From anna.kalenkova at adelaide.edu.au Thu Sep 1 04:13:42 2022 From: anna.kalenkova at adelaide.edu.au (Anna Kalenkova) Date: Thu, 1 Sep 2022 08:13:42 +0000 Subject: Connectionists: ICPM 2022 Registration extended Message-ID: Early-bird registration for ICPM 2022 has been extended until September 21! https://icpmconference.org/2022/registration/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From emre.ugur at boun.edu.tr Thu Sep 1 07:43:49 2022 From: emre.ugur at boun.edu.tr (Emre Ugur) Date: Thu, 1 Sep 2022 14:43:49 +0300 Subject: Connectionists: Deadline extended! IROS 2022 Workshop on Lifelong Learning of High-level Cognitive and Reasoning Skills Message-ID: Call for Papers: IROS 2022 Workshop on Lifelong Learning of High-level Cognitive and Reasoning Skills Submission deadline extended! A Full-day Hybrid Event October 23, 2022 https://lifelongrobotics.github.io Important dates - Paper/Abstract Submission Deadline: Sep 30, 2022 - Acceptance Notification: October 07, 2022 - Workshop date: Oct 23, 2022 Invited Speakers: - Eric Eaton, University of Pennsylvania - George Konidaris, Brown University - Jeff Clune, OpenAI, University of British Columbia - Jun Tani, Okinawa Institute of Science and Technology - Minoru Asada, Osaka University - Stefanie Tellex, Brown University - Tamim Asfour, Karlsruhe Institute of Technology - Yukie Nagai, University of Tokyo This workshop will focus on how to create open-ended or life-long learning systems that will allow for a robot to autonomously explore its environment and learn ever-growing representations for perception and actuation. This is an underexplored area in robotics and artificial intelligence research that can contribute to the development of generally capable agents. We will discuss the necessary elements (e.g., methods, environments, datasets, embodiments) for a life-long learning setting. We will encourage participants to take part in discussions with the following points: - How to adopt the current open-ended methods for life-long robot learning - Are the current machine learning methods sufficient for life-long learning - How to combine the current toolset of ML for life-long learning - How to design end-to-end systems for life-long learning - What are the necessary components for a life-long learning system? Which parts should we take for granted? - How to design appropriate environments both in simulation and real-world that support life-long learning Submissions: We accept regular papers (up to 8 pages of unpublished work) and extended abstracts (up to 4 pages of novel work or from a recently published paper) in standard IEEE format, excluding unlimited pages for references. The review process will be single-blind. 10 minutes will be allocated for each regular paper, and 2-10 minutes for each extended abstract. Papers will be submitted through CMT (https://cmt3.research.microsoft.com/LLR2022). The topics that are indicative but by no means exhaustive are as follows: - Open-ended learning, life-long learning - Continual learning, transfer learning, catastrophic forgetting - Multi-task learning, meta-learning - Modularity - Computational approaches to the study of development and learning - Machine learning techniques for robot learning and development - Cognitive and perceptual development - Concept formation and symbol grounding - Imitation learning - Embodied cognition - Affordance learning - Interactive learning - Exploration and learning in animals and robots - Curiosity and intrinsic motivation - Skill and language acquisition - Human assisted learning and scaffolding - Human-robot interaction Organizing Committee: - Alper Ahmetoglu (contact person), Bogazici University - M. Tuluhan Akbulut (contact person), Brown University - Erhan Oztop, Ozyegin University / Osaka University - Justus Piater, University of Innsbruck - Tadahiro Taniguchi, Ritsumeikan University - Emre Ugur, Bogazici University -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Thu Sep 1 18:58:13 2022 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 01 Sep 2022 15:58:13 -0700 Subject: Connectionists: NEURAL COMPUTATION - September 1, 2022 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 34, Number 9 - September 1, 2022 Now available for online download: http://www.mitpressjournals.org/toc/neco/34/9 http://cognet.mit.edu/content/neural-computation ----- Articles A Model of Semantic Completion in Generative Episodic Memory Laurenz Wiskott, Zahra Fayyaz, Aya Altamimi, Carina Zoellner, Nicole Klein, Oliver T. Wolf, and Sen Cheng Letters Probing the Relationship Between Latent Linear Dynamical Systems and Low-rank Recurrent Neural Network Models Adrian Valente, Srdjan Ostojic, and Jonathan Pillow Bayesian Integration in a Spiking Neural System for Sensorimotor Control claudia casellato, Massimo Grillo, Alice Geminiani, Cristiano Alessandro, Egidio D?Angelo, and Alessandra Pedrocchi Scalability of Large Neural Network Simulations via Activity Tracking With Time Asynchrony and Procedural Connectivity Alexandre Muzy, Gilles Scarella, Patricia Reynaud-Bouret, and Cyrille Mascart Information Geometrically Generalized Covariate Shift Adaptation Masanari Kimura, Hideitsu Hino Permitted Sets and Convex Coding in Non-Threshold Linear Networks Steven Collazos, Duane Nykamp ----- 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 zren at l3s.de Fri Sep 2 06:15:32 2022 From: zren at l3s.de (Zhao Ren) Date: Fri, 02 Sep 2022 12:15:32 +0200 Subject: Connectionists: Call for papers IEEE J-BHI special issue: Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things Message-ID: <4d070ccba4543781afc5aa28066d47ef@l3s.de> Dear?all, we are recently organising a special issue on Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things in IEEE Journal of Biomedical and Health Informatics (J-BHI) (Impact Factor: 7.021). We kindly invite you and your colleagues who are interested to contribute an article. The special issue will highlight, but not be limited to the following topics: *Trustworthy AI models for health, medicine, biology, and biomedical applications *AI-driven?Edge?of?Things?infrastructure?for?healthcare *Discussion of the trade-off between explainability and performance of machine learning *Development of model-specific or model-agnostic approaches for explaining machine learning models *Generation and detection of adversarial attacks for safety in AI systems for personalised healthcare *Federated Learning for data privacy in AI systems for personalised healthcare *Fairness?and?bias?issues?in?AI?systems?for?personalised?healthcare *Designing?integrating?virtual?agents?for?healthcare?usages *Collaborative?robots?for?healthcare?usages More?details?can?be?found?in?the?following?link: https://www.embs.org/jbhi/special-issues-page/trustworthy-and-collaborative-ai-for-personalised-healthcare-through-edge-of-things/ Thanks?you?and?best?regards, Zhao?Ren -- Dr.-Ing. Zhao Ren Researcher Forschungszentrum L3S Leibniz Universit?t Hannover Lange Laube 6, Room 611 30159 Hannover Germany E-Mail: zren at l3s.de From gustau.camps at uv.es Fri Sep 2 13:48:50 2022 From: gustau.camps at uv.es (Gustau Camps-Valls) Date: Fri, 2 Sep 2022 19:48:50 +0200 Subject: Connectionists: 5 PhD and postdoc positions on AI for Earth sciences - University of Valencia Message-ID: <60af1e35-d03b-2648-2b94-ac39bac09ee7@uv.es> 5 PhD and postdoc positions on AI for Earth sciences - University of Valencia Dear Colleagues, We have 5 open PhD and postdoc positions in two exciting projects: 1. "Causal4Africa: Causal inference to understand food security" in collaboration with the University of Reading and Microsoft Research 2. "AI4CS: AI for Complex Systems" in collaboration with many national and international institutes, and with tight connections with our ERC Synergy Grant USMILE on "Understanding and Modeling the Earth System with Machine Learning" * Details about the positions and the application form are here: http://isp.uv.es/openings * Applications will be evaluated as soon as they are received, and the positions will remain open until filled. * Full consideration will be given to applications that are received before October 15, 2022 * Who should apply? only if you are knowledgeable in machine learning, deep learning & causal inference, and strongly interested in Earth, climate and social sciences. Please feel free to share with any potential candidates! Best regards, Gustau -- ---------------------------------------------------------- Prof. Gustau Camps-Valls, IEEE Fellow, ELLIS Fellow Image Processing Laboratory (IPL) - Building E4 - Floor 4 Universitat de Val?ncia C/ Catedr?tico Jos? Beltr?n, 9 46980 Paterna (Val?ncia). Spain ? phone??? : +34 963 544 064 ? web????? : http://isp.uv.es ? e-mail?? : gustau.camps at uv.es ? twitter? : http://twitter.com/isp_uv_es From smart at neuralcorrelate.com Fri Sep 2 17:34:10 2022 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Fri, 2 Sep 2022 17:34:10 -0400 Subject: Connectionists: CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 18TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST In-Reply-To: <00da01d8bf12$c3cc43d0$4b64cb70$@neuralcorrelate.com> References: <0ba801d792f8$b73f4280$25bdc780$@neuralcorrelate.com> <0d9301d7931c$4f7ae360$ee70aa20$@neuralcorrelate.com> <0da201d7931c$7c0c0990$74241cb0$@neuralcorrelate.com> <00da01d8bf12$c3cc43d0$4b64cb70$@neuralcorrelate.com> Message-ID: <010901d8bf13$bd597530$380c5f90$@neuralcorrelate.com> **** CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 18TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST**** http://illusionoftheyear.com We are happy to announce the 18th edition of world's Best Illusion of the YearSM Contest!! 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 2021) 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 2022 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 ( smart at neuralcorrelate.com) until September 30th, 2022. 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 petersen.peter at gmail.com Fri Sep 2 15:23:54 2022 From: petersen.peter at gmail.com (Peter Petersen) Date: Fri, 2 Sep 2022 21:23:54 +0200 Subject: Connectionists: Fully funded Postdoc in Systems Neuroscience at University of Copenhagen Message-ID: We are seeking a highly motivated postdoctoral fellow for a project addressing the generation and functions of theta oscillations in spatial navigation using systems neuroscience and population-level approaches. The research will take place at the Department of Neuroscience ( https://in.ku.dk/) at University of Copenhagen in the lab of Dr. Peter C. Petersen (https://petersenlab.org/). The project involves performing electrophysiological recordings from freely moving animals using chronically implanted high-density Neuropixels silicon probes, applying optogenetics for single cell tagging, and behavioral manipulations. *Application deadline: October 1, 2022.* *Our research* Our lab was founded in 2022, with the goal to understand the neuronal mechanisms involved in memory and cognition and how imbalances in the circuits can lead to pathological conditions. In particular, we study spatial memory, and theta oscillations in behaving rats, and how the distributed populations of neurons across the distributed brain circuits central to memory, are coordinating their dynamics to generate complex cognitive functions in awake rodents. We are using state-of-the-art methods for measuring and manipulating the neuronal activity at large-scale and high specificity, together with advanced data analysis. This includes using Neuropixels and other high-density silicon probes, applying optogenetics, thermal and other perturbation techniques, dimensionality reduction, and other advanced population-analysis methods. *Learn more about the position and the application process here*: https://employment.ku.dk/faculty/?show=157309 Peter C. Petersen, *PhD* *Assistant Professor and Group Leader* *Department of Neuroscience* University of Copenhagen Blegdamsvej 3B, building 33.3.52. 2200 Copenhagen, Denmark Website: PetersenLab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Sep 3 08:39:40 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 3 Sep 2022 14:39:40 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Winter: early registration September 26 Message-ID: <684666020.2712193.1662208781047@webmail.strato.com> ****************************************************************** 8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: September 26, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Winter will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria and Lule?. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2023 Winter is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2023 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: Talbot Campus Bournemouth University https://www.bournemouth.ac.uk/about/contact-us/directions-maps/directions-our-talbot-campus STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), CTRL: Closed-Loop Data Transcription via Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] Deep Learning for 3D Vision Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Seungjin Choi (Intellicode), [introductory/intermediate] Bayesian Optimization over Continuous, Discrete, or Hybrid Spaces Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare Luc De Raedt (KU Leuven), [introductory/intermediate] From Statistical Relational to Neuro-Symbolic Artificial Intelligence Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Zhiting Hu (University of California, San Diego) & Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A "Standard Model" for Machine Learning with All Experiences Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Abdelrahman Mohamed (Meta), [intermediate/advanced] Speech Representation Learning for Recognition and Generation Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Richa Singh (Indian Institute of Technology Jodhpur), [introductory/intermediate] Trusted AI Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Bram van Ginneken (Radboud University Medical Center), [introductory/intermediate] Deep Learning for Medical Image Analysis Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by January 8, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by January 8, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by January 8, 2023. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, local co-chair) Marcin Budka (Bournemouth) Vegard Engen (Bournemouth) Nan Jiang (Bournemouth, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023wi/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2023wi/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Bournemouth University Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From ieao at colourfig.com Sun Sep 4 22:23:09 2022 From: ieao at colourfig.com (Ifedayo-Emmanuel Adeyefa-Olasupo) Date: Mon, 5 Sep 2022 02:23:09 +0000 Subject: Connectionists: figbox 3.0 Message-ID: Dear Colleagues, I would like to inform everyone that a new version of figbox is now available. Please click the following link to learn more: https://figbox.co/ Best, Ifedayo-Emmanuel p.s. special thanks to all of those who have continued to provide feedback. -------------- next part -------------- An HTML attachment was scrubbed... URL: From avinashsingh214 at gmail.com Mon Sep 5 02:54:44 2022 From: avinashsingh214 at gmail.com (Avinash K Singh) Date: Mon, 5 Sep 2022 16:54:44 +1000 Subject: Connectionists: SI: Advances and Challenges to Bridge Computational Intelligence and Neuroscience for Brain-computer Interface (Last date: 14th Oct 2022) Message-ID: Dear All, Brain-computer interfaces (BCIs) are a highly interdisciplinary research field consisting of researchers from neuroscience, mathematics, computer science, engineering, etc. They contribute to BCIs by developing and proposing new methods, techniques, BCI paradigms, brain signals recording methods, devices, and generating lots of information and data. Although most of the information is regularly available from peer-reviewed platforms and shared over open access data and method repository, it faces an incredible challenge in interpreting, reusing, comparing, and benchmarking. This challenge is growing significantly between computational intelligence and neuroscience research due to the current flow of readily available tools and devices. In this context, we welcome studies that help find a unique approach to solve the problem of unifying computational intelligence and the neuroscience community for BCI development. Therefore, we are looking for research studies on different techniques in machine learning, novel framework in BCI, unified format for terminologies and representation, automated tool to convert large open-source datasets, case studies of a converted dataset. We welcome original research, review, methods, and perspective articles that cover, but are not limited to, the following topics: - Novel frameworks for BCI data resharing - Unified functional models of BCI - Automated machine learning tools and pipelines to populate metadata in BCI - Methods, techniques, and tools to convert large open BCI dataset into a unified format - Benchmarking approaches for BCI Topic Editor(s): - Avinash Kumar Singh, University of Technology Sydney, Sydney, Australia - Luigi Bianchi, University of Rome Tor Vergata, Roma, Italy - Davide Valeriani, Neurable Inc., Boston, United States - Masaki Nakanishi, Institute for Neural Computation, University of California, San Diego, San Diego, United States *Last date of submission: 14th Oct 2022* This topic is cross listed in *three journals* and you can submit to any of them: - Neurotechnology and Systems Neuroergonomics - *Frontiers in Neuroergonomics* - Human-Media Interaction - *Frontiers in Psychology* - Human-Media Interaction - *Frontiers in Computer Science* Research Topic Title: *Advances and Challenges to Bridge Computational Intelligence and Neuroscience for Brain-computer Interface* Here are quick links to: - Submission Link: https://www.frontiersin.org/research-topics/27045 - Author guidelines: https://www.frontiersin.org/about/author-guidelines - List of article types and publishing fees: https://www.frontiersin.org/about/publishing-fees Kind Regards, Dr Avinash K Singh Topic Editor, Neurotechnology and Systems Neuroergonomics Section, Frontiers in Neuroergonomics -------------- next part -------------- An HTML attachment was scrubbed... URL: From el-ghazali.talbi at univ-lille.fr Mon Sep 5 04:47:43 2022 From: el-ghazali.talbi at univ-lille.fr (El-ghazali Talbi) Date: Mon, 5 Sep 2022 10:47:43 +0200 Subject: Connectionists: Postdoc in Machine learning and optimization (France) Message-ID: Dear all, please find enclosed a postdoc position in France. regards -- Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS -------------- next part -------------- A non-text attachment was scrubbed... Name: postDoc_proposal.pdf Type: application/pdf Size: 55559 bytes Desc: not available URL: From riccardo.guidotti at unipi.it Mon Sep 5 08:25:26 2022 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Mon, 5 Sep 2022 14:25:26 +0200 Subject: Connectionists: 3rd Italian Workshop on Explainable Artificial Intelligence (XAI.it) - CALL FOR PAPERS Message-ID: *** Apologies for cross-postings *** XAI.it Workshop @AIxIA 2022 - CALL FOR PAPERS ---------------------------------------------------------------------- 3rd Italian Workshop on Explainable Artificial Intelligence (XAI.it) November 28 - December 2, 2022 co-located with AIxIA 2022 ( https://aixia2022.uniud.it/ ) - Udine, Italy Twitter: https://twitter.com/XAI_Workshop Web: http://www.di.uniba.it/~swap/xai-it/ Submission: https://easychair.org/my/conference?conf=xaiit2022 For any information: cataldo.musto at uniba.it ========= HIGHLIGHTS ========= - DEADLINE: October 3, 2022 - CEUR conference proceedings ========= ABSTRACT ========= Nowadays we are witnessing a new summer of Artificial Intelligence, since AI-based algorithms are being adopted in a growing number of contexts and applications domains, ranging from media and entertainment to medical, finance, and legal decision-making. While the very first AI systems were easily interpretable, the current trend showed the rise of opaque methodologies such as those based on Deep Neural Networks (DNN), whose (very good) effectiveness is contrasted by the enormous complexity of the models, which is due to the huge number of layers and parameters that characterize these models. As intelligent systems become more and more widely applied (especially in very 'sensitive' domains), it is not possible to adopt opaque or inscrutable black-box models or to ignore the general rationale that guides the algorithms in the task it carries on Moreover, the metrics that are usually adopted to evaluate the effectiveness of the algorithms reward very opaque methodologies that maximize the accuracy of the model at the expense of transparency and explainability. This issue is even more felt in the light of recent experiences, such as the General Data Protection Regulation (GDPR) and DARPA's Explainable AI Project, which further emphasized the need and the right for scrutable and transparent methodologies that can guide the user in complete comprehension of the information held and managed by AI-based systems. Accordingly, the main motivation of the workshop is simple and straightforward: how can we deal with such a dichotomy between the need for effective intelligent systems and the right to transparency and interpretability? These questions trigger several lines, that are particularly relevant for the current research in AI. The workshop tries to address these research lines and aims to provide a forum for the Italian community to discuss problems, challenges, and innovative approaches in the area. ====== TOPICS ====== Several research questions are triggered by this workshop: 1. How to design more transparent and more explainable models that maintain high performance? 2. How to allow humans to understand and trust AI-based systems and methods? 3. How to evaluate the overall transparency and explainability of the models Topics of interest: - Explainable Artificial Intelligence - Interpretable and Transparent Machine Learning Models - Strategies to Explain Black Box Decision Systems - Designing new Explanation Styles - Evaluating Transparency and Interpretability of AI Systems - Technical Aspects of Algorithms for Explanation - Theoretical Aspects of Explanation and Interpretability - Ethics in Explainable AI - Argumentation Theory for Explainable AI ============ SUBMISSIONS =========== We encourage the submission of original contributions that investigate novel methodologies to build transparent and scrutable AI systems and algorithms. In particular, authors can submit: (A) Regular papers (max. 12 + references - CEUR.ws format); (B) Short/Position papers (max 6 pages + references - CEUR.ws format); Submission Site: https://easychair.org/my/conference?conf=xaiit2022 All submitted papers will be evaluated by at least two members of the program committee, based on originality, significance, relevance and technical quality. Papers should be formatted according to the CEUR.ws format (http://ceur-ws.org/Vol-XXX/CEURART.zip ). Submissions should be single-blinded, i.e. authors' names should be included in the submissions. Submissions must be made through the EasyChair conference system prior to the specified deadline (all deadlines refer to GMT). At least one of the authors should register and take part in the conference to make the presentation. ================ IMPORTANT DATES =============== * Paper submission deadline: October 3, 2022 (11:59PM UTC-12) * Notification to authors: October 30, 2022 * Camera-Ready submission: November 7, 2022 ================ PROCEEDINGS AND POST-PROCEEDINGS =============== All accepted papers will be published in the AIxIA series of CEUR-WS. Authors of selected papers, accepted to the workshops, will be invited to submit a revised and extended version of their work. ============= ORGANIZATION ============= Cataldo Musto - University of Bari, Italy Riccardo Guidotti - University of Pisa, Italy Anna Monreale - University of Pisa, Italy Giovanni Semeraro - University of Bari, Italy ======================= PROGRAM COMMITTEE ======================= Davide Bacciu, University of Pisa Valerio Basile, University of Torino Ludovico Boratto, EURECAT Roberta Calegari, University of Bologna Roberto Capobianco, Sapienza University of Rome Federica Cena, University of Torino Nicolo' Cesa-Bianchi, University of Milano Roberto Confalonieri, Free University of Bozen-Bolzano Rodolfo Delmonte, University Ca' Foscari Mauro Dragoni, Fondazione Bruno Kessler Stefano Ferilli, University of Bari Alessandro Giuliani, University of Cagliari Andrea Iovine, University of Bari Kyriaki Kalimeri, ISI Foundation Antonio Lieto, University of Torino Francesca A. Lisi, University of Bari Noemi Mauro, University of Torino Alessandro Mazzei, University of Torino Andra Omicini, University of Bologna Antonio Rago, Imperial College London Amon Rapp, University of Torino Gaetano Rossiello, IBM Research Salvatore Ruggieri, University of Pisa Giuseppe Sansonetti, Roma Tre University Mattia Setzu, University of Pisa Stefano Teso, Katholieke Universiteit Leuven Gabriele Tolomei, Sapienza University of Rome Autilia Vitiello, University of Naples -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at unipi.it Web: http://kdd.isti.cnr.it/homes/guidotti/ KDD Lab, Room: 363 Phone: +39 050 221 3134 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Sep 6 03:23:57 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 6 Sep 2022 10:23:57 +0300 Subject: Connectionists: Hybrid "AI Mellontology (futurology) Symposium 2022" on 23 September 2022 in Thessaloniki, Greece References: <025701d8c0fc$fcf49a90$f6ddcfb0$@csd.auth.gr> <000201d8c15a$6cb665e0$462331a0$@csd.auth.gr> Message-ID: <052601d8c1c1$a13bcf50$e3b36df0$@csd.auth.gr> Dear AI researcher, scientist, engineer, student, enthusiast, You are welcome to attend the free "AI Mellontology Symposium" on 23 September 2022 to debate futuristic topics on AI research and social/industrial impact! The event is organized by the Aristotle University of Thessaloniki and CERTH and it is sponsored by AI4Media and ELISE . Symposium page The symposium program, panel topic descriptions, and registration links can be found at http://icarus.csd.auth.gr/ai-mellontology-e-symposium-2022/ Venue & participation The 2022 AI Mellontology Symposium will take place in the Meteoroscopy Auditorium, AUTH Campus, Aristotle University of Thessaloniki, Greece. Hybrid (local and remote) participation is foreseen. Registration is required - you can register here . Remote participation is free. For remote participants, a Zoom link & password will be sent after registration. There is a very small registration fee (20 ?) for in person participation or for remote participation (in case a participation certificate is requested) for people outside the AI4Media consortium. Sponsorship Horizon2020 AI flagship R&I projects AI4Media and ELISE , together with the International AI Doctoral Academy (AIDA) joined forces in sponsoring this event. Format There will be 7 sessions (4 in the morning and 3 in the afternoon) where participants will debate the ?AI future ?, namely hot AI research issues with diverse scientific, societal, legal, ethical, industrial and economic aspects. The 7 sessions will focus on the following topics: * AI-based recommender systems: social and legal perspectives * Collaborative AI * Human ? AI Symbiosis * AI studies: AI PhD Excellence. AI Curriculum. AI Science and Engineering? * Latent brain * How AI meets human in media houses? Recommendation systems and Media * AI Act: key elements and state of play Session panelists will make their short statements during each panel to initiate discussion by the audience. Discussion will be informal, hopefully lively and hot, aiming to debate contrasting views (thesis-antithesis) on each issue. You are welcome to a) watch panelist and other views and voice your own views on any panel topic, by using the ?Voice your views? area, b) propose your own AI grand challenge, and c) actively participate in each panel discussion. The more innovative, futuristic, even provocative your views are, the better. The discussion will be conducted though in a scientific way and in good faith. The entire discussion and contributions will be compiled later on in a public ?AI research white paper? that will be used to guide R&I anywhere in the world, notably in the framework of AIDA and Horizon2020 ICT48 R&I projects. The end of September is a very nice time to visit Thessaloniki and its surroundings (for cultural sightseeing, swimming, grape harvesting). An optional cultural trip is foreseen on the 24th of September 2022 to visit the Royal Macedonian Tombs and Museum in Vergina and a winery in Naoussa. For any questions, you can contact the Symposium secretary Mrs. Ioanna Koroni koroniioanna at csd.auth.gr (for organizational matters) or Prof. Ioannis Pitas pitas at csd.auth.gr (for scientific matters). On behalf of the Organizing Committee Prof. Ioannis Pitas AI Mellontology Symposium chair -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 1137162 bytes Desc: not available URL: From hocine.cherifi at gmail.com Tue Sep 6 04:27:29 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 6 Sep 2022 10:27:29 +0200 Subject: Connectionists: Call for Participation COMPLEX NETWORKS 2022 Palermo November 08 - 10, 2022 Message-ID: *11th** International Conference on Complex Networks & Their Applications* *Palermo, Italy *November 08 - 10, 2022 COMPLEX NETWORKS 2022 *See the detailed program at :* https://easychair.org/smart-program/COMPLEXNETWORKS2022/ *Registration:* https://complexnetworks.org/registration/ *SPEAKERS* ? Lu?s A. Nunes Amaral Northwestern University USA ? Manuel Cebrian Max Planck Institute for Human Development Germany ? Shlomo Havlin Bar-Ilan University in Israel ? Giulia Iori City, University of London UK ? Melanie Mitchell Santa Fe Institute USA ? Ricard Sol? Universitat Pompeu Fabra Spain *TUTORIALS (November 07, 2022)* ? Michele Coscia IT University of Copenhagen Denmark ? Adriana Iamnitchi Maastricht University, Netherlands Best regards, and looking forward to seeing you at COMPLEX NETWORKS 2022. Hocine Cherifi Rosario N. Mantegna Luis M. Rocha COMPLEX NETWORKS 2022 General Chairs Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From xavier.hinaut at inria.fr Mon Sep 5 17:49:18 2022 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Mon, 5 Sep 2022 23:49:18 +0200 Subject: Connectionists: 3rd SMILES workshop in less than one week! (12 sept.) Message-ID: The 3rd SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place both on site and virtually at ICDL 2022 conference. **9am-6pm UTC+1 (London time) on September 12, 2022** * Invited talks: - Joanna Raczaszek-Leonardi (University of Warsaw, Poland) - Joel Z Leibo (DeepMind, London, UK) - Lorijn Zaadnoordijk (Trinity College Dublin, Ireland) - Martin Butz & Christian Gumbsch (University of T?bingen, Germany) - Ida Momennejad (Microsoft Research NYC, USA) * Important info: - Registration: https://forms.gle/No8xFFkmfKXXdNMm7 (if you come onsite, you also need to register here: https://icdl2022.qmul.ac.uk/?page_id=50 ) - Workshop website: https://sites.google.com/view/smiles-workshop/ - Onsite venue: Graduate Center, Queen Mary University of London, UK. More info here: https://icdl2022.qmul.ac.uk/?page_id=103 - Venue online: via Zoom and Discord group. - Join our Discord: https://discord.gg/sBZbdSWRvJ (expires after 100 hits) - Follow us on Twitter: https://twitter.com/SMILESconf * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Symbol grounding and symbol emergence, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and language acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf at gmail.com - organizers: Xavier Hinaut, Cl?ment Moulin-Frier, Silvia Pagliarini, Joni Zhong, Michael Spranger, Tadahiro Taniguchi, Anne Warlaumont. - ICDL conference website: https://icdl2022.qmul.ac.uk/ Xavier Hinaut on behalf of the SMILES workshop organisers: - Cl?ment Moulin-Frier, Inria and Ensta ParisTech, Bordeaux, France - Anne Warlaumont, UCLA, Los Angeles, USA - Silvia Pagliarini, UCLA, Los Angeles, USA - Michael Spranger, Sony AI and Sony CSL, Tokyo, Japan - Tadahiro Taniguchi, Ritsumeikan University, Kyoto, Japan - Junpei Zhong, Hong Kong Polytechnic University, Hong Kong, China Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our new release of Reservoir Computing library: https://github.com/reservoirpy/reservoirpy -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Mon Sep 5 11:53:54 2022 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Mon, 5 Sep 2022 17:53:54 +0200 Subject: Connectionists: 2 year independent Postdoc position in human centered AI (German required) Message-ID: <20220905155354.GR20871@curry> The Institute for Neural Computation of the Faculty of Computer Science is looking for a Postdoc (m,f,x) for 2 years, full-time, TVL E13 The Institute for Neural Computation is part of the Faculty of Computer Science at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a postdoc in the group of Prof. Dr. Laurenz Wiskott to be filled October 1st. The project is part of the competence center HUMAINE for human-centered artificial intelligence, see https://humaine.info/, and will be developed in close collaboration with colleagues at RUB and application partners in industry, among others. We offer: * An interesting interdisciplinary environment in the field of Artificial Intelligence / Machine Learning. * Opportunity to develop an independent research profile and your own research group. * Opportunity to pursue further scientific qualification. * Diverse and interesting contacts at the university, in transfer, and in industry. * A lot of room for own ideas and initiatives. Your opportunities: * Acquiring and maintaining industry contacts. * Scientific advice for companies to help them introduce AI in work processes. * Advising corresponding PhD and student projects. * Coordination of events and teaching of advanced training courses about human-centered AI for developers and decision makers in industry Your profile: * Very good PhD in mathematics, computer science, engineering, or a related field * Solid knowledge in Artificial Intelligence / Machine Learning. * Good programming and mathematical skills * Good command of German. * Good organizational and communicative abilities. * Advantageous: + Experience in industry cooperations and interdisciplinary projects. + Programming skills in Python. Our offerings: * Challenging and varied tasks with a high degree of personal responsibility * Support from and cooperation with competent colleagues * A dynamic environment * Fair and flexible working hours * Support in reconciling family and work/academics (including childcare placement, holiday offers, mobile children's room) Additional information: The load of teaching will be calculated according to ? 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). Contact details for your application: Prof. Dr. Laurenz Wiskott, Phone: +49 234 32 27997 Travel expenses for interviews cannot be refunded. For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process. We are looking forward to receiving your application with the specification ANR: 800 until 30.09.2022, send by e-mail to the following address: laurenz.wiskott at rub.de extent: full-time duration: temporary beginning: as soon as possible application deadline: 30.09.2022 The Ruhr-Universit?t Bochum is one of Germany?s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB?s declared aim. The Ruhr-Universit?t Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universit?t Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. From xavier.hinaut at inria.fr Tue Sep 6 06:18:34 2022 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Tue, 6 Sep 2022 12:18:34 +0200 Subject: Connectionists: Job: ML Engineer to extend ReservoirPy library for health data (Reservoir Computing) Message-ID: We are looking for an engineer for at least one year to work with the open source ReservoirPy library on health data. You will be working in Bordeaux, France in the Mnemosyne computational neuroscience group https://team.inria.fr/mnemosyne in collaboration with other Bordeaux teams involved in biostatistics and machine learning. More info and online application: https://jobs.inria.fr/public/classic/en/offres * ReservoirPy ReservoirPy [1, 2, 3] is a simple user-friendly library based on Python scientific modules. It provides a flexible interface to implement efficient Reservoir Computing (RC) [5] architectures with a particular focus on Echo State Networks (ESN) [4]. Advanced features of ReservoirPy allow to improve computation time efficiency on a simple laptop compared to basic Python implementation. Some of its features are: offline and online training, parallel implementation, sparse matrix computation, fast spectral initialization, advanced learning rules (e.g. Intrinsic Plasticity) etc. It also makes possible to easily create complex architectures with multiple reservoirs (e.g. deep reservoirs), readouts, and complex feedback loops. Moreover, graphical tools are included to easily explore hyperparameters with the help of the hyperopt library. It includes several tutorials exploring exotic architectures and examples of scientific papers reproduction. Github: https://github.com/reservoirpy/reservoirpy Documentation: https://reservoirpy.readthedocs.io Related projects: https://github.com/reservoirpy Twitter: https://twitter.com/reservoirpy * Deadline: 20th of September 2022 For informal questions send an email to xavier dot hinaut at inria dot fr. Online application: https://jobs.inria.fr/public/classic/en/offres * Contract Engineer contract of 1 year, with possibility to extend the contract to more years or to continue in the team as PhD student. * Benefits package - Subsidized meals - Partial reimbursement of public transport costs - Possibility of partial teleworking and flexible organization of working hours - Professional equipment available (videoconferencing, loan of computer equipment, etc.) - Social, cultural and sports events and activities - Access to vocational training - Social security coverage [1] Trouvain N, Pedrelli L, Dinh TT, Hinaut X (2020). Reservoirpy: an efficient and user-friendly library to design echo state networks. International Conference on Artificial Neural Networks, 494-505. https://hal.inria.fr/hal-02595026v2/document [2] Trouvain, N., Rougier, N. P., & Hinaut, X. (2022). Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy. In FROM ANIMALS TO ANIMATS 16: The 16th International Conference on the Simulation of Adaptive Behavior (SAB2022). https://hal.inria.fr/hal-03761440/document [3] Nathan Trouvain, Xavier Hinaut. reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python. 2022. HAL preprint hal-03699931. https://hal.inria.fr/hal-03699931/document [4] Jaeger, H., & Haas, H. (2004). Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. science, 304(5667), 78-80. [5] Luko?evi?ius, M., & Jaeger, H. (2009). Reservoir computing approaches to recurrent neural network training. Computer Science Review, 3(3), 127-149. Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Mon Sep 5 23:16:13 2022 From: junfeng989 at gmail.com (Jun Feng) Date: Mon, 5 Sep 2022 23:16:13 -0400 Subject: Connectionists: The 8th IEEE International Conference on Privacy Computing [Deadline Extended: Sep. 20][Hybrid Conference][10+ Special Issues] Message-ID: The 8th IEEE International Conference on Privacy Computing [Deadline Extended: Sep. 20][Hybrid Conference][10+ Special Issues] [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= CFP: The 8th IEEE International Conference on Privacy Computing (PriComp 2022) [10+ Special Issues] Dec. 15-18, Haikou, China [Submission Deadline Extended: Sep. 20] http://www.ieee-smart-world.org/2022/pricomp/ **PriComp 2022 supports Virtual Conference for foreign authors out of China.** PriComp 2022 is the 8th in this series of conferences started in 2015 that are devoted to algorithms and architectures for Privacy Computing. PriComp conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of Privacy Computing systems and applications. Following the traditions of the previous successful PriComp conferences held in Fuzhou, China (2015); Qingdao, China (2016); Melbourne, Australia (2017); Boppard, Germany (2018); Canterbury, UK (2019); Hainan, China (2020) and Xi'an, Shanghai, China (online, 2021); PriComp 2022 will be held in Haikou, China. PriComp 2022 will focus on an evolving pathway from privacy protection to privacy computing, by serving as an international premier forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of privacy computing. The conference of PriComp 2022 is co-organized by Chinese Information Processing Society of China, Institute of Information Engineering, CAS, and Hainan University. ================== Important Dates ================== Paper Submission (Deadline Extended): September 20, 2022 Author Notification: October 15, 2022 Camera-Ready Submission: October 31, 2022 Conference Date: December 15-18, 2022 ================== Topics of interest include, but are not limited to ================== - Theories and foundations for privacy computing - Programming languages and compilers for privacy computing - Privacy computing models - Privacy metrics and formalization - Privacy taxonomies and ontologies - Privacy information management and engineering - Privacy operation and modeling - Data utility and privacy loss - Cryptography for privacy protection - Privacy protection based information hiding and sharing - Data analytics oriented privacy control and protection - Privacy-aware information collection - Privacy sensing and distribution - Combined and comprehensive privacy protection - Privacy-preserving data publishing - Private information storage - Private integration and synergy - Private information exchange and sharing - Privacy inference and reasoning - Internet and web privacy - Cloud privacy - Social media privacy - Mobile privacy - Location privacy - IoT privacy - Behavioral advertising - Privacy in large ecosystems such as smart cities - Privacy of AI models and systems - AI for privacy computing - Privacy and blockchain - User-centric privacy protection solutions - Human factors in privacy computing - Privacy nudging - Automated solutions for privacy policies and notices - Legal issues in privacy computing and other interdisciplinary topics ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N29960) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Special Issues ================== All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in SCI & EI indexed prestigious journals. 1. Special issue on ?Dark side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation?, IEEE Transactions on Computational Social Systems http://cyber-science.org/2022/assets/files/si/220412_IEEE%20TCSS_SI.pdf 2. Special issue on ?Responsible AI in Social Computing?, IEEE Transactions on Computational Social Systems https://www.ieeesmc.org/images/publications/pdfs/Call_for_Paper_-_SI_on_Responsible_AI_in_Social_Computing.pdf 3. Special issue on ?Decentralized Trust Management with Intelligence?, Information Science https://www.journals.elsevier.com/information-sciences/call-for-papers/decentralized-trust-management-with-intelligence 4. Special issue on ?Resource Sustainable Computational and Artificial Intelligence?, IEEE Transactions on Emerging Topics in Computational Intelligence 5. Special issue on ?Smart Blockchain for IoT Trust, Security and Privacy?, IEEE IoT Journal https://ieee-iotj.org/wp-content/uploads/2022/05/IEEEIoT-SmartBlockchain-TSP.pdf 6. Special issue on ?Edge Computing Optimization and Security?, Journal of Systems Architecture https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/edge-computing-optimization-and-security-vsi-edgeos2022 7. Special issue on ?Distributed Learning and Blockchain Enabled Infrastructures for Next Generation of Big Data Driven Cyber-Physical Systems?, Journal of Systems Architecture http://cyber-science.org/2022/assets/files/si/JSA_SI_0331.pdf 8. Special issue on ?Distributed and Collaborative Learning Empowered Edge Intelligence in Smart City?, ACM Transactions on Sensor Networks https://dl.acm.org/pb-assets/static_journal_pages/tosn/pdf/ACM_TOSN_CFP1210-1640635690003.pdf 9. Special issue on ?Robustness, Privacy, and Forensics in Intelligent Multimedia Systems? Information Science https://www.journals.elsevier.com/information-sciences/forthcoming-special-issues/robustness-privacy-and-forensics-in-intelligent-multimedia-systems 10. Special issue on ?Embedded Software and Systems? Journal of Systems Architecture 11. Special issue on ?Efficient Management of Microservice-based Systems and Applications? Software: Practice and Experience https://onlinelibrary.wiley.com/page/journal/1097024x/homepage/special_issues.htm **** More special issues can be found at: http://www.ieee-smart-world.org/2022/pricomp/si.php ================== Organizing Committee ================== General Chairs - Fenghua Li, Institute of Information Engineering, CAS, China - Laurence T. Yang, Hainan University, China - Willy Susilo, University of Wollongong, Australia Program Chairs - Hui Li, Xidian University, China - Mamoun Alazab, Charles Darwin University, Australia - Jun Feng, Huazhong University of Science and Technology, China Local Chairs - Weidong Qiu, Shanghai Jiaotong University, China - Jieren Cheng, Hainan University, China Publicity Chairs - Bocheng Ren, Huazhong University of Science and Technology, China - Xin Nie, Huazhong University of Science and Technology, China - Peng Tang, Shanghai Jiao Tong University, China -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From malin.sandstrom at incf.org Tue Sep 6 03:13:39 2022 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Tue, 6 Sep 2022 09:13:39 +0200 Subject: Connectionists: Neo community review extended to Sep 29 - call for comments and feedback Message-ID: Dear all, INCF is asking for your help to review the Neo object model for electrophysiology data, to assess its value as a community standard. Participating is simple; read the INCF SBP committee review report on F1000 and leave your feedback in the comments! You can comment to express your support, to point out possibilities for improvement - or both. We are especially interested in hearing from Neo users and from tool developers who have implemented support for Neo or use Neo as part of their workflow. Please give us your feedback in a comment as soon as possible, but latest September 29: f1000research.com/documents/11-658 More information: Neo is an object model for handling electrophysiology data in multiple formats. It is suitable for representing data acquired from electroencephalographic, intracellular, or extracellular recordings, or generated from simulations. Neo has been implemented as a Python package for working with electrophysiology data, together with support for reading a wide range of neurophysiology file formats (including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, Igor Pro), and support for writing to a subset of these formats plus non-proprietary formats including Kwik and HDF5. Read more about Neo: Project page Documentation Github Paper -- Malin Sandstr?m, PhD Community Engagement Officer malin.sandstrom at incf.org ORCID: 0000-0002-8464-2494 International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels v?g 15 A SE-171 77 Stockholm Sweden http://www.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From uwe.aickelin at unimelb.edu.au Tue Sep 6 03:27:56 2022 From: uwe.aickelin at unimelb.edu.au (Uwe Aickelin) Date: Tue, 6 Sep 2022 07:27:56 +0000 Subject: Connectionists: Multiple Vacancies at the University for Melbourne Message-ID: Hi, Hope this message finds you well. Please consider sharing this with any interested researchers. The University of Melbourne?s School of Computing and Information Systems is recruiting for 4x open positions. Application deadlines: Sep 26, 2022 (Australian Eastern Daylight Time) Lecturer/Senior Lecturer in machine learning: https://go.unimelb.edu.au/282e Lecturer/Senior Lecturer in theory of computing: https://go.unimelb.edu.au/f82e Lecturer/Senior Lecturer in information systems: https://go.unimelb.edu.au/482e Senior Lecturer/Associate Professor in fairness: https://go.unimelb.edu.au/h82e (These are continuing positions equiv. US tenure track research & teaching / faculty positions at a range of levels.) We?re excited to invite applications from individuals passionate about research, training, teaching, and engagement, to join us at Australia?s premier university, situated in one of the world?s most liveable cities. Best, Uwe Aickelin -- Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect ? 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin at unimelb.edu.au http://aickelin.com/ | http://linkedin.com/in/aickelin -------------- next part -------------- An HTML attachment was scrubbed... URL: From morrison at fz-juelich.de Tue Sep 6 09:44:53 2022 From: morrison at fz-juelich.de (Abigail Morrison) Date: Tue, 6 Sep 2022 15:44:53 +0200 Subject: Connectionists: =?utf-8?q?Registration_for_=22Simulate_with_EBRAI?= =?utf-8?q?NS=E2=80=9D_training_is_*open*?= Message-ID: Dear colleagues, Registration for the workshop: Simulate with EBRAINS How to use EBRAINS research infrastructure and Fenix resources for simulations on a scale from molecules via small and large networks of point or structured spiking neurons to simplified whole brain activity and virtual environments is now open! The workshop will take place virtually from 7-10 November 2022. Registration is free but required. The workshop is open to anyone, with sessions designed for beginners but also at a more advanced level. More information: https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242 Best regards, Abigail Morrison on behalf of the organising team -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience J?lich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2428 8097504 Fax # : +49 2461 61-9460 Pronouns: she/her ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Tue Sep 6 14:29:00 2022 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 6 Sep 2022 18:29:00 +0000 Subject: Connectionists: Call for Participation -- SBP-BRiMS'2022: Social Computing, Behavior-Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2022 2022 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 20-23, 2022 Will be held in hybrid mode (Virtually & in-person at Carnegie Mellon University (CMU), Pittsburgh, USA) http://sbp-brims.org/ #sbpbrims Conference Registration: Registration is now open for the 2022 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Sep 20-23, 2022. Conference format is hybrid -- in person and virtual/online. You can register at the website: http://sbp-brims.org/2022/registration/ Conference Agenda: The program is now available ... http://sbp-brims.org/2022/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: PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). SBP-BRiMS 2022 Sept 20-23| In-Person at Pittsburgh, USA and Online/virtual www.sbp-brims.org Connect with #sbpbrims on social: Follow us on Facebook, Twitter and LinkedIn to receive updates. 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URL: From marcin at amu.edu.pl Wed Sep 7 06:03:54 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 7 Sep 2022 12:03:54 +0200 Subject: Connectionists: CALL FOR PAPERS AND SOLUTIONS -- IEEE BIG DATA 2022 -- 2000 USD to win in data analytics competition In-Reply-To: <6a6de455-472b-ccd7-5501-122c7ed2141f@pti.org.pl> References: <6a6de455-472b-ccd7-5501-122c7ed2141f@pti.org.pl> Message-ID: ++++++++++++++++++++++++++++++++++++++++++++++ SUBMISSION DEADLINE - OCTOBER 7 CONTACT PERSON - DOMINIK SLEZAK University of Warsaw & QED Software, Poland ++++++++++++++++++++++++++++++++++++++++++++++ COMPETITION DETAILS ++++++++++++++++++++++++++++++++++++++++++++++ IEEE Big Data 2022 Cup: Privacy-preserving Matching of Encrypted Images The task of the competition is to check whether the encoding/scrambling techniques that the competition organizers (MyLED & QED Software companies) use in their image-based monitoring systems are sufficiently secure and robust. We provide the competition participants with a (training) set of examples, whereby each example consists of a pair: the visible image (taken from the public domain) and its encoded (scrambled) version. Then, on a separate set of such visible-scrambled pairs (test/verification set), the participants have to decide (Yes/No) whether the scrambled file contains the visible image or not. Awards: + 2000 USD for the winning solution (+ the cost of IEEE Big Data 2022 registration) + 1000 USD for the 2nd place solution (+ the cost of IEEE Big Data 2022 registration) + 500 USD for the 3rd place solution (+ the cost of IEEE Big Data 2022 registration) The winners and other selected best-performing participants will be invited to submit papers to the special session / workshop held at the IEEE Big Data 2022 conference (published in the proceedings). Enroll to the competition and submit your solution(s): https://knowledgepit.ai/privacy-preserving-matching-of-images/ ++++++++++++++++++++++++++++++++++++++++++++++ SPECIAL SESSION DETAILS ++++++++++++++++++++++++++++++++++++++++++++++ 1. 40 Years of Rough Sets from Big Data Perspective: Our aim is to celebrate the 40th anniversary of the theory of Rough Sets by showing its connections to the major Big Data challenges. Rough Set methods are known to produce simple and interpretable decision models, coping efficiently with various aspects of data deficiencies and complexities. Rough Set paradigms are also used to scale data-based computations in various scenarios. The authors of paper submissions are therefore encouraged to look into the history of Rough Sets from the Big Data perspective, as well as introduce new Rough-Set-inspired approaches and solutions in the fields of Decision Making, Data Mining and Big Data. Submit your paper (IEEE 2-column format up to 10 pages): https://wi-lab.com/cyberchair/2022/bigdata22/scripts/submit.php?subarea=SP08 ++++++++++++++++++++++++++++++++++++++++++++++ 2. Information Granulation in Data Science and Scalable Computing: Our aim is to continue (the 8th time @ IEEE Big Data!) investigations of connections between Information Granulation / Granular Computing and Big Data. Granular Computing is a general approach for the usage of data blocks, clusters, etc. to build efficient computational and decision models for complex data-based systems. The authors of paper submissions are encouraged to report new foundations and applications of Information Granulation / Granular Computing in relation to other computing paradigms, as well as Big Data Science, Big Data Processing, Soft Computing, Intelligent Systems and Human-Computer Interaction. Submit your paper (IEEE 2-column format up to 10 pages): https://wi-lab.com/cyberchair/2022/bigdata22/scripts/submit.php?subarea=SP07 ++++++++++++++++++++++++++++++++++++++++++++++ DEADLINE FOR SUBMITTING PAPERS TO BOTH SESSIONS - OCTOBER 7 DEADLINE FOR SUBMITTING SOLUTIONS TO COMPETITION - OCTOBER 7 FOR DETAILS PLEASE CONTACT DOMINIK SLEZAK slezak at mimuw.edu.pl ++++++++++++++++++++++++++++++++++++++++++++++ From fdlafert at hotmail.com Wed Sep 7 05:15:34 2022 From: fdlafert at hotmail.com (Fabrizio Damicelli) Date: Wed, 7 Sep 2022 09:15:34 +0000 Subject: Connectionists: Python Package: Echo State Networks Message-ID: Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realms of "Biologically-inspired Neural Networks", "Shallow Learning" and "Recurrent Neural Networks" in general. "echoes": Machine Learning with Echo State Networks, a scikit-learn compatible package. Code Repository: https://github.com/fabridamicelli/echoes A few interesting features: - scikit-learn compatible, i.e. scikit-learn tools such as GridSearchCV should work out-of-the-box - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Flexible and customizable, e.g. use arbitrary connectivity, add custom activations, visualize neurons activity, etc. - Installation and getting started is easy: `pip install echoes` - Example notebooks: https://github.com/fabridamicelli/echoes/tree/master/examples/notebooks - Documentation: https://fabridamicelli.github.io/echoes/ As of today, a few people already trust it and the package registers >18K total downloads, ~500/month (pypi.org) and has been used already in a few research projects: - Hadaeghi et. al. (2021) Spatio-temporal feature learning with reservoir computing for T-cell segmentation in live-cell Ca2+ fluorescence microscopy: www.nature.com/articles/s41598-021-87607-y#Sec4 - Damicelli et.al. (2021) Brain Connectivity meets Reservoir Computing: www.biorxiv.org/content/10.1101/2021.01.22.427750v1.abstract - Fakhar et. al. (2022) Causal Influences Decouple From Their Underlying Network Structure In Echo State Networks: arxiv.org/abs/2205.11947 Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/echoes/issues). All the best, Fabrizio -------------- next part -------------- An HTML attachment was scrubbed... URL: From florian.roehrbein at in.tum.de Wed Sep 7 11:12:06 2022 From: florian.roehrbein at in.tum.de (=?utf-8?Q?Florian_R=C3=B6hrbein?=) Date: Wed, 7 Sep 2022 17:12:06 +0200 Subject: Connectionists: [jobs] 7 permanent PostDoc positions Message-ID: <257B3BA8-C702-47A2-8D9F-CB4561E9A40E@in.tum.de> As part of its data and AI strategy, the Faculty of Computer Science at Chemnitz University of Technology plans to establish the focus group "ailab" with a strong emphasis on transforming the economy for a sustainable future. For this purpose, 7 permanent positions will initially be established, focusing on the further development of artificial intelligence methods and their applications. The main focus areas are: enhanced interaction, smart data and infrastructures as well as embodied ai. Applications should be submitted under the keyword "ailab" with the usual documents (cover letter, curriculum vitae, list of publications, description of teaching experience incl. supervision of theses) as well as a two-page description of previous and planned research activities (with reference to one of the three foucs areas of the ailab) by September 26, 2022, either electronically or by mail to dekanat at informatik.tu-chemnitz.de. All details at https://www.tu-chemnitz.de/verwaltung/personal/stellen/250100_2_EPu.php Prof. Dr. Florian R?hrbein Technische Universit?t Chemnitz Fakult?t f?r Informatik Professur Neurorobotik From jncor at dei.uc.pt Thu Sep 8 09:41:48 2022 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Thu, 8 Sep 2022 14:41:48 +0100 Subject: Connectionists: The 2nd CfP Evostar 2023 - The Leading European Event on Bio-Inspired Computation - 12-14 April 2023 Message-ID: Dear Colleague(s), Below you will find the second call for papers for EvoStar 2023. Feel free to distribute and thank you for your time. Best regards, Jo?o Correia EvoStar Publicity Chair ---------------------------------------------------------------------- Call for papers for the EvoStar 2023 conference http://www.evostar.org/2023/ Submission Deadline: November 1, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic News: ** EvoApps Special Sessions: EvoApplications, invites you to submit a special session proposal to be part of its 26th edition. Deadline: 9 September 2022 AoE. https://www.evostar.org/2023/evoapps/ ** EvoStar 2022 LBAs published You can find the late-breaking abstract at: https://arxiv.org/abs/2208.00555 Please distribute (Apologies for cross-posting) ------------------------------------------------ EvoStar comprises four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years. EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with the inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange. The four conferences include: - EuroGP 26th European Conference on Genetic Programming http://www.evostar.org/2023/eurogp/ - EvoApplications 26th European Conference on the Applications of Evolutionary and bio-inspired Computation http://www.evostar.org/2023/evoapps/ - EvoCOP 23rd European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2023/evocop/ - EvoMUSART 12th International Conference (and 17th European event) on Artificial Intelligence in Music, Sound, Art and Design. http://www.evostar.org/2023/evomusart/ *** Important Dates, Venue and Publication *** Submission Deadline: November 1, 2022 Conference: 12 to 14 April 2023. Venue: Brno, Czech Republic All accepted papers will be printed in the proceedings published by Springer Nature in the Lecture Notes in Computer Science (LNCS) series. Please check the website for more information: http://www.evostar.org/2023/ And follow us at: Facebook - https://www.facebook.com/evostarconf/ Twitter - https://twitter.com/EvostarConf/ Instagram - https://www.instagram.com/evostarconference/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mjose.escobar at gmail.com Thu Sep 8 09:33:29 2022 From: mjose.escobar at gmail.com (Maria Jose Escobar) Date: Thu, 8 Sep 2022 09:33:29 -0400 Subject: Connectionists: LACONEU2023 - CALL FOR APPLICATIONS Message-ID: ----------------------------------------------------------------------- We have the pleasure to invite Graduate, advanced Undergraduate students and Postdoctoral to participate in: ----------------------------------------------------------------------- LACONEU 2023 VI Latin American Summer School in Computational Neuroscience Special Topic: Machine Learning and Artificial Intelligence January 9-20th, 2023 Valpara?so - CHILE http://www.laconeu.cl ----------------------------------------------------------------------- The principal aims of LACONEU 2023 Summer School are to disseminate and to develop Computational Neuroscience in Latin America, gathering researchers and students with common interests in the beautiful and historical city of Valparaiso, in Chile. The organization of LACONEU 2023 will have a focus towards Machine Learning and Artificial Intelligence: how ML and AI are helping to understand the function of the brain in health and disease, but also how the knowledge in neuroscience has helped the development of new innovative machine learning and artificial intelligence advancements. This version also includes a WORKSHOP on January 18th, 2023 on ?Ethics of Brain Studies?. CONFIRMED SPEAKERS: - Alessandro Treves, SISSA - Cognitive Neuroscience, Italy - Cristina Savin, NYU Arts & Science, USA - Enzo Taglizucchi, Universidad de Buenos Aires, Argentina - Salvador Dura-Bernal, SUNY Downstate Health Sciences University, USA - Bruno Cessac (to be confirmed), INRIA Sophia-Antipolis, France - Josephine Cruzat, BrainLat Institute, Universidad Adolfo Ib??ez, Chile - Pamela Guevara, Universidad de Concepci?n, Chile - Wael El-Deredy, Universidad de Valpara?so, Chile - Patricio Orio, CINV, Universidad de Valpara?so, Chile - Mar?a Jos? Escobar, AC3E, Universidad T?cnica Federico Santa Mar?a, Chile - Adri?n Palacios, CINV, Universidad de Valpara?so, Chile IMPORTANT DATES - Call for Applications: August 29th, 2022 - Application submission deadline: October 1st, 2022 - Acceptance notification: October 31st, 2022 TRAVEL GRANTS ARE AVAILABLE FOR INTERNATIONAL STUDENTS Looking forward to seeing you in January! SPONSOR INSTITUTIONS Universidad T?cnica Federico Santa Mar?a, Chile Universidad de Valpara?so, Chile Instituto de Sistemas Complejos de Valparaiso, Chile Centro Interdisciplinario de Neuroscience de Valparaiso, CINV, Chile Centro Avanzado de Ingenier?a El?ctrica y Electr?nica, AC3E, Chile -------------- next part -------------- An HTML attachment was scrubbed... URL: From georg.martius at tuebingen.mpg.de Thu Sep 8 10:37:22 2022 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Thu, 8 Sep 2022 16:37:22 +0200 Subject: Connectionists: Ph.D. Positions at Max Planck Research School for Intelligent Systems, Germany - apply until November 1st, 2022 Message-ID: <43a7955f-76f0-6eca-136a-5cf3a42f95c4@tuebingen.mpg.de> *Funded Ph.D. Positions* at the International Max Planck Research School for Intelligent Systems, in T?bingen and Stuttgart, Germany *Website: http://imprs.is.mpg.de* *Deadline: November 1, 2022* Details: The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and T?bingen collaborate to offer an interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). This doctoral program will accept its seventh generation of Ph.D. students in spring of 2023. This school is a key element of Baden-W?rttemberg?s Cyber Valley initiative to accelerate basic research and commercial development in artificial intelligence and robotics. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as: ? Biomedical Technology ? Computational Cognitive Science ? Computer Vision and Graphics ? Control Systems and Optimization ? Data Science ? Haptics and Human-Computer Interaction ? Machine Learning ? Micro- and Nano-Robotics ? Neuroscience ? Perceptual Inference ? Robotics and Human-Robot Interaction ? Soft Robotics and Materials The participating faculty are Aamir Ahmad, Zeynep Akata, Frank Allg?wer, Alexander Badri-Spr?witz, Robert Bamler, Christian F. Baumgartner, Philipp Berens, Matthias Bethge, Michael J. Black, Wieland Brendel, Andr?s Bruhn, Andreas Bulling, Paul-Christian B?rkner, Martin Butz, Manfred Claassen, Caterina De Bacco, Benedikt V. Ehinger, Peer Fischer, Andreas Geiger, Martin A. Giese, Moritz Hardt, Daniel H?ufle, Matthias Hein, Philipp Hennig, Wenqi Hu, Christoph Keplinger, Katherine J. Kuchenbecker, Hyosang Lee, Hendrik Lensch, Falk Lieder, Nicole Ludwig, Jakob Macke, Setareh Maghsudi, Georg Martius, Michael M?hlebach, Mathias Niepert, Nico Pfeifer, Seong Joon Oh, Gerard Pons-Moll, Michael Pradel, Tian Qiu, C. David Remy, Samira Samadi, Syn Schmitt, Bernhard Sch?lkopf, Gabriele Schweikert, Michael Sedlmair, Fabian Sinz, Metin Sitti, Steffen Staab, Ingo Steinwart, J?rg St?ckler, Justus Thies, Benjamin Unger, Alexander Verl, Ulrike von Luxburg, Felix Wichmann, Bob Williamson, Andreas Wortmann, Thomas Wortmann, and Charley M. Wu. Associated faculty include R. Harald Baayen, Franz Baumdicker, Peter Dayan, Jonathan Fiene, Bedartha Goswami, Ksenia Keplinger, Miriam Klopotek, Anna Levina, Kay Nieselt, Peter Ochs, Peter Pott, Gunther Richter, and Maria Wirzberger. Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. We seek doctoral students who are curious, creative, and passionate about research to join our school and help advance human knowledge about intelligent systems. ? Admitted Ph.D. students can join our program starting in spring of 2023. ? You will be mentored by our internationally renowned faculty. ? You will conduct your research in either Stuttgart or T?bingen, Germany. ? IMPRS-IS offers a wide variety of scientific seminars, workshops, and social activities. ? All aspects of our program are in English. ? Your doctoral degree will be conferred when you successfully complete your Ph.D. project. ? Our dedicated staff members will assist you throughout your time as a doctoral student. People with a strong academic background and a master?s degree (conferred or expected soon) in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply. We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply. We are an equal opportunity employer and value diversity at our institutions. Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities. You can apply at https://imprs.is.mpg.de/application before 11:59 p.m. (23:59) CET on November 1, 2022. Finalists will be invited to selection interviews that will take place online from January 17 to January 20, 2023. From fabio.bellavia at unifi.it Thu Sep 8 10:24:17 2022 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Thu, 8 Sep 2022 16:24:17 +0200 Subject: Connectionists: CFP - IET Image Processing special issue on "Advancements in Fine Art Pattern Extraction and Recognition" [deadline 28 November 2022] Message-ID: <5446f804-9e93-a241-0f0d-2a8ea2ef8503@unifi.it> apologies for multiple posting, please distribute among interested parties _________________ *Call for Papers* _______ *Special Issue of IET Image Processing on* __________ *ADVANCEMENTS in FINE ART PATTERN EXTRACTION and RECOGNITION* ___________ Aim & Scope Cultural heritage, especially fine arts, plays an invaluable role in the cultural, historical and economic growth of our societies. Fine arts are primarily developed for aesthetic purposes and are mainly expressed through painting, sculpture and architecture. In recent years, thanks to technological improvements and drastic cost reductions, a large-scale digitization effort has been made, which has led to an increasing availability of large digitized fine art collections. This availability, coupled with recent advances in pattern recognition and computer vision, has disclosed new opportunities, especially for researchers in these fields, to assist the art community with automatic tools to further analyze and understand fine arts. Among other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. This special issue aims to offer the opportunity to present advancements in the state-of-the-art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for a better understanding and fruition of fine arts, soliciting contributions from pattern recognition, computer vision, artificial intelligence and image processing research areas. The special issue will be linked to the 2nd International Workshop on Fine Art Pattern Extraction and Recognition (FAPER2022). Authors of selected conference papers will be invited to extend and improve their contributions for this special issue, and authors are also invited to submit new contributions (non-conference papers). _______________________________________ Topics include, but are not limited to: - Applications of machine learning and deep learning to cultural heritage and digital humanities - Computer vision and multimedia data processing for fine arts - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Point cloud segmentation and classification for cultural heritage - Historical document analysis - Content-based retrieval in visual art domain - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Project, products or prototypes for cultural heritage _______________________________________ *Submission Deadline*: 28 November 2022 Submissions must be made through ScholarOne: https://mc.manuscriptcentral.com/theiet-ipr see the PDF call for paper for more information: https://ietresearch.onlinelibrary.wiley.com/pb-assets/assets/17519667/Special%20Issues/IPR%20SI%20CFP_AFAPER-1651107571727.pdf ___________ Open Access From January 2021, The IET began an Open Access publishing partnership with Wiley. As a result, all submissions that are accepted for this Special Issue will be published under the Gold Open Access Model and subject to the Article Processing Charge (APC) of $2,300. APC can be covered in *FULL* or part by your institution! *CHECK? YOUR? ELIGIBILITY? HERE* https://authorservices.wiley.com/author-resources/Journal-Authors/open-access/affiliation-policies-payments/institutional-funder-payments.html _______________ Editor-in-Chief Prof. Farzin Deravi, University of Kent, UK _____________ Guest Editors Giovanna Castellano, Universita' di Bari, Italy Gennaro Vessio, Universita' di Bari, Italy Fabio Bellavia, Universita' di Palermo, Italy Sinem Aslan, Universit? Ca' Forscari Venezia, Italy From er.anubajaj at gmail.com Thu Sep 8 14:29:35 2022 From: er.anubajaj at gmail.com (Anu Bajaj) Date: Thu, 8 Sep 2022 23:59:35 +0530 Subject: Connectionists: CFP: Joint International Conferences - Last few weeks to submit - Published by Springer Message-ID: Dear Professor/Researcher, Greetings from the Machine Intelligence Research Labs (MIR Labs), USA! Hope you are doing well and stay safe. We are glad to inform you that the Machine Intelligence Research Labs (MIR Labs), USA is organizing the* International Joint Conferences *in *online *mode from *12th to 17th December 2022*. The proceedings of the conference will be published in the *Lecture Notes in Network Systems (LNNS)* series of *Springer* [*SCOPUS* Indexed]. You are cordially invited to submit high-quality research papers. A detailed call for papers is given below. We are looking forward to receiving your research papers and seeing you online during International Joint Conferences 2022. We hope you will be able to participate. Thank you! ** *International Joint Conferences Online - Published by Springer LNNS Series *** ** *ISDA 2022 ? HIS 2022 ? SoCPaR 2022 ? IBICA 2022 ? IAS 2022 ? NaBiC 2022 ? WICT 2022* ** *Publisher*: Springer Verlag, LNNS Series *Indexed by*: SCOPUS, DBLP, INSPEC, SCImago etc. ** *Important Dates*** Paper submission due: September 30, 2022 Notification of paper acceptance: October 31, 2022 Registration and Final manuscript due: November 15, 2022 Conferences: December 12-17, 2022 *--22nd International Conference on Intelligent Systems Design and Applications (ISDA?22)--* http://www.mirlabs.net/isda22 Proceedings of ISDA?21: https://link.springer.com/book/10.1007/978-3-030-96308-8 Submission link: https://easychair.org/conferences/?conf=isda2022 *--22nd International Conference on Hybrid Intelligent Systems (HIS'22)-- * http://www.mirlabs.net/his22 Proceedings of HIS'21: https://link.springer.com/book/10.1007/978-3-030-96305-7 Submission link: https://easychair.org/conferences/?conf=his20220 *--18th International Conference on Information Assurance and Security (IAS 2022)--* http://www.mirlabs.org/ias22 Proceedings of IAS'21: https://link.springer.com/book/10.1007/978-3-030-96305-7 Submission link: https://easychair.org/conferences/?conf=ias20220 *--14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022)--* http://www.mirlabs.org/socpar22 Proceedings of SoCPaR'21: https://link.springer.com/book/10.1007/978-3-030-96302-6 Submission link: https://easychair.org/conferences/?conf=socpar2022 *--14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022) --* http://www.mirlabs.net/nabic22 Proceedings of NaBIC'21: https://link.springer.com/book/10.1007/978-3-030-96302-6 Submission link: https://easychair.org/conferences/?conf=nabic2022 *--13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA'22) --* http://www.mirlabs.net/ibica22 Proceedings of IBICA'21: https://link.springer.com/book/10.1007/978-3-030-96299-9 Submission link: https://easychair.org/conferences/?conf=ibica2022 *--12th World Congress on Information and Communication Technologies (WICT'22) --* http://www.mirlabs.org/wict22 Proceedings of WICT'21: https://link.springer.com/book/10.1007/978-3-030-96299-9 Submission link: https://easychair.org/conferences/?conf=wict2022 ** *Plenary Talks *** You are welcome to attend 12 Keynote Talks offered by world-renowned professors and industry leaders. The detailed information is available on conference websites. Speaker 1: Catarina Silva, University of Coimbra, Portugal Speaker 2: Chuan-Kang Ting, National Tsing Hua University, Taiwan Speaker 3: Joanna Kolodziej, Cracow University of Technology, Poland Speaker 4: Kaisa Miettinen, University of Jyvaskyla, Finland Speaker 5: Kaspar Riesen, University of Bern, Switzerland Speaker 6: Katherine Malan, University of South Africa, South Africa Speaker 7: Maki Sakamoto, The University of Electro-Communications, Japan Speaker 8: M?rio Antunes, Polytechnic Institute of Leiria, Portugal Speaker 9: Patricia Melin, Tijuana Institute of Technology, Mexico Speaker 10: Ren? Natowicz, ESIEE-Paris - Universit? Gustave Eiffel, France Speaker 11: Yifei Pu, Sichuan University, China Speaker 12: Patrik Christen, FHNW, Institute for Information Systems, Switzerland ** *About the International events *** Provides an international forum to share the latest research results, ideas and experiences in intelligent systems design and applications; soft computing; information assurance and security; nature-inspired computing, pattern recognition; and information and communication technologies by bringing together the leading communities in this research space. These events are built on a solid history, through ISDA to WICT, connecting young researchers with highly experienced peers to forge connections, which can last for many years. The topics covered (but are not limited to) in the conference are as follows: - Intelligent Systems Design and Applications - Hybrid Intelligent Systems - Soft Computing and Pattern Recognition - Information and Assurance Security - Nature and Biologically Inspired Computing - Innovations in Bio-Inspired Computing and Applications - Innovations in Information and Communication Technologies - Video, Image, Speech & Text Processing - Internet of Things - Human Computer Interaction - Fuzzy Systems - Natural Language Processing - Cloud, Edge and Fog Computing - Wireless Networks - Cyber Security - Social Networking - Robotics - Computer Vision - Digital Learning - Data Mining *** Submission Guidelines *** Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. *Paper Format Template:* *https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324 * *** Registration Fees* ** Indian Author: 6000 INR Foreign Author: 150 USD *Please visit respective conference websites for more details.* *** Call for Special Sessions *** If you would like to propose a special session, please email Dr. Gabriella Casalino *** Technical Contact *** Dr. Ajith Abraham Email: ajith.abraham at ieee.org You are requested to share this call for paper with your esteemed research circle and scholars. Thank you very much for your kind support. *With Best Regards,* Publicity Team MIR Labs International Joint Conferences-2022 Machine Intelligence Research Labs (MIR Labs), USA Note: We sincerely hope that this conference announcement is interesting for you. If you are not interested or wish to unsubscribe then please reply to this email and we will remove your name from our future emails. Our apologies for any inconvenience. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pokornam at cs.cas.cz Fri Sep 9 04:18:22 2022 From: pokornam at cs.cas.cz (Magda Pokorna) Date: Fri, 9 Sep 2022 10:18:22 +0200 Subject: Connectionists: Postdoc / Junior Scientist / Research fellow positions in Complex Networks, Prague, Czech Republic Message-ID: The following positions are open in the department of Complex Systems at the Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic. Applications for all 4 positions will be reviewed on a rolling basis*with a first cut-off point on *30. **9**. 2022.** 1. *Postdoctoral/Research Fellow position in complex network analysis: Critical events detection, Prague, Czech Republic* Postdoctoral or Research Fellow position is available to join the _Complex Networks and Brain Dynamics group _for the project: */?Modelling and analysis of complex systems for safety of critical infrastructures?/*as part of the National Center of Competence ? Cybernetics and Artificial Intelligence funded by the Technology Agency of the Czech Republic, and related projects.The project involves developing, implementing, optimizing and applying techniques for detection and prediction of critical events and regime transitions and their propagation in complex networks, with applications in societally important real-world systems such as social and communication networks, computer networks and large-scale industrial systems.*For more information, conditions and application* see https://www.cs.cas.cz/job-offer/NCK-postdoc-positions-Hlinka1/en. 2. *Postdoctoral / Junior Scientist position in Complex Networks and Information Theory, Prague, Czech Republic* A Postdoc or Junior Scientistposition is available to join the _Complex Networks and Brain Dynamics group _for the project: /*?Network modelling of complex systems: from correlation graphs to information hypergraphs?*/**funded by the Czech Science Foundation.The project involves developing, optimizing and applying techniques for modelling complex dynamical systems beyond the currently available methods of complex network analysis and game theory. The project is carried out in collaboration with the Artificial Intelligence Center of the Czech Technical University. *For more information, conditions and application* see https://www.cs.cas.cz/job-offer/postdoc-junior-position-Hlinka5-2021/en. 3. *Postdoctoral / Junior Scientist position in Multimodal Neuroimaging Machine Learning, Prague, Czech Republic* A Postdoc or Junior Scientistposition is available to join the _Complex Networks and Brain Dynamics group _for the project: /*?Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data?*/funded by the Czech Health Research Council.The project involves the development of tools to predict the functional outcome of schizophrenia from multimodal neuroimaging, clinical and cognitive measurements taken early after disease onset. To overcome limitations due to high dimensionality of data, we combine robust machine-learning tools, data-driven feature selection and theory-based brain network priors. The project is carried out in collaboration with the National Institute of Mental Health, using its unique large rich imaging, cognitive and biochemical data of early stage schizophrenia patients. *For more information, conditions and application* see https://www.cs.cas.cz/job-offer/postdoctoral-junior-scientist-position-Hlinka2-2022/en. 4. *Researc**h Fellow / Postdoc positions in Complex Networks and Brain Dynamics, Prague, Czech Republic* We are looking for new team members to join the _Complex Networks and Brain Dynamics group _to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic, _https://www.cs.cas.cz/ _.We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. *More information about the group at *_*http://cobra.cs.cas.cz/* _*. **For more information, conditions and application* see https://www.cs.cas.cz/job-offer/research-fellow-postdoc-position-Hlinka1-2022/en. *Do not hesitate to contact the **group leader**/ Principal Investigator for informal inquiries: Ing. Mgr. Jaroslav Hlinka, Ph.D. *_*hlinka[at]cs.cas.cz* _*, *_*http://www.cs.cas.cz/hlinka/*_ -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Sat Sep 10 11:05:50 2022 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Sat, 10 Sep 2022 17:05:50 +0200 Subject: Connectionists: Professor position in Data Science at the University of Neuchatel, Switzerland Message-ID: A full professor or tenure-track assistant professor in data science is available at the university of Neuch?tel. We are looking for candidates with an internationally visible research profile in data science, including, but not limited to, databases, information systems, data mining, natural language processing' For applications as assistant professor, you are typically expected to obtain tenure after 4 years. The institute of informatics at the university of Neuch?tel is within the faculty of science. The research at the instituIt promotes an interdisciplinary research and teaching environment with the institutes of mathematics, statistics, biology and psychology and education, as well as the faculty of law and the faculty of economics and business. Teaching obligations are 7 hours per week. The successful candidate will have the opportunity to teach in the joint computer science masters program with the universities of Bern, Neuch?tel and Fribourg. At the Bachelor level, they are expected to teach courses in the newly established Bachelor program in Data Science. For Masters courses, the language of instruction is English. Bachelor courses should be taught in French, hence there is a requirement for proficiency in the language after the first year. Neuch?tel is a french-speaking canton, at the north border of Switzerland with France. It enjoys views over the homonymous lake < https://www.neuchatelville.ch/sortir-et-decouvrir/le-lac-de-neuchatel >, where sailing and swimming are popular in the summer. The region offers many hiking and climbing opportunities, while the hills above the university have a large cross-country skiing network during the winter < https://www.j3l.ch/en/P56083/nordic-centre-pouillerel >. The main Alpine ranges, as well as the cities of Bern, Lausanne, Geneve and Zurich can be reached in 45-90' by train. Remuneration is competitive, according to the cantonal standards: https://www.unine.ch/srh/professeur-e-s-categorie-a Application Deadline: 1 October 2022. Application Procedure: Applications should be uploaded at https://www.unine.ch/candis (ref. FS-Data) in the form of a single PDF file, including a letter of motivation, a CV documenting full teaching and research experience, a list of publications, copies of diplomas and a list of experts able to assess the candidate?s competence (with at least three names). The candidate is also invited to present a statement (3 pages max.) of teaching and research interests, his/her scientific approach to the domain, and projects that he/she intends to undertake at Neuch?tel. Further information can be obtained by contacting the Head of the Hiring Committee Prof. Pascal Felber (pascal.felber at unine.ch), or Prof. Christos Dimitrakakis (christos.dimitrakakis at unine.ch) -- Christos Dimitrakakis https://sites.google.com/site/christosdimitrakakis -------------- next part -------------- An HTML attachment was scrubbed... URL: From franrruiz87 at gmail.com Fri Sep 9 11:48:59 2022 From: franrruiz87 at gmail.com (=?UTF-8?Q?Francisco_J=2E_Rodr=C3=ADguez_Ruiz?=) Date: Fri, 9 Sep 2022 16:48:59 +0100 Subject: Connectionists: ICBINB Monthly Seminar Series Talk: Javier Gonzalez Message-ID: Dear all, We are pleased to announce that the next speaker of the *?I Can?t Believe It?s Not Better!? (**ICBINB)* virtual seminar series will be *Javier Gonzalez** (**Microsoft Research**)*. More details about this series and the talk are below. The *"I Can't Believe It's Not Better!" (ICBINB) monthly online seminar series* seeks to shine a light on the "stuck" phase of research. Speakers will tell us about their most beautiful ideas that didn't "work", about when theory didn't match practice, or perhaps just when the going got tough. These talks will let us peek inside the file drawer of unexpected results and peer behind the curtain to see the real story of *how real researchers did real research*. *When: *September 15th, 2022 at 7am PDT / 10am EDT / 4pm CEST *Where: *RSVP for the Zoom link here: https://us02web.zoom.us/meeting/register/tZItf-ihqTsrH9AkDiT8GrvQXgZ1C9oSUV_D *Title:* *I can?t believe my machine learning system is not better* *Abstract:** Deploying and maintaining machine learning models in real-world scenarios is hard. But why? In this talk I will talk about several real anecdotes in which a good model (or what it was supposed to be a good model) failed to have an impact in the real-world. We will explore the bitter lesson that having a good machine learning model does not necessarily imply having a good machine learning system. We will visit examples that cover the design of microfluidic chips to study aging in yeast cells, the use of electronic health records to predict the effects of medical interventions and the design of large decision making systems with many interconnected nodes. Although every application is different, I will share the lessons learned in these areas that I hope will be useful for the audience of the talk when addressing real-word questions in the future.* *Bio:* *Javier Gonz?lez is a Principal Researcher in the Biological NLP/Real World Evidence group at Health Futures , Microsoft. Javier works in machine methods for healthcare with special focus on uncertainty quantification and causal inference for precision medicine. Before joining Microsoft, Javier was leading a team in Amazon that developed and deployed machine learning methods for Prime Air, Alexa and the Amazon's supply chain. Before that, he was a researcher associate at the machine learning group of the University of Sheffield where he worked on Bayesian optimization methods to scale the production of drugs compounds using hamster cells. He was also the main developer of GPyOpt, a widely used library for Bayesian optimization in the community. Javier co-founded Inferentia Ltd. together with Andreas Damianou, Zhenwen Dai and Neil Lawrence, a machine learning start-up that was acquired by Amazon in 2016. Between 2011 and 2013, Javier was a postdoc at the University of Groningen where he worked on machine learning approaches to understand the dynamics of biological systems, in particular the causes of aging in yeast. Javier got his PhD in 2010 at Carlos III university of Madrid.* For more information and for ways to get involved, please visit us at http://icbinb.cc/, Tweet to us @ICBINBWorkhop , or email us at cant.believe.it.is.not.better at gmail.com. -- Best wishes, The ICBINB Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Sep 10 06:58:36 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 10 Sep 2022 12:58:36 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Autumn: early registration September 14 Message-ID: <1387907725.732342.1662807516988@webmail.strato.com> ****************************************************************** 7th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Autumn Lule?, Sweden October 17-21, 2022 https://irdta.eu/deeplearn/2022au/ ***************** Co-organized by: Lule? University of Technology EISLAB Machine Learning Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: September 14, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Autumn 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 and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 21 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Autumn 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 2022 Autumn will take place in Lule?, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be: Lule? University of Technology https://www.ltu.se/?l=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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities Elaine O. Nsoesie (Boston University), AI and Health Equity PROFESSORS AND COURSES: Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis [virtual] Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics Nadya Chernyavskaya (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics S?bastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data Efstratios Gavves (University of Amsterdam), [advanced] Advanced Deep Learning Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning [virtual] Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding Timothy Hospedales (University of Edinburgh), [intermediate/advanced] Deep Meta-Learning Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition Peter Richt?rik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by October 9, 2022. 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 October 9, 2022. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. ORGANIZING COMMITTEE: Nosheen Abid (Lule?) Sana Sabah Al-Azzawi (Lule?) Lama Alkhaled (Lule?) Prakash Chandra Chhipa (Lule?) Saleha Javed (Lule?) Marcus Liwicki (Lule?, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Hamam Mokayed (Lule?) Sara Morales (Brussels) Mia Oldenburg (Lule?) Maryam Pahlavan (Lule?) David Silva (London, organization chair) Richa Upadhyay (Lule?) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022au/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participants are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2022au/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Lule? University of Technology, EISLAB Machine Learning Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From cfp at okipublishing.com Sat Sep 10 13:03:47 2022 From: cfp at okipublishing.com (cfp at okipublishing.com) Date: Sat, 10 Sep 2022 17:03:47 +0000 Subject: Connectionists: Call for (Edited) Book Proposals on Automated and Intelligent Systems -Publication in 2023/2024 Message-ID: Call for Book Proposals in all areas of Automated and Intelligent Systems https://www.okipublishing.com/okip/publish-with-us/book/computing/intelligent-systems.html Oklahoma International Publishing (OKIP), USA, accepts manuscript (edited books, monographs, encyclopedias, handbooks, textbooks, thesis...) proposals with advanced and innovative topics related, but not limited, to areas and fields below. All book contents are peer-reviewed before expedited publication by OkIP in the Chronicle of Computing series and registration, abstraction, and fast submission for potential indexation (Crossref?, Scopus?, Web of Science?). Publication and Copyright: 2023/2024 >> AI, Machine Learning (ML), and Applications - General ML | Active/Supervised Learning - Clustering/Unsupervised Learning - Online Learning | Learning to rank - Reinforcement Learning | Deep Learning(DL) - Semi/Self-Supervised Learning - Time Series Analysis | Prediction/Forecasting - DL Architectures/Generative-Models - Deep Reinforcement Learning - Computational Learning Theory - Bandit/Game/Statistical-Learning Theory - Optimization Methods and Techniques - Convex/Non-Convex Optimization - Matrix/Tensor Methods - Stochastic/Online Optimizations - Non-Smooth/Composite Optimization - Probabilistic Inference | Graphical Models - Bayesian/Monte-Carlo Methods - Trustworthy Machine Learning - ML Accountability/Causality - ML Fairness/Privacy/Robustness - Healthcare/DNA/Transportation - Digital Economy | Ecommerce Security - Sustainability | Energy | Green Technology - Language | Image - Recommendation Systems >> Agent-based, Automated, and Distributed Supports - Multi-Agent Systems | Software Agents - Decentralized/Distributed Intelligence - Context-Aware Computing - Group Decision Support Systems - Intelligent Structures/Networks - Design/Automation Approaches - Sensor Networks Architectures - Complex Manufacturing Processes - Analytical Models | Path Planning - Multistage Assembly Line - Automated Inspection >> Intelligent Systems and Applications - Medical Nanorobotics | - Sensory/Embedded Systems - Embedded Systems | Digital Manufacturing - Optimization/Evolutionary Algorithms - Bioinformatics/Biotechnology Applications - Computer-Vision Applications - Sensor-Networks Applications - Intelligent Design | Fuzzy Systems - Soft/Ubiquitous Computing - Pervasive/Wearable Computing - Intelligence Manufacturing | Microsatellite - Cyber-physical Systems | Kinematics >> Knowledge-based and Control Supports - Expert/Complex Systems - Decision-Support Systems - Intelligent Control/Supervision Systems - Knowledge Engineering - Neural Networks | Structural Optimization - Intelligent Teleoperation - Intelligent Shopfloor - Collision Avoidance | Fault Diagnosis - Object Detection and Tracking | Path Planning - Position/Quality/Motion Control - Predictive Control - Preventive Maintenance | Defect Detection >> Robotics and Vehicles - Unmanned Vehicles/Robots - Autonomous Vehicles/Robots - Human-Robot Interfaces - Human-Robot Interactions - Intelligent Telerobotics | Service Robots - Robotic Manipulators/Arms - Robotic Applications - Self-Driving Vehicles | Cloud-based Driving - Vehicular ad hoc Networks |Traffic Detection - Vehicle-to-Vehicle Communication - Vehicle Platooning | Steering Systems - Vehicle dynamics | Traffic Computing >> Proposals Submission/Notification Due Date - Submission October 15, 2022 -> Notification November 1, 2022 - Submission November 15, 2022 -> Notification December 1, 2022 - Submission December 15, 2022 -> Notification January 1, 2023 - Submission January 15, 2023 -> Notification February 1, 2023 - Submission February 15, 2023 -> Notification March 1, 2023 - Submission March 15, 2023 -> Notification April 1, 2023 - Submission Month 15, 2023 -> Notification Next Month 1, 2023 >> Proposal Submission Link https://eventutor.com/event/30/abstracts/#submit-abstract >> Proposal Should Include: - Book type and three potential titles - Keywords (7-9) and publication type - Book format (length, # of chapters) - Author/editor information and CVs - Book timeline and marketing plan - Short abstract and table of contents - Target audience and competing titles - Tentative Table of Content (for monograph only) - Recommended Topics (40-100) (for non monograph) >> Publication Types (A or B) A) Open Access Books - Authors/Editors pay all processing charges - Copyright remains with the authors - Authors can share content everywhere - Contents are free to download B) Traditional Books - Publisher pays processing charge - Copyright transfers to the publisher - Contents are pay-to-download - Title/abstracts are shared everywhere >> Book Types - Monograph: Detailed study of a single subject written by expert authors - Edited book: Chapters with original research by different authors - Encyclopedia: Multi-volumes, short chapters, current issues, solutions, and future directions - Handbook: Long chapters from leading experts covering cutting-edge and trending concepts - Textbook: Texts designed to introduce new basics or advanced subjects >> Editorial Support - Full publishing support - Online hosting of published contents - Free use of Eventutor submission system - Discounts/incentives to Authors/Editors >> Contact Please feel free to contact the OkIP team for any inquiries at: info at okipublishing.com From kkuehnbe at uos.de Mon Sep 12 16:38:01 2022 From: kkuehnbe at uos.de (=?UTF-8?Q?Kai-Uwe_K=c3=bchnberger?=) Date: Mon, 12 Sep 2022 22:38:01 +0200 Subject: Connectionists: Research Position available at the Institute of Cognitive Science, Onsabrueck University Message-ID: The Artificial IntelligenceResearch Group (Prof. Dr. Kai-Uwe K?hnberger) of the? Institute of Cognitive Science of Osnabr?ck University invites applications for *1 Research Associate (m/f/d)****** ??? ??? ??? ??? ??? ??? ?? ?? ??? ?? ??? ??? (Salary level E 13 TV-L, 75%)*** to be filled as soon as possible for a period of initially three years. The position allows for further scientific qualification. *Description of Responsibilities:*** The position involves participation in the research activities of the ArtificialIntelligence Group with an emphasis on the areas of cognitively inspired approachesto knowledge representation, machine learning, computational creativity, e-learning,and cognitive architectures. The position includes teaching Cognitive Science courses at B.Sc. and M.Sc. level (3 hours/week). *Required Qualifications:*** - Applicants are expected to have an excellent academic degree (Master/Diploma) and may also have a PhD degree, - experience and interest in several of the domains listed above, - basic knowledge in at least two of the following areas: formal logic andreasoning, development of algorithms, (deep) neural networks and machinelearning, probabilistic approaches to AI, - good programming skills and experience with libraries (e.g. Prolog, Scheme,Python, TensorFlow, Keras) are mandatory, - a good command of the English language is imperative. Osnabr?ck University as a family-friendly university is committed to helpingworking/studying parents and carers balance their family and work life. Osnabr?ck University seeks to guarantee equality of opportunity for women andmen and strives to correct any gender imbalance in its schools and departments. If two candidates are equally qualified, preference will be given to the candidate withdisability status. Applications with the usual documentation should be submitted by e-mail in a*single***PDF-file to the Director of the Intitute of Cognitive Science (office at ikw.uni-osnabrueck.de) no later than*September 30, 2022*. Further informationcan be obtained from Prof. Dr. Kai-Uwe K?hnberger (kkuehnbe at uni-osnabrueck.de). -------------- next part -------------- An HTML attachment was scrubbed... URL: From brainandmorelab at gmail.com Tue Sep 13 07:30:25 2022 From: brainandmorelab at gmail.com (Brain and More Lab) Date: Tue, 13 Sep 2022 13:30:25 +0200 Subject: Connectionists: Biomedical Semantic Data Integration and Management phd/postdoc Message-ID: The *Clinical Data Science in Sano is looking for both a PhD and PostDoc* *in *Biomedical Semantic Data Integration and Management. If interested please apply and find relevant information here Biomedical Semantic Data Integration and Management - Sano Centre for Computational Personalised Medicine The link is mainly for Postdoc but PhD students are also welcome (though timeframe and salary will differ). Best, *Ahmed Abdeen Hamed, Ph.D.* -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at snl.salk.edu Tue Sep 13 10:33:39 2022 From: terry at snl.salk.edu (Terry Sejnowski) Date: Tue, 13 Sep 2022 07:33:39 -0700 Subject: Connectionists: Misha Mahowald Prize - submission deadline In-Reply-To: <03b0d4b1-615a-73ea-676f-72dfffdaa3d8@iniforum.ch> References: <03b0d4b1-615a-73ea-676f-72dfffdaa3d8@iniforum.ch> Message-ID: <24116eb1-4e9b-d839-d8c1-3c66a36c535c@snl.salk.edu> CALL FOR SUBMISSIONS *The 2022 Misha Mahowald Prize for Neuromorphic Engineering*** *The 2022 Mahowald Early Career Award ** * The Misha Mahowald Prize recognizes outstanding research in neuromorphic engineering in a broad sense: neurally-inspired hardware, software, and algorithms; as well as other novel architectures. The Prize is awarded by a jury of international experts Chaired by Prof. Terrence Sejnowski, and carries a prize of USD $10,000. The Mahowald Early Career Awardrecognizes outstanding Master's students, PhD doctoral students, or postdocs within one year of PhD degree conferral date. ?The Award is for an individual (not a group) who has created innovative neuromorphic hardware, software, or an algorithm. ?The Award is decided by a jury of established mid-career scientists Chaired by Prof. Andre van Schaik, and carries a prize of USD $2,000 together with a guaranteed seat at either the Capo Caccia or the Telluride Workshops for Cognitive Neuromorphic Engineering. Misha Mahowald, for whom the Prize and Award are named, was a charismatic, talented and influential pioneer of neuromorphic engineering whose creative life unfortunately ended prematurely. She worked at the California Institute of Technology, Oxford University, and was a founding member of the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. Her novel designs of brain-inspired CMOS VLSI circuits for vision and computation have continued to influence a generation of engineers. The submission deadline for both the Prize and the Award is 23:59 UTC, 31 October 2022. For more information about the Prize and Award, see the home page: https://mahowaldprize.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: MahowaldPrizeReminder2022.pdf Type: application/pdf Size: 114682 bytes Desc: not available URL: From battleday at princeton.edu Wed Sep 14 00:02:55 2022 From: battleday at princeton.edu (Ruairidh McLennan Battleday) Date: Tue, 13 Sep 2022 21:02:55 -0700 Subject: Connectionists: General attendance open for Mathematics of Neuroscience Conference, Sept 24-25th 2022 Message-ID: Dear all, We now have a full schedule at this year's mathematics of neuroscience conference, in just under ten days (24-25th September, 2022), and have opened registration for virtual attendance: www.neuromonster.org We have tried to make the cost as low as possible, in the hope that everyone that wants to can come. It's a great line up, and we hope to see you there! All the best, Dr Ruairidh M. Battleday and Professor Dan V. Nicolau Jr -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Wed Sep 14 06:19:31 2022 From: jonizhong at msn.com (Joni Zhong) Date: Wed, 14 Sep 2022 10:19:31 +0000 Subject: Connectionists: [JOBS] Research Assistant (x2) - Assistive Robotics, HRI and BCI in The Hong Kong Polytechnic University Message-ID: The Hong Kong Polytechnic University (PolyU) is looking for two candidates for Research Assistants in the Department of Rehabilitation Sciences (RS). RS has been playing a leading role in rehabilitation research in Hong Kong, China and the APC region. According to EduRank's ranking, PolyU gets No. 1 for the first time in China and Asia in medical-related specialities, namely Occupational Therapy and Physical Therapy. PolyU?s world rank in these two specialities is 59 and 84 respectively. Assistive Technologies and Assistive Robotics are two core strategy directions of the department. The Research Assistants will be responsible for working on two Assistive Robotic projects. They will work closely with the Principal Investigator (Dr Joni Zhong) and the co-PIs on developing BCI and/or sEMG-controlled robots and machine learning-based robotic applications. Experiments with patients will be expected to solve real-world problems. Further pursuit of postgraduate studies (MPhil or PhD) is possible. Job responsibilities would include the development of a robotic platform (using NAO, Pepper and UR), writing technical reports and papers, and patents. Qualifications The potential candidate should possess experience or interest in the following areas: At least a bachelor?s degree in computer science or a related engineering field with a focus on robotic/machine learning; Experience in areas such as robotics, HRI, BCI and/or machine learning is preferred; Excellent communication skills (written and verbal) in English. A highly competitive remuneration package will be offered. Applicants are invited to contact Dr Joni Zhong at tel no. (852) 2766 6764 or email your CV to joni.zhong at polyu.edu.hk for further information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.a.valdenegro.toro at rug.nl Wed Sep 14 06:53:11 2022 From: m.a.valdenegro.toro at rug.nl (Matias Valdenegro Toro) Date: Wed, 14 Sep 2022 12:53:11 +0200 Subject: Connectionists: Four Tenure-Track Assistant Professors with Education Profile at Dept of AI, University of Groningen Message-ID: <8393301.gsGJI6kyIV@vsd-grey-wolf> Dear Colleagues, The Department of Artificial Intelligence, University of Groningen, The Netherlands, is hiring four Tenure Track Assistant Professors with Education Profile. These positions entail 60% of your time on education (including teaching courses and supervision of Bachelor and Master thesis in our AI programs), 30% on research, and 10% on organizational service. After five years you will be assessed for tenure (a permanent position) and promotion to Associate Professor. The initial contract is for seven years. The topics we are looking for these professorships are: - 1x Robotics - 1x Hybrid Intelligence - 1x Reinforcement Learning - 1x Natural Language Processing These positions will be embedded in the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The Bernoulli Institute has expertise in Cognitive Engineering, Visualization, Cognitive Modeling, Multi-agent systems and Machine Learning. These provide the local context for the position. In addition, there are strong collaborations with the University Medical Center Groningen. Furthermore, the Bernoulli Institute will participate in the new Jantina Tammes school for Digital Society, Technology and Artificial Intelligence. Teaching and campus life are all in the English Language. The University of Groningen is among the top 100 universities worldwide according to the most important rankings ( https://www.rug.nl/about-ug/profile/facts-and-figures/position-international-rankings ) and we can happily and emphatically underline that the working conditions and the community spirit at this university are totally inviting. Groningen is a beautiful city that fulfils every expectation how a dutch city should look like, all with many canals, large sailboats anchoring in the city center, medieval buildings, high quality public transportation and railway links and most charming sidestreets. The conditions of employment are governed by the Collective Labor Agreement of Dutch Universities available at https://www.universiteitenvannederland.nl/en_GB/cao-universiteiten.html . These positions are at Scale 11 depending on your qualifications and work experience. There are holiday allowance and end-of-year bonus of respectively 8% and 8.3% of your yearly salary, meaning in practice roughly 14 monthly salaries are paid each year. The application deadline is September 29. All the relevant information and application is available at https://www.rug.nl/about-ug/work-with-us/job-opportunities/? details=00347-02S0009H2P&cat=wp We look forward to your application, if you have any question, please contact us. -- Dr. M.A (Matias) Valdenegro Toro Assistant Professor for Machine Learning Department of Artificial Intelligence Bernoulli Institute, Faculty of Science and Engineering University of Groningen -------------- next part -------------- An HTML attachment was scrubbed... URL: From shaileesjain at gmail.com Wed Sep 14 22:48:03 2022 From: shaileesjain at gmail.com (Shailee Jain) Date: Wed, 14 Sep 2022 21:48:03 -0500 Subject: Connectionists: [Updated Deadline] CFP for MemARI Workshop @ NeurIPS'22 Message-ID: *[UPDATED DEADLINE: Mon *September 26, 2022 23:59 AOE] Hello! We invite submissions to the NeurIPS 2022 workshop on Memory in Artificial and Real Intelligence (MemARI). One of the key challenges for AI systems is to understand, predict, and model data over time. Pretrained networks should be able to temporally generalize, or adapt to shifts in data distributions that occur over time. Our current state-of-the-art (SOTA) still struggles to model and understand data over long temporal durations ? for example, SOTA models are limited to processing several seconds of video, and powerful transformer models are still fundamentally limited by their attention spans. By contrast, humans and other biological systems are able to flexibly store and update information in memory to comprehend and manipulate streams of input. How should memory mechanisms be designed in deep learning, and what can this field learn from biological memory systems? MemARI aims to facilitate progress on these topics by bringing together researchers from machine learning, neuroscience, reinforcement learning, computer vision, natural language processing and other adjacent fields. We invite submissions presenting new and original research on topics including but not limited to the following: 1. Computational models of biological memory 2. Role of different biological memory systems in cognitive tasks, with implications for AI algorithms/architectures 3. Biologically-inspired architectures to improve memory/temporal generalization 4. New approaches to improving memory in artificial systems 5. Domain-specific uses of memory mechanisms (for ex., for lifelong learning, NLP, RL etc.) 6. Empirical and theoretical analyses of limitations in current artificial systems 7. Datasets and tasks to evaluate memory mechanisms of artificial networks Important dates: - Paper submission deadline: Mon September 26, 2022 23:59 [Anywhere on Earth] - Decision Notification: Fri October 14th, 2022 [17:00 hrs PT] - Workshop date: Dec 2, 2022 in-person @ New Orleans Submission instructions: - Submission Portal: MemARI OpenReview (currently accepting submissions) - All submissions must be in PDF format. - Submissions are limited to four content pages, including all figures and tables; additional pages containing only references are allowed. - Please use the NeurIPS 2022 LaTeX style file . Style or page limit violations (e.g., by decreasing margins or font sizes) may lead to automatic rejection - All submissions should be anonymous. - Per NeurIPS guidelines, previously published work is not acceptable for submission. Reviewing process & Acceptance: - The review process is double-blind. - Accepted papers will be presented during a poster session, with spotlight oral presentations for exceptional submissions. (with accommodation for virtual attendees) - Accepted papers will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. Please direct questions and all future correspondence to memari-workshop at googlegroups.com. More information on the workshop can be found on the MemARI website . Organizers: Uri Hasson, Princeton University Ken Norman, Princeton University Alex Huth, UT Austin Mariya Toneva, MPI for Software Systems Shailee Jain, UT Austin Javier Turek, Intel Labs Vy Vo, Intel Labs Mihai Capot?, Intel Labs -------------- next part -------------- An HTML attachment was scrubbed... URL: From arturodeza at gmail.com Wed Sep 14 18:45:16 2022 From: arturodeza at gmail.com (Arturo Deza) Date: Wed, 14 Sep 2022 18:45:16 -0400 Subject: Connectionists: SVRHM 2022 Call for Papers and Submission Link Updated Message-ID: Dear Vision Community, I'm re-sending this Call for Papers Invitation (see details below), as it seems like the initial submission link for papers on OpenReview was locked, and it should now allow for submissions. The deadline is currently September 22nd, 2022, and SVRHM 2022 will happen on December 2nd 2022 during the NeurIPS main conference in New Orleans, Lousiana. Please feel free to enter a submission, and continually update it until the deadline. www.svrhm.com Arturo ---- Dear General Vision Sciences & Engineering communities, The goal of the *Fourth Workshop on Shared Visual Representations in Human and Machine Intelligence (SVRHM) at NeurIPS 2022 *is to discuss and disseminate relevant findings and parallels between the computational neuro/cognitive science and machine learning/artificial intelligence communities. In the past few years, machine learning tools ? especially deep neural networks ? have permeated the vision/cognitive/neuroscience communities to become the leading computational models that describe many cognitive tasks. Huge strides are also being made in the machine learning/artificial intelligence community with biologically inspired algorithms providing large efficiency gains in both computational and learning capabilities. However, many mysteries remain with regards to the alignment of human and machine perception, and there are cases where we see divergent rather than convergent representations. To resolve such questions, this workshop aims to bring fruitful discussions between scientists and engineers with multi-disciplinary backgrounds to review the recent progress in shared visual representations in both humans and machines, and in doing so identifying road-blocks and areas of interest to further accelerate the growth of both fields. The workshop will include a series of talks and panel discussions from a diverse group of speakers from both industry and academia who will share their research at the intersection of humans and machines that pushes the field of vision forward. The aim of our Call for Papers is to bring together scientists and engineers to *share their work in progress at the Poster Session* that are applicable to the scope of the Workshop. *This year in SVRHM, the 6 highest scoring papers will also be awarded an Oral Presentation entry in the program.* *The following areas provide a sense of suitable topics for 4 to 5 page paper submissions:* - Biological inspiration and inductive bias in vision - Human-relevant strategies for robustness and generalization - New datasets (e.g., for comparing humans/animals and machines) - Biologically-driven self-supervision - Perceptual invariance and metamerism - Biologically-informed strategies to mitigate adversarial vulnerability - Foveation, active perception, and attention models - Intuitive physics - Biologically inspired Generative Models - Perceptual and cognitive robustness - Nuances and noise in perceptual and cognitive systems - Creative problem-solving - Differences and similarities between humans and deep neural networks - Canonical computations in biological and artificial systems - Alternative architectures for deep neural networks - Reverse engineering of the human visual system via deep neural networks - *New:* Biologically-inspired Applications to Augmented and/or Virtual Reality - *New:* Understanding of novel hand-engineered models e.g. Transformers and Capsule Networks - *New:* Computational Aesthetics/Memorability/Humor/Virality We will be awarding a new NVIDIA Titan GPU as the AI Best Paper Award, and depending on the levels of attendance will also provide reimbursements for first authors of accepted papers (to be confirmed), in addition to a tentative evening reception. Link to the workshop with additional details for the Call for Papers: https://www.svrhm.com https://www.svrhm.com/call-for-papers Link to Paper workshop submission: https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/SVRHM *The submission deadline is September 22nd, 11.59pm PST, 2022.* *Paper Acceptance:* There will be no cap on paper acceptance percentage and our criteria for acceptance will continue to be to accept all papers with an average (1-10) *score of 5.5 and above*. This strict cut-off removes many conflicts of interest in addition to further discussion windows that due to the time horizon are not possible. Note: Paper And Reviewing standards are still very high and there is currently an approximate 60% acceptance rate with very high quality works that are later published in Tier-1 venues. *Reviewing:* If you are interested in becoming a Reviewer and have published/reviewed for this or similar venues before, please feel free to contact us as we are aiming for providing 3-4 reviews per submitted paper, where each reviewer will review no more than 2 papers. We are also continually looking for more sponsors that may provide Best Paper or Best Reviewer Awards. If you are interested in getting involved, let us know. All questions & inquiries regarding the workshop should be sent to: svrhm2022 at gmail.com , our Twitter account: @svrhm_workshop (preferred) and/or by directly contacting any of the organizers. *The workshop will happen *in-person* this year on December 2nd 2022 in New Orleans, Louisiana; USA. Virtual Attendance options will also be provided.* Looking forward to seeing you all! Sincerely, The Organizers Arturo Deza, Joshua Peterson, Apruva Ratan Murty, Tom Griffiths *The SVRHM workshop is currently sponsored by MIT?s Center from Brains, Minds and Machines (CBMM), the National Science Foundation (NSF), Artificio & NVIDIA.* -- Arturo Deza, Ph.D. PostDoctoral Research Associate Center for Brains, Minds and Machines Massachusetts Institute of Technology https://cbmm.mit.edu/about/people/deza -------------- next part -------------- An HTML attachment was scrubbed... URL: From arvind.k.panchal at gmail.com Wed Sep 14 12:53:48 2022 From: arvind.k.panchal at gmail.com (Arvind Kumar) Date: Wed, 14 Sep 2022 18:53:48 +0200 Subject: Connectionists: Fully funded Postdoctoral and PhD positions to study Cerebellum-Basal ganglia interactions Message-ID: Fully funded Postdoctoral and PhD positions to study Cerebellum-Basal ganglia interactions We invite applications for a postdoctoral position and a phd student position in the labs of Dr. Arvind Kumar (KTH Stockholm, Sweden), and Dr. Philippe Isope (CNRS, University of Strasbourg, France). The project: We are interested in understanding how the basal ganglia and the cerebellum interact during a sensori-motor task. To this end we use both experimental data (multiunit activity and behavior) and computational models. On one hand we will record multiunit neuronal activity in the cerebellum and basal ganglia while animals perform a motor task. On the other hand we will use computational models to understand how activity in one brain region affects the representation of task related activity in the other area. What are we looking for: - MSc/Phd in neuroscience (or Physics/Maths/Engineering) - Strong track record (e.g. published papers for those applying for the postdoctoral position) - Experience in computational modelling of biological neuronal networks and neural data analysis - Willingness to learn to perform extracellular recording in awake behaving animals Where: The candidates will be hired at the University of Strasbourg, France. and will be based at the Isope Lab . But s/he will work in close contact with Dr. Kumar who will spend considerable time in Strasbourg in the next two years. Moreover, the candidates will have the opportunity to spend time in Kumar Lab in Stockholm, Sweden. Tentative start date: Nov. 2022 Application documents: Please provide following documents in your application package - Detailed CV - Summary of ongoing and previous research (1-2 pages ) - Future research plans and explain why you want to study cerebellum basal ganglia interactions (1-2 pages) - Name and contact information of at least two referees. *Application deadline: 30 Oct. 2022 * Application submission: Please email your application document to arvindku at kth.se About the supervisors: Arvind Kumar: He is an associate professor at KTH Stockholm, Sweden. He has extensive experience in modelling biological neuronal network. His research group is interested in understanding information flow in the brain, how neuronal networks interact. His More info: https://arvkumar.github.io/ and https://www.kth.se/profile/arvindku Philippe Isope: He is a leading expert in cerebellum electrophysiology. His group is interested in understanding how cerebellar microcircuits shape brain function in both healthy and pathological states. More info. : https://inci-en.u-strasbg.fr/?page_id=432 -- Dr. Arvind Kumar Computational Brain Science, Div. of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm Lindstedtsv?gen 5. Room#4439 114 28 Stockholm, Sweden. Ph. No. +46-8790-6224 Web: https://www.kth.se/profile/arvindku/ https://arvkumar.github.io/ cricket blog: http://rightarmoverfast.blogspot.com -------- ? ?? ???????? ? ??????????? ? ??????? ???? ? ????????? ???? ?????????????? ????????? ? ????????? ? ??????? ?????? - ?. He who has no pleasure in questioning, nor in debate, nor in dialogue, Defend us to-day from him and from his encounter, defend us from his arms. -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at snl.salk.edu Wed Sep 14 23:24:28 2022 From: terry at snl.salk.edu (Terry Sejnowski) Date: Wed, 14 Sep 2022 20:24:28 -0700 Subject: Connectionists: Large Language Models and the Reverse Turing Test Message-ID: *Large Language Models and the Reverse Turing Test ** https://arxiv.org/abs/2207.14382** * Terrence Sejnowski Large Language Models (LLMs) have been transformative. They are pre-trained foundational models that are self-supervised and can be adapted with fine tuning to a wide ranger of natural language tasks, each of which previously would have required a separate network model. This is one step closer to the extraordinary versatility of human language. GPT-3 and more recently LaMDA can carry on dialogs with humans on many topics after minimal priming with a few examples. However, there has been a wide range of reactions on whether these LLMs understand what they are saying or exhibit signs of intelligence. This high variance is exhibited in three interviews with LLMs reaching wildly different conclusions. A new possibility was uncovered that could explain this divergence. What appears to be intelligence in LLMs may in fact be a mirror that reflects the intelligence of the interviewer, a remarkable twist that could be considered a Reverse Turing Test. If so, then by studying interviews we may be learning more about the intelligence and beliefs of the interviewer than the intelligence of the LLMs. As LLMs become more capable they may transform the way we interact with machines and how they interact with each other. LLMs can talk the talk, but can they walk the walk? -------------- next part -------------- An HTML attachment was scrubbed... URL: From shahdloo at gmail.com Thu Sep 15 04:46:47 2022 From: shahdloo at gmail.com (Mo Shahdloo) Date: Thu, 15 Sep 2022 09:46:47 +0100 Subject: Connectionists: MRI Together 2022 - CFP and free registration Message-ID: Dear colleagues, We are excited to invite you to attend the MRI Together virtual conference, endorsed by the European Society for MR in Medicine and Biology (ESMRMB), from the 5th - 8th of December 2022! This is a global workshop on open science and reproducible MR research through the whole study pipeline, from planning to acquisition, (post) processing, data sharing, and publication, spanning all time zones to maximize inclusivity, and registration is free! The goals of MRI Together are, through lectures, panel discussions and hands-on workshops: ? Highlight best practices for open science and reproducibility in MR research ? Raise awareness of barriers to progress and strategies to overcome these ? Amplify the voices of those conducting excellent examples of open research Whether you?re a MR scientist, developer, medical doctor, researcher in basic science, or data scientist, there?s something for you here. Are you working in open science and want the opportunity to present your work internationally (without the carbon footprint)? Check out our call for abstract submissions here https://forms.gle/2xMp5dHiNULkyXqT8 Did we miss a topic that you?d like to see? Why not apply for a symposium: https://forms.gle/yVhYCKPc792SN6aw6 For more details on the conference program and to register, head on to https://mritogether.esmrmb.org/? Best wishes, MRI Together organizing committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From davidjrohde at gmail.com Thu Sep 15 09:22:10 2022 From: davidjrohde at gmail.com (david rohde) Date: Thu, 15 Sep 2022 15:22:10 +0200 Subject: Connectionists: Last CFP "I can't believe it is not better" workshop at NeurIPS 2022 Message-ID: Do you have results that you can't believe are not better? Well, we are sorry - but sometimes we can learn more from surprising negative results. Announcing the 3rd edition of "I can't believe it is not better" workshop at NeurIPS 2022. This time focusing on "Understanding Deep Learning Through Empirical Falsification". https://sites.google.com/view/icbinb-2022/home We solicit contributions which explicitly formulate a hypothesis related to deep learning or its applications (based on first principles or prior work), and then empirically falsify it through experiments. We further encourage submissions to go a layer deeper and investigate the causes of an initial idea not working as expected. This workshop will showcase how negative results offer important learning opportunities for deep learning researchers, possibly far greater than the incremental improvements found in conventional machine learning papers! Paper Submission Deadline - Sep 22, 2022 Paper Acceptance Notification - Oct 20, 2022 In-Person Workshop - December 3, 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From adeel.razi at gmail.com Fri Sep 16 00:37:28 2022 From: adeel.razi at gmail.com (Adeel Razi) Date: Fri, 16 Sep 2022 14:37:28 +1000 Subject: Connectionists: Postdoc position: Principles of learning in biological and artificial neural networks Message-ID: Dear all, We're hiring a Postdoctoral Research Fellow at Monash University in Melbourne, Australia. Please see the text below. The project is about understanding principles of learning in biological & artificial neural networks. It is in collaboration with Anil Seth (Sussex), Yoshua Bengio (Mila), and Blake Richards (McGill). We are looking for a recent PhD graduate with experience in generative modelling, active inference, reinforcement learning, and possibly of analysing high-dimensional in-vitro neural recordings. Details and apply here: https://careers.pageuppeople.com/513/cw/en/job/641239/research-fellow-psychology For any questions please contact myself at adeel.razi at monash.edu With best wishes, Adeel -- *Adeel Razi, PhD * *Director, Computational Neuroscience Laboratory *Associate Professor | NHMRC Investigator, Emerging Leadership Fellow | Deputy Lead - Brain Mapping & Modelling Program *Turner Institute for Brain and Mental Health* CIFAR Azrieli Global Scholar, Brain, Mind & Consciousness Program Monash University, Australia adeelrazi.org | monash.edu/turner-institute Honorary Senior Research Fellow *Wellcome Centre for Human Neuroimaging* University College London, United Kingdom *P*: +61 (03) 99050109 | *T*: @adeelrazi | *A*: Room 137, 770 Blackburn Road, Clayton campus, VIC 3800, Australia *Please do not feel obliged to respond until the next working day if you get this email out of your regular working hours!* **************** Research Fellow Opening Job No.: 641239 Location: Clayton campus Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: $72,927 - $98,975 pa Level A (plus 17% employer superannuation) - Be inspired, every day - Drive your own learning at one of the world?s top 80 universities - Take your career in exciting, rewarding directions Everyone needs a platform to launch a satisfying career. At Monash, we give you the space and support to take your career in all kinds of exciting new directions. You?ll have access to quality research, infrastructure and learning facilities, opportunities to collaborate internationally, as well as the grants you?ll need to publish your work. We?re a university full of energetic and enthusiastic minds, driven to challenge what?s expected, expand what we know, and learn from other inspiring, empowering thinkers. The Opportunity In this collaborative and multidisciplinary project, you will focus on employing and extending active inference ? a framework for defining how neural networks self-optimise in highly dynamic and uncertain environments ? along with in vitro neural network recordings to understand the governing principles of learning in biological and artificial neural networks. The project is within a wider collaboration of Associate Professor Adeel Razi with Professor Anil Seth (Sussex), Professor Blake Richards (McGill), Professor Yoshua Bengio (Mila and The University of Montreal) and our industrial partner. To be successful in this role: This position is suited to a highly motivated individual who holds a doctoral qualification in Electrical and Biomedical Engineering, Machine Learning, Applied Physics and Mathematics, Computational Neuroscience or a closely related field. You will have: demonstrated analytical and manuscript preparation skills; including a track record of refereed research publications in computational or mathematical modelling of natural systems, reinforcement learning, active inference, computational neuroscience and relevant areas; the ability to solve complex problems by using discretion, innovation and the exercise diagnostic skills and/or expertise; and excellent planning and organisational skills. Monash benefits include: - Professional development and study support - Collaborative and inclusive culture - Health and well-being initiatives - Generous parental leave and on-site childcare - On-site services available to staff at our campuses including on-site gym, pool, bookshop, health service, post office - Salary packaging options available and staff discounts If this sounds like a position that suits your career aspirations, we can?t wait to receive your application! This role is a full-time position; however, flexible working arrangements may be negotiated. Your application must address the key selection criteria. Please refer to "How to apply for Monash Jobs ". We encourage applications from First Nations people, culturally and linguistically diverse people, people with disabilities, neurodiverse people, and people of all genders, sexualities and age groups. Join us in our commitment to ensuring a better future for ourselves and for the communities in which we study, work, live and engage ? #ChangeIt with us. Enquiries Dr Adeel Razi, Associate Professor, Monash Biomedical Imaging +61 3 9905 0109 Position Description [image: Download File] Research Fellow - Psychology Closing Date Sunday 9 October 2022, 11:55pm AEDT Supporting a diverse workforce -------------- next part -------------- An HTML attachment was scrubbed... URL: From warlaumont at ucla.edu Thu Sep 15 16:07:38 2022 From: warlaumont at ucla.edu (Anne Warlaumont) Date: Thu, 15 Sep 2022 13:07:38 -0700 Subject: Connectionists: Tenure track opening in Computational Social Science at UCLA Message-ID: Dear Colleagues, The University of California, Los Angeles (UCLA) Department of Communication invites applications for a tenure track appointment at the level of Assistant Professor with an emphasis on developing and/or applying computational social science methods to study communication. Potential areas of research include (but are by no means limited to) agent-based or other computational modeling, network science, machine learning, artificial intelligence, natural language processing, analysis of large audio and/or video datasets, gathering and analysis of digital trace data, and the use of virtual lab or field experiments. Interested candidates should view full posting and submit application materials via *UC Recruit here >>* Best regards, Anne -- Anne S. Warlaumont Associate Professor Department of Communication University of California, Los Angeles -------------- next part -------------- An HTML attachment was scrubbed... URL: From poma at mmmi.sdu.dk Thu Sep 15 10:22:56 2022 From: poma at mmmi.sdu.dk (Poramate Manoonpong) Date: Thu, 15 Sep 2022 14:22:56 +0000 Subject: Connectionists: [journals] CFP: Special Issue on "Bioinspired Intelligent Robotics and Control" of Machines-MDPI Message-ID: Dear Colleagues, In the growing market of robots replicating human behavior, bioinspired robots with a simplified design and control have seen significant advancements in the field of robotics and human?robot interactions. In that respect, robot intelligence can be redefined concerning a perfect matching of mechanics and control. Further, robot control and learning are two key aspects that provide steady performance and adaptation to new conditions or collaborations with other agents (robots or humans). A paradigm shift in the future of robotics from creating robots doing repetitive and specific precision-oriented jobs to intelligent and helpful robots supporting our everyday life is predicted in this context. These robots complementing humans? capabilities could provide a breakthrough in logistics, healthcare, and automatization of different industries in the near future, which are addressed in the industry 4.0 paradigm. This Special Issue aims to collect high-quality research studies addressing intelligent robotics and control, including but not limited to the following topics: Robot intelligence Bioinspired robots Human-robot interaction Body Intelligence Morphological computation Embedded control Robot learning Humanoids For further reading, please follow the link to the Special Issue Website at: https://www.mdpi.com/journal/machines/special_issues/bioinspired_intelligent_robotics The submission deadline is 15 December 2022. You may send your manuscript now or up until the deadline. Submitted papers should not be under consideration for publication elsewhere. Best regards, Dr. Maziar Ahmad Sharbafi Prof. Dr. Poramate Manoonpong Guest Editors ---- Poramate Manoonpong Professor Embodied AI and Neurorobotics Lab: https://ens-lab.sdu.dk SDU Biorobotics, The Maersk Mc-Kinney Moller Institute poma at mmmi.sdu.dk www.sdu.dk/ansat/poma University of Southern Denmark Campusvej 55 DK-5230 Odense M www.sdu.dk -------------- next part -------------- An HTML attachment was scrubbed... URL: From gary.marcus at nyu.edu Thu Sep 15 11:54:14 2022 From: gary.marcus at nyu.edu (Gary Marcus) Date: Thu, 15 Sep 2022 08:54:14 -0700 Subject: Connectionists: Large Language Models and the Reverse Turing Test In-Reply-To: References: Message-ID: <9BC5BD59-4D89-429B-A9DC-426962B302AF@nyu.edu> I don?t happen to agree with the thesis (?The smarter you are, the smarter the LLM appears to be?), but the opening is genius. Thanks, Terry! > On Sep 14, 2022, at 23:05, Terry Sejnowski wrote: > > ? > Large Language Models and the Reverse Turing Test > > https://arxiv.org/abs/2207.14382 > > Terrence Sejnowski > Large Language Models (LLMs) have been transformative. They are pre-trained foundational models that are self-supervised and can be adapted with fine tuning to a wide ranger of natural language tasks, each of which previously would have required a separate network model. This is one step closer to the extraordinary versatility of human language. GPT-3 and more recently LaMDA can carry on dialogs with humans on many topics after minimal priming with a few examples. However, there has been a wide range of reactions on whether these LLMs understand what they are saying or exhibit signs of intelligence. This high variance is exhibited in three interviews with LLMs reaching wildly different conclusions. A new possibility was uncovered that could explain this divergence. What appears to be intelligence in LLMs may in fact be a mirror that reflects the intelligence of the interviewer, a remarkable twist that could be considered a Reverse Turing Test. If so, then by studying interviews we may be learning more about the intelligence and beliefs of the interviewer than the intelligence of the LLMs. As LLMs become more capable they may transform the way we interact with machines and how they interact with each other. > > LLMs can talk the talk, but can they walk the walk? > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Thu Sep 15 10:47:52 2022 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Thu, 15 Sep 2022 14:47:52 +0000 Subject: Connectionists: Call for Participation -- SBP-BRiMS'2022: conference now days away ... In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2022 2022 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation September 20-23, 2022 Will be held in hybrid mode (Virtually & in-person at Carnegie Mellon University (CMU), Pittsburgh, USA) http://sbp-brims.org/ #sbpbrims Conference Registration: Registration is now open for the 2022 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Sep 20-23, 2022. Conference format is hybrid -- in person and virtual/online. You can register at the website: http://sbp-brims.org/2022/registration/ Conference Agenda: The program is now available ... http://sbp-brims.org/2022/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: Keynote Speakers: Conrad Tucker, CMU, Arthur Hamerschlag Career Development Professor of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA; Commissioner: U.S. Chamber of Commerce Artificial Intelligence (AI) Commission on Competitiveness, Inclusion, and Innovation Ariel Greenberg, JHU-APL Senior Staff Scientist, Johns Hopkins University Applied Physics Laboratory, Baltimore, MD, USA Pre-Conference Tutorial Sessions: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. Funding Panel & Cross-fertilization Roundtables: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). SBP-BRiMS 2022 Sept 20-23| In-Person at 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 nogazs at mit.edu Thu Sep 15 23:52:33 2022 From: nogazs at mit.edu (Noga Zaslavsky) Date: Thu, 15 Sep 2022 23:52:33 -0400 Subject: Connectionists: [NeurIPS 2022 Workshop] [CFP] Information-Theoretic Principles in Cognitive Systems Message-ID: Dear all, We are thrilled to invite submissions to the *NeurIPS 2022 workshop on Information-Theoretic Principles in Cognitive Systems*. This interdisciplinary workshop aims to explore new avenues for progress toward an integrative computational theory of human and artificial cognition, by leveraging information-theoretic principles as bridges between various cognitive functions and neural representations. To this end, we aim to bring together researchers from machine learning, cognitive science, neuroscience, linguistics, economics, and other fields, who are interested in information-theoretic approaches to cognitive systems. *Submissions:* We invited short paper submissions (up to 4 pages), describing either unpublished work, including preliminary work in progress, or work that has recently been published at non machine learning venues. The workshop is considered a non-archival venue, which means that acceptance should not interfere with future submissions to journals or conference proceedings. A subset of accepted papers will be invited for a full-length article submission to a special issue of Open Mind , dedicated to the topic of the workshop. Examples of specific topics of interest include but are not limited to: - Novel information-theoretic approaches to cognitive functions (e.g., perception, decision making, language, social reasoning, etc.) - Machine learning tools for scaling up information-theoretic models of cognition - Applications of information theory to training human-aligned artificial agents, i.e., agents that can better communicate and cooperate with humans - Challenges and limitations of the use of information theory in studying cognitive systems The full call for papers and submission guidelines can be found here: https://sites.google.com/view/infocog-neurips2022/call-for-papers *Funding and participation:* The workshop will be hybrid, welcoming both virtual and in-person participants, as part of NeurIPS 2022 in New Orleans. To facilitate in-person participation, we expect to have a limited amount of funding to support a few selected presenters of accepted papers. *Important dates* - *Submission deadline: September 22, 2022 (anywhere on earth)* - Author notification: October 15, 2022 - Workshop date: December 3, 2022 Website: https://sites.google.com/view/infocog-neurips2022 Questions and correspondence pertaining to the workshop should be addressed to infocog.neurips at gmail.com We hope to see you all at the workshop! Best regards, The Organizers Noga Zaslavsky, MIT Mycal Tucker, MIT Irina Higgins, DeepMind Sarah Marzen, Claremont Stephanie Palmer, University of Chicago Sam Gershman, Harvard -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Thu Sep 15 22:42:47 2022 From: junfeng989 at gmail.com (Jun Feng) Date: Thu, 15 Sep 2022 22:42:47 -0400 Subject: Connectionists: [Last Call]The 8th IEEE International Conference on Privacy Computing [Deadline Extended: Sep. 20][Hybrid Conference][10+ Special Issues] Message-ID: CFP: The 8th IEEE International Conference on Privacy Computing (PriComp 2022) [10+ Special Issues] Dec. 15-18, Haikou, China [Submission Deadline Extended: Sep. 20] http://www.ieee-smart-world.org/2022/pricomp/ **PriComp 2022 supports Virtual Conference for foreign authors out of China.** PriComp 2022 is the 8th in this series of conferences started in 2015 that are devoted to algorithms and architectures for Privacy Computing. PriComp conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of Privacy Computing systems and applications. Following the traditions of the previous successful PriComp conferences held in Fuzhou, China (2015); Qingdao, China (2016); Melbourne, Australia (2017); Boppard, Germany (2018); Canterbury, UK (2019); Hainan, China (2020) and Xi'an, Shanghai, China (online, 2021); PriComp 2022 will be held in Haikou, China. PriComp 2022 will focus on an evolving pathway from privacy protection to privacy computing, by serving as an international premier forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of privacy computing. The conference of PriComp 2022 is co-organized by Chinese Information Processing Society of China, Institute of Information Engineering, CAS, and Hainan University. ================== Important Dates ================== Paper Submission (Deadline Extended): September 20, 2022 Author Notification: October 15, 2022 Camera-Ready Submission: October 31, 2022 Conference Date: December 15-18, 2022 ================== Topics of interest include, but are not limited to ================== - Theories and foundations for privacy computing - Programming languages and compilers for privacy computing - Privacy computing models - Privacy metrics and formalization - Privacy taxonomies and ontologies - Privacy information management and engineering - Privacy operation and modeling - Data utility and privacy loss - Cryptography for privacy protection - Privacy protection based information hiding and sharing - Data analytics oriented privacy control and protection - Privacy-aware information collection - Privacy sensing and distribution - Combined and comprehensive privacy protection - Privacy-preserving data publishing - Private information storage - Private integration and synergy - Private information exchange and sharing - Privacy inference and reasoning - Internet and web privacy - Cloud privacy - Social media privacy - Mobile privacy - Location privacy - IoT privacy - Behavioral advertising - Privacy in large ecosystems such as smart cities - Privacy of AI models and systems - AI for privacy computing - Privacy and blockchain - User-centric privacy protection solutions - Human factors in privacy computing - Privacy nudging - Automated solutions for privacy policies and notices - Legal issues in privacy computing and other interdisciplinary topics ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N29960) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Special Issues ================== All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in SCI & EI indexed prestigious journals. 1. Special issue on ?Dark side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation?, IEEE Transactions on Computational Social Systems http://cyber-science.org/2022/assets/files/si/220412_IEEE%20TCSS_SI.pdf 2. Special issue on ?Responsible AI in Social Computing?, IEEE Transactions on Computational Social Systems https://www.ieeesmc.org/images/publications/pdfs/Call_for_Paper_-_SI_on_Responsible_AI_in_Social_Computing.pdf 3. Special issue on ?Decentralized Trust Management with Intelligence?, Information Science https://www.journals.elsevier.com/information-sciences/call-for-papers/decentralized-trust-management-with-intelligence 4. Special issue on ?Resource Sustainable Computational and Artificial Intelligence?, IEEE Transactions on Emerging Topics in Computational Intelligence 5. Special issue on ?Smart Blockchain for IoT Trust, Security and Privacy?, IEEE IoT Journal https://ieee-iotj.org/wp-content/uploads/2022/05/IEEEIoT-SmartBlockchain-TSP.pdf 6. Special issue on ?Edge Computing Optimization and Security?, Journal of Systems Architecture https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/edge-computing-optimization-and-security-vsi-edgeos2022 7. Special issue on ?Distributed Learning and Blockchain Enabled Infrastructures for Next Generation of Big Data Driven Cyber-Physical Systems?, Journal of Systems Architecture http://cyber-science.org/2022/assets/files/si/JSA_SI_0331.pdf 8. Special issue on ?Distributed and Collaborative Learning Empowered Edge Intelligence in Smart City?, ACM Transactions on Sensor Networks https://dl.acm.org/pb-assets/static_journal_pages/tosn/pdf/ACM_TOSN_CFP1210-1640635690003.pdf 9. Special issue on ?Robustness, Privacy, and Forensics in Intelligent Multimedia Systems? Information Science https://www.journals.elsevier.com/information-sciences/forthcoming-special-issues/robustness-privacy-and-forensics-in-intelligent-multimedia-systems 10. Special issue on ?Embedded Software and Systems? Journal of Systems Architecture 11. Special issue on ?Efficient Management of Microservice-based Systems and Applications? Software: Practice and Experience https://onlinelibrary.wiley.com/page/journal/1097024x/homepage/special_issues.htm **** More special issues can be found at: http://www.ieee-smart-world.org/2022/pricomp/si.php ================== Organizing Committee ================== General Chairs - Fenghua Li, Institute of Information Engineering, CAS, China - Laurence T. Yang, Hainan University, China - Willy Susilo, University of Wollongong, Australia Program Chairs - Hui Li, Xidian University, China - Mamoun Alazab, Charles Darwin University, Australia - Jun Feng, Huazhong University of Science and Technology, China Local Chairs - Weidong Qiu, Shanghai Jiaotong University, China - Jieren Cheng, Hainan University, China Publicity Chairs - Bocheng Ren, Huazhong University of Science and Technology, China - Xin Nie, Huazhong University of Science and Technology, China - Peng Tang, Shanghai Jiao Tong University, China -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From sigurd.lokse at uit.no Thu Sep 15 12:55:52 2022 From: sigurd.lokse at uit.no (=?Windows-1252?Q?Sigurd_Eivindson_L=F8kse?=) Date: Thu, 15 Sep 2022 16:55:52 +0000 Subject: Connectionists: =?windows-1252?q?EXTENDED_DEADLINE=3A_6th_Norther?= =?windows-1252?q?n_Lights_Deep_Learning_Conference=2C_10-12_January_2023?= =?windows-1252?q?=2C_Troms=F8_=28=93North_Pole=94=29=2C_Norway?= Message-ID: The submission deadline for NLDL 2023 has been extended to October 3rd, 2022. See the CFP below. ------------------------------ Please join for the 6th Northern Lights Deep Learning Conference (NLDL) on 10-12 January 2023 in Troms?, Norway, organized by Visual Intelligence and the UiT Machine Learning Group. We look forward to gathering the deep learning community again in the cool arctic air for a physical conference, after two years online. In addition, the NLDL winter school, which is a part of the NORA research school http://nora.ai, starts at Jan 9 and ends at Jan 13 and incorporates events during the main conference days. The winter school includes scientific topics, industry event, women in AI event, and transferrable skills. More information coming soon at http://www.nldl.org/winter-school. We invite submissions presenting new and original research on all aspects of Deep Learning. The topics include but are not limited to the following: * Architecture, concepts and optimization * Deep learning for structured and unstructured data * Graph neural networks * Generative models * Bayesian Deep Learning * Lightweight / frugal Deep Learning * Explainability and interpretability of Deep Learning models * Computer vision * Natural language processing * Deep Learning for signals, images, 3D and hyperspectral images * Deep Learning applications to biology and medicine * Deep Learning application to environment and ecology * Deep Learning applications to Physics * Deep Learning for industrial applications As always, we are happy to have top international speakers. This year, for instance * Mark Girolami ? University of Cambridge/Alan Turing Institute * Mihaela van der Shaar ? University of Cambridge/Alan Turing Institute * Polina Golland ? MIT * Christian Igel ? University of Copenhagen We are accepting two alternatives for contributions: (1) Full paper submissions (6 pages) will be presented either as orals or as posters and will be published in the conference proceedings. The proceedings are approved as a level 1 publication in the Norwegian national list of authorized research publication channels; (2) Extended abstracts (2 pages) will be presented either as orals or as posters (but not published in the conference proceedings). The review process is double-blind. Deadline for both types of submissions: October 3rd, 2022. Instructions on template etc. can be found on http://www.nldl.org. A tentative program will be available soon at http://www.nldl.org/ and will include keynotes, scientific talks, an industry event, a Women in AI event and social events. We hope to see many participants for a nice scientific gathering on the ?north pole?, including social events, and hopefully some northern lights Kind regards, The NLDL 2023 organizing committee http://visual-intelligence.no http://machine-learning.uit.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From vito.trianni at istc.cnr.it Fri Sep 16 04:01:41 2022 From: vito.trianni at istc.cnr.it (Vito Trianni) Date: Fri, 16 Sep 2022 10:01:41 +0200 Subject: Connectionists: [jobs] Open Job Market: several positions in AI, Robotics and Cognitive Sciences - ISTC-CNR Message-ID: <58E94584-F275-49A4-BC35-71E9308882C8@istc.cnr.it> The Institute of Cognitive Sciences and Technologies (ISTC) of the Italian National Research Council is advertising several open positions (PhD/PostDoc) within national and international projects. All details are available here: https://www.istc.cnr.it/en/media/news/istc-open-job-market A hybrid workshop is organised to present the available positions and related projects, taking place on Monday, October the 3rd at 10AM CET. On site and online participation is allowed, and interested students/researchers can submit their CV and organise a one-to-one icebreaking interview with the PI. If you want to attend the workshop and leave your CV, register here: https://docs.google.com/forms/d/e/1FAIpQLScoAQMhTnqczP4xwb46dyj_-Xvs-eGMF9L4zWV7mgJPSJY14Q/viewform ======================================================================== Vito Trianni, Ph.D. vito.trianni@(no_spam)istc.cnr.it ISTC-CNR http://www.istc.cnr.it/people/vito-trianni Via San Martino della Battaglia 44 Tel: +39 06 44595277 00185 Roma Fax: +39 06 44595243 Italy ======================================================================== From el-ghazali.talbi at univ-lille.fr Fri Sep 16 08:03:37 2022 From: el-ghazali.talbi at univ-lille.fr (El-ghazali Talbi) Date: Fri, 16 Sep 2022 14:03:37 +0200 Subject: Connectionists: CFP OLA'2023 Optimization & Learning @Malaga (Spain) Message-ID: <97b93105-f370-6b86-b4e8-fb0bcb693abc@univ-lille.fr> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** ????????????????????????? OLA'2023 ????????? International Conference on Optimization and Learning ????????????????????????? 3-5 May 2023 ????????????????????????? Malaga, Spain ??????????????? http://ola2023.sciencesconf.org/ ??????????????????? SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and/or machine learning methods and their applications. The conference OLA'2023 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2023 welcomes presentations that cover any aspects of optimization and/or machine learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: -?????? S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages -?????? S2: Original research contributions of a maximum of 10 pages Important dates: =============== Paper submission extended deadline???? Dec 16, 2022 Notification of acceptance??? Jan 27, 2022 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -- ********************************************************************** OLA'2023 International Conference on Optimization and Learning (SCOPUS, Springer) Malaga, Spain, May 3-5, 2023 http://ola2023.sciencesconf.org *********************************************************************** META'2023 International Conference on Metaheuristics and Nature Inspired Computing (SCOPUS, Springer) Marrakech, Morocco, Oct 25-28, 2023 *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS -- ********************************************************************** OLA'2023 International Conference on Optimization and Learning (SCOPUS, Springer) Malaga, Spain, May 3-5, 2023 http://ola2023.sciencesconf.org *********************************************************************** META'2023 International Conference on Metaheuristics and Nature Inspired Computing (SCOPUS, Springer) Marrakech, Morocco, Oct 25-28, 2023 *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS From franciscocruzhh at gmail.com Fri Sep 16 07:04:03 2022 From: franciscocruzhh at gmail.com (Francisco Cruz) Date: Fri, 16 Sep 2022 21:04:03 +1000 Subject: Connectionists: [Meetings][Call for Participation] LACORO 2023: 2nd Latin American Summer School on Cognitive Robotics Message-ID: LACORO 2023 - 2nd Latin American Summer School on Cognitive Robotics Santiago (Chile) in person, 3-6 January 2023 https://www.lacoro.org We are excited to announce the 2nd Latin American Summer School on Cognitive Robotics (LACORO), which aims at making cutting-edge knowledge on Artificial Intelligence for Robotics Applications accessible in the Southern Hemisphere. Our aims are: - to build a sustainable community of students and researchers in the area of Artificial Intelligence for Robotics, particularly Cognitive Inspired Aspects of AI. - to foster intercultural student collaboration within and outside the Americas. Format: LACORO will include cutting-edge lectures and tutorials on Artificial Intelligence and Robotics and aspects of Human Cognition. Moreover, we will host tutorial and mentoring sessions for both scientific topics and other aspects of the academic research world. Date and Location: LACORO will be held in-person from the 3rd to 6th of January, 2023 at the Facultad de Ingenier?a, Universidad Andr?s Bello (UNAB), Santiago, Chile. Registration is now open! Registration for students is free! Please visit our website, where you can find more information regarding costs, travel, travel grants, and lodging, along with the registration form. If you have any questions about the school or the application process, please contact the organizing committee: lacoro at innovacionyrobotica.com The week after LACORO, the VI Latin American Summer School in Computational Neuroscience (LACONEU 2023) will take place from January 9-20th, 2023, in Valparaiso ? Chile. The Special Topic of this year is Machine Learning and Artificial Intelligence. For more information, visit: http://www.laconeu.cl Best regards from the organizing committee, Dr. Francisco Cruz School of Computer Science and Engineering Faculty of Engineering UNSW Sydney https://www.unsw.edu.au/staff/francisco-cruz-naranjo -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Sep 17 04:42:48 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 17 Sep 2022 10:42:48 +0200 (CEST) Subject: Connectionists: DeepLearn 2023 Winter: early registration September 26 Message-ID: <995087646.1905321.1663404168575@webmail.strato.com> ****************************************************************** 8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: September 26, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Winter will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria and Lule?. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2023 Winter is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2023 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: Talbot Campus Bournemouth University https://www.bournemouth.ac.uk/about/contact-us/directions-maps/directions-our-talbot-campus STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), CTRL: Closed-Loop Data Transcription via Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] Deep Learning for 3D Vision Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Seungjin Choi (Intellicode), [introductory/intermediate] Bayesian Optimization over Continuous, Discrete, or Hybrid Spaces Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare Luc De Raedt (KU Leuven), [introductory/intermediate] From Statistical Relational to Neuro-Symbolic Artificial Intelligence Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Zhiting Hu (University of California, San Diego) & Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A "Standard Model" for Machine Learning with All Experiences Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Abdelrahman Mohamed (Meta), [intermediate/advanced] Speech Representation Learning for Recognition and Generation Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Richa Singh (Indian Institute of Technology Jodhpur), [introductory/intermediate] Trusted AI Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Bram van Ginneken (Radboud University Medical Center), [introductory/intermediate] Deep Learning for Medical Image Analysis Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by January 8, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by January 8, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by January 8, 2023. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, local co-chair) Marcin Budka (Bournemouth) Vegard Engen (Bournemouth) Nan Jiang (Bournemouth, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023wi/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2023wi/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Bournemouth University Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From akarargyris at gmail.com Sun Sep 18 04:05:23 2022 From: akarargyris at gmail.com (Alex Karargyris) Date: Sun, 18 Sep 2022 10:05:23 +0200 Subject: Connectionists: **Submission deadline extended to Sept. 29** NeurIPS 2022 Gaze Meets ML Workshop Message-ID: Dear all, We have some important updates related to NeurIPS 2022 Gaze Meets ML Workshop: 1) The submission deadline is extended by 1 week (i.e Thursday, September 29th - Anywhere on Earth ) 2) We are are excited and honored to have Prof. J?rgen Schmidhuber give the opening remarks at the workshop! Please see the updated announcement below. Looking forward to meeting everyone in New Orleans! Sincerely, Alexandros Karargyris on behalf of the organizing committee ********************************************************************************** The 2022 Gaze Meets ML workshop in conjunction with NeurIPS 2022 ********************************************************************************** *Webpage: **https://gaze-meets-ml.github.io/* *Twitter Handle: **https://twitter.com/Gaze_Meets_ML* *Submission site:* *https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/GMML* *Submission deadline: **September 22nd 2022** September 29th, 2022* *Date: December 3rd, 2022* *Location: New Orleans Convention Center, New Orleans, LA* *!!!NEWS!!!* *-Submission deadline extended to September 29th, 2022* *-Prof. J?rgen Schmidhuber will give the opening remarks at the workshop* [image: jurgen.jpeg] ** *Overview* ** Eye gaze has proven to be a cost-efficient way to collect large-scale physiological data that can reveal the underlying human attentional patterns in real life workflows, and thus has long been explored as a signal to directly measure human-related cognition in various domains Physiological data (including but not limited to eye gaze) offer new perception capabilities, which could be used in several ML domains, e.g., egocentric perception, embodiedAI, NLP, etc. They can help infer human perception, intentions, beliefs, goals and other cognition properties that are much needed for human-AI interactions and agent coordination. In addition, large collections of eye-tracking data have enabled data-driven modeling of human visual attention mechanisms, both for saliency or scanpath prediction, with twofold advantages: from the neuroscientific perspective to understand biological mechanisms better, from the AI perspective to equip agents with the ability to mimic or predict human behavior and improve interpretability and interactions. With the emergence of immersive technologies, now more than any time there is a need for experts of various backgrounds (e.g., machine learning, vision, and neuroscience communities) to share expertise and contribute to a deeper understanding of the intricacies of cost-efficient human supervision signals (e.g., eye-gaze) and their utilization towards bridging human cognition and AI in machine learning research and development. The goal of this workshop is to bring together an active research community to collectively drive progress in defining and addressing core problems in gaze-assisted machine learning. *** Call for Papers *** We welcome submissions that present aspects of eye-gaze in regards to cognitive science, psychophysiology and computer science, propose methods on integrating eye gaze into machine learning, and application domains from radiology, AR/VR, autonomous driving, etc. that introduce methods and models utilizing eye gaze technology in their respective domains. Topics of interest include but are not limited to the following: ? Understanding the neuroscience of eye-gaze and perception. ? State-of-the-art in incorporating machine learning and eye-tracking. ? Data annotation and ML supervision with eye-gaze. ? Attention mechanisms and their correlation with eye-gaze. ? Methods for gaze estimation and prediction using machine learning. ? Unsupervised ML using eye gaze information for feature importance/selection. ? Understanding human intention and goal inference. ? Using saccadic vision for ML applications. ? Use of gaze for human-AI interaction and agent coordination in multi-agent environments. ? Eye gaze used for AI, e.g., NLP, Computer Vision, RL, Explainable AI, Embodied AI, Trustworthy AI. ? Gaze applications in cognitive psychology, radiology, neuroscience, AR/VR, autonomous cars, privacy, etc. *** Submission Guidelines *** Submissions must be written in English and must be sent in PDF format. Each submitted paper must be no longer than nine (9) pages, excluding appendices and references. Please refer to the NeurIPS2022 formatting instructions for instructions regarding formatting, templates, and policies. The submissions will be peer-reviewed by the program committee and accepted papers will be presented as lightning talks during the workshop. Submit your paper at https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/GMML *** Awards and Funding *** Award prizes for best papers and travel awards for selected student authors, with a focus on increasing diversity and inclusion. *** Important dates for Workshop paper submission* ** ? Paper submission deadline: September 22, 2022 September 29th, 2022 ? Reviewing starts: September 26, 2022, September 30, 2022 ? Reviewing ends: October 10, 2022 ? Notification of acceptance: October 14, 2022 ? Workshop: December 3, 2022 (in person) *** Organizing Committee *** Ismini Lourentzou (Virginia Tech) Joy Tzung-yu Wu (Stanford, IBM Research) Satyananda Kashyap (IBM Research) Alexandros Karargyris (IHU Strasbourg) Leo Antony Celi (MIT) Ban Kawas (Meta, Reality Labs Research) Sachin Talathi (Meta, Reality Labs Research) *** Keynote Speaker*** Since age 15 or so, the main goal of professor J?rgen Schmidhuber has been to build a self-improving Artificial Intelligence (AI) smarter than himself, then retire. His lab's Deep Learning Neural Networks (NNs) based on ideas published in the "Annus Mirabilis" 1990-1991 have revolutionised machine learning and AI. In 2009, the CTC-trained Long Short-Term Memory (LSTM) of his team was the first recurrent NN to win international pattern recognition competitions . In 2010, his lab's fast and deep feedforward NNs on GPUs greatly outperformed previous methods , without using any unsupervised pre-training, a popular deep learning strategy that he pioneered in 1991 . In 2011, the DanNet of his team was the first feedforward NN to win computer vision contests , achieving superhuman performance . In 2012, they had the first deep NN to win a medical imaging contest (on cancer detection). This deep learning revolution quickly spread from Europe to North America and Asia, and attracted enormous interest from industry. By the mid 2010s , his lab's NNs were on 3 billion devices, and used billions of times per day through users of the world's most valuable public companies , e.g., for greatly improved speech recognition on all Android smartphones, greatly improved machine translation through Google Translate and Facebook (over 4 billion LSTM-based translations per day), Apple's Siri and Quicktype on all iPhones, the answers of Amazon's Alexa, and numerous other applications. In May 2015, his team published the Highway Net , the first working really deep feedforward NN with hundreds of layers?its open-gated version called ResNet (Dec 2015) has become the most cited NN of the 21st century, LSTM the most cited NN of the 20th (Bloomberg called LSTM the *arguably most commercial AI achievement*). His lab's NNs are now heavily used in healthcare and medicine , helping to make human lives longer and healthier. His research group also established the fields of mathematically rigorous universal AI and recursive self-improvement in metalearning machines that learn to learn (since 1987). In 1990, he introduced unsupervised generative adversarial neural networks that fight each other in a minimax game to implement artificial curiosity (the famous GANs are instances thereof). In 1991, he introduced neural fast weight programmers formally equivalent to what's now called Transformers with linearized self-attention. His formal theory of creativity & curiosity & fun explains art, science, music, and humor. He also generalized algorithmic information theory and the many-worlds theory of physics , and introduced the concept of Low-Complexity Art , the information age's extreme form of minimal art. He is recipient of numerous awards, author of about 400 peer-reviewed papers, and Chief Scientist of the company NNAISENSE , which aims at building the first practical general purpose AI. He is a frequent keynote speaker, and advising various governments on AI strategies. *** Contact* ** Organizing Committee gaze.neurips at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: jurgen.jpeg Type: image/jpeg Size: 570600 bytes Desc: not available URL: From daniel.braun at uni-ulm.de Sat Sep 17 09:29:53 2022 From: daniel.braun at uni-ulm.de (Daniel Braun) Date: Sat, 17 Sep 2022 15:29:53 +0200 Subject: Connectionists: 3yr PhD / PostDoc position @ Ulm University Message-ID: There is a fully funded Phd or PostDoc level position available at the Institute of Neural Information Processing at Ulm University, Germany. At the institute we use a diverse set of methods to study the information processing principles underlying intelligent behavior in cognitive systems, including both biological and artificial systems. In particular, we are interested in systems that learn in open-ended environments and that use abstraction to solve novel problems through generalization and meta-learning. 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 artificial and natural intelligence. The positions are paid according to German tariff TV?D E13. Ulm University with its more than 10,000 students is Baden-W?rttemberg?s youngest university. It offers attractive career prospects in a highly innovative research, teaching and work environment at the same time facilitating the reconciliation of work and family life. The University of Ulm is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented. Knowledge of German is advantageous. The position is available from DEC 1, 2022 and will be filled as soon as possible. Candidates should submit a CV and a brief statement of interest through the university's online application system: stellenangebote.uni-ulm.de/jobposting/9c710d04684a751fcf4470b61d881631da41ddba -- Prof. Dr. Dr. Daniel Alexander Braun Institute of Neural Information Processing Faculty of Engineering, Computer Science and Psychology Ulm University James-Franck-Ring D-89081 Ulm Germany phone: +49 (0)731 50 - 24150 <%2B49%20%280%29731%2050%20-%2024158> fax: +49 (0)731 50 - 24156 email: daniel.braun at uni-ulm.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Sun Sep 18 05:32:46 2022 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Sun, 18 Sep 2022 11:32:46 +0200 Subject: Connectionists: [CfP] [Deadline extended] The 3rd international workshop on Machine Learning for EEG Signal Processing (MLESP) In-Reply-To: <6c024f22-c485-1d64-21a0-4c9b2a5cd2d9@ai.univ-paris8.fr> References: <8f51ad5e-b276-8a29-df0f-b2da8e672395@ai.univ-paris8.fr> <71c6d4bc-d6ba-a308-63ed-b5c7e205e14e@ai.univ-paris8.fr> <6c024f22-c485-1d64-21a0-4c9b2a5cd2d9@ai.univ-paris8.fr> Message-ID: <777c1223-a37d-f073-03c9-14a132488310@ai.univ-paris8.fr> [Apologies for multiple postings] ** *CALL FOR PAPERS* The 3^rd international workshop on Machine Learning for EEG Signal Processing (MLESP 2022, https://mlesp2022.sciencesconf.org/) will be held in Las Vegas, USA, from 6 to 9 december 2022, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2022, https://ieeebibm.org/BIBM2022/) *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 an impressive progress to solve 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 the recent advances. The topics of interest include but 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 Aug. 31, 2022***Sep. 30, 2022* (11:59 pm CST): Due date for full workshop papers submission Oct. 31, 2022: Notification of paper acceptance to authors Nov. 12, 2022: Camera-ready of accepted papers Dec 6-9, 2022: Workshops Paper Submission - Please submit a full-length paper (up to 8 page 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/2022/bibm22/scripts/submit.php?subarea=S02&undisplay_detail=1&wh=/cyberchair/2022/bibm22/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 hocine.cherifi at gmail.com Mon Sep 19 02:32:31 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 19 Sep 2022 08:32:31 +0200 Subject: Connectionists: Call for Participation COMPLEX NETWORKS 2022 Palermo November 08 - 10, 2022 Message-ID: *11th** International Conference on Complex Networks & Their Applications* *Palermo, Italy *November 08 - 10, 2022 COMPLEX NETWORKS 2022 *See the detailed program at :* https://easychair.org/smart-program/COMPLEXNETWORKS2022/ *Registration:* https://complexnetworks.org/registration/ *SPEAKERS* ? Lu?s A. Nunes Amaral Northwestern University USA ? Manuel Cebrian Max Planck Institute for Human Development Germany ? Shlomo Havlin Bar-Ilan University in Israel ? Giulia Iori City, University of London UK ? Melanie Mitchell Santa Fe Institute USA ? Ricard Sol? Universitat Pompeu Fabra Spain *TUTORIALS (November 07, 2022)* ? Michele Coscia IT University of Copenhagen Denmark ? Adriana Iamnitchi Maastricht University, Netherlands Best regards, and looking forward to seeing you at COMPLEX NETWORKS 2022. Hocine Cherifi Rosario N. Mantegna Luis M. Rocha COMPLEX NETWORKS 2022 General Chairs Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Mon Sep 19 06:53:05 2022 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Mon, 19 Sep 2022 12:53:05 +0200 Subject: Connectionists: [jobs] University Professor (W3) and Director of the Institue for AI Safety and Security (f/m/x) at RUB Bochum and DLR, Germany Message-ID: <20220919105305.GW15821@curry> In a joint appointment procedure, the German Aeorospace Center e.V. (DLR) and the Faculty of Computer Science of the Ruhr-University Bochum call for applications for the position of University Professor (W3) for AI Safety and Security (f/m/x) The successful candidate will be appointed at the Ruhr-University Bochum as soon as possible with reduced teaching obligations (2 semester hours per week) and will be simultaneously granted leave of absence (J?lich model) to take the post of Director of the Institute for AI Safety and Security (f/m/x) More info at: https://informatik.rub.de/wp-content/uploads/2022/09/Professor-AI-Secutity-and-Privacy.pdf From marcosmrai at gmail.com Mon Sep 19 07:42:59 2022 From: marcosmrai at gmail.com (marcosmrai) Date: Mon, 19 Sep 2022 08:42:59 -0300 Subject: Connectionists: Call for postdoc applications in AI applied in Finance at University of Campinas Message-ID: Dear colleagues, We are looking for a motivated postdoc with an interest in machine learning applied to fair and transparent credit scoring. Formal training in economics is not required; strong ML/AI/Statistics skills are an advantage. More details are attached. We would appreciate it if you could share the job ad with anyone you think might be interested. With many thanks and kind regards, -- Marcos M. Raimundo Institute of Computing, University of Campinas - Brazil Artificial Intelligence Lab. (Recod.ai) Web page: ic.unicamp.br/marcos/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2022-09_PostDoc_Call_FAI.pdf Type: application/pdf Size: 64704 bytes Desc: not available URL: From fzenke at gmail.com Mon Sep 19 05:41:10 2022 From: fzenke at gmail.com (Friedemann Zenke) Date: Mon, 19 Sep 2022 11:41:10 +0200 Subject: Connectionists: SNUFA2022 online meeting reminder -- Spiking Neural Networks as Universal Function Approximators Message-ID: Dear colleagues, We are happy to invite you to SNUFA2022 (https://snufa.net/2022/), your friendly online workshop on spiking neural networks and anything that spikes to compute. The focused workshop takes place on November 9-10, 2022. As usual, it covers topics from comp neuro to neuromorphic engineering and will fill two European afternoons. It comprises four invited talks, eight contributed talks, and a virtual poster session. Registration is free but mandatory. Invited speakers: Charlotte Frenkel (TU Delft), Priya Panda (Yale), Yiota Poirazi (Institute of Molecular Biology and Biotechnology IMBB), Yonghong Tian (Peking University) Abstract submission deadline: Sept 28th. For more details, registration, and submissions, see https://snufa.net/2022/ We are looking forward to seeing you there! On behalf of the organizing committee, Katie Schuman, Timoth?e Masquelier, Dan Goodman, and Friedemann Zenke -- zenkelab.org From xavier.hinaut at inria.fr Mon Sep 19 09:22:47 2022 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Mon, 19 Sep 2022 15:22:47 +0200 Subject: Connectionists: Job: ML Engineer to extend ReservoirPy library for health data (Reservoir Computing) In-Reply-To: References: Message-ID: Last days to apply for this engineer position on ReservoirPy: https://jobs.inria.fr/public/classic/en/offres/2022-05343 Best regards, Xavier Hinaut > Le 6 sept. 2022 ? 12:18, Xavier Hinaut a ?crit : > > We are looking for an engineer for at least one year to work with the open source ReservoirPy library on health data. > You will be working in Bordeaux, France in the Mnemosyne computational neuroscience group https://team.inria.fr/mnemosyne in collaboration with other Bordeaux teams involved in biostatistics and machine learning. > > More info and online application: https://jobs.inria.fr/public/classic/en/offres > > * ReservoirPy > ReservoirPy [1, 2, 3] is a simple user-friendly library based on Python scientific modules. It provides a flexible interface to implement efficient Reservoir Computing (RC) [5] architectures with a particular focus on Echo State Networks (ESN) [4]. Advanced features of ReservoirPy allow to improve computation time efficiency on a simple laptop compared to basic Python implementation. Some of its features are: offline and online training, parallel implementation, sparse matrix computation, fast spectral initialization, advanced learning rules (e.g. Intrinsic Plasticity) etc. It also makes possible to easily create complex architectures with multiple reservoirs (e.g. deep reservoirs), readouts, and complex feedback loops. Moreover, graphical tools are included to easily explore hyperparameters with the help of the hyperopt library. It includes several tutorials exploring exotic architectures and examples of scientific papers reproduction. > > Github: https://github.com/reservoirpy/reservoirpy > Documentation: https://reservoirpy.readthedocs.io > Related projects: https://github.com/reservoirpy > Twitter: https://twitter.com/reservoirpy > > * Deadline: 20th of September 2022 > For informal questions send an email to xavier dot hinaut at inria dot fr. > Online application: https://jobs.inria.fr/public/classic/en/offres > > * Contract > Engineer contract of 1 year, with possibility to extend the contract to more years or to continue in the team as PhD student. > > * Benefits package > - Subsidized meals > - Partial reimbursement of public transport costs > - Possibility of partial teleworking and flexible organization of working hours > - Professional equipment available (videoconferencing, loan of computer equipment, etc.) > - Social, cultural and sports events and activities > - Access to vocational training > - Social security coverage > > [1] Trouvain N, Pedrelli L, Dinh TT, Hinaut X (2020). Reservoirpy: an efficient and user-friendly library to design echo state networks. International Conference on Artificial Neural Networks, 494-505. https://hal.inria.fr/hal-02595026v2/document > [2] Trouvain, N., Rougier, N. P., & Hinaut, X. (2022). Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy. In FROM ANIMALS TO ANIMATS 16: The 16th International Conference on the Simulation of Adaptive Behavior (SAB2022). https://hal.inria.fr/hal-03761440/document > [3] Nathan Trouvain, Xavier Hinaut. reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python. 2022. HAL preprint hal-03699931. https://hal.inria.fr/hal-03699931/document > [4] Jaeger, H., & Haas, H. (2004). Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. science, 304(5667), 78-80. > [5] Luko?evi?ius, M., & Jaeger, H. (2009). Reservoir computing approaches to recurrent neural network training. Computer Science Review, 3(3), 127-149. > > > Xavier Hinaut > Inria Research Scientist > www.xavierhinaut.com -- +33 5 33 51 48 01 > Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne > & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models > & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en > --- > Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Sep 19 08:43:45 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 19 Sep 2022 15:43:45 +0300 Subject: Connectionists: Live e-Lecture by Dr. Sebastian Lapuschkin. : "Towards Actionable XAI", 27 September 2022 17:00-18:00 CEST References: <141c01d8c8cf$64468bc0$2cd3a340$@csd.auth.gr> <00e301d8c9b4$b9e74f70$2db5ee50$@csd.auth.gr> Message-ID: <1a0601d8cc25$75465730$5fd30590$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Dr. Sebastian Lapuschkin , a prominent AI researcher internationally, will deliver the e-lecture: 'Towards Actionable XAI', on Tuesday 27th September 2022 17:00-18:00 CEST (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/97981785191 & Passcode: 148148 Attendance is free. The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) This is the first Fall 2022 lecture from a series of successful lectures by AIDA. These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O'Sullivan, I. Pitas, N. Sebe, J. Stefanowski -------------- next part -------------- An HTML attachment was scrubbed... URL: From causaldyn.neurips22 at gmail.com Mon Sep 19 08:59:24 2022 From: causaldyn.neurips22 at gmail.com (NeurIPS 2022 Causal Dynamics workshop) Date: Mon, 19 Sep 2022 14:59:24 +0200 Subject: Connectionists: [Deadline Extension] [CFP] NeurIPS 2022 workshop "A causal view on dynamical systems" - deadline extended: Sept 26, 23:59 AoE Message-ID: Apologies for cross-posting, we have extended the submission deadline for our workshop:First Workshop "A causal view on dynamical systems" at NeurIPS 2022: https://sites.google.com/view/caudyn2022, December 3, 2022, New Orleans, USA Submission deadline: *September 26, 2022 *11:59 pm AoE Topic and motivation Multivariate time series are a common data modality in many scientific fields, such as physics, genomics, neuroscience or economics. A major goal in these disciplines is to answer causal questions, such as gene regulatory network inference in biology or identifying causal drivers of extreme (compound) weather events in climate science, which requires the inference of causal relationships in dynamical systems. Similar to the static setting, accessibility, feasibility, and ethical considerations complicate direct experimentation and measurement of such relations in time-dependent settings. While certain properties of time series may aid practical causal inference, such as the arrow of time, most identifiability results for causal discovery as well as cause effect estimation are restricted to the static setting (as in structural causal models or potential outcomes). These results typically do not extend to temporally evolving dynamics. Consequently, natural sciences mostly resort to continuous-time dynamical systems such as ODEs and PDEs to describe hypothesized mechanisms underlying the data generating processes. While such models also allow for causal interpretations as well as predictions under hypothetical interventions, data-driven discovery of continuous-time dynamical systems remains a challenging and relatively underexplored area of research. In this workshop, we bring together researchers in dynamical systems, time-series methods, causality, infinite-depth neural networks, and machine learning. We believe a side-by-side discussion of dynamical systems and causal inference (discovery and estimation) will allow one to develop novel approaches, transfer expertise across communities, and enable us to overcome current limitations of each individual perspective. Connections to other scientific disciplines as well as practitioners? view will be highlighted to showcase successful applications of causal inference in dynamical settings. We welcome any contributions on ongoing research at the interface of causality and dynamical systems, including but not limited to: - Causal discovery in time-varying dynamical settings - Identification and estimation of causal effects in dynamical systems - Granger causality - Data-driven discovery of dynamical laws (e.g. symbolic regression) - Deep learning for time-series modeling and prediction (e.g. neural ODEs) - Applications of dynamical modeling and causal inference for scientific discovery Important Dates Paper submission deadline: September 22, 2022 Notification to authors: October 20, 2022 Camera-ready version: TBA Workshop date: December 3, 2022 Submission instructions We invite submissions on on-going research that have not yet been published in a venue with proceedings. While we welcome unfinished work, submissions in this track should contain original ideas, connections, or results. The main body of the submission (including most important figures and tables) must not exceed 9 pages with unlimited additional space for references and supplementary material. Reviewers will be asked to judge the main body of the paper and will not be required to read the supplementary material. Papers should be submitted anonymously to the OpenReview submission portal as a single pdf formatted using the workshop?s latex style file . All papers will undergo double-blind peer review based on which a subset will be invited for a contributed talk; all other accepted papers will be invited to be presented at the poster sessions. The workshop will not have proceedings. *Invited speakers* Vanessa Didelez (University of Bremen) Karl Friston (University College London) Biwei Huang (UCSD) Atalanti Mastakouri (Amazon) Joris Mooij (University of Amsterdam) Cristopher Salvi (Imperial College London) Organizers S?ren Becker (Helmholtz AI) Alexis Bellot (DeepMind) Cecilia Casolo (Helmholtz AI) Niki Kilbertus (TU Munich, Helmholtz AI) Sara Magliacane (University of Amsterdam, MIT-IBM Watson AI Lab) Yuyang (Bernie) Wang (AWS) -------------- next part -------------- An HTML attachment was scrubbed... URL: From t.nguyen19 at griffith.edu.au Mon Sep 19 09:12:53 2022 From: t.nguyen19 at griffith.edu.au (Thanh Tam Nguyen) Date: Mon, 19 Sep 2022 13:12:53 +0000 Subject: Connectionists: IEEE JBHI Journal Special Issue on "Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things" In-Reply-To: References: Message-ID: Sorry for cross postings. ==== IEEE JBHI Journal Special Issue on "Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things" ==== Guest Editor: Zhao Ren, Bj?rn W. Schuller, Bj?rn M. Eskofier, Tam Nguyen, Wolfgang Nejdl https://www.embs.org/jbhi/special-issues/trustworthy-and-collaborative-ai-for-personalised-healthcare-through-edge-of-things/ ----- Aims and Scope ----- The evolution of artificial intelligence (AI) has contributed to advances in personalised healthcare applications, from diagnosis to therapies. From the first generation of healthcare technologies for handling structured data to the current mainstream healthcare technologies (represented by Big Data platforms) for processing unstructured data, the history of AI in healthcare is closely related to the changes in the types and volumes of data we need to deal with. The next generation of healthcare technologies will be designed to deal with Edge-of-Things data, represented by a massive amount of streaming data generated from Internet-of-Things frameworks, Cloud systems, and Edge computing platforms. Benefiting from the encouraging results of AI on Big Data, AI for personalised healthcare through Edge-of-Things will pave the way for intelligent health-related applications on edge devices, such as smart sensors and wearable devices. For example, health data (e.g., images, audio recordings, and biosignals) can be processed by interactive virtual agents for health status reports and suggestions to individuals. Additionally, health data can also be transferred to clinicians for diagnosing diseases, making personalised treatment plans, and monitoring the health status of individuals. However, the variety and complexity of these data require the provision of new AI models and technologies able to process and analyse them in a trustworthy and collaborative way. In this context, the characteristics of trust and collaboration in AI systems are highly valuable for applying AI to personalised healthcare services. Trustworthy and collaborative AI is designed to encourage transparent, reliable, and unbiased AI systems and ensure their adequacy to tackle predictive and prescriptive healthcare problems. In order to be trustworthy and collaborative, such AI systems need to be able to understand what?s wrong, figure out how to overcome the resulting problems, involve human intelligence in the discovery process, and then take what they have learnt to overcome those challenges for the future. This special issue?s intended focus is advancements in all state-of-the-art trustworthy and collaborative AI techniques for personalised healthcare. In this trending area of personalised healthcare, the special issue is expected to promote related research studies and establish a new era of healthcare systems with AI. The special issue will highlight, but not be limited to the following topics: - Trustworthy AI models for health, medicine, biology, and biomedical applications - AI-driven Edge of Things infrastructure for healthcare - Discussion of the trade-off between explainability and performance of machine learning - Development of model-specific or model-agnostic approaches for explaining machine learning models - Generation and detection of adversarial attacks for safety in AI systems for personalised healthcare - Federated Learning for data privacy in AI systems for personalised healthcare - Fairness and bias issues in AI systems for personalised healthcare - Designing integrating virtual agents for healthcare usages - Collaborative robots for healthcare usages ----- Important Dates ----- Deadline for Submission: 30 Sep, 2022 (possible extension to 31 Oct, 2022) First Reviews Due: 08 Nov, 2022 Revised Manuscript Due: 08 Dec, 2022 Final Decision: 20 Jan, 2023 ----- Submission Instructions ----- All manuscripts are to be submitted through ScholarOne https://mc.manuscriptcentral.com/jbhi-embs. When submitting your manuscript please select the article type 'Trustworthy and collaborative AI for personalised healthcare through edge-of-things (S1)'. Please submit your manuscript before the submission deadline. Please ensure you read the Author Guide before writing your manuscript on the Journal's homepage. ----- Guest Editors ----- Zhao Ren, Leibniz Universit?t Hannover, Germany, zren at l3s.de Bj?rn W. Schuller, Imperial College London, UK & Universit?t Augsburg, Germany, schuller at ieee.org Bj?rn M. Eskofier, Friedrich-Alexander-Universit?t Erlangen-N?rnberg, Germany, bjoern.eskofier at fau.de Tam Nguyen, Griffith University, Australia, t.nguyen19 at griffith.edu.au Wolfgang Nejdl, Leibniz Universit?t Hannover, Germany, nejdl at l3s.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonior at usp.br Mon Sep 19 10:57:35 2022 From: antonior at usp.br (Antonio Roque) Date: Mon, 19 Sep 2022 11:57:35 -0300 Subject: Connectionists: Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil Message-ID: *Postdoctoral Fellowships inAcquisition, processing and quantitative analysis of neurobiological data* The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of S?o Paulo (USP), Brazil, and funded by the S?o Paulo Research Foundation (FAPESP), is offering two post-doctoral fellowships for recent PhDs with outstanding research potential. The fellowship will involve collaborations with research teams and laboratories associated with NeuroMat. The research to be developed by the post-doc fellow shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (S?o Paulo or Ribeir?o Preto) or at UNICAMP (Campinas). We seek candidates capable of developing independent research in one of the research lines below: 1. Stochastic modeling of neurobiological data. 2. Acquisition, processing and quantitative analysis of electrophysiological data. 3. Development of neurostimulation protocols. Candidates to the first research line are required to have a strong background in probability theory with an emphasis on stochastic processes. Candidates to the second research line are required to have a strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. Candidates to the third research line are required to have a solid background in biomedical instrumentation or medical physics with previous experience in transcranial magnetic stimulation, neuronavigation and knowledge of robotics and computer programming. The initial appointment is for one year, with a possible extension to up to one year, conditional on research progress. The fellowship is competitive at an international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions: Applicants should complete and submit the application form. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the format required by FAPESP (see fapesp.br/en/6351 for instructions); - List of publications, with links to those available online. - A summary of the research plan for the next year, up to 5 pages in length. This document must explicitly state for which of the three aforementioned profiles the candidate has applied. It should also address how this research plan fits within the framework of the NeuroMat research program. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested; - Any further information deemed relevant to the application. In addition to the above, we require at least two recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl at numec.prp.usp.br. Timetable: Candidates are encouraged to apply at their earliest convenience until October 31, 2022. Appointment is expected to start by December 1st, 2022. The initial period of the position lasts for 12 months, with possible renewals for up to one year. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Postdoctoral fellowships in the amount of R$8.479,20 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship, which should be spent on items directly related to the research activity. More details on FAPESP's postdoctoral fellowships are available at: fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior at usp.br aroquesilva at gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887> -------------- next part -------------- An HTML attachment was scrubbed... URL: From bei.xiao at gmail.com Mon Sep 19 21:09:04 2022 From: bei.xiao at gmail.com (bei.xiao at gmail.com) Date: Mon, 19 Sep 2022 21:09:04 -0400 Subject: Connectionists: Tenure-track faculty position in Cognitive or Social Psychology at American University, Washington DC Message-ID: Dear Colleagues, *American University (AU) Department of Psychology invites applications for a full-time, tenure-track position at the rank of Assistant or Associate Professor beginning August 1, 2023. * We welcome applications from candidates engaged in high-quality research in *Cognitive or Social Psychology.* The University has areas of strategic focus for research in *Data Science and Analytics, Health, Security, Social Equity, and Sustainability.* Priority will be given to outstanding researchers who can c*ontribute meaningfully to one or more of these areas*. Candidates should be effective teachers and must be strongly committed to excellence in scholarly research. In addition to scholarship and teaching, responsibilities will include participation in department, school and university activities. Applicants should have a PhD or an anticipated PhD completion by August 2023. Salary and benefits are competitive. Review of applications *will begin October 1, 2022 *and will continue until the position is filled. Please submit applications via: http://apply.interfolio.com/112471 Include a letter of application, curriculum vitae, three letters of recommendation, recent teaching evaluations (when possible), and copies of recent published papers or working papers. Please contact Professor Arthur Shapiro ( arthurs at american.edu) if you have any questions. American University, located in Washington DC, is a private institution within easy reach of the many centers of government, business, research, and the arts located within the nation?s capital. For more information about American University, visit www.american.edu. The Psychology Department offers both undergraduate and graduate degree programs. Learn more about the College of Arts and sciences at www.cas.american.edu and about the Psychology department at www.american.edu/cas/psychology/. Once more, to apply, please see more information from the following link: http://apply.interfolio.com/112471 Further inquiries please refer to search committee chair: Professor Arthur Shapiro (arthur.shapiro at american.edu) Best regards, Bei -- Bei Xiao, PhD Associate Professor Computer Science & Center for Behavioral Neuroscience American University, Washington DC Homepage: https://sites.google.com/site/beixiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From leslie.perez at pucv.cl Tue Sep 20 00:21:00 2022 From: leslie.perez at pucv.cl (Leslie Angelica Perez Caceres) Date: Tue, 20 Sep 2022 01:21:00 -0300 Subject: Connectionists: 2nd Call for Papers: EvoCOP 2023 - The 23nd European Conference on Evolutionary Computation in Combinatorial Optimisation Message-ID: (Apologies for cross-posting) ************************************************************************************* Second Call for Papers: EvoCOP 2023 - The 23nd European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2023/evocop/ April 12 - 14, 2023 held as part of EvoStar (http://www.evostar.org) Venue: Brno, Czech Republic ** EvoCOP is CORE Rank B ** Submission deadline: November 1, 2022 ************************************************************************************* The 23nd European Conference on Evolutionary Computation in Combinatorial Optimisation is a multidisciplinary conference that brings together researchers working on applications and theory of evolutionary computation methods and other metaheuristics for solving difficult combinatorial optimisation problems appearing in various industrial, economic, and scientific domains. Successfully solved problems include, but are not limited to, multi-objective, uncertain, dynamic and stochastic problems in the context of scheduling, timetabling, network design, transportation and distribution, vehicle routing, stringology, graphs, satisfiability, energy optimisation, cutting, packing, planning and search-based software engineering. The EvoCOP 2023 conference will be held somewhere on Earth, together with EuroGP (the 26th European Conference on Genetic Programming), EvoMUSART (the 12th European conference on evolutionary and biologically inspired music, sound, art and design) and EvoApplications (the 26th European Conference on the Applications of Evolutionary Computation), and a special track on Evolutionary Machine Learning in a joint event collectively known as EvoStar (Evo*). Accepted papers will be published by Springer Nature in the Lecture Notes in Computer Science series. (See https://link.springer.com/conference/evocop for previous proceedings.) Download the CFP in PDF format: https://www.evostar.org/2023/wp-content/uploads/2022/07/evo2022-evocop-flyers-prints-05062022-3.pdf The best regular paper presented at EvoCOP 2023 will be distinguished with a Best Paper Award. EvoCOP conference is ranked B in the CORE 2021 ranking: http://portal.core.edu.au/conf-ranks/2195/ **** Areas of Interest and Contributions **** EvoCOP welcomes submissions in all experimental and theoretical aspects of evolutionary computation and other metaheuristics to combinatorial optimisation problems, including (but not limited to) the following areas: * Applications of metaheuristics to combinatorial optimisation problems * Theoretical developments * Neighbourhoods and efficient algorithms for searching them * Variation operators for stochastic search methods * Constraint-handling techniques * Parallelisation and grid computing * Search space and landscape analyses * Comparisons between different (also exact) methods * Automatic algorithm configuration and design Prominent examples of metaheuristics include (but are not limited to): * Evolutionary algorithms * Estimation of distribution algorithms * Swarm intelligence methods such as ant colony and particle swarm optimisation * Artificial immune systems * Local search methods such as simulated annealing, tabu search, variable neighbourhood search, iterated local search, scatter search and path relinking * Hybrid methods such as memetic algorithms * Matheuristics (hybrids of exact and heuristic methods) * Hyper-heuristics and autonomous search * Surrogate-model-based methods Notice that, by tradition, continuous/numerical optimisation is *not* part of the topics of interest of EvoCOP. Interested authors might consider submitting to other EvoStar conferences such as EvoApplications. **** Submission Details **** Paper submissions must be original and not published elsewhere. The submissions will be peer reviewed by members of the program committee. The reviewing process will be double-blind, please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Page limit: 16 pages Submission link: coming soon The authors of accepted papers will have to improve their paper on the basis of the reviewers? comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference, attend the conference and present the work. **** Important Dates **** Submission deadline: November 1, 2022 EvoStar: April 12-14, 2023 **** EvoCOP Programme Chairs **** Thomas St?tzle Universit? Libre de Bruxelles, Belgium stuetzle at ulb.ac.be Leslie P?rez C?ceres Pontificia Universidad Cat?lica de Valpara?so, Chile leslie.perez at pucv.cl -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.goodhill at wustl.edu Mon Sep 19 12:40:39 2022 From: g.goodhill at wustl.edu (Goodhill, Geoffrey) Date: Mon, 19 Sep 2022 16:40:39 +0000 Subject: Connectionists: Faculty positions at Washington University in St Louis Message-ID: Assistant Professor positions in Theoretical/Computational Neuroscience The Department of Neuroscience at Washington University School of Medicine is currently recruiting investigators with the passion to create knowledge, pursue bold visions, and challenge canonical thinking as we expand into our new 600,000 sq ft purpose-built neurosciences research building. We are now seeking tenure-track investigators at the level of Assistant Professor to develop innovative research programs in Theoretical/Computational Neuroscience. Applicants should have a strong background in physics, mathematics, engineering or computer science, or any related field and hold a PhD. The successful candidates will join a thriving theoretical/computational neuroscience community at Washington University. We are particularly interested in researchers who are both creative and collaborative. The Department of Neuroscience has world-class research strengths in systems, circuits and behavior, cellular and molecular neuroscience using a variety of animal models including worms, flies, zebrafish, rodents and non-human primates. The Department?s focus on fundamental neuroscience, outstanding research support facilities, and the depth, breadth and collegiality of our culture provide an exceptional environment to launch your independent research program. Washington University is an Equal Opportunity Employer. Our Department highly values all our researchers, staff and trainees, and we provide an inclusive environment for people from diverse backgrounds and experiences. We are dedicated to advancing diversity and inclusion, core values shared by the School of Medicine and the entire university. Facilitated by the Department of Neuroscience liaison to the Office of Diversity, Equity and Inclusion at the Washington University School of Medicine, we are enabling initiatives that promote diversity and ensure that the department continues to be a welcoming place for everyone. For application instructions please see https://neuroscience.wustl.edu/assistant-professor-theoretical-computational-neuroscience Professor Geoffrey J Goodhill Departments of Neuroscience, Developmental Biology, Biomedical Engineering, and Electrical and Systems Engineering Washington University in St Louis St. Louis, MO 63110 g.goodhill at wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimo.srt at gmail.com Tue Sep 20 05:34:21 2022 From: massimo.srt at gmail.com (Massimo Sartori) Date: Tue, 20 Sep 2022 11:34:21 +0200 Subject: Connectionists: [jobs] Assistant Professor Opening at University of Twente: AI in Biomechanics and Robotics Message-ID: The Department of Biomechanical Engineering seeks applicants for a position at the Assistant Professor Level in the field of AI in Biomechanics and Robotics, with an expected start date of January, 2023. *Application: *please, read more about the opening and apply via the link below no later than *September 30th, 2022*. *We offer* an ambitious full-time position for 1 year with the prospect of a permanent position after a positive evaluation. We offer a start-up package that includes funding for the recruitment of 1 PhD to help in kickstarting your research. You will have access to extraordinary research facilities and working environment. https://utwentecareers.nl/en/vacancies/762/assistant-professor-artificial-intelligence-in-biomechanics-and-robotics/ *The University of Twente*. We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which leads change, innovation and progress in society. We have a strong focus on personal development and researchers are given scope for carrying out groundbreaking science. *The Chair of Neuromechanical Engineering. *We interface robotic technologies with the neuromuscular system to enhance movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio-inspired assistive technologies. Our work is facilitated by the University's TechMed Centre (https://www.utwente.nl/en/techmed/), the Robotics Center ( https://www.utwente.nl/en/robotics/robotics-centre/) and the Digital Society Institute (https://www.utwente.nl/nl/digital-society/). Please, also check out our pages: - Lab: https://bit.ly/NMLab - YouTube: https://bit.ly/NMLTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Sep 20 06:40:58 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 20 Sep 2022 13:40:58 +0300 Subject: Connectionists: Debate future AI grand challenges in the free hybrid "AI Mellontology (futurology) Symposium 2022" on the 23rd September 2022 References: <025701d8c0fc$fcf49a90$f6ddcfb0$@csd.auth.gr> <000201d8c15a$6cb665e0$462331a0$@csd.auth.gr> <1c8a01d8cc2d$2401ec10$6c05c430$@csd.auth.gr> <016501d8cc2f$eded49f0$c9c7ddd0$@csd.auth.gr> Message-ID: <1e4c01d8ccdd$78c450c0$6a4cf240$@csd.auth.gr> Dear AI researcher, scientist, engineer, student, enthusiast, Do you want to debate important AI challenges, like the following ones: * What is the future of AI Science and Engineering? * How can we substantiate AI PhD studies excellence? * How can we develop AI systems that can interact with each other or with humans in an understandable and meaningful manner? * How can we address human ? AI symbiosis? * Which are the research trends in understanding the brain, by debating parallels between systems theory and cortical functions? * How can we design and evaluate AI-based recommender systems in media to address serious societal challenges? You are welcome to attend the free "AI Mellontology Symposium" on 23 September 2022 to debate futuristic topics on AI research and social/industrial impact! The event is organized by the Aristotle University of Thessaloniki and CERTH and it is sponsored by AI4Media and ELISE . Symposium page The symposium program, panel topic descriptions, and registration links can be found at http://icarus.csd.auth.gr/ai-mellontology-e-symposium-2022/ Venue & participation The 2022 AI Mellontology Symposium will take place in the Meteoroscopy Auditorium, AUTH Campus, Aristotle University of Thessaloniki, Greece. Hybrid (local and remote) participation is foreseen. Registration is required - you can register here . Remote participation is free. For remote participants, the Zoom link is https://authgr.zoom.us/s/97284234003 & the Passcode is 205540. There is a very small registration fee (20 ?) for in person participation or for remote participation (in case a participation certificate is requested) for people outside the AI4Media consortium. Sponsorship Horizon2020 AI flagship R&I projects AI4Media and ELISE , together with the International AI Doctoral Academy (AIDA) joined forces in sponsoring this event. Format There will be 7 sessions (4 in the morning and 3 in the afternoon) where participants will debate the ?AI future ?, namely hot AI research issues with diverse scientific, societal, legal, ethical, industrial and economic aspects. The 7 sessions will focus on the following topics: * AI-based recommender systems: social and legal perspectives * Collaborative AI * Human ? AI Symbiosis * AI studies: AI PhD Excellence. AI Curriculum. AI Science and Engineering? * Latent brain * How AI meets human in media houses? Recommendation systems and Media * AI Act: key elements and state of play Session panelists will make their short statements during each panel to initiate discussion by the audience. Discussion will be informal, hopefully lively and hot, aiming to debate contrasting views (thesis-antithesis) on each issue. You are welcome to a) watch panelist and other views and voice your own views on any panel topic, by using the ?Voice your views? area, b) propose your own AI grand challenge, and c) actively participate in each panel discussion. The more innovative, futuristic, even provocative your views are, the better. The discussion will be conducted though in a scientific way and in good faith. The entire discussion and contributions will be compiled later on in a public ?AI research white paper? that will be used to guide R&I anywhere in the world, notably in the framework of AIDA and Horizon2020 ICT48 R&I projects. For any questions, you can contact the Symposium secretary Mrs. Ioanna Koroni koroniioanna at csd.auth.gr (for organizational matters) or Prof. Ioannis Pitas pitas at csd.auth.gr (for scientific matters). On behalf of the Organizing Committee Prof. Ioannis Pitas AI Mellontology Symposium chair Virus-free. www.avast.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From P.Turrini at warwick.ac.uk Tue Sep 20 09:08:34 2022 From: P.Turrini at warwick.ac.uk (Turrini, Paolo) Date: Tue, 20 Sep 2022 13:08:34 +0000 Subject: Connectionists: Victor Lesser Dissertation Award: call for nominations In-Reply-To: References: Message-ID: Call for 2022 Victor Lesser Distinguished Dissertation Award IFAAMAS, the International Foundation for Autonomous Agents and Multiagent Systems is pleased to announce the call for 2022 Victor Lesser Distinguished Dissertation Award. This award is named after Professor Victor Lesser, a long-standing member of the AAMAS community who has supervised a large number of outstanding PhD students in the area. It is awarded for dissertations written as part of a PhD defended in the specified period, nominated by the supervisor (with supporting references), which show originality, significance and impact, and are supported by high quality publications. Nominations are invited for the award which is sponsored by IFAAMAS and will be presented at AAMAS-2023. Eligible doctoral dissertations are those defended between November 1, 2021 and October 1, 2022 in the area of Autonomous Agents or Multiagent Systems. This award includes a certificate and a 1500 EUR payment. Important Dates Submission deadline: Oct 15th, 2022 Selection procedure: The selection of the dissertation will be based on the originality, significance, and impact of the work. Evidence of such impact include publications at highly selective conferences and journals in the field, with due importance given to the AAMAS conference series and JAAMAS. Research output that resulted primarily from the student?s initiative will be considered more favourably. The selection committee will be the final arbiter in the decision process. The selection committee might also decide to consult external assessors and reserves the right to not award the prize if the nominations do not meet the expected quality level. The dissertation must be nominated by the thesis supervisor and must be supported by the following documents, all should be delivered via the link below by Oct 15th, 2022: * A link to a PDF file of the dissertation. If the dissertation is not written in English, the nomination must include an accessible link to a substantial manuscript in English, with the nominee as the first author, published in a peer-reviewed journal or conference. * * A PDF that contains a list of publications that have arisen from the dissertation, with links to the published papers. * * A recommendation from the dissertation supervisor, on departmental letterhead, nominating the dissertation for the IFAAMAS-22 Victor Lesser Distinguished Dissertation Award. The recommendation should explain the contribution of the dissertation to the field of autonomous agents and multiagent systems, argue the merit and possible future impact of the work, and highlight, where relevant, how the work resulted from the initiative of the student. Finally, this document should certify the eligibility of the PhD by asserting that the PhD was defended successfully between November 1, 2021 and October 1, 2022. * * The names, email addresses, and affiliations of at least one and at most three referees, familiar with the research of the candidate and experts in the pertinent research area, who will directly email their recommendations for the candidate to the chair of the selection committee (Paolo Turrini, p.turrini at warwick.ac.uk). A reference letter should be no more than 500 words in length and should be on official letterhead, signed and emailed as a PDF file. Note: it is the responsibility of the dissertation supervisor to contact the referees and ensure that letters (max 500 words, signed, and on letterhead) are submitted by the deadline. Though the nomination is to be submitted by the nominee?s dissertation supervisor, it is required that the nominee has consented that the dissertation be considered for this award and, if selected for the award, commits to attend the AAMAS-2023 conference, where they will receive the award and will give a presentation in a special session of the conference on the work contained in the dissertation. The cost of attending the conference is not covered by the award. Submission Link: tinyurl.com/VictorLesserDA22 Submission deadline: Oct 15th, 2022 For questions, please contact the chair of the selection committee, Paolo Turrini (p.turrini at warwick.ac.uk). -------------- next part -------------- An HTML attachment was scrubbed... URL: From georg.dorffner at meduniwien.ac.at Tue Sep 20 10:02:59 2022 From: georg.dorffner at meduniwien.ac.at (Georg Dorffner) Date: Tue, 20 Sep 2022 16:02:59 +0200 Subject: Connectionists: PhD position: Machine Learning in [Bio]Medicine, Medical University of Vienna Message-ID: <7350562e-f64d-fdeb-8e98-d5ef174a93c1@meduniwien.ac.at> PhD Student: Machine Learning in [Bio]Medicine Medical University of Vienna Institut f?r Artificial Intelligence Vienna, Austria We are recruiting an ambitious PhD student who wants to pursue a scientific career in machine learning, with applications in precision medicine, high-throughput biology, synthetic biology, or cell therapy. The successful candidate will be based at the Institute of Artificial Intelligence at the Medical University of Vienna, with ample opportunities to integrate into the national and European research landscape, including the European Lab for Learning and Intelligent Systems (ELLIS). This call is open to students who are about to finish or recently finished their undergraduate degree in any field of computational sciences, as well as to candidates with a background in biology/medicine and strong quantitative skills. The Goal Machine learning is transforming medicine, for example enabling physicians to incorporate vast amounts of data and knowledge into each of their clinical decisions. Machine learning also advances our understanding of the biology that underlies human diseases, with the future perspectives of identifying the key molecular mechanisms in each individual patient and devising personalized therapies. Researchers at the Medical University of Vienna, together with the CeMM Research Center for Molecular Medicine and the Austrian Academy of Sciences, are working to establish an ambitious research program focusing on ?Machine Learning in [Bio]Medicine?, with three pillars: (i) methodological research in machine learning, e.g., focusing on interpretable deep learning, causal modeling, federated machine learning, and/or time series analysis; (ii) proof-of-concept applications in biology and medicine, including personalized medicine and systems biology; (iii) dissemination and impact through sustainable clinical applications, contribution to international consortia, creation of startup companies, and a commitment to research-centric teaching and public outreach. The successful candidate will contribute creatively and proactively to one or more of these directions. Please send your application to sec-ai at meduniwien.ac.at. The application e-mail should include a cover letter, CV, and academic transcripts, ideally combined into a single PDF document. Any application received by 5 November 2022 will be considered. Start dates are very flexible. Desired skills and experience The Candidate We are looking for candidates who want to pursue cutting-edge research in the wider field of ?Machine Learning in [Bio]Medicine?. A typical background would be a Bachelor and/or Master in machine learning, computer science, statistics, bioinformatics or in another quantitative field, ideally combining methodologically and applied research (in any field). We are also open to candidates with a background in biology, medicine, or a related field if they have strong quantitative skills and a keen interest to engage in machine learning research. The position is fully funded for four years and includes ample opportunities for advancing a scientific career, developing academic leadership skills, engaging in international collaborations, and contributing to the advancement of biology/medicine through computational research. Through the ELLIS network and other consortia, there is also the option to pursue a research stay abroad in a leading machine learning lab with complementary expertise. The Host Institution The Medical University of Vienna is Europe?s largest medical school and one of the oldest in the world. It was founded in 1365 as the medical faculty of the University of Vienna, and it operates as an autonomous university since 2004. Physicians at the Medical University treat ~95,000 patients per year as inpatients and ~500,000 as outpatients, creating major opportunities for data-driven research. The Medical University has a dedicated data science department (CeMSIIS), with research in statistics, medical informatics, complexity sciences, and other areas. In this department, the Institute of Artificial Intelligence (AI Institute) seeks to advance biomedical research and clinical practice through methods development, applications, and teaching in machine learning and artificial intelligence. The AI Institute is directed by Christoph Bock (https://tinyurl.com/chrbock), who is Professor of [Bio]Medical Informatics at the Medical University of Vienna and Principal Investigator at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences. He is a member of the Human Cell Atlas, fellow of ELLIS, and recipient of important research awards (Otto Hahn Medal, ERC Starting Grant, ERC Consolidator Grant, Overton Prize, Erwin Schr?dinger Prize). The AI Institute currently hosts two additional group leaders and their research groups: Georg Dorffner (https://tinyurl.com/gdorffner), who is the vice president of the Austrian Society for Artificial Intelligence, and Matthias Samwald (https://tinyurl.com/samwald), who coordinates a major EU project that implements computational methods in clinical practice. Moreover, the Medical University comprises a rapidly growing cluster of machine learning researchers in areas spanning radiology, dermatology, bioinformatics, and synthetic biology. From demian.battaglia at univ-amu.fr Tue Sep 20 11:59:51 2022 From: demian.battaglia at univ-amu.fr (BATTAGLIA Demian) Date: Tue, 20 Sep 2022 15:59:51 +0000 Subject: Connectionists: Brain Criticality Meeting 2022 Message-ID: <807d71a5b20141ad9d10a4498e5f23cf@univ-amu.fr> We are happy to announce that the next conference on ?Criticality in Neural Systems 2022: Collective Behavior, Synchronization, and Complexity? will take place at the Porter Neuroscience Research Center (National Institute of Health, Bethesda, MD, USA) from Nov. 7 ? 9th, 2022 (shortly before the SFN Meeting, San Diego) The conference will be held in a hybrid format, both in presence at NIH Bethesda and via Zoom. Presentations by the invited speakers, with ample time for discussions, including with online participants, will be complemented by a poster session (in presence and online) and by a selection of contributed spotlight presentations. Keeping line with previous editions of the Brain Criticality conferences series, this conference will present the latest experimental and theoretical advancements in the study of critical phenomena in brain activity and their functional relevance. While preserving emphasis on criticality, this edition will feature as well communications about general collective behavior and dynamic complexity in the brain (and other biological systems). REGISTRATION IS OPEN AND FREE ON https://braincriticality.org/ Deadline for registration in presence: October 9th Deadline for virtual registration: October 23rd Deadline for abstract submission (with spotlight oral preference): October 9th Deadline for abstract submission (poster only): October 23rd Confirmed Speakers Ad Aertsen (Freiburg, Germany) Dante Chialvo (Buenos Aires, Argentina) Karin Dahmen (Urbana-Champaign, IL) Irene Giardina (Rome, Italy) Michelle Girvan (College Park, MD) Moritz Helias (J?lich, Germany) Henrik Jensen (London, UK) Arvind Kumar (Stockholm, Sweden) Anna Levina (T?bingen, Germany) Klaus Linkenkaer-Hansen (Amsterdam, the Netherlands) Simona Olmi (Sesto Fiorentino, Italy) Orit Peleg (Boulder, CO) Pawel Romanczuk (Berlin, Germany) Woodrow Shew (Fayetteville, AR) James Shine (Sidney, Australia) Samir Suweis (Padova, Italy) Enzo Tagliazucchi (Buenos Aires, Argentina) Bradley Voytek (La Jolla, CA) Ralf Wessel (St Louis, MO) Changsong Zhou (Hong Kong, Popular Republic of China) Organizers Dietmar Plenz (Bethesda, MD) Lucilla de Arcangelis (Caserta, Italy) Miguel Angel Munoz (Granada, Spain) Mauro Copelli (Recife, Brazil) Demian Battaglia (Marseille & Strasbourg, France) For more information visit our website https://braincriticality.org/ or contact us over email. -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at manchester.ac.uk Tue Sep 20 11:39:32 2022 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Tue, 20 Sep 2022 15:39:32 +0000 Subject: Connectionists: Still some days to apply for Postdoc and Research Fellow positions in probabilistic machine learning in Univ Manchester, UK Message-ID: Manchester Centre for AI Fundamentals has positions for Postdocs and Research Fellows. DL Sept 30 (Res Fellow) We have hired a number of new researchers and academics / faculty members, and the next round is on-going. I am hiring researchers to my team working on probabilistic machine learning. Keywords include: Bayesian inference, reinforcement learning and inverse reinforcement learning, automatic experimental design, multi-agent learning, Bayesian deep learning, amortized inference, human-in-the-loop learning, user modelling, collaborative AI, privacy-preserving learning, likelihood-free inference. Different researchers work on different but related subsets of these. The work is funded by UKRI Turing AI World-Leading Researcher Fellowship programme, on ?Steering AI in Experimental Design and Decision-Making". The team is based in the new Manchester Centre for AI Fundamentals, which builds on the new ELLIS Unit Manchester and the Alan Turing Institute. In addition to these outstanding AI and Machine Learning collaboration opportunities, we collaborate with excellent teams in other fields, in both academia and industry, which give application opportunities for those interested: personalized medicine, especially for cancer and remote medicine; synthetic biology; digital twins more generally, etc. Additionally, the university is hiring a Full Professor of Artificial Intelligence in Biology, Medicine and Health ( https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=23227 ) and will soon open one more faculty position in Machine Learnng. We are also continuously open to proposals for excellent PhD student candidates and Research Software Engineers. Now is the time to join the University of Manchester when it is significantly boosting its activities in Machine Learning! More info: Deadline Research Fellows: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=21859 Postdocs: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=22431 PhD Students (funded; both UK and international applicants welcome): https://www.cs.manchester.ac.uk/study/postgraduate-research/research-projects/description/?projectid=33392 All positions: https://www.idsai.manchester.ac.uk/research/centre-for-ai-fundamentals/news-and-opportunities/ (new positions will open regularly) Background about this research program: https://www.ukri.org/news/global-leaders-named-as-turing-ai-world-leading-researcher-fellows/ https://www.manchester.ac.uk/discover/news/new-human-ai-research-teams-could-be-the-future-of-research-meeting-future-societal-challenges/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From nogazs at mit.edu Tue Sep 20 19:45:36 2022 From: nogazs at mit.edu (Noga Zaslavsky) Date: Tue, 20 Sep 2022 19:45:36 -0400 Subject: Connectionists: [Deadline Extension] NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems Message-ID: *Call for papers: NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems* - *Submission deadline: September 29, 2022* - https://sites.google.com/view/infocog-neurips2022 We are thrilled to invite submissions to the NeurIPS 2022 workshop on Information-Theoretic Principles in Cognitive Systems. This interdisciplinary workshop aims to explore new avenues for progress toward an integrative computational theory of human and artificial cognition, by leveraging information-theoretic principles as bridges between various cognitive functions and neural representations. To this end, we aim to bring together researchers from machine learning, cognitive science, neuroscience, linguistics, economics, and other fields, who are interested in information-theoretic approaches to cognitive systems. *Submissions:* We invited short paper submissions (up to 4 pages), describing either unpublished work, including preliminary work in progress, or work that has recently been published at non machine learning venues. The workshop is considered a non-archival venue, which means that acceptance should not interfere with future submissions to journals or conference proceedings. A subset of accepted papers will be invited for a full-length article submission to a special issue of Open Mind , dedicated to the topic of the workshop. Examples of specific topics of interest include but are not limited to: - Novel information-theoretic approaches to cognitive functions (e.g., perception, decision making, language, social reasoning, etc.) - Machine learning tools for scaling up information-theoretic models of cognition - Applications of information theory to training human-aligned artificial agents, i.e., agents that can better communicate and cooperate with humans - Challenges and limitations of the use of information theory in studying cognitive systems The full call for papers and submission guidelines can be found here: https://sites.google.com/view/infocog-neurips2022/call-for-papers *Funding and participation:* The workshop will be hybrid, welcoming both virtual and in-person participants, as part of NeurIPS 2022 in New Orleans. To facilitate in-person participation, we expect to have a limited amount of funding to support a few selected presenters of accepted papers. *Important dates* - Submission deadline: September 29, 2022 (anywhere on earth) - Author notification: October 15, 2022 - Workshop date: December 3, 2022 Questions and correspondence pertaining to the workshop should be addressed to infocog.neurips at gmail.com We hope to see you all at the workshop! Best regards, The Organizers Noga Zaslavsky, MIT Mycal Tucker, MIT Irina Higgins, DeepMind Sarah Marzen, Claremont Stephanie Palmer, University of Chicago Sam Gershman, Harvard -------------- next part -------------- An HTML attachment was scrubbed... URL: From Andrea.Hasenstaub at ucsf.edu Tue Sep 20 14:31:28 2022 From: Andrea.Hasenstaub at ucsf.edu (Hasenstaub, Andrea) Date: Tue, 20 Sep 2022 18:31:28 +0000 Subject: Connectionists: Postdoctoral positions in physiological and network analyses of Alzheimer's mouse models Message-ID: Postdoctoral position: The role of hearing loss in cognitive impairment and Alzheimer?s disease pathology A full-time post-doctoral position is available in the Coleman Memorial Laboratory of at the University of California, San Francisco. The appointment is funded by a newly awarded NIH R01 grant to study potential contributions of hearing loss to cognitive impairment using a mouse model of Alzheimer?s disease. The project combines computational analyses of cell and network interactions with large-scale in vivo physiology, brain-wide histological analysis, and behavioral training. The principal investigator for the project is Dr. James Bigelow, with co-investigators Drs. Andrea Hasenstaub and Christoph Kirst. To apply, please send a CV and brief statement of interest to james.bigelow at ucsf.edu. Applications will be considered on a rolling basis. Minimum qualifications: * PhD in neuroscience, physiology, cell biology, biomedical engineering, or related field. * Strong written and oral communication skills demonstrated by peer-reviewed publications and conference presentations. * Interest and ability to compete for extramural funding. Preference will be given to candidates with experience in one or more of the following areas: * In vivo physiology, especially acute and/or chronic recordings using multichannel electrode arrays (e.g., Neuropixels). Specific experience within the auditory cortex or hippocampal complex is desirable. * Histological techniques, especially tissue clearing and brain-wide histological analysis using iDISCO or related pipelines. * Behavioral assessment in Alzheimer?s model mice (e.g., spatial learning and memory) * Hearing assessment via auditory brainstem response measurements. * Computational techniques for assessing functional interaction among neurons within and between brain regions (e.g., Granger causality, ensemble detection). * Analyzing large, complex datasets using MATLAB or Python. -------------- next part -------------- An HTML attachment was scrubbed... URL: From gros at itp.uni-frankfurt.de Wed Sep 21 03:26:38 2022 From: gros at itp.uni-frankfurt.de (Claudius Gros) Date: Wed, 21 Sep 2022 09:26:38 +0200 Subject: Connectionists: Open PhD position at the Goethe University Frankfurt / Germany Message-ID: <41c2c-632abc80-71-cf087d0@238883589> I would like to brink your attention our PhD-program in Computational Neurosciences / Complex Dynamical Systems at the Institute of Theoretical Physics, Goethe University Frankfurt, Germany Field(s): computational neurosciences, complex systems, theory neural networks, simulated robotics, game theory, dynamical systems. Application deadline: October 30, 2022 Contact: Prof. Claudius Gros, cgr[@]itp.uni-frankfurt.de We are developing new models and generative principles for complex systems, using a range of toolsets from dynamical systems theory, game theory, and the neurosciences. Examples are self-generated gaits for animals and robotic systems, criticality in autonomous networks, as well as investigations of the 'tragedy of the commons'. Several subjects are available for the announced PhD thesis, depending on the background of the successful candidate. The work will include analytical investigations and numerical simulations. The candidate must have a Diploma/Master in physics, an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences and dynamical systems theory is expected. The degree of scientific research experience needs to be on the level of a German Diploma/Master The appointment will start late 2022 / early 2023, for up to three years. Interested applicants must submit a curriculum vitae, a list of publications and copies of the academic record. Name, affiliation and email of one or more potential references are to be given. Claudius Gros http://www.itp.uni-frankfurt.de/~gros ------------------------------------- The Johann Wolfgang Goethe University Frankfurt am Main is with over 46,000 students and around 4,600 employees one of the largest universities in Germany. Founded in 1914 by Frankfurt citizens and again in the legal form of a foundation since 2008, the Goethe University has a high level of independence, modernity and professional diversity. As a comprehensive university, the Goethe University Frankfurt offers and has 100 degree programs on five campuses in a total of 16 departments an outstanding research strength. The time limit for academic staff is based on the provisions of the Academic Term Contract Act in conjunction with the Hessian Higher Education Act. The university advocates equal rights for women and men and therefore encourages women to apply. Disabled applicants with equal qualification will be given preferential consideration. ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ### From a.villavicencio at sheffield.ac.uk Wed Sep 21 09:59:43 2022 From: a.villavicencio at sheffield.ac.uk (Aline Villavicencio) Date: Wed, 21 Sep 2022 14:59:43 +0100 Subject: Connectionists: Research Associate (post-doc) position at the University of Sheffield (deadline: October 8, 2022) Message-ID: ---------- Postdoctoral researcher in Machine Learning applied to Natural Language Processing EPSRC Project: Modeling Idiomaticity in Human and Artificial Language Processing (MIA) Duration: Fixed-term with an end date of 30 November 2023. Full-time, although part-time would be considered (working commitment and pattern to be agreed) Application Deadline: October 08,2022 Application link: https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-for-natural-language-processing-nlp The University of Sheffield (UK) The University of Sheffield invites applications for a postdoctoral researcher in Machine Learning applied to Natural Language Processing position, which is part of the EPSRC project on MIA: Modeling Idiomaticity in Human and Artificial Language Processing, a collaboration led by Prof. Aline Villavicencio, Dr. Carolina Scarton, and Prof. Anna Korhonen. We are looking to make an appointment as soon as possible after the deadline. The initial appointment will be until November 2023. The position is remunerated according to Grade 7.3 pay scale:?35,333 per annum. The responsibility of the postdoctoral researcher is to research strategies for more transparent machine learning models to generate accurate cross-lingual representations for idiomatic language, as well as to contribute to the design and development of resources and evaluation of downstream tasks, like machine translation. The researcher will also collaborate with the University of Cambridge (UK) and the Aix Marseille University (France), partners in this project. Furthermore, The ideal candidate will have: - A PhD in Machine Learning/Natural Language Processing or related field; - A strong publication record commensurate with career stage; - Expertise in machine learning (applied to NLP), with experience in the analysis and development of classical and deep learning models; - Experience in using libraries for NLP and deep learning, such as Tensorflow and Keras; - Experience in data annotation, data collection, and creating new benchmark datasets for evaluation; - A willingness to further improve methods skills and to transfer knowledge to doctoral researchers and student assistants. Expertise in at least one of the following areas is advantageous but not required: - Track record in ML/NLP methods for developing word representation models; - Knowledge of machine translation models. MIA project: MIA is part of the EPSRC call for Responsible NLP for Intelligent Interfaces. In MIA, we will develop idiomatically-aware word/phrase representation models with the ability to process idiomatic (non-literal) language, by incorporating clues that are linguistically-motivated and cognitively-inspired by human processing data. Equipping natural language processing (NLP) models with the ability to process idiomatic expressions is important for obtaining more accurate representations that can lead to gains in downstream tasks, such as machine translation (MT) and text simplification (TS). MIA targets a crucial limitation in standard NLP models, as idiomaticity is part of human communication, with potential benefits to applications that include natural language interfaces, like conversational agents, question answering and information retrieval systems. Host institution: The project is hosted by the Department of Computer Science at the University of Sheffield, a leading international center for research in the UK. We are ranked in the top five for research excellence as part of the 2014 Research Excellence Framework, with 92% of our research outputs being world-leading or internationally-excellent. Our research environment is the best in the country (as measured by the 4* and 3* REF environment score). The NLP and Speech and Hearing groups have over 60 academics, maintaining an active program of seminars, with exceptional facilities for research, and ample opportunities for collaboration. It is one of the largest and most successful NLP groups in Europe, with multiple worldwide collaborations. Sheffield is a vibrant city with a rich cultural life, with a large number of parks and the Peak District just nearby, perfect for outdoor activities and a high quality of life. Applications must be submitted using the University of Sheffield system. More information can be found here: https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-for-natural-language-processing-nlp The University of Sheffield is an equal opportunity employer. Applicants from underrepresented minorities are highly encouraged to apply. Remote working arrangements will be discussed upon request. The Department of Computer Science holds a Silver Athena SWAN award, in recognition of our commitment to equality and diversity. Application Deadline: October 08, 2022 For informal enquiries about this job and the recruiting department, contact: Professor Aline Villavicencio on <>a.villavicencio at sheffield.ac.uk . For administration queries and details on the application process, contact the lead recruiter: Renata Goddard on <>com-researchrecruitment at sheffield.ac.uk . For all online application system queries and support, visit: www.sheffield.ac.uk/jobs/applying ---------------------------------------------------- Prof. Aline Villavicencio Chair in Natural Language Processing Department of Computer Science, University of Sheffield https://sites.google.com/view/alinev https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Wed Sep 21 15:15:35 2022 From: sebastien.destercke at hds.utc.fr (Sebastien Destercke) Date: Wed, 21 Sep 2022 21:15:35 +0200 Subject: Connectionists: Third SIPTA seminar: 27th September, at 15:00 CEST, Peter Grunwald talking about "E is the new P" In-Reply-To: References: Message-ID: <51E5DB37-A54D-470C-BEE2-F3DBA8FBCB22@hds.utc.fr> *** please disseminate to whomever may be interested *** Dear colleagues, We are delighted to announce our third SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. For this third seminar, we are very happy to have Peter Grunwald as our speaker. Peter Grunwald currently heads the machine learning group at CWI in Amsterdam, and has made many core contribution to statistics and machine learning over the years, including a book on Minimum Description Length Principle, as well as contributions to imprecise probabilistic reasoning as well as safe statistical inferences. On the 27th September, at 15:00 CEST (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "E is the new P?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 27th September, at 15:00 CEST, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is now online at https://www.youtube.com/channel/UCPER8Dfil66KZCYlsK86XCQ/featured. See you at the seminar! S?bastien, Enrique and Jasper -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1645 bytes Desc: not available URL: From fasoto at fiu.edu Thu Sep 22 01:51:33 2022 From: fasoto at fiu.edu (Fabian Soto) Date: Thu, 22 Sep 2022 05:51:33 +0000 Subject: Connectionists: Call for posters: Math Psych at Psychonomics 2022 Message-ID: Dear Colleagues: We are now accepting submissions for poster presentations at SMP at Psychonomics, the pre-meeting of the Society for Mathematical Psychology at the Annual Meeting of the Psychonomic Society that will be held on November 17. Abstracts are due October 14th and must be at most 150 words. Please submit abstracts by email to symposium at mathpsych.org. Decision emails will be send promptly after the deadline. Our theme for the invited talks this year is Computational Psychiatry: How Can Mathematical Psychology Contribute To This Emerging Field? Confirmed speakers include: Bilal Bari (MGH / McLean Hospital) Andra Geana (Brown University) Frederike Petzscher (Brown University) Albert Powers (Yale University) Michael Lee (UC Irvine) While we encourage poster submissions related to the theme (i.e., clinical applications of mathematical psychology), we welcome submissions relating to any topic within mathematical psychology. Mathematical psychology is broadly defined to include work of a theoretical character that uses mathematical methods, formal logic, or computer simulation. The Psychonomic Society meeting, and hence our symposium, will be in-person this year. The invited talks and discussion will be scheduled during the morning, and the poster presentations will be in the early afternoon. Please email us at symposium at mathpsych.org or fasoto at fiu.edu with any questions. Best, Fabian Soto -- Fabian A. Soto Associate Professor Department of Psychology Florida International University Modesto A. Maidique Campus 11200 SW 8th St, AHC4 460 Miami, FL 33199 Phone: 305-348-8423 Fax: 305-348-6670 Email: fasoto at fiu.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastien.destercke at hds.utc.fr Thu Sep 22 02:52:02 2022 From: sebastien.destercke at hds.utc.fr (Sebastien Destercke) Date: Thu, 22 Sep 2022 08:52:02 +0200 Subject: Connectionists: ERRATUM Third SIPTA seminar: 29th September (Thursday), NOT 27th In-Reply-To: <51E5DB37-A54D-470C-BEE2-F3DBA8FBCB22@hds.utc.fr> References: <51E5DB37-A54D-470C-BEE2-F3DBA8FBCB22@hds.utc.fr> Message-ID: Dear colleagues, In my rush to announce the seminar and due to my impatience to hear it, I made a small mistake: it is on the 29th on Thursday, not the 27th. Best regards S?bastien -- ==================================== Sebastien Destercke, Ph. D. CNRS researcher in computer science. Universit? de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Avenue de Landshut F-60205 Compiegne Cedex FRANCE Tel: +33 (0)3 44 23 79 85 Fax: +33 (0)3 44 23 44 77 ==================================== > On 21 Sep 2022, at 21:15, Sebastien Destercke wrote: > > > *** please disseminate to whomever may be interested *** > > Dear colleagues, > > We are delighted to announce our third SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. > > For this third seminar, we are very happy to have Peter Grunwald as our speaker. Peter Grunwald currently heads the machine learning group at CWI in Amsterdam, and has made many core contribution to statistics and machine learning over the years, including a book on Minimum Description Length Principle, as well as contributions to imprecise probabilistic reasoning as well as safe statistical inferences. > > On the 27th September, at 15:00 CEST (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "E is the new P?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 27th September, at 15:00 CEST, and join us for the occasion. > > And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is now online at https://www.youtube.com/channel/UCPER8Dfil66KZCYlsK86XCQ/featured. > > See you at the seminar! > > S?bastien, Enrique and Jasper -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1645 bytes Desc: not available URL: From jttkim at googlemail.com Thu Sep 22 09:05:16 2022 From: jttkim at googlemail.com (Jan T Kim) Date: Thu, 22 Sep 2022 14:05:16 +0100 Subject: Connectionists: PhD project: Information Theoretic Approaches to Gene Regulatory Networks, Development, Evolution, and Sustainability Message-ID: Dear All, A funded PhD project is available in the interdisciplinary area of computational systems biology and information theoretic approaches to gene regulatory networks, development, evolution, and sustainability, at the University of Hertfordshire, with my supervision. Details are available at https://www.herts.ac.uk/__data/assets/pdf_file/0005/355091/Computational-Systems-Biology-and-Information-Theoretic-Approaches.pdf Research in Computer Science at the University of Hertfordshire has been recognised as excellent in REF 2021, with 90% of the research submitted and all of the research impact rated as internationally excellent or world leading. The University of Hertfordshire provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. The next short-listing process for studentship applications will begin on 1 October 2022. Further information about the PhD Programme in Computer Science, including furhter projects, and on how to apply can be found at https://www.herts.ac.uk/study/schools-of-study/physics-engineering-and-computer-science/engineering-and-computer-science/research-in-engineering-and-computer-science/the-phd-programme-in-computer-science You are very welcome to send any informal enquiries to me. Best regards, Jan From Auke.Ijspeert at epfl.ch Thu Sep 22 04:13:38 2022 From: Auke.Ijspeert at epfl.ch (Auke Ijspeert) Date: Thu, 22 Sep 2022 10:13:38 +0200 Subject: Connectionists: =?utf-8?q?Announcement_and_call_for_abstracts=2C_?= =?utf-8?q?Benzon_Symposium_67_=E2=80=93_Bringing_Circuit_for_Movement_Tog?= =?utf-8?q?ether=2C_Copenhagen=2C_September_4-7=2C_2023?= Message-ID: <986174aa-a5a9-caeb-a034-b440eb947d8d@epfl.ch> Dear computational neuroscientists, The conference below with a wonderful list of speakers might interest researchers working on modeling motor control. Please check it out and prepare abstracts if interested. Best regards Auke Ijspeert Benzon Symposium 67 ? Bringing Circuit for Movement Together *Copenhagen, September 4-7, 2023* https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movement-together Organizers: Ole Kiehn, Claire Wyart, Auke Ijspeert, Hans Br?uner-Osborne, and Finn Cilius Nielsen The Benzon symposia are international conferences on front line research in medical, pharmaceutical and related sciences funded by the Alfred Benzon Foundation. The idea of the 67^th Benzon Symposium *?Bringing Circuit for Movement Together?* is to bring together the world?s leading scientist together who work in different areas of movement control and regulation. A particular aspect is that the conference will bridge the sensory, cognitive, and emotional aspects of movement control as well as new computation approaches. With its lay-out it will create an intense and interactive environment for both young and experiences scientist. The Symposium will be a four-day scientific meeting, Monday to Thursday from 09:00 to 17:30. The format will be a combination of state-of-the-art lectures by invited speakers, selected oral-poster presentations and poster sessions. *Sessions:* * Functional organization of brainstem circuits controlling breathing and orofacial expression * Functional and molecular organization of spinal circuits controlling locomotion * Brainstem circuits for control of motor behavior * Action selection and motor strategies * Beyond the connectome: neuromodulation * Planning, motor learning, and decision making * Sensory-motor integration * Integration of cognitive brain functions and movement *Confirmed invited speakers:* * Ole Kiehn (DK) * Claire Wyart (F) * Mackenzie Mathis (CH) * Karl Deisseroth (USA) * May-Britt Moser (N) * Ann Graybiel (USA) * Cornelia Bargmann (USA) * Eve Marder (USA) * Rui Costa (P) * Megan Carey (USA) * Eiman Azim (USA) * David Kleinfeld (USA) * Martin Goulding (USA) * Sten Grillner (S) * Abdel ElManira (S) * Tadashi Isa (JP) * Silvia Arber (CH) * Dora Angelaki (USA) * Auke Ijspeert (CH) * Jack Feldman (USA) * Rejean Dubuc (C) * David McLean (USA) * Kimberly Dougherty (USA) * Bence P. ?lveczky (USA) Abstracts: In order to participate in the symposium, *one MUST submit an abstract before the deadline April 1^st , 2023 *(at noon). Please prioritize early registration as registrations are on a first come, first served basis. Abstracts submitted after this deadline will not be taken into consideration. *Submission round opens: March 1, 2023* *Submission round closes: April 1, 2023* Final registration/payment: (provided acceptance of abstract): May 15, 2023 Fee: TBA (scientific meeting, hotel accommodation Sunday-Thursday, official meals and social events). More info: https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movement-together -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique F?d?rale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert at epfl.ch ----------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From Christoph.Tremmel at southampton.ac.uk Thu Sep 22 08:57:18 2022 From: Christoph.Tremmel at southampton.ac.uk (Christoph Tremmel) Date: Thu, 22 Sep 2022 12:57:18 +0000 Subject: Connectionists: =?windows-1252?q?Research_Fellow_=28post-doc=29_i?= =?windows-1252?q?n_Computer_Science_=96_Interactive_Software_at_the_Unive?= =?windows-1252?q?rsity_of_Southampton?= Message-ID: Research fellow positions are available at the University of Southampton. Location: Highfield Campus Salary: ?32,348 to ?39,745 per annum Full Time Fixed Term for 3 years Closing Date: Thursday 29 September 2022 Link: https://jobs.soton.ac.uk/Vacancy.aspx?id=33893 If you have a PhD in Computer Science with skills in Software Applications, experience/interest in Human Computer Interaction, mixed reality, especially but not exclusively for health, then join the WellthLab. Core projects and research questions you?d be engaged on include: ? INCIDENTAL INTERACTION (priority project): We are looking at how do design and deploy tangible devices that can transform everyday objects and interactions to support wellbeing. Research questions include: How design interactions to help use daily strength moves, like standing, reaching, grabbing, pulling to build the strength needed to make life easier and have independence sustained longer; where the person can be guided, have feedback, and share experiences with others ? without that interaction getting in a person?s way. These questions underpin this EPSRC project. How would you approach these questions? ? THRIVALIST INTERACTION: How put a personal health skill lab in one?s pocket? How support testing knowledge. How make qualitative tracking as effortless as possible for effective reflection? What is the interaction to help someone connect how they FEEL with what they are DOING? How develop such an app that lets people build the skills so they can abandon the app? These questions are based in our Inbodied Interaction approach, & on our Experiment in a Box methodology and our Experiment in a Box app. What are your ideas? How would you test them? ? VIRTUAL PRESENCE: Synthesising co-presence ? COVID let us know the power of online meetings, but also their limitations. What makes in-person interaction more intimate and challenging than online meetings? What signals and qualities in human-to-human interaction might we synthesise to create better quality interaction when remote? And especially, what does the awareness of and interaction with these signals look like? Where would you begin? ? NON-VISUAL AUGMENTED & MIXED REALITY: Movement and memory go together. How can we leverage and augment movement over and through our environment to build new skills ? from second language acquisition, to social interaction. How use computational augmentation like mixed reality ? and in other modes than vision - to help us build knowledge, skills and practice to learn how to thrive without reliance on that technology? What would your software do? If you have any questions, please contact prof m.c. schraefel directly at hrit-rf at nopain2.org Best regards, Dr. Christoph Tremmel Research Fellow at the WellthLab Electronics and Computer Science University of Southampton -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Thu Sep 22 14:10:41 2022 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Thu, 22 Sep 2022 18:10:41 +0000 Subject: Connectionists: CFP: IEEE BIBM-LncRNA'22: Workshop on Long Non-Coding RNAs -- deadline approaching In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... See our website: BIBM- LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ Paper submission deadline: Oct. 24, 2022 -- see below Call for Papers The IEEE BIBM 2022 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2022 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2022), Dec. 6 - 9, 2022. Though the BIBM conference will be held in Las Vegas, NV, USA/ Changsha, Hunan, China the LncRNA workshop will be held in a mixed mode -- both virtual/remote and in-person in Las Vegas, NV, USA/ Changsha, Hunan, China, and also in Dubai, UAE. BIBM- LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ IEEE BIBM 2022: https://ieeebibm.org/BIBM2022/ 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. Fellowships: Funds are available for limited fellowships to support the participation of students, and of researchers from underrepresented minority groups in the workshop. We aim at supporting at least one author for each accepted paper, depending on number of papers, and on availability of funds. 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 currently open and is being published by the 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 24, 2022 11:59:59 PM WST: Due date for full workshop paper submission. Nov 10, 2022: Notification of paper acceptance to authors Nov 21, 2022: Camera-ready of accepted papers Dec 6-9, 2022: Workshops BIBM-LncRNA'22 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From wolfram.schenck at fh-bielefeld.de Sat Sep 24 11:41:34 2022 From: wolfram.schenck at fh-bielefeld.de (Wolfram Schenck) Date: Sat, 24 Sep 2022 17:41:34 +0200 Subject: Connectionists: [JOBS] Research Associate in the field Machine Learning and AI (SAIL subproject R2.1: Self-aware AI, resilience and preparedness) Message-ID: POSITION: Research Associate in the field Machine Learning and AI (SAIL subproject R2.1: Self-aware AI, resilience and preparedness) LOCATION: Bielefeld University of Applied Sciences, Bielefeld, Germany ------------------------------------------------------------------------------- With more than 10,000 students, Bielefeld University of Applied Sciences is the largest university of applied sciences in East Westphalia-Lippe (OWL). Based in Bielefeld, Minden and G?tersloh, it has an excellent network not only in the OWL region, but also nationally and internationally through diverse contacts, partnerships and cooperations in science, economy, politics and culture. The Faculties of Design, Minden Campus, Engineering and Mathematics, Social Sciences, Business and Health strive for high quality in teaching and research. Within the framework of the funding announcement ?Networks 2021? (Netzwerke 2021) by the Ministry of Culture and Science of the State of North Rhine-Westphalia (MKW NRW) for the sponsored project ?SustAInable Life-cycle of Intelligent Socio-Technical Systems? (SAIL), the Faculty of Engineering and Mathematics seeks to employ a *** Research Associate in the field Machine Learning and AI (SAIL subproject R2.1: Self-aware AI, resilience and preparedness) *** to start immediately. The full-time position is fixed-term until 31 July 2026. Depending on individual qualification and tasks, remuneration will be up to salary group 13 TV-L (collective agreement of the federal state.) A cooperative doctorate can be pursued as part of the employment. Your workplace will be on Bielefeld Campus. ----------------------------------------------------------------------------------------------------------------- Current systems that contain AI technology are primarily targeted at the introductory phase, a core component of which is training and customising AI models based on given sample data. The new SAIL research network is intended to develop the foundations for a sustainable design of AI components. The aim is to ensure that AI systems work transparently, safely and reliably throughout their entire product life cycle. In addition to Bielefeld University of Applied Sciences, this interdisciplinary network comprises Bielefeld University, Paderborn University and OWL University of Applied Sciences and Arts. The project addresses fundamental research in the field of AI, its implications from the perspective of the humanities and social sciences, as well as concrete fields of application in Industry 4.0 and Intelligent Healthcare. The predictions of AI systems are fraught with uncertainty, often making their practical use difficult. There are several ways to tackle this uncertainty, e.g., anticipating and correcting invalid predictions or downstream strategies for dealing with invalid results. In this subproject, approaches from both directions are examined, considering both the algorithmic level and the user perspective. In this way, AI systems could identify false predictions in interaction with the user and improve accordingly. The developed methods are validated using experimental setups in the application areas ?Intelligent Industrial Work Spaces? and ?Adaptive Healthcare Assistance Systems.? Tasks and responsibilities: - Independent project coordination and implementation within the research network - Conduct of independent research activities within the framework of the research project: --- Identification and definition of requirements for the AI workflow, the algorithms to be used and the underlying infrastructure --- Realisation of new ML approaches based on, e.g., techniques of active learning and modelling of uncertainty in prediction --- Development of user interfaces for the developed AI systems --- Generalisation and verification of the modular solution components on Bielefeld UAS?s own research infrastructure --- Conduct of studies with users of the newly developed systems --- Application and transfer of research results - Instruction and guidance of student and research assistants - Knowledge transfer/publications/conference presentations - Support of project lead in other project activities within the scope of SAIL - Implementation of creative ideas in the research network as well as interdisciplinary work You will perform these tasks independently in coordination with Professor Dr.-Ing. Wolfram Schenck. In addition, you will work in an interdisciplinary team consisting of the research associates of the other universities and other professors. ---------------------------------------------------------------------------------------------------------------- Requirements: - Master of Science from a university or university of applied sciences in one of the following fields: computer science, data science, electrical engineering, (bio-)mechatronics or cognitive sciences with specialisation in data-based modelling, statistics or machine learning - In-depth expertise in data collection and analysis, machine learning, statistics, data mining and optimisation - First practical experience with the methods and toolboxes of machine learning - Very good programming skills (Python, R, MATLAB/Simulink, etc.) - Excellent conceptual and analytical thinking and action - Independent and autonomous way of working - Outstanding intellectual capacity - Experience in writing academic texts and presenting scientific work results - Very good knowledge of written and oral German and English - Excellent team spirit and communication skills, confident demeanour Candidates are further required to make sure that their fixed-term employment does not exceed the limits prescribed by the Wissenschaftszeitvertragsgesetz due to previous employments. ---------------------------------------------------------------------------------------------------------------- The ideal candidate should also bring: - Experience in project coordination - Experience in research activities, in the preparation of scientific reports and publications or activities as a student or research assistant --------------------------------------------------------------------------------------------------------------- Benefits: - Mobile work possible - Opportunities for participation in qualification programmes - Support offers for publications and patents - University daycare facility ?EffHa? and holiday care for schoolchildren on Bielefeld Campus - 6 faculties with diverse partnerships and research collaborations in one of the most economically powerful regions in Germany - Good accessibility by public transport - Participation in the university sports programme from Bielefeld University --------------------------------------------------------------------------------------------------------------- Bielefeld University of Applied Sciences has received multiple awards for its successes in promoting equal opportunities and has been certified as a family-friendly university. Therefore, women are particularly welcome to apply, especially in the field of research and in technology, IT and crafts. Applications from women will be given preference in case of equal suitability, skills and professional performance, unless reasons concerning the person of another applicant predominate. Persons with severe disabilities are encouraged to apply, too. Subject to other applicable laws, severely disabled applicants with equivalent qualifications will be given preferential consideration. Please find more detailed information on the SAIL subprojects at: https://jaii.eu/sail. Multiple applications for other subprojects in the network are expressly welcome. In this case, please include the reference numbers of the respective subprojects in your application. If you have any questions relating to the content of the position we offer, please contact Prof. Dr.-Ing. Wolfram Schenck via e-mail at wolfram.schenck[AT]fh-bielefeld.de. ** Are you interested? Please apply online only by 6 October 2022, stating the reference number 03232. ** Application link: https://app.fh-bielefeld.de/qisserver/rds?state=change&type=3&nextdir=sva/bwmsas&subdir=sva/bwm&moduleParameter=bwmSearchResult&next=TableSelect.vm&P_start=0&P_anzahl=100&navigationPosition=qissvaCareer%2Csvabwmstellenuebersicht&breadcrumb=sva_bwm_stellenuebersicht&topitem=qissvaCareer&subitem=svabwmstellenuebersicht -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Sun Sep 25 17:46:32 2022 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Sun, 25 Sep 2022 17:46:32 -0400 Subject: Connectionists: SECOND CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 18TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST In-Reply-To: <0b6b01d8d127$3ed92ea0$bc8b8be0$@neuralcorrelate.com> References: <0ba801d792f8$b73f4280$25bdc780$@neuralcorrelate.com> <0d9301d7931c$4f7ae360$ee70aa20$@neuralcorrelate.com> <0da201d7931c$7c0c0990$74241cb0$@neuralcorrelate.com> <00da01d8bf12$c3cc43d0$4b64cb70$@neuralcorrelate.com> <012501d8bf14$15b8bfb0$412a3f10$@neuralcorrelate.com> <015201d8bf14$bff4c410$3fde4c30$@neuralcorrelate.com> <0b6b01d8d127$3ed92ea0$bc8b8be0$@neuralcorrelate.com> Message-ID: <0d3e01d8d128$474a0540$d5de0fc0$@neuralcorrelate.com> **** SECOND CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 18TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST**** http://illusionoftheyear.com We are happy to announce the 18th edition of world's Best Illusion of the YearSM Contest!! 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 2021) 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 2022 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 ( smart at neuralcorrelate.com) until September 30th, 2022. 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 smednick at ucr.edu Fri Sep 23 17:01:16 2022 From: smednick at ucr.edu (Sara C. Mednick) Date: Fri, 23 Sep 2022 14:01:16 -0700 Subject: Connectionists: Postdoc in Sleep Research Message-ID: The Sleep and Cognition (SaC) Lab of the Cognitive Sciences Department at the University of California, Irvine is soliciting applications from engineers for a postdoctoral research position in cognitive neuroscience. The researcher will work with incoming sleep data from a study using light therapy in older adults with mild cognitive impairment, as well as developing new analysis techniques on existing data sets related to sleep and memory consolidation. Successful candidates should have experience in applying signal processing and non-linear analysis techniques to EEG/ECG recordings, as well as programming skills. Experience in sleep methodology is desirable, but not essential. Researchers must possess a doctoral degree. The University of California offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. Please make inquiries to Sara C. Mednick mednicks at uci.edu Interested applicants will need to submit their application materials via AP Recruit: https://recruit.ap.uci.edu/JPF07823 And should apply to this specific job number: JPF07823 -- Professor University of California, Irvine Department of Cognitive Sciences www.saramednick.com www.sleepandcognitionlab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Sep 24 04:15:22 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 24 Sep 2022 10:15:22 +0200 (CEST) Subject: Connectionists: DeepLearn 2022 Autumn: regular registration October 14 Message-ID: <188399281.272897.1664007322515@webmail.strato.com> ****************************************************************** 7th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2022 Autumn Lule?, Sweden October 17-21, 2022 https://irdta.eu/deeplearn/2022au/ ***************** Co-organized by: Lule? University of Technology EISLAB Machine Learning Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Regular registration: October 14, 2022 ****************************************************************** SCOPE: DeepLearn 2022 Autumn 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 and Las Palmas de Gran Canaria. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 21 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Autumn 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 2022 Autumn will take place in Lule?, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be: Lule? University of Technology https://www.ltu.se/?l=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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities Elaine O. Nsoesie (Boston University), AI and Health Equity PROFESSORS AND COURSES: Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis [virtual] Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics Nadya Chernyavskaya (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics S?bastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data Efstratios Gavves (University of Amsterdam), [advanced] Advanced Deep Learning [virtual] Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning [virtual] Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding Timothy Hospedales (University of Edinburgh), [intermediate/advanced] Deep Meta-Learning Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition Peter Richt?rik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by October 9, 2022. 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 October 9, 2022. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by October 9, 2022. ORGANIZING COMMITTEE: Nosheen Abid (Lule?) Sana Sabah Al-Azzawi (Lule?) Lama Alkhaled (Lule?) Prakash Chandra Chhipa (Lule?) Saleha Javed (Lule?) Marcus Liwicki (Lule?, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Hamam Mokayed (Lule?) Sara Morales (Brussels) Mia Oldenburg (Lule?) Maryam Pahlavan (Lule?) David Silva (London, organization chair) Richa Upadhyay (Lule?) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2022au/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participants are the same. ACCOMMODATION: Accommodation suggestions are available at https://irdta.eu/deeplearn/2022au/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Lule? University of Technology, EISLAB Machine Learning Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Sun Sep 25 17:46:32 2022 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Sun, 25 Sep 2022 17:46:32 -0400 Subject: Connectionists: SECOND CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 18TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST In-Reply-To: <0b6b01d8d127$3ed92ea0$bc8b8be0$@neuralcorrelate.com> References: <0ba801d792f8$b73f4280$25bdc780$@neuralcorrelate.com> <0d9301d7931c$4f7ae360$ee70aa20$@neuralcorrelate.com> <0da201d7931c$7c0c0990$74241cb0$@neuralcorrelate.com> <00da01d8bf12$c3cc43d0$4b64cb70$@neuralcorrelate.com> <012501d8bf14$15b8bfb0$412a3f10$@neuralcorrelate.com> <015201d8bf14$bff4c410$3fde4c30$@neuralcorrelate.com> <0b6b01d8d127$3ed92ea0$bc8b8be0$@neuralcorrelate.com> Message-ID: <0d3e01d8d128$474a0540$d5de0fc0$@neuralcorrelate.com> **** SECOND CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 18TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST**** http://illusionoftheyear.com We are happy to announce the 18th edition of world's Best Illusion of the YearSM Contest!! 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 2021) 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 2022 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 ( smart at neuralcorrelate.com) until September 30th, 2022. 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 davidjrohde at gmail.com Fri Sep 23 11:19:47 2022 From: davidjrohde at gmail.com (david rohde) Date: Fri, 23 Sep 2022 17:19:47 +0200 Subject: Connectionists: CFP deadline extension - Sep 30 - "I can't believe it is not better" workshop at NeurIPS Message-ID: Do you have results that you can't believe are not better? Well, we are sorry - but sometimes we can learn more from surprising negative results. Announcing the 3rd edition of "I can't believe it is not better" workshop at NeurIPS 2022. This time focusing on "Understanding Deep Learning Through Empirical Falsification". https://sites.google.com/view/icbinb-2022/home We solicit contributions which explicitly formulate a hypothesis related to deep learning or its applications (based on first principles or prior work), and then empirically falsify it through experiments. We further encourage submissions to go a layer deeper and investigate the causes of an initial idea not working as expected. This workshop will showcase how negative results offer important learning opportunities for deep learning researchers, possibly far greater than the incremental improvements found in conventional machine learning papers! Paper Submission Deadline - Sep 30, 2022 Paper Acceptance Notification - Oct 20, 2022 In-Person Workshop - December 3, 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: From wolfram.schenck at fh-bielefeld.de Sat Sep 24 11:42:51 2022 From: wolfram.schenck at fh-bielefeld.de (Wolfram Schenck) Date: Sat, 24 Sep 2022 17:42:51 +0200 Subject: Connectionists: [JOBS] Research Associate for the Development of Demonstrators in the field Machine Learning and AI Message-ID: POSITION: Research Associate for the Development of Demonstrators in the field Machine Learning and AI LOCATION: Bielefeld University of Applied Sciences, Bielefeld, Germany ------------------------------------------------------------------------------- With more than 10,000 students, Bielefeld University of Applied Sciences is the largest university of applied sciences in East Westphalia-Lippe (OWL). Based in Bielefeld, Minden and G?tersloh, it has an excellent network not only in the OWL region, but also nationally and internationally through diverse contacts, partnerships and cooperations in science, economy, politics and culture. The Faculties of Design, Minden Campus, Engineering and Mathematics, Social Sciences, Business and Health strive for high quality in teaching and research. Within the framework of the funding announcement ?Networks 2021? (Netzwerke 2021) by the Ministry of Culture and Science of the State of North Rhine-Westphalia (MKW NRW) for the sponsored project ?SustAInable Life-cycle of Intelligent Socio-Technical Systems? (SAIL), the Faculty of Engineering and Mathematics seeks to employ a full-time *** Research Associate for the Development of Demonstrators in the field Machine Learning and AI *** to start immediately. The position is fixed-term until 31 July 2026. Part-time employment is possible. Depending on individual qualification and tasks, remuneration will be up to salary group 13 TV-L (collective agreement of the federal state.) A cooperative doctorate can be pursued as part of the employment. Your workplace will be on Bielefeld Campus. ----------------------------------------------------------------------------------------------------------------- Current systems that contain AI technology are primarily targeted at the introductory phase, a core component of which is training and customising AI models based on given sample data. The new SAIL research network is intended to develop the foundations for a sustainable design of AI components. The aim is to ensure that AI systems work transparently, safely and reliably throughout their entire product life cycle. In addition to Bielefeld University of Applied Sciences, this interdisciplinary network comprises Bielefeld University, Paderborn University and OWL University of Applied Sciences and Arts. The project addresses fundamental research in the field of AI, its implications from the perspective of the humanities and social sciences, as well as concrete fields of application in Industry 4.0 and Intelligent Healthcare. At Bielefeld University of Applied Sciences, we are looking for applicants who will be involved in the development of AI demonstrators in the aforementioned applications and in the establishment and maintenance of a research data platform. Tasks and responsibilities: - Independent project coordination and implementation within the research network - Implementation of AI applications for use in research demonstrators (e.g. smart home or smart care bed) - Construction of demonstrator setups with embedded computer systems and embedded sensors - Establishment and maintenance of a platform for storing and sharing the research data generated by the SAIL joint project - Conduct of independent research activities within the framework of the research project - Instruction and guidance of student and research assistants - Knowledge transfer/publications/conference presentations - Support of project lead in other project activities within the scope of SAIL - Implementation of creative ideas in the research network as well as interdisciplinary work You will perform these tasks independently in coordination with Professor Dr.-Ing. Wolfram Schenck. In addition, you will work in an interdisciplinary team consisting of the research associates of the other universities and other professors. ---------------------------------------------------------------------------------------------------------------- Requirements: - Master of Science from a university or university of applied sciences in one of the following fields: computer science, data science, electrical engineering, (bio-)mechatronics, cognitive sciences with specialisation in data-based modelling, statistics or machine learning - Very good programming skills (Python, C++, Java, etc.) - Very good knowledge of databases and computer networks - Basic knowledge of data collection and analysis, machine learning, statistics, data mining and optimisation - First practical experience with the methods and toolboxes of machine learning - Excellent conceptual and analytical thinking and action - Independent and autonomous way of working - Outstanding intellectual capacity - Experience in writing academic texts and presenting scientific work results - Very good knowledge of written and oral German and English - Excellent team spirit and communication skills, confident demeanour Candidates are further required to make sure that their fixed-term employment does not exceed the limits prescribed by the Wissenschaftszeitvertragsgesetz due to previous employments. ---------------------------------------------------------------------------------------------------------------- The ideal candidate should also bring: - Experience in project coordination - Good skills in programming embedded systems, IoT devices and mobile apps - Basic knowledge of data protection and IT security - Experience in research activities, in the preparation of scientific reports and publications or activities as a student or research assistant --------------------------------------------------------------------------------------------------------------- Benefits: - Mobile work possible - Opportunities for participation in qualification programmes - Support offers for publications and patents - University daycare facility ?EffHa? and holiday care for schoolchildren on Bielefeld Campus - 6 faculties with diverse partnerships and research collaborations in one of the most economically powerful regions in Germany - Good accessibility by public transport - Participation in the university sports programme from Bielefeld University --------------------------------------------------------------------------------------------------------------- Bielefeld University of Applied Sciences has received multiple awards for its successes in promoting equal opportunities and has been certified as a family-friendly university. Therefore, women are particularly welcome to apply, especially in the field of research and in technology, IT and crafts. Applications from women will be given preference in case of equal suitability, skills and professional performance, unless reasons concerning the person of another applicant predominate. Persons with severe disabilities are encouraged to apply, too. Subject to other applicable laws, severely disabled applicants with equivalent qualifications will be given preferential consideration. Please find more detailed information on the SAIL subprojects at: https://jaii.eu/sail. Multiple applications for other subprojects in the network are expressly welcome. In this case, please include the reference numbers of the respective subprojects in your application. If you have any questions relating to the content of the position we offer, please contact Prof. Dr.-Ing. Wolfram Schenck via e-mail at wolfram.schenck[AT]fh-bielefeld.de. ** Are you interested? Please apply online only by 6 October 2022, stating the reference number 03233. ** Application link: https://app.fh-bielefeld.de/qisserver/rds?state=change&type=3&nextdir=sva/bwmsas&subdir=sva/bwm&moduleParameter=bwmSearchResult&next=TableSelect.vm&P_start=0&P_anzahl=100&navigationPosition=qissvaCareer%2Csvabwmstellenuebersicht&breadcrumb=sva_bwm_stellenuebersicht&topitem=qissvaCareer&subitem=svabwmstellenuebersicht -------------- next part -------------- An HTML attachment was scrubbed... URL: From franciscocruzhh at gmail.com Sun Sep 25 18:46:24 2022 From: franciscocruzhh at gmail.com (Francisco Cruz) Date: Mon, 26 Sep 2022 08:46:24 +1000 Subject: Connectionists: Fwd: Opportunity to Work in Australia for Mid-career Researchers in a Four-year Research-only, Full-time Position In-Reply-To: References: Message-ID: Dear list I would like to let you know about this work opportunity for mid-career researchers. Best regards, Francisco Cruz ---------- Forwarded message --------- From: Gustavo E. A. P. A. Batista Date: Mon, Aug 29, 2022 at 12:06 PM Subject: Opportunity to Work in Australia for Mid-career Researchers in a Four-year Research-only, Full-time Position To: The School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW, Sydney) is seeking outstanding mid-career candidates with a solid research track record in Computer Science to apply for the Australian Research Council (ARC) Future Fellowships position. Benefits: 1. A full-time research-only position for four consecutive years (2024-2027) with the possibility to convert to tenure-track positions afterwards subject to funding. 2. The Future Fellowship awards a very competitive salary package, which provides a salary plus 30% on-cost according to the candidate?s academic level: Level A/B - AUD 163K (USD 113K), Level C - AUD 198K (USD 137K), or Level D/E AUD 232K (USD 161K), per annum. These values include 30% on-cost. UNSW will cover the salary gap between the fellowship award and the relevant UNSW salary rate. 3. Research project funding up to AUD 60K (USD 41K) per year. Additional benefits provided by CSE, UNSW: 1. Visiting fellowship for shortlisted candidates, including a two-week visit, all expenses paid. 2. Potential additional top-up project funding per annum over the fellowship period. 3. Mentoring and further support through the application process. Eligibility & Selection Criteria: 1. PhD degree awarded between 1 March 2008 and 1 March 2018. 2. Not be nominated for more than one Future Fellowship in a grant opportunity. 3. Outstanding track record in Computer Science and Engineering discipline, evidenced by research outputs, impact, and leadership. If you are interested in an ARC Future Fellowship position, send a short CV to ft at cse.unsw.edu.au, including: 1. A list of your ten best publications. 2. Your education, including the date your PhD was awarded. 3. Statement of your research contributions, demonstrating your research standing, impact, and leadership. 4. The level that you would like to apply for (A/B, C, or D/E). This information should be received by 30 September 2022. Notes: 1. Information on Benefits and Eligibility Criteria is based on the previous ARC Future Fellowship round for 2022. There might be minor changes for the 2023 round. The grant guideline for 2022 is at https://www.grants.gov.au/Go/Show?GoUuid=d2999c34-b1d4-46c9-988a-25b99ab23944 . 2. You should have a PhD award date together with an allowable period of career interruption that would be commensurate with an award of PhD date on, or between, 1 March 2008 and 1 March 2018. The allowable career interruptions set out, and the period allowed for each is in Table 6 of the grant guidelines. 3. The salary rate for different academic levels in UNSW: Level B: AUD 112K - 133K (USD 77K - 92K), Level C: AUD 137K - 157K (USD 94K - 108K), Level D: AUD 164K - 180K (USD 113K - 124K), Level E: AUD 210K (USD 145K). All levels have an additional 17% superannuation. 4. Competitive candidates should have a track record that is similar to past awardees of Future Fellowships grants: https://rms.arc.gov.au/RMS/Report/Download/Report/a3f6be6e-33f7-4fb5-98a6-7526aaa184cf/229 . 5. At CSE, we value research excellence and impact, which are not only measured by rankings of publication venues. See ACRA joint statement for more information: https://www.unsw.edu.au/news/2022/02/statement-on-evaluating-the-quality-of-computer-science-research . The application closing date for the Future Fellowships grant opportunity for funding commencing in 2024 is 7 December 2022: https://www.arc.gov.au/funding-research/grants-calendar/future-fellowships-2023 . About ARC Future Fellowships Future Fellowships support excellent mid-career researchers to undertake high-quality research in areas of national and international benefit. Up to 100 four-year Future Fellowships may be awarded each year, providing a salary awarded at one of 3 salary levels and up to $60,000 per annum project funding. More information about ARC Future Fellowship: https://www.arc.gov.au/funding-research/funding-schemes/discovery-program/future-fellowships . About UNSW UNSW, Sydney is a world-leading university across research, teaching, and innovation. Established in 1949, our diverse community includes 64,000 students from over 130 countries and a global alumni community of over 300,000. UNSW?s aspiration is to continuously improve our position as a leading research-intensive university in Australia and a peer in good standing with the best globally. Its strengths are built on traditions of the highest academic standards, a record of leading the way with industry and community partnerships, and a history of engaging internationally. The UNSW Strategic Intent reflects our fundamental mission of education, research, and community engagement. About CSE Computer Science and Engineering (CSE) in the Faculty of Engineering at UNSW is one of the largest Schools of its kind in Australia with the greatest impact on society through our academic excellence in teaching, research, commercial and social engagement. The School is the largest with the Faculty of Engineering with over 3,400 students and 56 full-time academic staff with an operating budget of over $20 million. CSE is undergoing a period of expansion, advertising, and recruiting for over 10 new academic staff in 2021. The school is the critical work unit to deliver on the academic priorities of the University and in interactions with students, alumni, industry, government, professional bodies, and the community. In short, the CSE community creates computing advancements for a better world. As early adopters of the open-source movement, the School of Computer Science and Engineering is a diverse and passionate community that has always defied the industry status-quo. Students take every opportunity to share ideas, sharpen skills, and turn abstract ideas into reality. From making artificial intelligence more human to saving lives with DNA analysis software and smartwear technology to designing an interface that speaks to Mars. We believe that there is nothing more powerful than imagination in action. We?re creating tools that help humans reach beyond the edge of possibility. Our new school strategy will see our numbers grow to 70 academics, with aspirations to expand further in the years ahead. -- *Gustavo Batista* School of Computer Science and Engineering University of New South Wales Sydney, Australia [image: Home] CRICOS Provider Code 00098G -------------- next part -------------- An HTML attachment was scrubbed... URL: From i.lin at ucl.ac.uk Mon Sep 26 07:10:20 2022 From: i.lin at ucl.ac.uk (Lin, I-Chun) Date: Mon, 26 Sep 2022 11:10:20 +0000 Subject: Connectionists: Gatsby Unit PhD Programme in Theoretical Neuroscience and Machine Learning: Call for Applications Message-ID: Applications are now open for our 4-year PhD Programme in Theoretical Neuroscience and Machine Learning. Deadline: 13 November 2022 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, with the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC), with the Centre for Computational Statistics and Machine Learning (CSML), and with other research groups in related UCL departments including: Computer Science; Functional Imaging; Neuroscience, Physiology and Pharmacology; Psychology; Neurology; Ophthalmology; the Ear Institute; Statistical Science; Artificial Intelligence; and the nearby Alan Turing and Francis Crick Institutes. Students complete a 4-year PhD in either machine learning or theoretical neuroscience, with minor emphasis in the complementary field. Courses in the first year, taught with colleagues from the SWC and CSML, provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with researchers at the SWC and/or CSML to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality and current residence. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to the Gatsby Unit via our online portal. For more information on the programme and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/phd-programme * Information on our research: www.ucl.ac.uk/gatsby/research-0 * Read more about our faculty members: www.ucl.ac.uk/gatsby/people -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL i.lin at ucl.ac.uk | www.ucl.ac.uk/gatsby | @GatsbyUCL -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Sep 26 07:08:37 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 26 Sep 2022 14:08:37 +0300 Subject: Connectionists: Live e-Lecture by Dr. Sebastian Lapuschkin. : "Towards Actionable XAI", 27 September 2022 17:00-18:00 CEST References: <141c01d8c8cf$64468bc0$2cd3a340$@csd.auth.gr> <00e301d8c9b4$b9e74f70$2db5ee50$@csd.auth.gr> Message-ID: <07f801d8d198$54512d70$fcf38850$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Dr. Sebastian Lapuschkin , a prominent AI researcher internationally, will deliver the e-lecture: 'Towards Actionable XAI', on Tuesday 27th September 2022 17:00-18:00 CEST (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/97981785191 & Passcode: 148148 Attendance is free. The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) This is the first Fall 2022 lecture from a series of successful lectures by AIDA. These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O'Sullivan, I. Pitas, N. Sebe, J. Stefanowski -------------- next part -------------- An HTML attachment was scrubbed... URL: From donatello.conte at univ-tours.fr Mon Sep 26 09:05:20 2022 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Mon, 26 Sep 2022 15:05:20 +0200 Subject: Connectionists: A new dataset for evaluating performance of Partial Video Copy Detection Message-ID: <005601d8d1a8$a1fa5c80$e5ef1580$@univ-tours.fr> --------------------------------------- Apologies for multiple copies --------------------------------------- The LIFAT laboratory (Tours city, France) https://lifat.univ-tours.fr/ has published a dataset, named STVD "large-Scale TV Dataset", for the research community in the Computer Vision field. The STVD dataset is designed to aim at evaluating performance of partial video copy detection (PVCD) methods. The PVCD goal is to find one or more video segments of a reference video which have transformed copies. The STVD dataset is now public available (website link below) under an intellectual property agreement / terms of use. https://dataset-stvd.univ-tours.fr/pvcd/ STVD is the largest public dataset on the PVCD task. It was constituted with about 83 thousands of videos having in total of more than 10 thousands of hours duration and including more than 420 thousands of video copy pairs. It offers different test sets for a fine performance characterization (frame degradation, global transformation, video speeding, etc.) with a frame level annotation for the real-time detection and video alignment. Baseline comparisons were reported to show a room for improvement. More information about the STVD dataset can be found into the publications [1, 2]. [1] V.H. Le, M. Delalandre and D. Conte. A large-Scale TV Dataset for partial video copy detection. International Conference on Image Analysis and Processing (ICIAP), Lecture Notes in Computer Science (LNCS), vol 13233, pp. 388-399, 2022. https://hal.archives-ouvertes.fr/hal-03638514/document [2] V.H. Le, M. Delalandre and D. Conte. Une large base de donn?es pour la d?tection de segments de vid?os TV. Journ?es Francophones des Jeunes Chercheurs en Vision par Ordinateur (ORASIS), 2021. https://hal.archives-ouvertes.fr/hal-03339724/document -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Mon Sep 26 08:34:27 2022 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Mon, 26 Sep 2022 12:34:27 +0000 Subject: Connectionists: Postdoc (3 years) in computational neuroscience/machine learning at the University of Nottingham (UK) Message-ID: The Humphries? lab at the University of Nottingham is seeking a postdoc to join a project developing a precision medicine platform for neuromodulation, in collaboration with MachineMedicine Technologies and St George?s Hospital, London. A crucial unmet need in the management of Parkinson?s disease is how to reliably identify patients that would benefit from deep brain stimulation, the most effective treatment for Parkinson?s. The project team will create a machine-learning platform that synthesises wide-ranging personal and clinical data, combined with neural modelling, to predict the suitability of each Parkinson?s disease patient for deep brain stimulation. An exciting opportunity for the pipeline will be integrating computational models of the neural circuits disrupted in Parkinson?s. The Humphries? lab researches fundamental insights into how the joint activity of neurons encodes actions in the world and is disrupted in movement disorders (https://www.humphries-lab.org). The post is for 3 years, full-time. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. For queries please contact Professor Mark Humphries, mark.humphries at nottingham.ac.uk. For full details of the role and how to applyhttps://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI437522 Closing data: October 26th 2022 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From shaileesjain at gmail.com Mon Sep 26 10:03:29 2022 From: shaileesjain at gmail.com (Shailee Jain) Date: Mon, 26 Sep 2022 09:03:29 -0500 Subject: Connectionists: [Final Deadline] CFP for MemARI Workshop @ NeurIPS'22 Message-ID: *Final Deadline: Thurs | Sept 29th, 2022 | 23:59 hrs AOE* Hello! We invite submissions to the NeurIPS 2022 workshop on Memory in Artificial and Real Intelligence (MemARI). One of the key challenges for AI systems is to understand, predict, and model data over time. Pretrained networks should be able to temporally generalize, or adapt to shifts in data distributions that occur over time. Our current state-of-the-art (SOTA) still struggles to model and understand data over long temporal durations ? for example, SOTA models are limited to processing several seconds of video, and powerful transformer models are still fundamentally limited by their attention spans. By contrast, humans and other biological systems are able to flexibly store and update information in memory to comprehend and manipulate streams of input. How should memory mechanisms be designed in deep learning, and what can this field learn from biological memory systems? MemARI aims to facilitate progress on these topics by bringing together researchers from machine learning, neuroscience, reinforcement learning, computer vision, natural language processing and other adjacent fields. We invite submissions presenting new and original research on topics including but not limited to the following: 1. Computational models of biological memory 2. Role of different biological memory systems in cognitive tasks, with implications for AI algorithms/architectures 3. Biologically-inspired architectures to improve memory/temporal generalization 4. New approaches to improving memory in artificial systems 5. Domain-specific uses of memory mechanisms (for ex., for lifelong learning, NLP, RL etc.) 6. Empirical and theoretical analyses of limitations in current artificial systems 7. Datasets and tasks to evaluate memory mechanisms of artificial networks Important dates: - Paper submission deadline: Thurs September 29, 2022 23:59 [Anywhere on Earth] - Decision Notification: Fri October 14th, 2022 [17:00 hrs PT] - Workshop date: Dec 2, 2022 in-person @ New Orleans Submission instructions: - Submission Portal: MemARI OpenReview (currently accepting submissions) - All submissions must be in PDF format. - Submissions are limited to four content pages, including all figures and tables; additional pages containing only references are allowed. - Please use the NeurIPS 2022 LaTeX style file . Style or page limit violations (e.g., by decreasing margins or font sizes) may lead to automatic rejection - All submissions should be anonymous. - Per NeurIPS guidelines, previously published work is not acceptable for submission. Reviewing process & Acceptance: - The review process is double-blind. - Accepted papers will be presented during a poster session, with spotlight oral presentations for exceptional submissions. (with accommodation for virtual attendees) - Accepted papers will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. Please direct questions and all future correspondence to memari-workshop at googlegroups.com. More information on the workshop can be found on the MemARI website . Organizers: Uri Hasson, Princeton University Ken Norman, Princeton University Alex Huth, UT Austin Mariya Toneva, MPI for Software Systems Shailee Jain, UT Austin Javier Turek, Intel Labs Vy Vo, Intel Labs Mihai Capot?, Intel Labs -------------- next part -------------- An HTML attachment was scrubbed... URL: From wolfram.schenck at fh-bielefeld.de Mon Sep 26 15:20:04 2022 From: wolfram.schenck at fh-bielefeld.de (Wolfram Schenck) Date: Mon, 26 Sep 2022 21:20:04 +0200 Subject: Connectionists: [JOBS] Research Associate in the field Machine Learning and AI for Mechatronic Systems (SAIL subproject A.4: Care bed robotics) Message-ID: <12dd4dc3-76b1-02f1-88da-44f2259f7e1d@fh-bielefeld.de> POSITION: Research Associate in the field Machine Learning and AI for Mechatronic Systems (SAIL subproject A.4: Care bed robotics) LOCATION: Bielefeld University of Applied Sciences, Bielefeld, Germany ------------------------------------------------------------------------------- With more than 10,000 students, Bielefeld University of Applied Sciences is the largest university of applied sciences in East Westphalia-Lippe (OWL). Based in Bielefeld, Minden and G?tersloh, it has an excellent network not only in the OWL region, but also nationally and internationally through diverse contacts, partnerships and cooperations in science, economy, politics and culture. The Faculties of Design, Minden Campus, Engineering and Mathematics, Social Sciences, Business and Health strive for high quality in teaching and research. Within the framework of the funding announcement ?Networks 2021? (Netzwerke 2021) by the Ministry of Culture and Science of the State of North Rhine-Westphalia (MKW NRW) for the sponsored project ?SustAInable Life-cycle of Intelligent Socio-Technical Systems? (SAIL), the Faculty of Engineering and Mathematics seeks to employ a *** Research Associate in the field Machine Learning and AI for Mechatronic Systems (SAIL subproject A.4: Care bed robotics) *** to start immediately. The full-time position is fixed-term until 31 July 2026. Depending on individual qualification and tasks, remuneration will be up to salary group 13 TV-L (collective agreement of the federal state.) A cooperative doctorate can be pursued as part of the employment. Your workplace will be on Bielefeld Campus. ----------------------------------------------------------------------------------------------------------------- Current systems that contain AI technology are primarily targeted at the introductory phase, a core component of which is training and customising AI models based on given sample data. The new SAIL research network is intended to develop the foundations for a sustainable design of AI components. The aim is to ensure that AI systems work transparently, safely and reliably throughout their entire product life cycle. In addition to Bielefeld University of Applied Sciences, this interdisciplinary network comprises Bielefeld University, Paderborn University and OWL University of Applied Sciences and Arts. The project addresses fundamental research in the field of AI, its implications from the perspective of the humanities and social sciences, as well as concrete fields of application in Industry 4.0 and Intelligent Healthcare. There are various life situations in which people depend on nursing care in a care bed during the course of or as a result of an illness. Care beds, especially intensive care beds with a large number of actuators, can be seen as robots themselves, taking care of the users in them, e.g. by carrying out repositioning movements to prevent pressure ulcers. In this subproject, an intensive care bed is available, which has RGB, depth image and infrared cameras as well as sensors for pressure distribution measurements on the bedding surface and whose drives are computer-controlled. The subproject begins with a fusion of the sensor data and uses ML-based modelling approaches to determine/estimate non-directly measurable process variables and patient characteristics from a subset of the sensors (e.g. estimation of the lying pressure distribution without pressure distribution measurement as a basis for repositioning movements of the bed). The AI questions that follow concern, for example, model individualisation, natural modes of interaction and adaptivity. Tasks and responsibilities: - Independent project coordination and implementation within the research network - Conduct of independent research activities within the framework of the research project: ?? Identification and definition of requirements for the workflow, the algorithms to be used and the underlying mechatronic infrastructure ?? Design and conduct of measurement campaigns with test subjects ?? Research into hybrid models as well as AI and ML methods for robust and interpretable prediction of process variables and patient characteristics/body parameters ?? Research into approaches to the continuous adaptation of hybrid models ?? Implementation of ML approaches for controlling the intensive care bed demonstrator ?? Implementation of the methods on the demonstrator ?? Generalisation of the developed approaches ?? Application and transfer of research results - Instruction and guidance of student and research assistants - Knowledge transfer/publications/conference presentations - Support of project lead in other project activities within the scope of SAIL - Implementation of creative ideas in the research network as well as interdisciplinary work You will perform these tasks independently in coordination with Professor Dr. rer. nat. Axel Schneider. In addition, you will work in an interdisciplinary team consisting of the research associates of the other universities and other professors. ---------------------------------------------------------------------------------------------------------------- Requirements: - Master of Science/Engineering from a university or university of applied sciences in electrical engineering, computer science, biomechatronics or related subjects - In-depth expertise in the collection, processing and algorithmic evaluation of (image) sensor data - Expertise in machine learning, embedded and robotic systems - First practical experience with the methods and toolboxes of machine learning - Very good programming skills (Python, C(++), MATLAB/Simulink, etc.) - Excellent conceptual and analytical thinking and action - Independent and autonomous way of working - Outstanding intellectual capacity - Experience in writing academic texts and presenting scientific work results - Very good knowledge of written and oral German and English - Excellent team spirit and communication skills, confident demeanour Candidates are further required to make sure that their fixed-term employment does not exceed the limits prescribed by the Wissenschaftszeitvertragsgesetz due to previous employments. ---------------------------------------------------------------------------------------------------------------- The ideal candidate should also bring: - Experience in project coordination - Experience in research activities, in the preparation of scientific reports and publications or activities as a student or research assistant - Experience in handling hardware components (e.g. installation and integration of sensors) --------------------------------------------------------------------------------------------------------------- Benefits: - Mobile work possible - Opportunities for participation in qualification programmes - Support offers for publications and patents - University daycare facility ?EffHa? and holiday care for schoolchildren on Bielefeld Campus - 6 faculties with diverse partnerships and research collaborations in one of the most economically powerful regions in Germany - Good accessibility by public transport - Participation in the university sports programme from Bielefeld University --------------------------------------------------------------------------------------------------------------- Bielefeld University of Applied Sciences has received multiple awards for its successes in promoting equal opportunities and has been certified as a family-friendly university. Therefore, women are particularly welcome to apply, especially in the field of research and in technology, IT and crafts. Applications from women will be given preference in case of equal suitability, skills and professional performance, unless reasons concerning the person of another applicant predominate. Persons with severe disabilities are encouraged to apply, too. Subject to other applicable laws, severely disabled applicants with equivalent qualifications will be given preferential consideration. Please find more detailed information on the SAIL subprojects at: https://jaii.eu/sail. Multiple applications for other subprojects in the network are expressly welcome. In this case, please include the reference numbers of the respective subprojects in your application. If you have any questions relating to the content of the position we offer, please contact Prof. Dr. rer. nat. Axel Schneider via e-mail at axel.schneider[AT]fh-bielefeld.de. ** Are you interested? Please apply online only by 6 October 2022, stating the reference number 03231. ** Application link: https://app.fh-bielefeld.de/qisserver/rds?state=change&type=3&nextdir=sva/bwmsas&subdir=sva/bwm&moduleParameter=bwmSearchResult&next=TableSelect.vm&P_start=0&P_anzahl=100&navigationPosition=qissvaCareer%2Csvabwmstellenuebersicht&breadcrumb=sva_bwm_stellenuebersicht&topitem=qissvaCareer&subitem=svabwmstellenuebersicht -------------- next part -------------- An HTML attachment was scrubbed... URL: From SchockaertS1 at cardiff.ac.uk Mon Sep 26 10:28:03 2022 From: SchockaertS1 at cardiff.ac.uk (Steven Schockaert) Date: Mon, 26 Sep 2022 14:28:03 +0000 Subject: Connectionists: Postdoctoral position at Cardiff University Message-ID: Location: Cardiff, UK Deadline for applications: 17th October 2022 Start date: 1st January 2023 (or later) Duration: 30 months Keywords: learning & reasoning, natural language processing, commonsense reasoning Details about the post Applications are invited for a Research Associate post in the Cardiff University School of Computer Science & Informatics, to work on the EPSRC Open Fellowship project ReStoRe (Reasoning about Structured Story Representations), which is focused on story-level language understanding. The overall aim of this project is to develop methods for learning graph-structured representations of stories. For this post, the specific focus will be on developing common sense reasoning strategies, based on graph neural networks, to fill the gap between what is explicitly stated in a story and what a human reader would infer by ?reading between the lines?. More details about the post and instructions on how to apply are available here: https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=30011&siteid=5460&PageType=JobDetails&jobid=2004071 Background about the ReStoRe project When we read a story as a human, we build up a mental model of what is described. Such mental models are crucial for reading comprehension. They allow us to relate the story to our earlier experiences, to make inferences that require combining information from different sentences, and to interpret ambiguous sentences correctly. Crucially, mental models capture more information than what is literally mentioned in the story. They are representations of the situations that are described, rather than the text itself, and they are constructed by combining the story text with our commonsense understanding of how the world works. The field of Natural Language Processing (NLP) has made rapid progress in the last few years, but the focus has largely been on sentence-level representations. Stories, such as news articles, social media posts or medical case reports, are essentially modelled as collections of sentences. As a result, current systems struggle with the ambiguity of language, since the correct interpretation of a word or sentence can often only be inferred by taking its broader story context into account. They are also severely limited in their ability to solve problems where information from different sentences needs to be combined. As a final example, current systems struggle to identify correspondences between related stories (e.g. different news articles about the same event), especially if they are written from a different perspective. To address these fundamental challenges, we need a method to learn story-level representations that can act as an analogue to mental models. Intuitively, there are two steps involved in learning such story representations: first we need to model what is literally mentioned in the story, and then we need some form of commonsense reasoning to fill in the gaps. In practice, however, these two steps are closely interrelated: interpreting what is mentioned in the story requires a model of the story context, but constructing this model requires an interpretation of what is mentioned. The solution that is proposed in this fellowship is based on representations called story graphs. These story graphs encode the events that occur, the entities involved, and the relationships that hold between these entities and events. A story can then be viewed as an incomplete specification of a story graph, similar to how a symbolic knowledge base corresponds to an incomplete specification of a possible world. The proposed framework will allow us to reason about textual information in a principled way. It will lead to significant improvements in NLP tasks where a commonsense understanding is required of the situations that are described, or where information from multiple sentences or documents needs to be combined. It will furthermore enable a step change in applications that directly rely on structured text representations, such as situational understanding, information retrieval systems for the legal, medical and news domains, and tools for inferring business insights from news stories and social media feeds. -------------- next part -------------- An HTML attachment was scrubbed... URL: From wolfram.schenck at fh-bielefeld.de Mon Sep 26 15:18:58 2022 From: wolfram.schenck at fh-bielefeld.de (Wolfram Schenck) Date: Mon, 26 Sep 2022 21:18:58 +0200 Subject: Connectionists: [JOBS] Research Associate in the field Acceptance of AI in Health Applications (SAIL subproject A.1: Resistance to Intelligent Technical Systems (ITS) in Healthcare) Message-ID: POSITION: Research Associate in the field Acceptance of AI in Health Applications (SAIL subproject A.1: Resistance to Intelligent Technical Systems (ITS) in Healthcare) LOCATION: Bielefeld University of Applied Sciences, Bielefeld, Germany ------------------------------------------------------------------------------- With more than 10,000 students, Bielefeld University of Applied Sciences is the largest university of applied sciences in East Westphalia-Lippe (OWL). Based in Bielefeld, Minden and G?tersloh, it has an excellent network not only in the OWL region, but also nationally and internationally through diverse contacts, partnerships and cooperations in science, economy, politics and culture. The Faculties of Design, Minden Campus, Engineering and Mathematics, Social Sciences, Business and Health strive for high quality in teaching and research. Within the framework of the funding announcement ?Networks 2021? (Netzwerke 2021) by the Ministry of Culture and Science of the State of North Rhine-Westphalia (MKW NRW) for the sponsored project ?SustAInable Life-cycle of Intelligent Socio-Technical Systems? (SAIL), the Faculty of Engineering and Mathematics seeks to employ a *** Research Associate in the field Acceptance of AI in Health Applications (SAIL subproject A.1: Resistance to Intelligent Technical Systems (ITS) in Healthcare) *** to start immediately. The full-time position is fixed-term until 31 July 2026. Depending on individual qualification and tasks, remuneration will be up to salary group 13 TV-L (collective agreement of the federal state.) A cooperative doctorate can be pursued as part of the employment. Your workplace will be on Bielefeld Campus. ----------------------------------------------------------------------------------------------------------------- Current systems that contain AI technology are primarily targeted at the introductory phase, a core component of which is training and customising AI models based on given sample data. The new SAIL research network is intended to develop the foundations for a sustainable design of AI components. The aim is to ensure that AI systems work transparently, safely and reliably throughout their entire product life cycle. In addition to Bielefeld University of Applied Sciences, this interdisciplinary network comprises Bielefeld University, Paderborn University and OWL University of Applied Sciences and Arts. The project addresses fundamental research in the field of AI, its implications from the perspective of the humanities and social sciences, as well as concrete fields of application in Industry 4.0 and Intelligent Healthcare. Although AI-based applications already outperform human beings in some areas of medicine ? for example, in the detection of skin cancer ?, many potential users (patients, physicians, healthcare providers) are very reluctant to use this information. The project aims to investigate these resistances from a psychological perspective and to find out how these can be reduced by designing AI applications. For this purpose, in addition to interviews, behaviour-based experiments with prototypes (where appropriate, with eye-tracking) are to be conducted. Tasks and responsibilities: - Independent project coordination and implementation within the research network - Conduct of independent research activities within the framework of the research project: ? ? Identification and definition of possible reasons for resistance to the use of AI in the healthcare sector ? ? Research into factors that can lead to an increase or decrease in this resistance ? ? Conduct of experiments (online and eye-tracking) ? ? Application and transfer of research results - Instruction and guidance of student and research assistants - Knowledge transfer/publications/conference presentations - Support of project lead in other project activities within the scope of SAIL - Implementation of creative ideas in the research network as well as interdisciplinary work You will perform these tasks independently in coordination with Professor Dr. rer. nat. Gerrit Hirschfeld. In addition, you will work in an interdisciplinary team consisting of the research associates of the other universities and other professors. ---------------------------------------------------------------------------------------------------------------- Requirements: - Master of Science/Engineering from a university or university of applied sciences in one of the following areas: psychology, business psychology, cognitive science or related subjects - Basic knowledge of the relevant social psychological models from persuasion research - First practical experience in the planning, conduct and analysis of empirical studies in psychology - Very good knowledge of commonly used analysis programmes, e.g. R, SPSS - Excellent conceptual and analytical thinking and action - Independent and autonomous way of working - Outstanding intellectual capacity - Experience in writing academic texts and presenting scientific work results - Very good knowledge of written and oral German and English - Excellent team spirit and communication skills, confident demeanour Candidates are further required to make sure that their fixed-term employment does not exceed the limits prescribed by the Wissenschaftszeitvertragsgesetz due to previous employments. ---------------------------------------------------------------------------------------------------------------- The ideal candidate should also bring: - Experience in project coordination - Practical experience in planning and conducting social psychological experiments, ideally with eye-tracking - Experience in research activities, in the preparation of scientific reports and publications or activities as a student or research assistant --------------------------------------------------------------------------------------------------------------- Benefits: - Mobile work possible - Opportunities for participation in qualification programmes - Support offers for publications and patents - University daycare facility ?EffHa? and holiday care for schoolchildren on Bielefeld Campus - 6 faculties with diverse partnerships and research collaborations in one of the most economically powerful regions in Germany - Good accessibility by public transport - Participation in the university sports programme from Bielefeld University --------------------------------------------------------------------------------------------------------------- Bielefeld University of Applied Sciences has received multiple awards for its successes in promoting equal opportunities and has been certified as a family-friendly university. Therefore, women are particularly welcome to apply, especially in the field of research and in technology, IT and crafts. Applications from women will be given preference in case of equal suitability, skills and professional performance, unless reasons concerning the person of another applicant predominate. Persons with severe disabilities are encouraged to apply, too. Subject to other applicable laws, severely disabled applicants with equivalent qualifications will be given preferential consideration. Please find more detailed information on the SAIL subprojects at: https://jaii.eu/sail. Multiple applications for other subprojects in the network are expressly welcome. In this case, please include the reference numbers of the respective subprojects in your application. If you have any questions relating to the content of the position we offer, please contact Prof. Dr. rer. nat. Gerrit Hirschfeld via e-mail at gerrit.hirschfeld[AT]fh-bielefeld.de. ** Are you interested? Please apply online only by 6 October 2022, stating the reference number 03230. ** Application link: https://app.fh-bielefeld.de/qisserver/rds?state=change&type=3&nextdir=sva/bwmsas&subdir=sva/bwm&moduleParameter=bwmSearchResult&next=TableSelect.vm&P_start=0&P_anzahl=100&navigationPosition=qissvaCareer%2Csvabwmstellenuebersicht&breadcrumb=sva_bwm_stellenuebersicht&topitem=qissvaCareer&subitem=svabwmstellenuebersicht -------------- next part -------------- An HTML attachment was scrubbed... URL: From malini.vinita.samarasinghe at ini.rub.de Mon Sep 26 09:38:40 2022 From: malini.vinita.samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Mon, 26 Sep 2022 15:38:40 +0200 Subject: Connectionists: Computational neuroscience - PhD/Postdoc - Cheng Lab, Bochum Message-ID: <58c60bf7-2168-d842-7ea8-8455909fdaa5@ini.rub.de> We (Cheng Lab , Ruhr University Bochum , Germany) are looking to fill two positions in the area of computational neuroscience each for 3 years. _*Positions*_ 1. Postdoc: Join the team on project F01 of the Collaborative Research Center ?Extinction Learning? SFB 1280 to: * analyze learning dynamics in behavioral, neural, and psychophysiological data, which will be collected by other projects within the SFB 1280. * compare the learning dynamics between individuals, species, learning phases and learning paradigms, * develop algorithms to analyze the learning dynamics, * develop and study computational models of learning dynamics, and * coordinate research with other participating projects. 2. PhD student or Postdoc: Develop and study computational models of episodic memory and spatial navigation by: * extending models based on large networks of biologically plausible spiking neurons with synaptic plasticity, * studying the generation and learning of complex spatial behaviors in the model, * quantitatively comparing the model output to the spatial behavior of mammals, and * studying the role of episodic memory in spatial navigation. The research groupis highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. _*Qualifications*_ * Adoctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field. In exceptional cases, graduate students with a Masters degree in these fields, but nodoctorate degree, may be considered. * Relevant experience in mathematical modeling together with a solid mathematics background * Relevant research experience in neuroscience or a related field (only position 1) * Be able to think algorithmically and have excellent programming skills (e.g., Python) * Excellent communication skills in English * Work well in a team. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation in the Faculty of Computer Science combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts (bachelor & master) and research statement electronically, as a *single PDF* file, to samarasinghe at ini.rub.de . In addition, at least two academic references mustbe sent independently to the above email address. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe, samarasinghe at ini.rub.de -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/73 Postfachnummer 110 Universit?tstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Spencer at uea.ac.uk Tue Sep 27 17:37:55 2022 From: J.Spencer at uea.ac.uk (John Spencer (PSY - Staff)) Date: Tue, 27 Sep 2022 21:37:55 +0000 Subject: Connectionists: Dynamic Friday Tutorials... In-Reply-To: References: <179F54FC-194A-420C-814D-8745D55FC964@uea.ac.uk> <22FE7480-A7EC-4DDB-83CA-25222143B682@uea.ac.uk> Message-ID: <895657BD-511F-4D01-9A60-1F864975FD9D@uea.ac.uk> Greetings, I?m launching a new talk series called Dynamic Friday Tutorials (DFT!) that will run monthly starting October 7. Details are below and on-line: https://dynamicfieldtheory.org/events/dynamic_friday_tutorials_dft/ You can register on our website if interested. Cheers, John Spencer The goal of the Dynamic Friday Tutorials is to build a hands-on community around the concepts of Dynamic Field Theory by presenting 'case study' tutorials in an on-line, discussion-oriented environment. The first case studies will build on three recent papers: 1. Spencer (2020) Current Directions in Psychological Science [3-layer visual working memory model] 2. Spencer, Ross-Sheehy & Eschman (2022) Infancy [IOWA spatial attention model] 3. Bhat, Spencer & Samuelson (2022) Psychological Review [WOLVES word learning model] In advance of the meeting, the presenter will pre-record a talk to accompany each of the papers above (the first set of videos is available at: https://dynamicfieldtheory.org/dft_case_studies/the_development_of_working_memory/). Attendees will be expected to listen to the talk and preview the paper in advance. Then, on the day of the event, the presenter will give a brief recap of the talk (e.g., 5-min overview) and open the floor for an on-line discussion. This will be accompanied by a hands-on tutorial session walking through simulators of the particular model (using, for instance, CEDAR or COSIVINA). The goal is to unpack the model and to help facilitate work with dynamic field models more generally. John P. Spencer, PhD Professor Developmental Dynamics Lab https://www.facebook.com/DDPSYUEA https://ddlabs.uea.ac.uk School of Psychology, Room 0.09 Lawrence Stenhouse Building, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ United Kingdom Telephone 01603 593968 [/var/folders/jl/_9mpm6j92_9ckmg0q9qhs4986d96kt/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/cidimage002.jpg at 01D48BB4.171FA130][/var/folders/jl/_9mpm6j92_9ckmg0q9qhs4986d96kt/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/cidimage004.jpg at 01D48BB4.171FA130] UK 14th for Research Quality in Psychology, Psychiatry, and Neuroscience (Times Higher Education rankings for the Research Excellence Framework 2021) World Top 200 (Times Higher Education World University Rankings 2022) UK Top 30 (The Times/Sunday Times 2022 and Complete University Guide 2022) UK Top 20 for research quality (Times Higher Education Rankings for the Research Excellence Framework 2021) World Top 50 for research citations (Times Higher Education World University Rankings 2022) World Top 50 (Times Higher Education Impact Rankings 2022) Athena SWAN Silver Award Holder (since 2019) in recognition of advancement towards gender equality for all (Advance HE) Any personal data exchanged as part of this email conversation will be processed by the University in accordance with current UK data protection law and in line with the relevant UEA Privacy Notice. This email is confidential and may be privileged. If you are not the intended recipient please accept my apologies; please do not disclose, copy or distribute information in this email or take any action in reliance on its contents: to do so is strictly prohibited and may be unlawful. Please inform me that this message has gone astray before deleting it. Thank you for your co-operation. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 201 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 5594 bytes Desc: image002.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.jpg Type: image/jpeg Size: 2467 bytes Desc: image003.jpg URL: From epiasini at sissa.it Tue Sep 27 10:30:32 2022 From: epiasini at sissa.it (Eugenio Piasini) Date: Tue, 27 Sep 2022 14:30:32 +0000 Subject: Connectionists: [Call for abstracts] Physics of Neural Systems focus session at APS March Meeting 2023 - deadline Oct 20 Message-ID: Dear all, we invite abstract submissions to the Focus Sessions on the Physics of Neural Systems at the upcoming APS March Meeting 2023 (https://march.aps.org). The meeting will be held in Las Vegas (NV) from March 5 to March 10, 2023. To submit an abstract, please visit the link https://march.aps.org/attendees-presenters/abstracts . The submission deadline is October 20, 2022. Session description: Neural systems are a fascinating source of challenging problems for physicists, attracting a wide range of approaches to understand the emergence of cognition and intelligent behavior. From an empirical perspective, modern recording techniques continuously motivate the development of new methods for analyzing, modeling, and interpreting highly complex data, collected in increasingly naturalistic settings. In parallel, physics approaches stimulate the design of new experiments by generating normative theories of brain computation. Finally, a complementary approach to understanding intelligent systems is provided by artificial neural networks and machine learning. These systems have reached superhuman performance on a range of well-constrained tasks, but still lack the robustness and versatility of animal learning. This Focus Session welcomes this diversity of approaches, with the goal of enhancing communication and synergy within a highly interdisciplinary community. We hope the session will spur discussion and exchange of ideas on how neural systems represent and process information to enable robust learning. Best wishes, The organizers --- Philipp Fleig (University of Pennsylvania) Cl?lia de Mulatier (University of Amsterdam) Tiberiu Tesileanu (Flatiron Institute) Gaia Tavoni (WUSTL) Sahand Rai (EPFL) Eugenio Piasini (SISSA) From jorgealmeida at fpce.uc.pt Tue Sep 27 14:55:55 2022 From: jorgealmeida at fpce.uc.pt (Jorge Almeida) Date: Tue, 27 Sep 2022 19:55:55 +0100 Subject: Connectionists: 1 Post-Doctoral Researcher on the Neuroscience and Neuropsychology of Consciousness - University of Coimbra, Portugal Message-ID: Apologies for cross-posting. ?scar Gon?alves and Jorge Almeida at the Proaction Laboratory ( proactionlab.fpce.uc.pt), University of Coimbra (www.uc.pt), Portugal, and the CO&MA (Consciousness & Mental Awareness) research team, are looking for 1 Post-Doctoral Researcher to work on the Neuroscience and Neuropsychology of Consciousness using EEG, TMS and fMRI, in normal and special populations. In the CO&MA group, we attempt to: (1) decode the neuronal mechanisms contrasting automatic/implicit/unconscious from deliberate/explicit/conscious processing; (2) understand the neurodynamics of unconscious/conscious processing in awake and sleep stages; and (3) characterize and modulate the brain mechanisms in extreme consciousness conditions (from altered states of consciousness, to consciousness disorders). If these topics interest you, please send us an email. We strongly and particularly encourage applications from women, and from underrepresented groups in academia. General Requirements for the positions: 1. Candidates should have a PhD in Psychology, Cognitive Neuroscience, Computer Science, Computational Neuroscience or any other related field as long as their work relates to the specific profiles below. 2. They should already have their diplomas (so that we can start the process of recognition in Portugal, which is a necessary step for hiring ? please go here to start the process of recognizing your diploma). 3. The candidate should be a recent graduate ? the date in their PhD diploma should not be before July 2020. 4. Interest in consciousness and unconscious processing. 5. Very good English (oral and written) communicative skills are necessary. Salary and duration: The position will start as soon as possible and finish in January 2024. The position involves no formal teaching (unless the candidate wants to). It does involve, however, lab mentoring. The salary is extremely competitive ? 2200 euros per month net value (annual 26400 net value). This value is on par with the average salaries at top American institutions, as well as London, Paris, etc. However, the cost of living in Portugal (and particularly in Coimbra) is much lower. According to Numbeo, 2400 euros would be equivalent to 4850 pounds in London/4800 euros in Paris/6615 USD in Boston/6210 USD in Los Angeles/ 8330 USD in New York. Working conditions: The researcher will work directly with ?scar Gon?alves and Jorge Almeida in Coimbra. The researcher will also be encouraged to develop her/his own projects and look for additional funding so that the stay can be extended. We have access to 2 3T MRI scanner with a 32-channel coil, to tDCS and TMS with neuronavigation, and to a fully set psychophysics lab. We have EEG and eyetracking on site. 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 most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. How can I apply: Applications are open until October 20, 2022. The interested candidates should email ?scar Gon?alves and Jorge Almeida with their CVs, a motivation letter, and reference letters. Please send an email (oscar at fpce.uc.pt; jorgealmeida at fpce.uc.pt) with the subject ?COM&MA Post-doc position?. If you have any question regarding the application, please send us an email. -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro.dausilio at gmail.com Wed Sep 28 06:38:47 2022 From: alessandro.dausilio at gmail.com (Alessandro D'Ausilio) Date: Wed, 28 Sep 2022 12:38:47 +0200 Subject: Connectionists: Post-doc @ Italian Institute of Technology, Ferrara Message-ID: <13329A5D-AD3E-4949-8C01-45B5255D326C@gmail.com> Post-doc position in Human Neurophysiology of Sensorimotor Communication Duration: 2 years, renewable for 3 more. Who: Physicists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists with a PhD in Neuroscience or related disciplines. We will positively evaluate the following: Documented experience with EEG/TMS/MoCap. Documented experience in advanced data analysis. Programming skills. Team-working skills. Work environment: You will be working in very friendly environment within a larger multidisciplinary group of about 30-35 people. Your will be part of a sub-group composed by 2 other post-docs and 8 PhD students working side by side with an advanced statistical methods group (1 researcher + 3 post-docs). Open door policy. Where: The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), hosted by the University of Ferrara. The city: the CTNSC is hosted in a prestigious historical building in the city center. Ferrara is a well connected renaissance city (30-min to Bologna, 40-min to Padua, 60-min to Venice; 2 nearby international airports), bustling with students (https://whc.unesco.org/en/list/733 ). Accommodations are relatively cheap and you won?t need a car as everyone uses a bicycle. Feel free to contact me for more info: alessandro.dausilio at gmail.com CTNSC website: https://www.iit.it/it/web/multiscale-brain-communication Application website: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=22000066 DEADLINE: October 15th, 2022 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1451 bytes Desc: not available URL: From marcosmrai at gmail.com Wed Sep 28 09:29:01 2022 From: marcosmrai at gmail.com (marcosmrai) Date: Wed, 28 Sep 2022 10:29:01 -0300 Subject: Connectionists: Call for Ph.D. applications in AI applied in Finance at University of Campinas Message-ID: Dear colleagues, We are looking for a motivated Ph.D. student with an interest in machine learning applied to fair and transparent credit scoring. Formal training in economics is not required; strong ML/AI/Statistics skills are an advantage. More details are in the link: shorturl.at/hLMOZ We would appreciate it if you could share the job ad with anyone you think might be interested. With many thanks and kind regards, -- Marcos M. Raimundo -------------- next part -------------- An HTML attachment was scrubbed... URL: From gunnar.blohm at gmail.com Wed Sep 28 09:26:46 2022 From: gunnar.blohm at gmail.com (Gunnar Blohm) Date: Wed, 28 Sep 2022 09:26:46 -0400 Subject: Connectionists: please sign open letter to OSTP on open access Message-ID: Dear colleagues, Please consider signing Neuromatch's open letter to the White House Office of Science and Technology Policy (OSTP) and the Subcommittee on Open Science. We have written this letter in reply to their recent memorandum guaranteeing immediate free access to federally funded research. We think it's important to ensure equitable access to participation in publishing in addition to equitable access to scientific output. You can read more about reasons to sign here . *Or **go straight to the letter to sign here *. Thank you so much in advance for your support and advocacy to make science better. Cheers, Gunnar, on behalf of Neuromatch P.S. please distribute widely -- Dr. Gunnar BLOHM Neuroscience Graduate Coordinator Professor in Computational Neuroscience Queen's U, Kingston, ON, 18 Stuart Str, Botterell Hall Rm 229 http://www.compneurosci.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Wed Sep 28 20:14:18 2022 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Thu, 29 Sep 2022 00:14:18 +0000 Subject: Connectionists: NEURAL NETWORKS, Oct. 2022 Message-ID: Neural Networks - Volume 154, October 2022 https://www.journals.elsevier.com/neural-networks Multimodal neural networks better explain multivoxel patterns in the hippocampus Bhavin Choksi, Milad Mozafari, Rufin VanRullen, Leila Reddy Event stream learning using spatio-temporal event surface Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang Reward prediction errors, not sensory prediction errors, play a major role in model selection in human reinforcement learning Yihao Wu, Masahiko Morita, Jun Izawa QMEDNet: A quaternion-based multi-order differential encoder-decoder model for 3D human motion prediction Wenming Cao, Shuangshuang Li, Jianqi Zhong Brain-inspired meta-reinforcement learning cognitive control in conflictual inhibition decision-making task for artificial agents Federica Robertazzi, Matteo Vissani, Guido Schillaci, Egidio Falotico Estimating heading from optic flow: Comparing deep learning network and human performance Natalie Maus, Oliver W. Layton How does the brain represent the semantic content of an image? Huawei Xu, Ming Liu, Delong Zhang Deep reinforcement learning guided graph neural networks for brain network analysis Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, ... Lifang He Distributed optimized dynamic event-triggered control for unknown heterogeneous nonlinear MASs with input-constrained Lina Xia, Qing Li, Ruizhuo Song, Shuzhi Sam Ge Active learning of causal structures with deep reinforcement learning Amir Amirinezhad, Saber Salehkaleybar, Matin Hashemi Periodic event-triggered adaptive tracking control design for nonlinear discrete-time systems via reinforcement learning Fanghua Tang, Ben Niu, Guangdeng Zong, Xudong Zhao, Ning Xu BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons Dongcheng Zhao, Yi Zeng, Yang Li AdjointBackMap: Reconstructing effective decision hypersurfaces from CNN layers using adjoint operators Qing Wan, Yoonsuck Choe Novel optimal trajectory tracking for nonlinear affine systems with an advanced critic learning structure Ding Wang, Huiling Zhao, Mingming Zhao, Jin Ren A multi-birth metric learning framework based on binary constraints QiangQiang Ren, Chao Yuan, Yifeng Zhao, Liming Yang Subgraph-aware graph structure revision for spatial-temporal graph modeling Yuhu Wang, Chunxia Zhang, Shiming Xiang, Chunhong Pan Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering Siyuan Peng, Zhijing Yang, Feiping Nie, Badong Chen, Zhiping Lin Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, ... Yoshua Bengio MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion Guoquan Dai, Xizhao Wang, Xiaoying Zou, Chao Liu, Si Cen Breaking CAPTCHA with Capsule Networks Ionela Georgiana Mocanu, Zhenxu Yang, Vaishak Belle Context-guided entropy minimization for semi-supervised domain adaptation Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, ... Xifeng Yan Relational local electroencephalography representations for sleep scoring Georg Brandmayr, Manfred Hartmann, Franz Fuerbass, Gerald Matz, ... Georg Dorffner Attention-based random forest and contamination model Lev V. Utkin, Andrei V. Konstantinov Return of the normal distribution: Flexible deep continual learning with variational auto-encoders Yongwon Hong, Martin Mundt, Sungho Park, Yungjung Uh, Hyeran Byun Using source data to aid and build variational state-space autoencoders with sparse target data for process monitoring Yi Shan Lee, Junghui Chen Multivariate time-series classification with hierarchical variational graph pooling Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, ... Wei Wang A portable clustering algorithm based on compact neighbors for face tagging Shenfei Pei, Yuze Zhang, Rong Wang, Feiping Nie Federated learning with workload-aware client scheduling in heterogeneous systems Li Li, Duo Liu, Moming Duan, Yu Zhang, ... Chengliang Wang Neural extraction of multiscale essential structure for network dismantling Qingxia Liu, Bang Wang Simultaneous neural network approximation for smooth functions Sean Hon, Haizhao Yang Finite-time stability of state-dependent delayed systems and application to coupled neural networks Xinyi He, Xiaodi Li, Shiji Song Two-level group convolution Youngkyu Lee, Jongho Park, Chang-Ock Lee SLIDE: A surrogate fairness constraint to ensure fairness consistency Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim Mean-square stabilization of impulsive neural networks with mixed delays by non-fragile feedback involving random uncertainties Xiaoyu Zhang, Chuandong Li, Hongfei Li, Zhengran Cao Extended analysis on the global Mittag-Leffler synchronization problem for fractional-order octonion-valued BAM neural networks Jianying Xiao, Xiao Guo, Yongtao Li, Shiping Wen, ... Yiqian Tang Compressing speaker extraction model with ultra-low precision quantization and knowledge distillation Yating Huang, Yunzhe Hao, Jiaming Xu, Bo Xu Reservoir computing with 3D nanowire networks R.K. Daniels, J.B. Mallinson, Z.E. Heywood, P.J. Bones, ... S.A. Brown Face image-sketch synthesis via generative adversarial fusion Jianyuan Sun, Hongchuan Yu, Jian J. Zhang, Junyu Dong, ... Guoqiang Zhong Sparse signal reconstruction via collaborative neurodynamic optimization Hangjun Che, Jun Wang, Andrzej Cichocki PDE-READ: Human-readable partial differential equation discovery using deep learning Robert Stephany, Christopher Earls Latent neighborhood-based heterogeneous graph representation Yang Xiao, Pei Quan, MingLong Lei, Lingfeng Niu Predictions on multi-class terminal ballistics datasets using conditional Generative Adversarial Networks S. Thompson, F. Teixeira-Dias, M. Paulino, A. Hamilton Heterogeneous Pseudo-Supervised Learning for Few-shot Person Re-Identification Jing Zhao, Long Lan, Da Huang, Jing Ren, Wenjing Yang Physics guided neural networks for modelling of non-linear dynamics Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Wed Sep 28 14:31:49 2022 From: suashdeb at gmail.com (Suash Deb) Date: Thu, 29 Sep 2022 00:01:49 +0530 Subject: Connectionists: ISMSI23 (Kuala Lumpur) submission 2 months awau Message-ID: Dear friends and esteemed colleagues, This is to share with you that the submission deadline for ISMSI 2023 is two months away. For info about Conference Proceedings as well as the SCIE indexed spl. issue, pls. visit the conference web site http://www.ismsi.org As you know, ISMSI is an annual international event of India International Congress on Computational Intelligence (IICCI) http://www.iicci.in Will look forward to receiving your manuscripts in the coming days. Thank you and warm regards, Suash Deb General Chair, ISMSI 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Sep 29 05:32:55 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 29 Sep 2022 12:32:55 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Henning_M?= =?utf-8?q?=C3=BCller=3A_=22Challenges_for_machine_learning_using_m?= =?utf-8?q?edical_data=22=2C_4_October_2022_17=3A00-18=3A00_CEST?= References: <141c01d8c8cf$64468bc0$2cd3a340$@csd.auth.gr> <00e301d8c9b4$b9e74f70$2db5ee50$@csd.auth.gr> <01bb01d8d3c7$e30ad440$a9207cc0$@csd.auth.gr> <004301d8d3df$32189830$9649c890$@csd.auth.gr> Message-ID: <033301d8d3e6$7506ac20$5f140460$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Henning M?ller, a prominent AI researcher internationally, will deliver the e-lecture: ?Challenges for machine learning using medical data?, on Tuesday 4th October 2022 17:00-18:00 CEST (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/99123364723 & Passcode: 148148 Attendance is free. The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe, J. Stefanowski -------------- next part -------------- An HTML attachment was scrubbed... URL: From donatello.conte at univ-tours.fr Thu Sep 29 06:22:28 2022 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Thu, 29 Sep 2022 12:22:28 +0200 Subject: Connectionists: Deadline extension: 2nd Edition of Graph Models for Learning and Recognition (GMLR) Track at 37th ACM-SAC 2022 in Brno, Czech Republic Message-ID: <007901d8d3ed$609188d0$21b49a70$@univ-tours.fr> --------------------------------------- Apologies for multiple copies --------------------------------------- Call for Papers Graph Models for Learning and Recognition (GMLR) Track The 38th ACM Symposium on Applied Computing (SAC 2023) March 27 - April 2, 2023, Tallinn, Estonia http://phuselab.di.unimi.it/GMLR2023 Important Dates =============== Submission of regular papers: October 1, 2022 October 15, 2022 Notification of acceptance/rejection: November 19, 2022 Camera-ready copies of accepted papers: December 6, 2022 SAC Conference: March 27 - April 2, 2023 Motivations and topics ====================== The ACM Symposium on Applied Computing (SAC 2023) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2023 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Tallinn, Estonia. The technical track on Graph Models for Learning and Recognition (GMLR) is the second edition and is organized within SAC 2023. 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 Authors of selected top papers of this track will be asked to publish an extended version in a Special Issue of a high-impact Journal (the journal will be announced later). Track Chairs ============ Donatello Conte (University of Tours) Alessandro D'Amelio (University of Milan) Giuliano Grossi (University of Milan) Raffaella Lanzarotti (University of Milan) Jianyi Lin (Universit? Cattolica del Sacro Cuore) Scientific Program Committee ============================ Annalisa Barla (University of Genoa) Davide Boscaini (Bruno Kessler Foundation) Vittorio Cuculo (University of Milan) Samuel Feng (Sorbonne University) Gabriele Gianini (University of Milan) Alessio Micheli (University of Pisa) Carlos Oliver (ETH Z?rich) Maurice Pagnucco (University of New South Wales) Ryan A. Rossi (Adobe Research) Jean-Yves Ramel (University of Tours) (others to be confirmed) 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. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Samuel.Neymotin at nki.rfmh.org Thu Sep 29 11:37:04 2022 From: Samuel.Neymotin at nki.rfmh.org (Neymotin, Samuel (NKI)) Date: Thu, 29 Sep 2022 15:37:04 +0000 Subject: Connectionists: Computational Neuroscience Position Message-ID: A computational neuroscience postdoc position is available at the Nathan Kline Institute for Psychiatric Research (https://www.nki.rfmh.org) to work on recently awarded grants from NIH (MPI: Schroeder, Bickel, Neymotin) and ARO (PI: Neymotin). The NIH project aims to investigate the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory system, using a combination of electrophysiology and biophysical circuit modeling of the thalamocortical system. The ARO project involves developing circuit models of the hippocampus interfaced with virtual agents, and training the agents/models to perform spatial navigation tasks using biologically-inspired learning rules. Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural data analysis, machine learning, and writing/presenting research. To find out more, email Sam Neymotin (samuel.neymotin at nki.rfmh.org). To apply, send a CV and cover letter. NKI is an equal opportunity employer. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From anna.kalenkova at adelaide.edu.au Thu Sep 29 21:53:15 2022 From: anna.kalenkova at adelaide.edu.au (Anna Kalenkova) Date: Fri, 30 Sep 2022 01:53:15 +0000 Subject: Connectionists: CAiSE 2023 -- Call for Workshop Proposals Message-ID: CALL FOR WORKSHOP PROPOSALS ********************************************************************************************** CAiSE 2023 - 35th International Conference on Advanced Information Systems Engineering 12 - 16 June 2023 Zaragoza, Spain https://caise23.svit.usj.es ********************************************************************************************** CAiSE 2023 invites proposals for workshops to be held in conjunction with the main conference, covering new emerging topics and targeting innovative papers in special focus areas within the domain of Information Systems engineering. Two kinds of workshops are invited: Presentation-oriented workshops These will concentrate on presentations of accepted papers and discussions of these papers. The proceedings of these workshops are intended to be published as one volume in the Springer LNBIP series. Discussion-oriented workshops These will emphasize discussions facilitated by paper presentations. Since the main criterion for paper acceptance in such workshops is relevance and potential for raising discussion, they are not expected to have their proceedings in the Springer LNBIP volume. SUBMISSION When: by 18th October 2022 How: via https://easychair.org/conferences/?conf=caise2023 Please select the Author role and the Workshops track. Prior contact with the workshop chairs Pnina Soffer (spnina at is.haifa.ac.il) and Marcela Ruiz (ruiz at zhaw.ch) is encouraged. For the detailed instructions please check: https://caise23.svit.usj.es/workshop/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From er.anubajaj at gmail.com Fri Sep 30 01:50:41 2022 From: er.anubajaj at gmail.com (Anu Bajaj) Date: Fri, 30 Sep 2022 11:20:41 +0530 Subject: Connectionists: Deadline Extension: International Joint Conferences Online - Published by Springer LNNS Series (Scopus) Message-ID: ** Please circulate this CFP to your colleagues and networks! Many thanks in advance ** ------------On multiple requests from several authors, we have extended the submission deadline till October 20, 2022--------------- ** ISDA 2022 - HIS 2022 - SoCPaR 2022 - IBICA 2022 - IAS 2022 - NaBIC 2022 - WICT 2022 ** Publisher: Springer Verlag, LNNS Series Indexed by: SCOPUS, DBLP, INSPEC, SCImago etc. **Important Dates** --------------------- Paper submission due (Extended deadline): September 30, 2022 (October 20, 2022) Notification of paper acceptance : October 31, 2022 Registration and Final manuscript due : November 15, 2022 Conferences: December 12-17, 2022 -- 22nd International Conference on Intelligent Systems Design and Applications (ISDA?22) http://www.mirlabs.net/isda22 Proceedings of ISDA?21: https://link.springer.com/book/10.1007/978-3-030-96308-8 Submission link: https://easychair.org/conferences/?conf=isda2022 -- 22nd International Conference on Hybrid Intelligent Systems (HIS'22) http://www.mirlabs.net/his22 Proceedings of HIS'21: https://link.springer.com/book/10.1007/978-3-030-96305-7 Submission link: https://easychair.org/conferences/?conf=his20220 -- 18th International Conference on Information Assurance and Security (IAS 2022) http://www.mirlabs.org/ias22 Proceedings of IAS'21: https://link.springer.com/book/10.1007/978-3-030-96305-7 Submission link: https://easychair.org/conferences/?conf=ias20220 -- 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) http://www.mirlabs.org/socpar22 Proceedings of SoCPaR'21: https://link.springer.com/book/10.1007/978-3-030-96302-6 Submission link: https://easychair.org/conferences/?conf=socpar2022 -- 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022) http://www.mirlabs.net/nabic22 Proceedings of NaBIC'21: https://link.springer.com/book/10.1007/978-3-030-96302-6 Submission link: https://easychair.org/conferences/?conf=nabic2022 -- 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA'22) http://www.mirlabs.net/ibica22 Proceedings of IBICA'21: https://link.springer.com/book/10.1007/978-3-030-96299-9 Submission link: https://easychair.org/conferences/?conf=ibica2022 -- 12th World Congress on Information and Communication Technologies (WICT'22) http://www.mirlabs.org/wict22 Proceedings of WICT'21: https://link.springer.com/book/10.1007/978-3-030-96299-9 Submission link: https://easychair.org/conferences/?conf=wict2022 ** Plenary Talks ** ------------------ Speaker 1: Catarina Silva, University of Coimbra, Portugal Speaker 2: Chuan-Kang Ting, National Tsing Hua University, Taiwan Speaker 3: Joanna Kolodziej, Cracow University of Technology, Poland Speaker 4: Kaisa Miettinen, University of Jyvaskyla, Finland Speaker 5: Kaspar Riesen, University of Bern, Switzerland Speaker 6: Katherine Malan, University of South Africa, South Africa Speaker 7: Maki Sakamoto, The University of Electro-Communications, Japan Speaker 8: M?rio Antunes, Polytechnic Institute of Leiria, Portugal Speaker 9: Patricia Melin, Tijuana Institute of Technology, Mexico Speaker 10: Ren? Natowicz, ESIEE-Paris - Universit? Gustave Eiffel, France Speaker 11: Yifei Pu, Sichuan University, China Speaker 12: Patrik Christen, FHNW, Institute for Information Systems, Switzerland ** About the International events ** ------------------------------------- Provides an international forum to share the latest research results, ideas and experiences in intelligent systems design and applications; soft computing; information assurance and security; nature-inspired computing, pattern recognition; and information and communication technologies by bringing together the leading communities in this research space. These events are built on a solid history, through ISDA to WICT, connecting young researchers with highly experienced peers to forge connections, which can last for many years. ** Topics (not limited to) ** ----------------------------- Intelligent Systems and Applications Hybrid Intelligent Systems Soft Computing and Pattern Recognition Nature and Biologically Inspired Computing Innovations in Bio-Inspired Computing and Applications Information and Assurance Security Innovations in Information and Communication Technologies Wireless Networks Data Mining IoT, Cloud Computing Software Engineering Digital Learning Cybersecurity **Submission Guidelines** ------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324 **Technical Contact** --------------------- Dr. Ajith Abraham Email: ajith.abraham at ieee.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Thu Sep 29 16:42:03 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Thu, 29 Sep 2022 22:42:03 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Technical_Sessions=3B_FedCSIS_?= =?utf-8?q?2023=3B_CORE_Ranked_B=3B_IEEE=23_57573=3B_70_punkt=C3=B3w_MEiN?= In-Reply-To: References: Message-ID: <4311776e-76f9-ba6f-c107-fbe6d0cef1b1@amu.edu.pl> Call for Technical Sessions 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023) Warsaw, Poland, 17-20 September 2023 CORE Ranked B conference; IEEE# 57573 www.fedcsis.org The 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023) cordially invites you to contribute a Technical Session (conference, symposium, workshop, consortium meeting, project dissemination meeting, special session, etc.). The FedCSIS conferences consist of five Tracks that contain Technical Sessions. Many of them are the recurring yearly events, but we also solicit and welcome proposals for new Technical Sessions, until November 14, 2022. Moreover, the existing events that would like to join the FedCSIS conference series, are also welcome. The Technical Sessions can run over any span of time within the conference dates; from half-day to three days. FedCSIS is a large rigorous scientific conference staged across Europe. Annually, it attracts ~300 submissions from ~40 countries from around the world. Papers are accepted in three categories: regular (full and short), position, and communication. All regular, presented, papers are submitted to IEEE Xplore Digital Library, and many are offered post-publication opportunities (journals, Springer volumes, etc.) after appropriate extensions and changes. Position and communication papers are published in separate volumes of the Annals of Computer Science and Information Systems series. All papers are published with ISBN, ISSN and DOI numbers, and submitted to, and indexed in, the most influential indexing services. Since 2012, the FedCSIS Proceedings are indexed in SCOPUS. Any newly proposed Technical Session will be evaluated on the basis of scientific/technical interest and/or its relevance to practitioners in its topics, the clarity of the proposal in addressing the requested information, the innovativeness of the topics, level of correspondence and ?value-added? to the denoted FedCSIS track, i.e.: * Advanced Artificial Intelligence in Applications * Computer Systems and Simulations * Network Systems and Applications * Information Technology for Business & Society * Software and Systems Development Call for Papers for Technical Sessions will be announced by three means: (1) by FedCSIS Chairs in generic Calls for Conference Papers, to reach out to the computer science and intelligence systems researchers at large; (2) by Track Chairs in Calls for Track Papers, to reach out to the researchers specifically interested in track topics; (3) by Technical Session Chairs in Calls for Technical Session Papers, to reach out to the professional communities involved in research addressed by the Technical Session. All papers will have to be submitted to the FedCSIS Conference System (EasyChair). The submitters will have to select a Track/Technical Session (event) within which their paper will be reviewed for acceptance. Technical Session proposals should include the following information (3 pages maximum): 1. The nature of the Technical Session (conference, symposium, workshop, consortium meeting, project dissemination meeting, special session, etc.). 2. The title and acronym of the Technical Session, and the list of topics. 3. A brief explanation of why the proposed event will fit into the FedCSIS aims and program. 3. The contact information of the Technical Session chairs, including links to their personal websites, and an overview of previous experiences with organization of scientific events. 4. Preliminary list of PC members who have agreed (or are likely to agree) to join. 5. Indication of the expected number of papers/attendees. 6. Information about planned post-publications of extended and revised papers in high-quality journals, edited volumes, etc. Technical Session organizers should email their proposals (in a single pdf file) by November 14, 2022 to the FedCSIS Secretariat at: secretariat at fedcsis.org More information concerning FedCSIS and its scientific, organization and financial rules can be found at: https://www.fedcsis.org From georg.dorffner at meduniwien.ac.at Thu Sep 29 11:57:10 2022 From: georg.dorffner at meduniwien.ac.at (Georg Dorffner) Date: Thu, 29 Sep 2022 17:57:10 +0200 Subject: Connectionists: PostDoc position: Machine Learning in [Bio]Medicine, Medical University of Vienna Message-ID: PostDoc or Junior Group Leader: Machine Learning in [Bio]Medicine Medical University of Vienna Institut f?r Artificial Intelligence Vienna, Austria We are recruiting an ambitious scientist who wants to pursue a career in machine learning and establish a leading research pro-gram with applications in precision medicine or high-throughput biology. The successful candidate will be based at the Institute of Artificial Intelligence at the Medical University of Vienna, with ample opportunities to integrate into the Austrian and European research landscape, including the European Lab for Learning and Intelligent Systems (ELLIS). This call is open to early-stage re-searchers who want to pursue cutting-edge research, and to more senior candidates seeking to establish an independent research group. A tenure-track option is available for exceptional candidates. The Goal Machine learning is transforming medicine, for example enabling physicians to incorporate vast amounts of data and knowledge into each of their clinical decisions. Machine learning also advances our understanding of the biology that underlies human dis-eases, with the future perspectives of identifying the key molecular mechanisms in each individual patient and devising personal-ized therapies. Researchers at the Medical University of Vienna, together with the CeMM Research Center for Molecular Medicine and the Austrian Academy of Sciences, are working to establish an ambitious research program focusing on ?Machine Learning in [Bio]Medicine?, with three pillars: (i) methodological research in machine learning, e.g. focusing on interpretable deep learning, causal modeling, federated machine learning, and/or time series analysis; (ii) proof-of-concept applications in biology and medi-cine, including personalized medicine and systems biology; (iii) dissemination and impact through sustainable clinical applications, contribution to international consortia, creation of startup companies, and a commitment to research-centric teaching and public outreach. The successful candidate will contribute creatively and proactively to one or more of these directions. The Candidate We are looking for candidates who want to pursue cutting-edge research in the wider field of ?Machine Learning in [Bio]Medicine?. A typical background would be a PhD in machine learning, computer science, statistics, bioinformatics or in an-other quantitative field, ideally combining methodologically and applied research (in any field). We are open to early-stage candi-dates who have recently completed their PhD or will do so within the next year ? but also to candidates who have already collected initial postdoctoral research experience and are eager to proceed with their scientific career. The position includes ample opportu-nities for advancing a research career, developing academic leadership skills, engaging in international collaborations, and con-tributing to the advancement of medicine through computational research. The university provides an excellent employee benefits package. The expected starting salary is EUR 55,000 to EUR 60,000 per year (gross). Through the ELLIS network or other consortia, there is the option for a research stay abroad in a leading machine learning lab with complementary expertise. The Host Institution The Medical University of Vienna is Europe?s largest medical school and one of the oldest in the world. It was founded in 1365 as the medical faculty of the University of Vienna, and it operates as an autonomous university since 2004. Physicians at the Medical University treat ~95,000 patients per year as inpatients and ~500,000 as outpatients, creating major opportunities for data-driven research. The Medical University has a dedicated data science department (CeMSIIS), with research in statistics, medical informat-ics, complexity sciences, and other areas. In this department, the Institute of Artificial Intelligence (AI Institute) seeks to advance biomedical research and clinical practice through methods development, applications, and teaching in machine learning and arti-ficial intelligence. The AI Institute is directed by Christoph Bock (https://tinyurl.com/chrbock), who is Professor of [Bio]Medical Informatics at the Medical University of Vienna and Principal Investigator at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences. He is a member of the Human Cell Atlas, fellow of ELLIS, and recipient of important research awards (Otto Hahn Medal, ERC Starting Grant, ERC Consolidator Grant, Overton Prize, Erwin Schr?dinger Prize). The AI Institute currently hosts two additional group leaders and their research groups: Georg Dorffner (https://tinyurl.com/gdorffner), who is the vice president of the Austrian Society for Artificial Intelligence, and Matthias Samwald (https://tinyurl.com/samwald ), who coordi-nates a major EU project that implements computational methods in clinical practice. Moreover, the Medical University comprises a rapidly growing cluster of machine learning researchers in areas spanning radiology, dermatology, bioinformatics, and synthetic biology. Please send your application to sec-ai(at)meduniwien.ac.at. The application e-mail should include a cover letter, CV, and academic transcripts, ideally combined into a single PDF document. Any application received by 9 October 2022 will be considered. Start dates are very flexible. -------------- next part -------------- An HTML attachment was scrubbed... URL: From stolu at dtu.dk Fri Sep 30 07:53:06 2022 From: stolu at dtu.dk (Silvia Tolu) Date: Fri, 30 Sep 2022 11:53:06 +0000 Subject: Connectionists: Research Assistant in Neuromorphic Computing and Signal Processing at Technical University of Denmark In-Reply-To: References: Message-ID: The Department of Electrical and Photonics Engineering at DTU is seeking a qualified candidate for a 6-month research assistant position in neuromorphic computing and signal processing. Responsibilities and qualifications Do you have a passion for cross-disciplinary research spanning the fields of biology and engineering? If so, you might be well-suited to join our neurorobotics team within the Automation and Control (AUT) group. When starting a position, you will become part of AUT spanning a wide range of competencies in robotics and autonomous systems. Additionally, you will gain access to state-of-the-art facilities allowing you to develop your technical skills in a productive and motivating environment. The research assistant position is granted by the Lundbeck Foundation under the LF-Experiment project LOCOPD led by the principal investigator, Associate Professor Silvia Tolu. LOCOPD project focuses on understanding the motor impairments experienced by people living with Parkinson?s Disease (PD). The project contributes to the main vision of our neurorobotics technology lab to apply biological control concepts both in simulation and on physical robots to investigate neuroscientific hypotheses on biological processes related to motor control and learning. The research assistant will help the team in the investigation of the breakdown in motor circuitry associated with PD. Their tasks will range from the development of spiking neural networks to the implementation of protocols for testing and analysis of the network output. As a formal qualification, you must have a master?s degree in engineering or equivalent at the time of recruitment. The ideal candidate holds a degree in neuromorphic engineering, computational neuroscience, or another relevant field. The candidate should have strong programming skills and experience with signal processing. In addition, the following is highly recommended: * Proficiency in Python and/or C++ * Familiarity with Linux * Understanding of the human central nervous system * Knowledge and implementation experience within spiking neural networks * Experience with neural simulation tools (ex. NEST, Neuron, Brian, etc.) * Excellent methodological skills and an analytical mindset, ability to work both independently and as a member of a research team * Experience with statistical analysis tools * Solid communication skills in English, both oral and written We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation, and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is six month. Starting date will be the 1 December 2022 or upon agreement. You can read more about career paths at DTU here. Further information Further information may be obtained from Associate Professor Silvia Tolu, e-mail: stolu at dtu.dk. If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU ? Moving to Denmark. Application procedure Your complete online application must be submitted no later than 21 October 2022 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: * Application (cover letter) * CV * Academic Diplomas (MSc) * Grade transcripts * Up to 2 reference letters Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. You can read more about the Department of Automation and Control at www.aut.elektro.dtu.dk and the Department of Electrical and Photonics Engineering at www.electro.dtu.dk. You will have access to our cutting-edge labs for experimental activities. Best regards / Med Venlig Hilsen, [Logo Description automatically generated] Silvia Tolu Associate Professor Neuro-Robotics Technology LAB (NRT-LAB) https://bioroboticsdtu.wordpress.com/ Associate Editor for Frontiers Neurorobotics Journal Automation and Control Group Department of Electrical and Photonics Engineering (DTU ELECTRO) Technical University of Denmark ------------------------------------ Elektrovej Building 326, room 106 2800 Kgs. Lyngby Direct +45 45253928 email: stolu at elektro.dtu.dk -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Fri Sep 30 10:48:46 2022 From: evomusart at gmail.com (EvoMUSART) Date: Fri, 30 Sep 2022 16:48:46 +0200 Subject: Connectionists: Call for Papers - EvoMUSART 2023 (12-14 April 2023) Message-ID: ------------------------------------------------ Call for papers for the 12th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) Please distribute ? Apologies for cross-posting ------------------------------------------------ The 12th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will take place in Brno (Czech Republic) between the 12th and 14th of April of 2023, as part of the evo* event. EvoMUSART webpage: http://www.evostar.org/2023/evomusart/ *Submission deadline*: 1 November 2022 *Conference*: 12-14 April 2023 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 artist fields such as Visual Art, Music, Architecture, Video, Digital Games, Poetry, or Design. This conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area. Submissions must be at most 16 pages long, in Springer LNCS format. Each submission must be anonymised 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/or functional criteria; * Systems that resort to artificial intelligence to perform the analysis of image, music, sound, sculpture, or some other types of artistic objects; * Systems in which artificial intelligence is used to promote the creativity of a human user; * Theories or models of computational aesthetics; * Computational models of emotional response, surprise, novelty; * Representation techniques for images, videos, music, etc.; * Surveys of the current state-of-the-art in the area; * New ways of integrating the user in the process (e.g. improvisation, co-creation, participation). More information on the submission process and the topics of EvoMUSART: https://www.evostar.org/2023/evomusart Flyer of EvoMUSART 2023: https://www.evostar.org/2023/flyers/evomusart Papers published in EvoMUSART: https://evomusart-index.dei.uc.pt We look forward to seeing you in EvoMUSART 2023! The EvoMUSART 2023 organisers Colin Johnson Nereida Rodr?guez-Fern?ndez S?rgio Rebelo (publication chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From avinashsingh214 at gmail.com Fri Sep 30 10:56:36 2022 From: avinashsingh214 at gmail.com (Avinash K Singh) Date: Sat, 1 Oct 2022 00:56:36 +1000 Subject: Connectionists: SI: Advances and Challenges to Bridge Computational Intelligence and Neuroscience for Brain-computer Interface (Last date: 14th Oct 2022) In-Reply-To: References: Message-ID: Dear All, Brain-computer interfaces (BCIs) are a highly interdisciplinary research field consisting of researchers from neuroscience, mathematics, computer science, engineering, etc. They contribute to BCIs by developing and proposing new methods, techniques, BCI paradigms, brain signals recording methods, devices, and generating lots of information and data. Although most of the information is regularly available from peer-reviewed platforms and shared over open access data and method repository, it faces an incredible challenge in interpreting, reusing, comparing, and benchmarking. This challenge is growing significantly between computational intelligence and neuroscience research due to the current flow of readily available tools and devices. In this context, we welcome studies that help find a unique approach to solve the problem of unifying computational intelligence and the neuroscience community for BCI development. Therefore, we are looking for research studies on different techniques in machine learning, novel framework in BCI, unified format for terminologies and representation, automated tool to convert large open-source datasets, case studies of a converted dataset. We welcome original research, review, methods, and perspective articles that cover, but are not limited to, the following topics: - Novel frameworks for BCI data resharing - Unified functional models of BCI - Automated machine learning tools and pipelines to populate metadata in BCI - Methods, techniques, and tools to convert large open BCI dataset into a unified format - Benchmarking approaches for BCI Topic Editor(s): - Avinash Kumar Singh, University of Technology Sydney, Sydney, Australia - Luigi Bianchi, University of Rome Tor Vergata, Roma, Italy - Davide Valeriani, Neurable Inc., Boston, United States - Masaki Nakanishi, Institute for Neural Computation, University of California, San Diego, San Diego, United States *Last date of submission: 14th Oct 2022* This topic is cross listed in *three journals* and you can submit to any of them: - Neurotechnology and Systems Neuroergonomics - *Frontiers in Neuroergonomics* - Human-Media Interaction - *Frontiers in Psychology* - Human-Media Interaction - *Frontiers in Computer Science* Research Topic Title: *Advances and Challenges to Bridge Computational Intelligence and Neuroscience for Brain-computer Interface* Here are quick links to: - Submission Link: https://www.frontiersin.org/research-topics/27045 - Author guidelines: https://www.frontiersin.org/about/author-guidelines - List of article types and publishing fees: https://www.frontiersin.org/about/publishing-fees Kind Regards, Dr Avinash K Singh Topic Editor, Neurotechnology and Systems Neuroergonomics Section, Frontiers in Neuroergonomics -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Fri Sep 30 19:46:05 2022 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Fri, 30 Sep 2022 19:46:05 -0400 Subject: Connectionists: FW: illusion submission deadline EXTENDED until October 14th: the 2022 Best Illusion of the Year Contest In-Reply-To: <000001d8d51d$0d1075a0$273160e0$@neuralcorrelate.com> References: <0ba801d792f8$b73f4280$25bdc780$@neuralcorrelate.com> <0d9301d7931c$4f7ae360$ee70aa20$@neuralcorrelate.com> <0da201d7931c$7c0c0990$74241cb0$@neuralcorrelate.com> <00da01d8bf12$c3cc43d0$4b64cb70$@neuralcorrelate.com> <012501d8bf14$15b8bfb0$412a3f10$@neuralcorrelate.com> <015201d8bf14$bff4c410$3fde4c30$@neuralcorrelate.com> <0b6b01d8d127$3ed92ea0$bc8b8be0$@neuralcorrelate.com> <0d3e01d8d128$474a0540$d5de0fc0$@neuralcorrelate.com> <0d5c01d8d128$abbdcf70$03396e50$@neuralcorrelate.com> <0d6b01d8d128$ffacee90$ff06cbb0$@neuralcorrelate.com> <0dff01d8d129$608a2480$219e6d80$@neuralcorrelate.com> <0e0e01d8d129$96a1a570$c3e4f050$@neuralcorrelate.com> <000001d8d51d$0d1075a0$273160e0$@neuralcorrelate.com> Message-ID: <007201d8d526$cece26c0$6c6a7440$@neuralcorrelate.com> ***Due to popular demand and in consideration of difficulties imposed by the Covid-19 pandemic*** The deadline for the 18th annual Best Illusion of the YearSM Contest has been extended. The FINAL submission date is now *Friday, October 14th* http://illusionoftheyear.com We are happy to announce the 18th edition of world's Best Illusion of the YearSM Contest!! 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 2021) 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 2022 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 ( smart at neuralcorrelate.com) until October 14th, 2022. 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 gracewlindsay at gmail.com Fri Sep 30 12:42:53 2022 From: gracewlindsay at gmail.com (Grace Lindsay) Date: Fri, 30 Sep 2022 12:42:53 -0400 Subject: Connectionists: Workshop on Attention - Deadline extended to Oct 3! Message-ID: The deadline to submit your attention-related papers has been extended to **Oct 3**! On behalf of the co-organizers, we would like to invite you to submit your work to our NeurIPS workshop on ?All things Attention: Bridging Different Perspectives on Attention?. The details of the workshop and submission instructions are as follows: The Thirty Sixth Conference on Neural Information Processing Systems (NeurIPS) Dec 2, 2022 NeurIPS 2022 is a hybrid Conference https://attention-learning-workshop.github.io/ The All Things Attention workshop aims to foster connections across disparate academic communities that conceptualize "Attention" such as Neuroscience, Psychology, Machine Learning, and Human-Computer Interaction. Workshop topics of interest include (but are not limited to): 1. Relationships between biological and artificial attention 1. What are the connections between different forms of attention in the human brain and present deep neural network architectures? 2. Can the anatomy of human attention models provide useful insights to researchers designing architectures for artificial systems? 3. Given the same task and learning objective, do machines learn attention mechanisms that are different from humans? 1. Attention for reinforcement learning and decision making 1. How have reinforcement learning agents leveraged attention in decision making? 2. Do decision-making agents today have implicit or explicit formalisms of attention? 3. How can AI agents build notions of attention without explicitly baked in notions of attention? 4. Can attention significantly enable AI agents to scale e.g. through gains in sample efficiency, and generalization? 2. Benefits and formulation of attention mechanisms for continual / lifelong learning 1. How can continual learning agents optimize for retention of knowledge for tasks that it already learned? 2. How can the amount of interference between different inputs be controlled via attention? 3. How does the executive control of attention evolve with learning in humans? 4. How can we study the development of attentional systems in infancy and childhood to better understand how attention can be learned? 3. Attention as a tool for interpretation and explanation 1. How have researchers leveraged attention as a visualization tool? 2. What are the common approaches when using attention as a tool for interpretability in AI? 3. What are the major bottlenecks and common pitfalls in leveraging attention as a key tool for explaining the decisions of AI agents? 4. How can we do better? 4. The role of attention in human-computer interaction and human-robot interaction 1. How do we detect aspects of human attention during interactions, from sensing to processing to representations? 2. What systems benefit from human attention modeling, and how do they use these models? 3. How can systems influence a user?s attention, and what systems benefit from this capability? 4. How can a system communicate or simulate its own attention (humanlike or algorithmic) in an interaction, and to what benefit? 5. How do attention models affect different applications, like collaboration or assistance, in different domains, like autonomous vehicles and driver assistance systems, learning from demonstration, joint attention in collaborative tasks, social interaction, etc.? 6. How should researchers thinking about attention in different biological and computational fields organize the collection of human gaze data sets, modeling gaze behaviors, and utilizing gaze information in various applications for knowledge transfer and cross-pollination of ideas? 5. Attention mechanisms in Deep Neural Network (DNN) architectures 1. How does attention in DNN such as transformers relate to existing formalisms of attention in cogsci/psychology? 2. Do we have a concrete understanding of how and if self-attention in transformers contributes to its vast success in recent models such as GPT2, GPT3, DALLE.? 3. Can our understanding of attention from other fields inform the progress we have achieved in recent breakthroughs? SUBMISSION INSTRUCTIONS We invite you to submit papers (up to 9 pages for long papers and up to 5 pages for short papers, excluding references and appendix) in the NeurIPS 2022 format. All submissions will be managed through OpenReview (submission website ). The final submission including main paper, references and appendix should not exceed 12 pages. Supplementary Materials uploads are to only be used optionally for extra videos/code/data/figures and should be uploaded separately in the submission website. The review process is double-blind so the submission should be anonymized. Accepted work will be presented as posters during the workshop, and select contributions will be invited to give spotlight talks during the workshop. Each accepted work entering the poster sessions will have an accompanying pre-recorded 5-minute video. Please note that at least one coauthor of each accepted paper will be expected to have a NeurIPS conference registration and participate in one of the poster sessions. Submissions will be evaluated based on novelty, rigor, and relevance to the theme of the workshop. Both empirical and theoretical contributions are welcome. Submissions should not have previously appeared in a journal or conference (including accepted papers to NeurIPS 2022) and should not be submitted to another NeurIPS workshop. Submissions must adhere to the NeurIPS Code of Conduct. The focus of the work should relate to the list of the topics specified below. The review process will be double-blind and accepted submissions will be presented as virtual talks or posters. There will be no proceedings for this workshop, however, authors can opt to have their abstracts/papers posted on the workshop website. We encourage submissions on the following topics from the focus of bridging different perspectives on attention: - Relationships between biological and artificial attention - Attention for reinforcement learning and decision making - Benefits and formulation of attention mechanisms for continual / lifelong learning - Attention as a tool for interpretation and explanation - The role of attention in human-computer interaction and human-robot interaction - Attention mechanisms in Deep Neural Network (DNN) architectures Please submit your papers via the following link: submission website IMPORTANT DATES * Submission deadline: Oct 3 Sep 15, 2022 at 11:59PM (AOE) submission website * Camera-ready (final) paper deadline: Nov 25, 2022 at 11:59PM (Anywhere on earth) * Workshop: Dec 2, 2022 CONFIRMED SPEAKERS & PANELISTS Speakers: Pieter Roelfsema (Netherlands Institute for Neuroscience) James Whittington (University of Oxford) Ida Momennejad (Microsoft Research) Erin Grant (UC Berkeley) Henny Admoni (Carnegie Mellon University) Tobias Gerstenberg (Stanford University) Vidhya Navalpakkam (Google Research) Shalini De Mello (NVIDIA) Panelists: David Ha (Google Brain) Pieter Roelfsema (Netherlands Institute for Neuroscience) James Whittington (University of Oxford) Ida Momennejad (Microsoft Research) Henny Admoni (Carnegie Mellon University) Tobias Gerstenberg (Stanford University) Shalini De Mello (NVIDIA) Ramakrishna Vedantam (Meta AI Research) Megan deBettencourt (University of Chicago) Cyril Zhang (Microsoft Research) ORGANIZERS Akanksha Saran (Microsoft Research, NYC) Khimya Khetarpal (McGill University, Mila Montreal) Reuben Aronson (Carnegie Mellon University) Abhijat Biswas (Carnegie Mellon University) Ruohan Zhang (Stanford University) Grace Lindsay (University College London, New York University) Scott Neikum (University of Texas at Austin, University of Massachusetts) REGISTRATION Participants should refer to the NeurIPS 2022 website ( https://neurips.cc/Conferences/2022/Dates) for information on how to register. CONTACT Please reach out to us at attention-workshop at googlegroups.com if you have any questions. We look forward to receiving your submissions! Kind Regards, Workshop Organizers All things Attention- Bridging different perspectives on attention -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Fri Sep 30 14:34:11 2022 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Fri, 30 Sep 2022 20:34:11 +0200 Subject: Connectionists: Postdoc in Trustworthy AI at UNamur Message-ID: Dear colleagues, I am recruting a new postdoc for the ARIAC project supported by Digital Wallonia.AI and the SPW Recherche that gathers tens of researchers accross Wallonia in artificial intelligence. She/he will do research in the "trust mechanisms for AI" workpackage and help me to lead this workpackage.? She/he will be integrated in the Human Centered Machine Learning (HuMaLearn - https://humalearn.info.unamur.be) team at UNamur with around 10 other PhD and postdoc researchers and she/he will have collaboration opportunities thanks to the interdisplinary approach of ARIAC and of HuMaLearn. Please spread the work and do not hesitate to contact me for further details. https://jobs.unamur.be/emploi.2022-09-13.7042797172/view Best regards, Beno?t Fr?nay -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Fri Sep 30 18:33:50 2022 From: jkrichma at uci.edu (Jeffrey L Krichmar) Date: Fri, 30 Sep 2022 15:33:50 -0700 Subject: Connectionists: Extended deadline (Nov 30): Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience? References: <20CD98D2-023C-4334-9AF9-5D38B51165F3@uci.edu> Message-ID: Dear Connectionists, Due to numerous requests, we have extended the deadline for submitting a paper to the Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience? New Submission deadline: November 30, 2022 https://www.springer.com/journal/422/updates/20421374 This special issue invites original research and review articles related to topics in biological vision that can potentially benefit computer vision systems. The following is a non exhaustive list of topics in biological vision that can also benefit computer vision systems. ? Active vision?s role in visual search, scene understanding, social interactions, etc. ? Learning in the visual system. Learning in biology is continual, few-shot, and adversarially robust. ? The roles of recurrent and top-down connections in the visual cortex. ? Spike based spatiotemporal processing and its implications for neuromorphic vision. ? Motion perception in dynamic environments. ? Neural coding schemes in the visual system (e.g., sparse coding, predictive coding, and temporal coding.) ? The roles of attention mechanisms in biological vision. How to submit: Please submit your manuscript using the journal online submission system following the Biological Cybernetics submission guidelines. Guest Editors: Kexin Chen - Department of Cognitive Sciences, University of California, Irvine Hirak J. Kashyap - Department of Computer Science, University of California, Irvine Jeffrey L. Krichmar - Department of Cognitive Sciences, Department of Computer Science, University of California, Irvine Xiumin Li - College of Automation, Chongqing University, Chongqing, China If you have any questions, please reach out to one of the guest editors. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma -------------- next part -------------- An HTML attachment was scrubbed... URL: