 +0200 Subject: Connectionists: SNUFA 2024 abstract submission closing soon Message-ID: This is a friendly reminder that the SNUFA 2024 abstract submission closes soon (deadline Sept 27). SNUFA 2024: 5-6 November (online)--your friendly online focus meeting on spiking neural networks that compute. See https://snufa.net/2024 for details. This year's invited speakers are Chiara Bartolozzi (IIT Genova), David Kappel (University of Bochum), Anna Levina (Uni T?bingen), and Christian Machens (Champalimaud). Like every year, 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. The workshop is traditionally online. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We aim to have a manageable number of talks with ample discussion time. SNUFA 2024 is brought to you by Melika Payvand, Laurent Perrinet, Dan Goodman, and Friedemann Zenke. -- https://snufa.net/2024 From maria.m.hedblom at gmail.com Sun Sep 22 04:44:41 2024 From: maria.m.hedblom at gmail.com (Maria Hedblom) Date: Sun, 22 Sep 2024 10:44:41 +0200 Subject: Connectionists: JOBS: 3 tenured Asst. Prof. at the Department of Computing, Jonkoping School of Enginnering (SE) Message-ID: *Please spread this open call to interested parties.* Open Positions: Assistant Professor in Computer Science *School of Engineering is recruiting three Assistant Professors in Computer Science with specializations in?Deep Learning and reinforcement learning, Software engineering for AI or ML and/or Trustworthy AI* -- NOTE: Application deadline September 30th, 2024. -- We offer three full-time and permanent positions as Assistant Professor in Computer Science. The positions include teaching activities, research and co-operation with industry. We are looking for new colleagues who are interested in contributing to our academic environment and who are committed to student learning, actively contribute to your own research and are interested in collaborating with industry. The specific roles are: *Reinforcement Learning and Deep Learning * - Expertise in machine learning with a focus on reinforcement learning and deep neural networks. - Strong research background in developing and applying advanced neural network models to complex real-world problems. - Proven experience in advancing AI methodologies and contributing to the academic community through research and publications. *Software Engineering for Machine Learning (SE4ML) * - Expertise in the intersection of software engineering principles and machine learning system design. - Research background in building scalable, maintainable, and efficient machine learning infrastructure. - Experience with MLOps, version control for models, deployment strategies, and ensuring the quality of machine learning codebases. * Trustworthy AI * - Expertise in AI interpretability, explainability, and the development of reliable and trustworthy AI systems. - Research background in understanding how machine learning models make decisions and ensuring robustness in AI algorithms. - Experience in designing solutions that address ethical and legal implications of AI deployment in real-world applications. Teaching is primarily campus-based, performed in both English and Swedish, and distributed over the academic year. Particularly relevant to these positions is teaching in the first and second cycle of education. Academic staff are also expected to participate in Departmental and University activities and administration and collaborate with other academics in the Department's teaching and research activities. *We offer *an equal and inclusive workplace, and we strongly encourage applications from persons with diverse backgrounds (gender, ethnic background, and nationality). As an employee, you are entitled to favourable benefits regulated in Swedish law and agreements, as well as the benefits offered by J?nk?ping University. Collective agreements and individual salary settings are applicable. Employment starts at the earliest convenience. *Our school * The School of Engineering is one of four schools within J?nk?ping University. We offer attractive technical education at undergraduate and graduate levels and conduct advanced research in several technological areas. At the School of Engineering, research and teaching are conducted in computer science, computer engineering, and informatics. We have two expanding departments in these areas, with nearly 50 employees. The School of Engineering is able to award doctorates in the area of industrial product realization. We collaborate with the surrounding society to develop new technology and spread knowledge to strengthen the competitiveness of companies. We have been awarded the accreditation "Engaged University" by the international organization ACEEU (Accreditation Council for Entrepreneurial and Engaged Universities) We are located in the city of J?nk?ping in the south of Sweden at a convenient city campus in an environmentally friendly and safe environment with plenty of sports and outdoor activities nearby. Please note if you are interested in more than one role you need to apply for them explicitly. Follow the links below *to apply and for more information* about the positions and qualifications: - Reinforcement Learning and Deep Learning - Trustworthy AI - Software Engineering for Machine Learning (SE4ML) Welcome with your application *no later than 30th of September 2024. * -------------- next part -------------- An HTML attachment was scrubbed... URL: From jip.dekker at monash.edu Sun Sep 22 20:01:38 2024 From: jip.dekker at monash.edu (Jip Dekker) Date: Mon, 23 Sep 2024 10:01:38 +1000 Subject: Connectionists: =?utf-8?q?=5BCPAIOR_2025=5D_=E2=80=94_Call_for_Pa?= =?utf-8?q?pers?= Message-ID: <7B367F07-3F88-4698-9E3A-32E2239BD535@monash.edu> The 22nd International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research will be held in Melbourne, Australia from November 10 to November 13, 2025. The conference will be co-located with ICAPS 2025 . While the conference will take place later in the year than usual, papers are still due in December 2024, to not interfere with the usual sequence of conference deadlines. The aim of the conference is to promote a space where researchers from Constraint Programming (CP), Artificial Intelligence (AI), and Operations Research (OR) present innovative techniques, new applications, and original cutting-edge ideas, thereby encouraging researchers from one area to learn from the others. Of particular interest to the conference are papers that integrate concepts and methodologies from these different fields, either proposing interesting new techniques for complex/practical problems or expanding our theoretical insights and cross-field understanding. However, high-quality original papers from a single area are welcome when also relevant to the other communities involved. The conference also strongly encourages regular papers or experience reports showcasing CP/AI/OR techniques on challenging real-world applications. The program committee invites submissions that include, but are far from limited to, the following topics: New methodologies in the interface between predictive and prescriptive pipelines, such as machine learning techniques applied to tackle optimization problems and, conversely, CP/OR techniques to address AI and machine learning tasks. Novel relaxation and inference methods based on constraint propagation, polyhedral techniques/cutting planes, convex/second-order conic optimization, graph-based algorithms, dynamic programming, and decision diagrams for optimization. New search perspectives involving enumeration/branch-and-bound strategies, innovative decomposition techniques (e.g., based on column generation/Benders), intelligent backtracking, incomplete search, and learning-based heuristics. Advanced integrated methods that expose new model transformations, communication strategies across MIP/CP/SAT solvers, distributed solution techniques, and solver selection (e.g., portfolio approaches). Innovative models and applications of CP/AI/OR techniques. Implementation or evaluation of CP/AI/OR techniques and optimization systems. Submissions are of two types: regular papers (submitted for publication and presentation) and extended abstracts (submitted for presentation only). The conference will recognize a distinguished paper award and a student paper award. Instructions for Regular Papers Regular papers present original unpublished work and can be of two types: long papers (at most 15 pages plus references) short papers (at most 8 pages plus references) Both long and short papers will undergo rigorous review and are subject to the same criteria of quality. Both types are also eligible for the distinguished paper or student paper award. Short papers are particularly encouraged for interesting and novel work in progress, for which the practical or theoretical relevance is not yet fully identified. The conference proceedings will be published in the Springer Lecture Notes in Computer Science series . All regular papers should be prepared in the format used for that series (LNCS instructions ). Submission schedule for regular papers (both long and short): Abstracts: December 8, 2024 (AoE: anywhere on Earth) Full papers: December 15, 2024 (AoE, no extension possible) Rebuttal Phase: January 26-29, 2025 (AoE) Notification: February 10, 2025 Camera ready: TBA Papers submitted to CPAIOR must not be under review at a different venue at the same time during the reviewing period. Abstracts can be submitted if the paper is still under review elsewhere, but the paper will have to be withdrawn by the full paper submission deadline from CPAIOR or the other venue. Instructions for Extended Abstracts Extended abstracts should be one or two pages in length and may present preliminary work or work already published in other outlets. The extended abstracts are submitted for presentation only (if accepted), and will not be formally published in the LNCS conference volume. A collection of the accepted extended abstracts will be published on the conference website. A submission representing work submitted or published in another outlet should state that outlet. Extended abstracts will be reviewed to ensure appropriateness for the conference. Submission schedule for extended abstracts: Abstract: August 2025 (TBA) Notification: September 2025 (TBA) Submission Process Submissions to CPAIOR are single blind. In a single blind review process, the author names are not hidden for the reviewers, but the reviewer names are hidden for the authors. The submission link will be posted on the conference website in early October. For any queries on the submission process, please contact the Program Chair Guido Tack at cpaior2025 at gmail.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From zoran.tiganj at gmail.com Sun Sep 22 12:30:40 2024 From: zoran.tiganj at gmail.com (Zoran Tiganj) Date: Sun, 22 Sep 2024 12:30:40 -0400 Subject: Connectionists: Multiple Tenured and Tenure-Track Faculty Positions in Human Intelligence, Artificial Intelligence and Machine Learning Message-ID: The College of Arts and Sciences and the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington invite applications for multiple open-rank, tenured or tenure-track faculty positions in one or more of the following areas: artificial intelligence, human intelligence, and machine learning to begin in Fall 2025 or after. Appointments will be in one or more departments, including Cognitive Science , Computer Science , Informatics , Intelligent Systems Engineering , Mathematics, and Psychological and Brain Sciences . We encourage applications from scholars who apply interdisciplinary perspectives across these fields to a variety of domains, including cognitive science, computational social sciences, computer vision, education, engineering, healthcare, mathematics, natural language processing, neuroscience, psychology, robotics, virtual reality, and beyond. Reflecting IU?s strong tradition of interdisciplinary research, we encourage diverse perspectives and innovative research that may intersect with or extend beyond these areas. The positions are part of a new university-wide initiative that aims to transform our understanding of human and artificial intelligence, involving multiple departments and schools, as well as the new Luddy Artificial Intelligence Center . *Application Procedures:* To apply, submit a CV, letter of application that describes your research, teaching, and engagement with fostering a diverse and welcoming work environment, and provide the names of three references. References will only be contacted for those candidates moving to advanced stages of consideration. Interested candidates should submit applications at: https://indiana.peopleadmin.com/postings/25788. Application review begins November 1, 2024, but we welcome submissions after this date. We accommodate varied timelines across disciplines to ensure all qualified applicants are considered. The position?s expected start date is August 1, 2025; however, alternative dates can be considered. All queries about the position or the application procedures may be addressed to faculty1 at indiana.edu. ---- Zoran Tiganj, PhD Assistant Professor Department of Computer Science Luddy School of Informatics, Computing, and Engineering Department of Psychological and Brain Sciences Indiana University Bloomington https://homes.luddy.indiana.edu/ztiganj/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From i.lin at ucl.ac.uk Sun Sep 22 18:42:19 2024 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Sun, 22 Sep 2024 22:42:19 +0000 Subject: Connectionists: Gatsby Unit PhD Programme 2025: Applications now open Message-ID: <81E5AD82-30AE-45FD-BC94-75B81EA1F420@ucl.ac.uk> PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 11 November 2024 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The Unit provides a unique opportunity for a critical mass of theoreticians to interact closely with one another and with researchers at the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments such as Computer Science; Statistical Science; Artificial Intelligence; the ELLIS Unit at UCL; Neuroscience; and the nearby Alan Turing and Francis Crick Institutes. Our PhD programme provides a rigorous preparation for a research career. Students complete a 4-year PhD in either machine learning or theoretical/computational neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with SWC/CSML researchers to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/gatsby-unit-phd-programme. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.villavicencio at sheffield.ac.uk Mon Sep 23 17:29:43 2024 From: a.villavicencio at sheffield.ac.uk (Aline Villavicencio) Date: Mon, 23 Sep 2024 22:29:43 +0100 Subject: Connectionists: Modeling Climate Change: Towards more harmonious and resilient human settlements Message-ID: Dear all, We are hosting an online panel about recent and devastating extreme climate events, the role of science in modelling, predicting and responding to these events, and how science can inform and support response and replanning efforts. Modeling Climate Change: Towards more harmonious and resilient human settlements The event is online and open to all, and details about how to join are included below. Can you please forward this invitation to colleagues? We hope to see you there. Aline Villavicencio (Institute for Data Science and Artificial Intelligence, University of Exeter, and University of Sheffield, UK) Marco Idiart (Federal University of Rio Grande do Sul, Brazil) On behalf of the organising committee ??????????????? Modeling Climate Change: Towards more harmonious and resilient human settlements Date: September 27, 2024, 3pm UK Website: https://sites.google.com/view/climate-change-southern-brazil Location:?Join the Zoom Meeting https://Universityofexeter.zoom.us/j/91435912802?pwd=KC4M7HxkKljx8HJb3sE23H9M2nwMtw.1 Meeting ID: 914 3591 2802 Password: 164009 Human settlements alter the course of rivers, narrow their banks, and eliminate forests and wetlands, ecosystems that retain water and allow its absorption into the soil. For decades or even centuries, it was possible to avoid natural disasters simply by erecting protective barriers to prevent the waters from returning to their natural beds. On the other hand, global warming destabilizes the climate and increases the frequency of extreme weather events such as excessive rainfall and floods. This makes the protections for villages and cities less effective, leading to major climatic disasters as observed in southern Brazil. There is consensus that the frequency and severity of these events will tend to increase in coming years, and therefore, we must consider what kind of planning we should make for the future. Either we continue to build increasingly larger dams, dikes and barriers, or we need to rethink human occupation of territories. In this panel, we discuss how to replan or relocate climate affected settlements, making them more harmonious with nature and resilient to climatic effects, and how data science and artificial intelligence can assist us in this. A Discussion with: Ricardo Campos (University of Exeter, UK) Marina Hirota (Federal University of Santa Catarina, Brazil) Tiago de Melo Cartaxo (University of Exeter, UK) Marcia Zilli (University of Oxford, UK) Moderator: Ronaldo Menezes (University of Exeter, UK) More information is available on the website ; registration is not required. ? ---------------------------------------------------- Prof. Aline Villavicencio? (she/her) Chair in Natural Language Processing Department of Computer Science, University of Sheffield https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CARTAZ - Modeling Climate Change - Towards more harmonious and resilient human settlements.pdf Type: application/pdf Size: 897126 bytes Desc: not available URL: -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Mon Sep 23 23:47:04 2024 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 24 Sep 2024 09:17:04 +0530 Subject: Connectionists: For ISMSI 2025 (Tokyo, Japan) Message-ID: Dear esteemed colleagues, This is to gently remind you that the submission deadline for 2025 9th ISMSI (Tokyo, Japan), an annual event of llCCl, is less than 2 months away. For more information, pls.visit https://www.ismsi.org Hope to receive your and your peers manuscripts in the coming days. Thanks and best regards, Suash Deb General Chair, ISMSI 2025 -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Mon Sep 23 18:59:23 2024 From: nsmattei at gmail.com (Nicholas Mattei) Date: Mon, 23 Sep 2024 17:59:23 -0500 Subject: Connectionists: Call For Participation: HCOMP 2024 for the PACE Workshop: Participatory AI for Community Engagement Message-ID: ? Join us at HCOMP 2024 for the PACE Workshop: Participatory AI for Community Engagement! We are happy to announce the upcoming PACE Workshop and invite researchers from all fields working on participatory approaches for public sector responsible AI. ? Date: October 16?19, 2024 (Exact day will be announced soon) ? Venue: HCOMP 2024 at Pittsburgh, PA ? Submission Categories: - Work-in-progress papers: Present initial research findings or innovative ideas in the early stages of development. - Position papers: Offer literature reviews, reveal systematic shortcomings, or propose new Responsible AI solutions for the public sector. - Artifact papers: Include software, prototypes, pictorials, etc., described in an accompanying short paper. All submissions should be 5000 words or less (excluding references and appendices). ? Workshop Highlights: - Keynote by a leading community organization in public sector AI - Paper sessions presenting cutting-edge research - Interactive discussion activities on auditing and accessibility in AI ? Submission Deadline: Oct 4, 2024 For more details and to submit your work, visit our website: https://tulanecs.github.io/PACE/. Submissions can be made through CMT portal: https://cmt3.research.microsoft.com/PACE2024/Submission/Index -- *Nicholas Mattei* Associate Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 305B +1 504 865 5782 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Tue Sep 24 04:04:59 2024 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Tue, 24 Sep 2024 10:04:59 +0200 Subject: Connectionists: CBMS 2025 Call for special tracks Message-ID: ******************************************************* [Apologies for cross-postings] You can find all the information about the call at: https://2025.cbms-conference.org/call-for-sts/ ******************************************************* *CBMS 2025 **Call for special tracks* ----------------------------------------------- *The 38th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS 2025 ) will be held at the Universidad Polit?cnica de Madrid (Escuela T?cnica Superior de Ingenier?a Agron?mica, Alimentaria y de Biosistemas), Madrid, Spain, from Wednesday 18th to Friday 20th of June 2025. *Attracting a worldwide audience, CBMS is the premier conference for computer-based medical systems, and one of the main conferences within the fields of medical informatics and biomedical informatics. IEEE CBMS 2025 invites proposals for organization of special tracks that will be held in parallel with the general conference track. The themes of the special tracks should not overlap with the general conference topics and should focus on emerging research fields. All tracks are expected to enable stimulating discussions of state-of-the-art, emerging, visionary, and perhaps controversial topics. Their papers should report on significant unpublished work and must meet the same standards as main conference papers. All accepted papers will be included in the conference proceedings. We expect all accepted tracks to adhere to the conference paper submission and reviewing schedule, as outlined in the dates indicated below. Special Tracks chair(s) will be interacting with organisers of accepted workshops to ensure a high-quality workshop program. In the case of detecting several similar submissions, the CBMS 2025 organization can propose the fusion of those proposals. *Special Track requirements* The organizers of a special track must comply with a set of principles and obligations, listed below: - A *specific webpage with information about the special track will be created* by CBMS after the acceptance notification. The organizers must provide the following information to be added to such webpage: special track description, list of topics, call for papers, submission information (must be the same as CBMS 2025 regular track), special track organizers, special track program committee members, any other relevant information. - *The organizers of the special track are responsible for the peer-review process within their track*. They must add their own Program committee members/reviewers to the submission platform, ensure that receive all the reviews on time, check the quality of the reviews, and establish the acceptance/rejection decision. The final decision will be sent by CBMS 2025 PC Chairs. They also must pay special attention to potential conflicts of interest and ensure that all the general ethical rules of research are followed. - *At least one of the organizers of the special track must register and attend to CBMS 2025 in Madrid*. The organizer(s) who attend CBMS will also chair the specific session that will be assigned in the agenda to their track. - *The organizers of the special track are responsible for the publicity of their track to try to win as many submissions as possible*. Please bear in mind that a special track with less than 4 accepted papers could be canceled. In this case, the accepted papers will be moved to the regular track. *Download Call For Special Tracks! * *Important Dates* - *Deadline for special track proposal:* November 8, 2024 - *Special track notification acceptance:* November 15, 2024. *Submission Guidelines* Each proposal must include: 1. Special track title 2. Rough estimate of the expected ST size as number of sessions (with 4-5 papers per session) 3. A brief biography of ST organizer(s) 4. List of Special Track program committee members 5. A draft of Special Track ?Call for papers? (important dates must be the same of the main conference, reported below) 6. One or two appropriate journals or follow up publications: tracks are expected to organize a special issue, if planned. 7. *The proposal must be sent to info[at]cbms-conference[dot]org* *CBMS Special Track Chairs* - Alba Garc?a Seco de Herrera - Gilberto Ochoa-Ruiz - Sharib Ali *Other information* For more information, please contact info[at]cbms-conference[dot]org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Tue Sep 24 13:58:57 2024 From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=) Date: Tue, 24 Sep 2024 17:58:57 +0000 Subject: Connectionists: DATA SCIENCE Cognitive Science, Computational Cognitive Neuroscience, RUTGERS-NEWARK Message-ID: We are looking for a Data Scientist in the Psychology Department at Rutgers (NK campus). Assistant Professor (Tenure Track) starting 9/25. DEADLINE FOR APPLICATIONS Nov 15th. Please see attachment for more details. Specific questions or queries about the position can be sent to me jose at rubic.rutgers.edu (Search Commitee). -- Stephen Jos? Hanson Professor, Psychology Department Director, RUBIC (Rutgers University Brain Imaging Center) Member, Executive Committee, RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: RU-N Psychology data sci position.pdf Type: application/pdf Size: 49465 bytes Desc: RU-N Psychology data sci position.pdf URL: From terry at salk.edu Wed Sep 25 01:36:35 2024 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 24 Sep 2024 22:36:35 -0700 Subject: Connectionists: Computing with Waves In-Reply-To: Message-ID: A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski+, Max Welling https://arxiv.org/pdf/2409.13669 ----- Substack: Brains and AI https://terrysejnowski.substack.com/ ----- Terry ----- From rw at physics.wustl.edu Tue Sep 24 16:23:56 2024 From: rw at physics.wustl.edu (Ralf Wessel) Date: Tue, 24 Sep 2024 15:23:56 -0500 Subject: Connectionists: Faculty positions in Computational Neuroscience and NeuroAI at WashU Message-ID: <2cb8bd663315805cb59e3d2af8fff7d2@physics.wustl.edu> Washington University in St. Louis invites applications for tenure-track faculty positions at the rank of assistant or associate professor for a cluster hire in the area of theory, computation, and data science in the departments of Biology, Chemistry, and Physics. Cluster opportunities include Computational Neuroscience and NeuroAI. https://apply.interfolio.com/152466 -- **************************************************** Ralf Wessel, Professor of Physics Washington University in St. Louis https://physics.wustl.edu/people/ralf-wessel http://neuroscience.wustl.edu/ **************************************************** From efipatm at gmail.com Wed Sep 25 06:29:29 2024 From: efipatm at gmail.com (Efi) Date: Wed, 25 Sep 2024 13:29:29 +0300 Subject: Connectionists: AIDA Asynchronous "Computer Vision and Machine Learning - Web Lecture Series" by Prof. I. Pitas, Aristotle University of Thessaloniki Message-ID: Dear AI/CS/ECE student/scientist/engineer/enthusiast, the International AI Doctoral Academy (AIDA ) is excited to invite you to attend the Computer Vision and Machine Learning Web Lecture series consisting of one or more of the 24 CVML Web e-Course Modules on offer (Lecture Series having 297 lectures in total) offered by *Prof. Ioannis Pitas* at Aristotle University of Thessaloniki. Computer Vision and Machine Learning Web Lecture series contains 297 asynchronous Lectures organized in 24 Lecture modules covering diverse topics on: - *Deep Learning and Neural Networks* - *Deep Learning and Computer Vision Foundations and Tools* - *Computer Vision/Image Processing and 3D Imaging* - *Autonomous Systems* - *Human centered computing. Social Networks. Graph Theory* - *Digital Signal Processing and Applications* You can combine CVML Web e-Course Modules to create CVML Web e-Courses (typically consisting of 16 lectures) of your own choice that cater to your personal education needs. Each CVML Web e-Course you will create (16 lectures) provides you with material that can cover a semester course, but you can master it in approximately 1 month. Asynchronous tutor support will be provided in case of questions. CVML Web e-Course Module materials typically consist of: a) a lecture pdf/ppt, b) lecture self-assessment understanding questionnaire and lecture video, programming exercises, tutorial exercises (for several modules/lectures) and overall course module satisfaction questionnaire. Course materials have been very successfully used in many top conference keynote speeches/tutorials worldwide and in short courses, summer schools, semester courses delivered by AIIA Lab physically or on-line from 2018 onwards, attracting many hundreds of registrants. Course materials are at senior undergraduate/MSc level in a CS, CSE, EE or ECE or related Engineering or Science Department. Their structure, level and offer are completely different from what you can find in either Coursera or Udemy. Explore more: https://icarus.csd.auth.gr/cvml-web-lecture-series/ Please inform the Lecturer Prof. Ioannis Pitas on your choice by email to pitas at csd.auth.gr *REGISTRATION* a) register in the course by clicking here [*Please find the registration details*] AND b) For AIDA Students: (PhD students/candidates, Post-doc researchers belonging to any AIDA Member )on the top of the above registration, enroll on the course by clicking the ?ENROLL ON THIS COURSE? button on the AIDA course page , so that the course is included on your AIDA Certificate of Course Attendance upon successful completion of the course. Sincerely yours Prof. I. Pitas Chair of the International AI Doctoral Academy (AIDA ) Director of the Artificial Intelligence and Information analysis Lab ( AIIA Lab ) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From marinella.petrocchi at iit.cnr.it Wed Sep 25 06:11:17 2024 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Wed, 25 Sep 2024 12:11:17 +0200 Subject: Connectionists: [2nd CFP][ECIR 2025][Doctoral Consortium] Message-ID: <6e3a1d45181c9290b60b32554a14376a@iit.cnr.it> [2nd CFP][Apologies for multiple postings][ECIR 2025][Doctoral Consortium] ******************************************************************************************************************************************* Doctoral Consortium @ECIR 2025: The 47th European Conference on Information Retrieval Lucca, Italy, April 6, 2025 Doctoral Consortium website: https://ecir2025.eu/call-for-doctoral-consortium-papers/ Submission link: https://easychair.org/conferences/?conf=ecir2025 ******************************************************************************************************************************************* GENERAL DESCRIPTION The Doctoral Consortium (DC) at ECIR 2025 will provide a forum for PhD students in the field of Information Retrieval to present their research and thesis proposal to world-class senior researchers from academia and industry. Students will receive feedback on their work and have the opportunity to engage in detailed discussions with advisors through individual sessions. The DC also gives students an opportunity to meet and share their experiences of PhD research with other students at a similar stage of their studies. We welcome submissions on any topic relevant to the general field of information retrieval, including those mentioned in the Call for Full papers for ECIR 2025 (https://ecir2025.eu/call-for-full-papers/). Example topics of interest include ? but are not limited to ? theory, experimentation, practice, applications and societal impacts of retrieval, recommendation, representation, management, and usage of textual, visual, audio, and multi-modal information. ******************************************************************************************************************************************* CONTRIBUTIONS and SUBMISSION INSTRUCTIONS Please see the Doctoral Consortium website. Students accepted to the Consortium will have the option of publishing a 4-page extended abstract summarizing their research in the full ECIR conference proceedings. ******************************************************************************************************************************************* ECIR 2025 Doctoral Consortium IMPORTANT DATES * Doctoral consortium abstract submission: November 3, 2024, 11:59pm (AoE) * Doctoral consortium paper submission: November 10, 2024, 11:59pm (AoE) * Doctoral consortium paper notification: December 16, 2024 * Doctoral consortium day: April 06, 2025 ******************************************************************************************************************************************* ECIR 25 Doctoral Consortium CHAIRS * Marinella Petrocchi (IIT-CNR, Pisa, Italy) * Gabriele Tolomei (Sapienza University of Rome, Italy) * Contact: ecir2025-dc at easychair.org From robert.legenstein at igi.tugraz.at Wed Sep 25 08:37:27 2024 From: robert.legenstein at igi.tugraz.at (Robert Legenstein) Date: Wed, 25 Sep 2024 14:37:27 +0200 Subject: Connectionists: 50+ positions in Machine Learning and AI Message-ID: <8c92f542-9337-4164-8498-3a1abf75bc37@igi.tugraz.at> Call for Applications For the recently established Cluster of Excellence CoE Bilateral Artificial Intelligence (BILAI), funded by the Austrian Science Fund (FWF), we are looking for more than 50 PhD students and 10 Post-Doc researchers (m/f/d) to join our team at one of the six leading research institutions across Austria (see below). In BILAI, major Austrian players in Artificial Intelligence (AI) are teaming up to work towards Broad AI. As opposed to Narrow AI, which is characterized by task-specific skills, Broad AI seeks to address a wide array of problems, rather than being limited to a single task or domain. To develop its foundations, BILAI employs a Bilateral AI approach, effectively combining sub-symbolic AI (neural networks and machine learning) with symbolic AI (logic, knowledge representation, and reasoning) in various ways. Harnessing the full potential of both symbolic and sub-symbolic approaches can open new avenues for AI, enhancing its ability to solve novel problems, adapt to diverse environments, improve reasoning skills, and increase efficiency in computation and data use. These key features enable a broad range of applications for Broad AI, from drug development and medicine to planning and scheduling, autonomous traffic management, and recommendation systems. Prioritizing fairness, transparency, and explainability, the development of Broad AI is crucial for addressing ethical concerns and ensuring a positive impact on society. The research team is committed to cross-disciplinary work in order to provide theory and models for future AI and deployment to applications. CoE Research Institutions: ??? Johannes Kepler Universit?t Linz (JKU Linz) ??? Technische Universit?t Wien (TU Wien) ??? Alpen-Adria-Universit?t Klagenfurt (AAU) ??? Institute of Science and Technology Austria (ISTA) ??? Technische Universit?t Graz (TU Graz) ??? Wirtschaftsuniversit?t Wien (WU Wien) The call for applications is available at https://www.bilateral-ai.net/jobs/ -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. WebEx meeting room: https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ---------------------------------- From i.lin at ucl.ac.uk Thu Sep 26 05:52:09 2024 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Thu, 26 Sep 2024 09:52:09 +0000 Subject: Connectionists: GCNU-SWC Joint PhD Programme 2025: Applications now open Message-ID: *** Gatsby Unit and Sainsbury Wellcome Centre Joint PhD Programme *** Deadline: 11 November 2024 The Gatsby Computational Neuroscience Unit (GCNU) and Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) are launching a 4-year joint PhD programme that aims to bridge the gap between theory and experiments. The two centres provide a unique opportunity for a critical mass of theoreticians and experimentalists to interact closely with one another and with researchers at the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments/domains such as UCL Neuroscience Domain; Artificial Intelligence; the ELLIS Unit at UCL; Computer Science; Statistical Science; and the nearby Francis Crick and Alan Turing Institutes. The joint programme will provide a rigorous preparation for an interdisciplinary research career. The programme blends aspects of the two existing PhD programmes and is designed to immerse students in both experimental and theoretical thinking. Courses in the first year provide a comprehensive introduction to systems neuroscience, theoretical/computational neuroscience, and machine learning. Students will be part of the broader trainee cohort across both centres, interacting and engaging in scientific discussion with both SWC and GCNU researchers with equal emphasis. Applicants should have a strong analytical and mathematical background, a keen interest in neuroscience, and a relevant first degree (e.g., in Computer Science, Cognitive Psychology, Engineering, Mathematics, Neuroscience, Physics, Statistics). Full funding is available regardless of nationality. We also welcome applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details (including the key differences between the Gatsby Unit PhD programme, the SWC PhD programme, and the joint programme) and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/gcnu-swc-joint-phd-programme. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL From H.Brouwer at tilburguniversity.edu Fri Sep 27 02:39:51 2024 From: H.Brouwer at tilburguniversity.edu (Harm Brouwer) Date: Fri, 27 Sep 2024 06:39:51 +0000 Subject: Connectionists: PhD-Researcher and Lecturer, Neurocomputation of Language, Tilburg University (1.0 fte, six years) In-Reply-To: <9957bebc-0be7-4bec-b15b-d1c7a783bd34@tilburguniversity.edu> References: <9957bebc-0be7-4bec-b15b-d1c7a783bd34@tilburguniversity.edu> Message-ID: PhD-Researcher and Lecturer, Neurocomputation of Language, Department of Cognitive Science and Artificial Intelligence (1.0 fte, six years) The Neurocomputation of Language (NCL) lab from the Department of Cognitive Science & Artificial Intelligence (CSAI) at Tilburg University invites applications for a 6-year position. The successful applicant for this position would spend 60% of their time as a PhD student and 40% as a lecturer. The PhD project would be determined by the successful applicant and the lab director but should employ advanced statistical modeling and/or neurocomputational modeling to address one or more of the core themes of the lab: the nature and time course of language comprehension, the neural representation and computation of meaning, and the cortical organization of the language network. The educational tasks of the candidate could include leading practical sessions, grading assignments and exams, and (eventually) supervising thesis students. Requirements * Master?s degree in (computational) cognitive (neuro)science, neurobiology of language, or a related field. If you expect to obtain your degree before August 2024, you are also eligible. * Good knowledge of statistics and machine learning (practical experience with large language models is a plus). * Excellent knowledge of English and good academic writing skills. What we offer * A full-time position. * The selected candidate will receive a contract for six years. * You will receive a temporary employment contract for the duration of 12 months. A 5-year extension is offered upon a positive assessment. After one year your UFO profile will change to PhD Candidate / Lecturer. In the second year your initial education assignment is 40% and your research assignment is 60%. * A minimum gross salary of ?3226- per month up to a maximum of ? 4036- in the 6th year. For the duration of 12 months, you are entitled to a allowance. The amount is the difference in salary of scale 10 level 0 and scale PR level 0. * A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually). * Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (the 30% tax regulation). The University will apply for such an allowance on their behalf. Note that the 30% rule will be scaled back from 1 January 2024. For new applications, during a five-year term, the scheme will gradually decrease to a 10% rule. More specifically, this means that during the first 20 months of the term, 30% of the salary will be reimbursed untaxed. In the next 20 months, this percentage drops to 20% and during the last 20 months, the untaxed reimbursement is 10% of the salary. * Assistance in finding accommodation (for foreign employees). * Benefits such as an options model for terms and conditions of employment and reimbursement of moving expenses, also including excellent technical infrastructure, savings schemes and excellent sports facilities. The collective labor agreement of the Dutch Universities applies. Information and application More detailed project information can be provided on request: please contact dr. Harm Brouwer (h.brouwer at tilburguniversity.edu), PI of the Neurocomputation of Language lab. To apply, please submit: * a motivation letter in which you describe why you want to be considered for this position, and why you are the right person to do it; * a full curriculum vitae, demonstrating academic excellence, including publications (if applicable); academic transcripts of your Bachelor and Master?s degrees; * a sample of writing, such as your Master?s thesis or a relevant paper; * contact details of two academic referees. The only way to apply is online. The position is open until filled. The start date is as soon as possible, but in agreement with the candidate. Neurocomputation of Language lab The Neurocomputational of Language (NCL) lab combines neurocomputational modeling with empirical experimentation to investigate the neural basis of language. Grounded in principles of neural information processing, and informed by empirical insights on the nature and time course of comprehension, our models aim to offer mechanistic explanations of how an interpretation is constructed in real time as spoken or written linguistic signal unfolds on a, more or less, word-by-word basis. See the lab website for more information: https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/neurocomputation-language The department of Cognitive Science & Artificial Intelligence (CSAI) The Cognitive Science and Artificial Intelligence department (https://csai.nl/) at Tilburg University is part of the Tilburg School of Humanities and Digital Sciences. The department emphasizes innovative research spanning a wide array of fields including computational linguistics and language technology, data-science, human-robot interaction, virtual reality and serious games. CSAI is a member of the Benelux Association for Artificial Intelligence, participates in the Special Interest Group for AI (SIG AI), and also participates in the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Tilburg University and the CSAI department offer a vibrant international environment, with current CSAI staff originating from more than 10 countries. Tilburg School of Humanities and Digital Sciences Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees. Tilburg School of Humanities and Digital Sciences Recruitment code Tilburg University applies the recruitmentcode of the Dutch Association for Personnel Management & Organization Development (NVP). Disclaimer The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -- Dr. Harm Brouwer | Associate Professor Cognitive Science and Artificial Intelligence | Tilburg University Research Unit Leader | Computational Models of Brain and Behavior Principal Investigator | Neurocomputation of Language lab http://www.hbrouwer.eu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ray.subhasis at gmail.com Fri Sep 27 02:53:46 2024 From: ray.subhasis at gmail.com (Subhasis Ray) Date: Fri, 27 Sep 2024 12:23:46 +0530 Subject: Connectionists: Fully funded trainee positions at CHINTA, TCG CREST, Kolkata Message-ID: Dear Colleagues, We are looking for self motivated and talented individuals for trainee positions (Research Assistant, PhD student, and Postdoc) at CHINTA, TCG CREST (https://www.tcgcrest.org/institutes/chinta/), in Kolkata, India in the following groups: Dr Agnik Dasgupta: Seeing is Believing: How does the brain develop in a living animal? We utilize optics and genetics to address this question using zebrafish! https://x.com/Agnik85 Dr Anant Jain: Understanding the mechanisms underlying behaviorally relevant synaptic plasticity using electrophysiology, two-photon imaging and behavior: https://www.tcgcrest.org/people/anant-jain/ Dr Subhasis Ray: Understanding neural circuits through experiments and simulations, developing neuro-simulator and scientific software: https://rayslab.github.io/ We have a rolling intake and the trainees will be fully funded by TCG CREST, with suitable adjustments for international candidates. We offer a highly interdisciplinary environment, with several other institutes under TCG CREST (https://www.tcgcrest.org/) conducting research in a wide range of areas such as AI, applied mathematics, and quantum computing. So in addition to biological sciences, students from diverse backgrounds like engineering, physics, chemistry, mathematics, and computer science, are welcome. Please spread the word to anybody who might be interested. Best, Agnik, Anant, and Subhasis ... PS : "Chinta" means "thought" in Sanskrit and related languages. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sara.magliacane at gmail.com Fri Sep 27 08:19:14 2024 From: sara.magliacane at gmail.com (Sara Magliacane) Date: Fri, 27 Sep 2024 14:19:14 +0200 Subject: Connectionists: [Reminder][CFP] 4th Conference on Causal Learning and Reasoning (CLeaR 2025) - deadline Nov 2 In-Reply-To: References: Message-ID: We invite submissions to the 4th Conference on Causal Learning and Reasoning (CLeaR), and welcome paper submissions that describe new theory, methodology, and/or applications relevant to any aspect of causal learning and reasoning in the fields of artificial intelligence and statistics. Accepted papers will be published in the Proceedings of Machine Learning Research (PMLR). CLeaR 2025 (https://www.cclear.cc/2025) will be held in* Lausanne, Switzerland*, *May 7 to May 9, 2025*. Key information - *Paper submission deadline: Nov 2, 2024 11:59pm (Anywhere on Earth, AoE)* - Reviews released: Dec 13, 2024 - Author rebuttals due: Dec 20, 2024 11:59pm (AoE) - Final decisions: Jan 27, 2025 - Camera-ready deadline: Mar 9, 2025 11:59pm (AoE) - Conference dates and location: May 7 (Wed) - 9 (Fri), 2025 in Lausanne, Switzerland Submit at https://openreview.net/group?id=cclear.cc/CLeaR/2025/Conference The complete Call For Papers can be found at this link: https://www.cclear.cc/2025/CallforPapers For more information, check also the CLeaR website ( https://www.cclear.cc/2025) or follow our Twitter/X account ( https://x.com/Conf_CLeaR) Summary Causality is a fundamental notion in science and engineering. In the past few decades, some of the most influential developments in the study of causal discovery, causal inference, and the causal treatment of machine learning have resulted from cross-disciplinary efforts. In particular, a number of machine learning and statistical analysis techniques have been developed to tackle classical causal discovery and inference problems. On the other hand, the causal view has been shown to facilitate formulating, understanding, and tackling a broad range of problems, including domain generalization, robustness, trustworthiness, and fairness across machine learning, reinforcement learning, and statistics. We invite papers that describe new theory, methodology and/or applications relevant to any aspect of causal learning and reasoning in the fields of artificial intelligence and statistics. Submitted papers will be evaluated based on their novelty, technical quality, and potential impact. Experimental methods and results are expected to be reproducible, and authors are strongly encouraged to make code and data available. We also encourage submissions of proof-of-concept research that puts forward novel ideas and demonstrates potential for addressing problems at the intersection of causality and machine learning. Paper Submission The proceedings track is the standard CLeaR paper submission track. Papers will be selected via a rigorous double-blind peer-review process. All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the Proceedings. Topics of submission may include, but are not limited to: - Foundational theories of causation - Causal effect identification and estimation - Causal discovery in complex environments - Efficient causal discovery in large-scale datasets - Causal representation learning - Machine learning (including reinforcement learning) building on causal principles - Unsupervised and semi-supervised deep learning connected to causality - Causal generative models for machine learning - Machine learning and statistical methods for heterogeneous data sources - Causality-empowered foundation models - Causally rooted methods for fairness, accountability, transparency, explainability, trustworthiness, and recourse - Benchmark for causal discovery and causal reasoning - Applications of any of the above to real-world problems Physical Attendance CLeaR 2025 is being planned as an in-person conference with hybrid elements accommodating online presentations when physical attendance is not possible. Formatting and Supplementary Material Submissions are limited to 12 single-column PMLR-formatted pages, plus unlimited additional pages for references and appendices. Authors of accepted papers will have the option of opting out of the proceedings in favor of a 1-page extended abstract, which will point to an open access archival version of the full paper reviewed for CLeaR. You can also submit a single file of additional supplementary material separately, which may be either a pdf file (containing proof details, for instance) or a zip file that can include multiple files of all formats (such as code or videos). Note that reviewers are under no obligation to examine the supplementary material. Please format the paper using the official LaTeX style files . We do not support submission in formats other than LaTeX. Please do not modify the layout given by the style file. Mathias Drton & Biwei Huang CLeaR 2025 Program Chairs Negar Kiyavash & Jin Tian CLeaR 2025 General Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Fri Sep 27 10:58:23 2024 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Fri, 27 Sep 2024 14:58:23 +0000 Subject: Connectionists: 4-year Postdoc in Cognitive Robotics and AI, University of Manchester UK Message-ID: <3E7C39A3-E462-4FBD-A155-FAC70A18CEFE@manchester.ac.uk> 4-year Postdoc in Cognitive Robotics and AI Manchester Centre for Robotics and AI Cangelosi Cognitive Robotics Lab One 4-year postdoc research associate position is available as part of the USAF Project ?CASPER++ Cognitive Architecture for Social Perception and Engagement in Robots for ethical and transparent collaboration?. The aim of this project is to design and develop a computational cognitive architecture for transparent share goal and intention reading in heterogenous multi-agent teams; and to validate the architecture for trust and task arbitration mechanism in shared human-robot interaction and trust tasks. The candidate will carry out research on the design of robot cognitive architectures for trust, as per CASPER++ project plan. A PhD (or equivalent) in Computer Science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential, as well as robotics and/or machine learning skills. Previous experience and publication track record in robot cognitive modelling or AI is an essential requirement. The research associate will be working collaboratively as part of the Cognitive Robotics Lab at the Department of Computer Science at the University of Manchester under the supervision of Professor Angelo Cangelosi. Close collaboration with the other project partners will also be required. Expected start date of the post is 1 January 2025. Informal enquiries regarding the post, the project or the research details can be made to Prof Angelo Cangelosi (angelo.cangelosi at manchester.ac.uk). Closing date: 18 October 2024. [metaimage.jpg] Research Associate in Cognitive Robotics and Artificial Intelligence :Oxford Road jobs.manchester.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: metaimage.jpg Type: image/jpeg Size: 51603 bytes Desc: metaimage.jpg URL: From evan.schaffer at mssm.edu Fri Sep 27 12:11:11 2024 From: evan.schaffer at mssm.edu (Schaffer, Evan) Date: Fri, 27 Sep 2024 16:11:11 +0000 Subject: Connectionists: Faculty Position in Computational Neuroscience - Center for Advanced Circuit Therapeutics at Mount Sinai Message-ID: Dear Colleagues, The Center for Advanced Circuit Therapeutics (c-Act) at Mount Sinai is recruiting a tenure-track or tenured faculty position in neuroengineering or computational neuroscience: https://careers.mountsinai.org/jobs/3018741?lang=en-us The application deadline is November 5, 2024. Please forward to anyone who might be interested. -------------- next part -------------- An HTML attachment was scrubbed... URL: From battleday at thinkingaboutthinking.org Sat Sep 28 15:43:06 2024 From: battleday at thinkingaboutthinking.org (Ruairidh Battleday) Date: Sat, 28 Sep 2024 15:43:06 -0400 Subject: Connectionists: Call for student volunteers based in London for AI & Entrepreneurship Summit (Oct 23-24th) Message-ID: Dear Greater London AI and Entrepreneurship Student Groups, We very much hope this email finds you well! We have nearly finished announcing our speakers for the Autumn Summit in London: www.algopreneurship.org We are now looking for *student volunteers based in London*, to help with registration, and managing the flow of people during the event. Along with *free tickets* to the event, volunteering will be an excellent way to *meet and interact with speakers* and guests, and volunteers will be invited to the *wrap-up-party*. It's also a good way to begin working with Thinking About Thinking, and take on more involved roles at future events. If you are interested in volunteering, *please email* volunteers at thinkingaboutthinking.org, giving your *name*, current *student status*, normal living *location*, and *motivation* for volunteering. We'd also be extremely grateful if you could forward this call for volunteers on to friends / relevant student groups and mailing lists :) All the best, Ruairidh and the team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT -------------- next part -------------- An HTML attachment was scrubbed... URL: From M.Khosla at tudelft.nl Sun Sep 29 07:11:31 2024 From: M.Khosla at tudelft.nl (Megha Khosla) Date: Sun, 29 Sep 2024 11:11:31 +0000 Subject: Connectionists: [Announcement] [Call for contributions : WSDM 2025 Events] The 18th ACM International Conference on Web Search and Data Mining Message-ID: <2C130BB3-7180-40F0-81B7-4A979699A8F5@tudelft.nl> The 18th ACM International Conference on Web Search and Data Mining (WSDM 2025) invites submissions for Demonstration Papers, Workshop proposals, WSDM Doctoral Consortium, WSDM Day Presentations and Industry Day Talks! This is a fantastic opportunity to showcase your cutting-edge research, innovative systems, and influential ideas to the WSDM community. Important Dates: Demonstration Paper Submission Deadline: October 4, 2024 Workshop Proposal Deadline: October 7, 2024 WSDM Doctoral Consortium: November 6, 2024 WSDM Day Presentations : November 1, 2024 Industry Day Talks: November 10, 2024 Don?t miss this chance to be a part of WSDM 2025 and contribute to the vibrant world of web search and data mining! For more details on submission guidelines, visit: https://www.wsdm-conference.org/2025/ We look forward to your contributions! -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1566 bytes Desc: not available URL: From dwang at cse.ohio-state.edu Sun Sep 29 14:01:29 2024 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Sun, 29 Sep 2024 18:01:29 +0000 Subject: Connectionists: NEURAL NETWORKS, Oct. 2024 Message-ID: Neural Networks - Volume 178, Oct. 2024 https://www.journals.elsevier.com/neural-networks Inductive reasoning with type-constrained encoding for emerging entities Chong Mu, Lizong Zhang, Zhiguo Wang, Qianghua Yuan, Chengzong Peng STaRNet: A spatio-temporal and Riemannian network for high-performance motor imagery decoding Xingfu Wang, Wenjie Yang, Wenxia Qi, Yu Wang, ... Wei Wang A robust event-driven approach to always-on object recognition Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Ryad Benosman, Laurent U. Perrinet A spinal circuit model with asymmetric cervical-lumbar layout controls backward locomotion and scratching in quadrupeds Qinghua Zhu, Fang Han, Ying Yu, Fengjie Wang, ... Awais Shakeel FDAA: A feature distribution-aware transferable adversarial attack method Jiachun Li, Yuchao Hu, Cheng Yan A biologically inspired computational model of human ventral temporal cortex Yiyuan Zhang, Ke Zhou, Pinglei Bao, Jia Liu Bio-inspired computational memory model of the Hippocampus: An approach to a neuromorphic spike-based Content-Addressable Memory Daniel Casanueva-Morato, Alvaro Ayuso-Martinez, Juan P. Dominguez-Morales, Angel Jimenez-Fernandez, Gabriel Jimenez-Moreno Multi-grained visual pivot-guided multi-modal neural machine translation with text-aware cross-modal contrastive disentangling Junjun Guo, Rui Su, Junjie Ye Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment Manman Fei, Zhenrong Shen, Zhiyun Song, Xin Wang, ... Lichi Zhang Sequential safe static and dynamic screening rule for accelerating support tensor machine Hongmei Wang, Kun Jiang, Xiao Li, Yitian Xu Federated learning using model projection for multi-center disease diagnosis with non-IID data Jie Du, Wei Li, Peng Liu, Chi-Man Vong, ... Tianfu Wang Salient object detection in low-light RGB-T scene via spatial-frequency cues mining Huihui Yue, Jichang Guo, Xiangjun Yin, Yi Zhang, Sida Zheng InA: Inhibition Adaption on pre-trained language models Cheng Kang, Jindrich Prokop, Lei Tong, Huiyu Zhou, ... Daniel Novak Adaptive sampling artificial-actual control for non-zero-sum games of constrained systems Lu Liu, Ruizhuo Song Unsupervised domain adaptation with weak source domain labels via bidirectional subdomain alignment Heng Zhou, Ping Zhong, Daoliang Li, Zhencai Shen KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings Peng Qi, Yan Sun, Muyan Yao, Dan Tao Heterogeneous graph convolutional network for multi-view semi-supervised classification Shiping Wang, Sujia Huang, Zhihao Wu, Rui Liu, ... Dell Zhang Cycle contrastive adversarial learning with structural consistency for unsupervised high-quality image deraining transformer Chen Zhao, Weiling Cai, Chengwei Hu, Zheng Yuan Spiking generative adversarial network with attention scoring decoding Linghao Feng, Dongcheng Zhao, Yi Zeng KLSANet: Key local semantic alignment Network for few-shot image classification Zhe Sun, Wang Zheng, Pengfei Guo HyperComm: Hypergraph-based communication in multi-agent reinforcement learning Tianyu Zhu, Xinli Shi, Xiangping Xu, Jie Gui, Jinde Cao Sequence homology score-based deep fuzzy network for identifying therapeutic peptides Xiaoyi Guo, Ziyu Zheng, Kang Hao Cheong, Quan Zou, ... Yijie Ding HyGloadAttack: Hard-label black-box textual adversarial attacks via hybrid optimization Zhaorong Liu, Xi Xiong, Yuanyuan Li, Yan Yu, ... Fei Xiong Analysis of medical images super-resolution via a wavelet pyramid recursive neural network constrained by wavelet energy entropy Yue Yu, Kun She, Kaibo Shi, Xiao Cai, ... YengChai Soh Compressing neural networks via formal methods Dalila Ressi, Riccardo Romanello, Sabina Rossi, Carla Piazza Self-balancing Incremental Broad Learning System with privacy protection Weiwen Zhang, Ziyu Liu, Yifeng Jiang, Wuxing Chen, ... Kaixiang Yang GRAM: An interpretable approach for graph anomaly detection using gradient attention maps Yifei Yang, Peng Wang, Xiaofan He, Dongmian Zou Hydra: Multi-head low-rank adaptation for parameter efficient fine-tuning Sanghyeon Kim, Hyunmo Yang, Yunghyun Kim, Youngjoon Hong, Eunbyung Park GeneWorker: An end-to-end robotic reinforcement learning approach with collaborative generator and worker networks Hao Wang, Hengyu Man, Wenxue Cui, Riyu Lu, ... Xiaopeng Fan An adaptive kernel dictionary-based low-rank representation method for subspace clustering Yaozu Kan, Gui-Fu Lu, Yangfan Du Leveraging temporal dependency for cross-subject-MI BCIs by contrastive learning and self-attention Hao Sun, Yi Ding, Jianzhu Bao, Ke Qin, ... Cuntai Guan Clothing-invariant contrastive learning for unsupervised person re-identification Zhiqi Pang, Lingling Zhao, Chunyu Wang Motion-Aware Video Frame Interpolation Pengfei Han, Fuhua Zhang, Bin Zhao, Xuelong Li Graph Aggregating-Repelling Network: Do Not Trust All Neighbors in Heterophilic Graphs Yuhu Wang, Jinyong Wen, Chunxia Zhang, Shiming Xiang When an extra rejection class meets out-of-distribution detection in long-tailed image classification Shuai Feng, Chongjun Wang A novel bounded loss framework for support vector machines Feihong Li, Hu Yang A unified framework to control estimation error in reinforcement learning Yujia Zhang, Lin Li, Wei Wei, Yunpeng Lv, Jiye Liang Omnidirectional image super-resolution via position attention network Xin Wang, Shiqi Wang, Jinxing Li, Mu Li, ... Yong Xu Aligning the domains in cross domain model inversion attack Zeping Zhang, Jie Huang Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning Shaokang Dong, Chao Li, Shangdong Yang, Bo An, ... Yang Gao Dynamics of heterogeneous Hopfield neural network with adaptive activation function based on memristor Chunhua Wang, Junhui Liang, Quanli Deng Sliding mode control for uncertain fractional-order reaction?diffusion memristor neural networks with time delays Yue Cao, Yonggui Kao, Zhen Wang, Xinsong Yang, ... Wei Xie Heterogeneous coexisting attractors, large-scale amplitude control and finite-time synchronization of central cyclic memristive neural networks On energy complexity of fully-connected layers Ji?? ??ma, J?r?mie Cabessa, Petra Vidnerov? Containment control for fractional-order networked system with intermittent sampled position communication Yanyan Ye, Hongzhe Chen, Jie Tao, Qianqian Cai, Peng Shi Detail-preserving image warping by enforcing smooth image sampling Qingrui Sha, Kaicong Sun, Caiwen Jiang, Mingze Xu, ... Dinggang Shen Advancing neural network calibration: The role of gradient decay in large-margin Softmax optimization Siyuan Zhang, Linbo Xie Inverse-free zeroing neural network for time-variant nonlinear optimization with manipulator applications Jielong Chen, Yan Pan, Yunong Zhang, Shuai Li, Ning Tan Capacity bounds for hyperbolic neural network representations of latent tree structures Anastasis Kratsios, Ruiyang Hong, Haitz S?ez de Oc?riz Borde A topological description of loss surfaces based on Betti Numbers Maria Sofia Bucarelli, Giuseppe Alessio D?Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri Learning sequence attractors in recurrent networks with hidden neurons Yao Lu, Si Wu Magnitude and angle dynamics in training single ReLU neurons Sangmin Lee, Byeongsu Sim, Jong Chul Ye Input-to-state stability of delayed memristor-based inertial neural networks via non-reduced order method Yuxin Jiang, Song Zhu, Xiaoyang Liu, Shiping Wen, Chaoxu Mu Adaptively identify and refine ill-posed regions for accurate stereo matching Changlin Liu, Linjun Sun, Xin Ning, Jian Xu, ... Weijun Li Efficient tensor decomposition-based filter pruning Van Tien Pham, Yassine Zniyed, Thanh Phuong Nguyen A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion Jiangxun Liu, Zhu Duan, Hui Liu Attention-based Sparse and Collaborative Spectral Abundance Learning for Hyperspectral Subpixel Target Detection Dehui Zhu, Ping Zhong, Bo Du, Liangpei Zhang Facial micro-expression recognition using stochastic graph convolutional network and dual transferred learning Hui Tang, Li Chai Unifying emotion-oriented and cause-oriented predictions for emotion-cause pair extraction Guimin Hu, Yi Zhao, Guangming Lu UGEE-Net: Uncertainty-guided and edge-enhanced network for image splicing localization Qixian Hao, Ruyong Ren, Shaozhang Niu, Kai Wang, ... Jiwei Zhang A syntactic evidence network model for fact verification Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, ... Heyan Huang Meta-learning based blind image super-resolution approach to different degradations Zhixiong Yang, Jingyuan Xia, Shengxi Li, Wende Liu, ... Deniz G?nd?z Adversarial Infrared Curves: An attack on infrared pedestrian detectors in the physical world Chengyin Hu, Weiwen Shi, Wen Yao, Tingsong Jiang, ... Wen Li Towards safer robot-assisted surgery: A markerless augmented reality framework Ziyang Chen, Laura Cruciani, Ke Fan, Matteo Fontana, ... Elena De Momi Cluster-CAM: Cluster-weighted visual interpretation of CNNs? decision in image classification Zhenpeng Feng, Hongbing Ji, Milo? Dakovi?, Xiyang Cui, ... Ljubi?a Stankovi? Self-architectural knowledge distillation for spiking neural networks Haonan Qiu, Munan Ning, Zeyin Song, Wei Fang, ... Yonghong Tian A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis Zhiqian Zhao, Yeyin Xu, Jiabin Zhang, Runchao Zhao, ... Yinghou Jiao Intellectual assessment of amyotrophic lateral sclerosis using deep resemble forward neural network Abdullah Alqahtani, Shtwai Alsubai, Mohemmed Sha, Ashit Kumar Dutta, Yu-Dong Zhang NFMPAtt-Unet: Neighborhood Fuzzy C-means Multi-scale Pyramid Hybrid Attention Unet for medical image segmentation Xinpeng Zhao, Weihua Xu Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion Hongze Sun, Rui Liu, Wuque Cai, Jun Wang, ... Daqing Guo Model-agnostic counterfactual reasoning for identifying and mitigating answer bias in knowledge tracing Chaoran Cui, Hebo Ma, Xiaolin Dong, Chen Zhang, ... Yuling Ma A novel two-layer fuzzy neural network for solving inequality-constrained ?_{1}-minimization problem with applications Qing Hu, Bing Zheng Leveraging spiking neural networks for topic modeling Marcin Bia?as, Marcin Micha? Miro?czuk, Jacek Ma?dziuk Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation Haonan Wang, Peng Cao, Jinzhu Yang, Osmar Zaiane On convergence properties of the brain-state-in-a-convex-domain Mauro Di Marco, Mauro Forti, Luca Pancioni, Alberto Tesi -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Sun Sep 29 19:19:13 2024 From: cgf at isep.ipp.pt (Carlos) Date: Mon, 30 Sep 2024 00:19:13 +0100 Subject: Connectionists: CFP [Submission Deadline is October 4]: DATA STREAMS TRACK - ACM SAC 2025 Message-ID: =========================== ACM SAC 2025 Data Streams track Due to several requests, the deadline has been extended by 2 weeks: https://abifet.github.io/SAC2025/ Paper Submission: October 4, 2024 Please submit your contribution via SAC 2025 Webpage: https://easychair.org/conferences/?conf=sac-2025 =========================== Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From daniel.braun at uni-ulm.de Mon Sep 30 08:19:04 2024 From: daniel.braun at uni-ulm.de (Daniel Braun) Date: Mon, 30 Sep 2024 14:19:04 +0200 Subject: Connectionists: PhD Position in Neuro-Symbolic AI at Ulm University Message-ID: <234368-66fa9700-15-54243c00@7871698> 1x PhD Position (TV?D E13)? in Neuro-Symbolic AI University of Ulm Institute of Neural Information Processing Faculty of Engineering, Computer Science and Psychology? There is a fully funded PhD position available at the Institute of Neural Information Processing, Ulm University, Germany. At the institute we are interested in the mathematical foundations of intelligent behaviour in biological and artificial systems. The PhD topic will revolve around the fundamental question of how the abstraction capabilities of classic symbolic knowledge systems can be combined with the sub-symbolic pattern recognition capabilities of neural networks in order to allow neural networks to take existing knowledge into account when making predictions. The PhD position will be part of the newly established DFG graduate school KEMAI (Knowledge Infusion and Extraction for Explainable Medical AI). The structured PhD programme has a duration of 3 years with the possibility of extending for one more year. The candidate will have the opportunity both to make contributions to fundamental questions in AI and cognitive science and to apply their work directly in the context of medical imaging through collaboration with Ulm University Clinic. Within the same broad topic area there is a second PhD position available at the Institute of Medical Systems Biology that includes investigation of genetic markers. ? ? The applicants should have a strong mathematical background, hold a degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in neuroscience and artificial intelligence. The University of Ulm is an equal opportunity employer. Candidates should send a CV and a brief statement of interest to Prof. Dr. Dr. Daniel Alexander Braun?daniel.braun at uni-ulm.de ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From ralph.etiennecummings at gmail.com Mon Sep 30 08:38:32 2024 From: ralph.etiennecummings at gmail.com (Ralph Etienne-Cummings) Date: Mon, 30 Sep 2024 08:38:32 -0400 Subject: Connectionists: Three Weeks To Go: NSF/NIH Neuromorphic Principles in Biomedicine and Healthcare (NPBH) Workshop In-Reply-To: References: Message-ID: > > Dear NPBH Invitees: > > Thank you for planning to, or considering to, attend the Neuromorphic > Principles in Biomedicine and Healthcare (NPBH) Workshop (in-person or > virtually). The Workshop will occur just before Biomedical Engineering > Society Annual Meeting, BMES 2024, in Baltimore, MD, on October 21 - 22, > 2024. > > Please take a look at the developing Agenda for the two days at: > https://2024.neuro-med.org/workshop-agenda. After the short > presentations in the four sessions, panels will grapple with five questions > for the field: What are the "Needs, Challenges, Contributions, Impact > and Investment" opportunities for the field? We are hoping that you will > robustly engage with the panels, and participate in the authoring of the > Roadmap document for the field. > > The next step is for you to register at > https://2024.neuro-med.org/registration-0. > > We will provide a $500 grant for Graduate Students to attend the > workshop, specifically for those who have to travel to the Workshop. > Please have your trainees register and plan to present a poster. We have > budgeted for 10 such grants, but should we have more needs, we will work to > cover them where possible. You may also present a poster of your work. > > We are very much looking forward to seeing you at the Workshop and working > with you on the NPBH Roadmap. > > Sincerely, > Ralph, Duygu, Grace, Francisco, Jennifer, Jessica, and Luke > -- > Ralph Etienne-Cummings, PhD, FIEEE, FAIMBE, FASI > Vice Provost for Faculty Affairs > Julian S. Smith Professor of Electrical and Computer Engineering > Director of Computational Sensor Motor Systems Lab > Member of the Laboratory for Computational Sensing and Robotics > Johns Hopkins University > Baltimore, MD 21218 > Websites: provost.jhu.edu/; engineering.jhu.edu/ece/; > engineering.jhu.edu/csms/; lcsr.jhu.edu/ > Mobile: +1 202 329 1312 > [image: cid:image001.png at 01CFC064.B58B46A0] > -------------- next part -------------- An HTML attachment was scrubbed... URL: From cri at rochester.edu Mon Sep 30 23:58:00 2024 From: cri at rochester.edu (Iordan, Coraline Rinn) Date: Tue, 1 Oct 2024 03:58:00 +0000 Subject: Connectionists: Tenure-track Assistant Professor in Human Cognition Message-ID: The University of Rochester?s Department of Brain and Cognitive Sciences seeks to hire an outstanding early-career candidate in the area of Human Cognition. Areas of study may center on any aspect of higher- level cognitive processes such as decision-making, learning and memory, concepts, language and communication, development, reasoning, metacognition, and collective cognition. We particularly welcome applications from candidates researching cognition in human subjects through behavioral, computational or neuroimaging methods. Successful candidates will develop a research program that establishes new collaborations within the department and across the university, and will also be part of a university-wide community engaged in graduate and undergraduate education. The University of Rochester is a distinguished research university, and the Department of Brain and Cognitive Sciences is a dynamic department with interests in the study of perception, motor control, learning, cognition, language, and development through combined neurobiological, computational, and behavioral research (http://www.bcs.rochester.edu/). It offers outstanding opportunities for developing a research program, highly ranked doctoral programs, a vibrant undergraduate major, and a collaborative environment. There is excellent collaboration among faculty across areas, and close ties to other groups in the University, particularly the Center for Visual Science, Neuroscience, Psychology, Education, Psychiatry, the Center for Language Sciences, Computer Science, Data Science, the Eastman School of Music, and Biology. The city of Rochester, NY is a diverse, energetic, LGBTQ+ friendly, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods. Candidates should hold a PhD degree (or equivalent) in cognitive science, psychology, neuroscience, linguistics, or another relevant domain, and should have considerable research experience. Applicants should submit a CV, a statement of research and teaching interests, a statement discussing the ways in which the applicant?s experiences will shape their pursuits as a member of our faculty and help them add to the University's core values of Meliora (ever better), three representative publications, and contact information of three referees via the following website: https://apply.interfolio.com/153296. Questions concerning this position can be addressed to Prof. Karl Rosengren (karl.rosengren at rochester.edu), chair of the search committee, or Prof. Dora Biro (dbiro at ur.rochester.edu), chair of the Department of Brain and Cognitive Sciences. Rolling review of applications will begin on November 1, 2024. Salary: $106,000 ? $111,000 (9-month salary) The referenced pay range represents the full base range of pay for this job. Individual salaries will be determined within the job?s salary range and established based on market data, experience and expertise of the individual, and internal equity considerations. The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education. EOE / Minorities / Females / Protected Veterans / Disabled ----------------------------------------------------- Coraline Rinn Iordan, Ph.D., ???? she / her ----------------------------------------------------- PI, Naturalistic Cognition Lab Assistant Professor, Brain and Cognitive Sciences Assistant Professor, Neuroscience Affiliated Faculty, Goergen Institute for Data Science University of Rochester ----------------------------------------------------- www2.bcs.rochester.edu/coraline-iordan ----------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: