From david at irdta.eu Sat Nov 2 08:44:55 2024 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 2 Nov 2024 08:44:55 +0100 (CET) Subject: [Neuroinfo] DeepLearn 2025: early registration November 26 Message-ID: <1257506491.2096612.1730533495436@webmail.strato.com> ****************************************************** 12th INTERNATIONAL SCHOOL ON DEEP LEARNING (with a special focus on Large Language Models, Foundation Models and Generative AI) DeepLearn 2025 Porto ? Maia, Portugal July 21-25, 2025 https://deeplearn.irdta.eu/2025/ ****************************************************** Co-organized by: University of Maia Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************** Early registration: November 26, 2024 ****************************************************** SCOPE: DeepLearn 2025 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth, Bari, Las Palmas de Gran Canaria and Porto. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedicine and health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, etc. etc. The field is also raising a number of relevant questions about robustness of the algorithms, explainability, transparency, interpretability, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion. Most deep learning subareas will be displayed, and main challenges identified through 18 four-hour and a half courses, 2 keynote lectures, 1 round table and a hackathon competition among participants. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. DeepLearn 2025 will place special emphasis on large language models, foundation models and generative artificial intelligence. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2025 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2025 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be: University of Maia Avenida Carlos de Oliveira Campos - Cast?lo da Maia 4475-690 Maia Porto, Portugal https://www.umaia.pt/en STRUCTURE: 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their technical developments for 10 minutes. The school will include a hackathon, where participants will be able to work in teams to tackle several machine learning challenges. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yonina Eldar (Weizmann institute of Science), Model Based AI and Applications Manuela Veloso (JPMorganChase), AI, Humans, and Robots for Task Solving PROFESSORS AND COURSES: (to be completed) Pierre Baldi (University of California Irvine), [intermediate/advanced] From Deep Learning and Transformers to AI Risks and Safety Sean Benson (Amsterdam University Medical Center), [intermediate] Digital Twins and Generative AI for Personalised Medicine Nello Cristianini (University of Bath), tba Mark Derdzinski (Dexcom), [introductory] From Prototype to Production: Evaluation Strategies for Agentic Applications Samira Ebrahimi Kahou (University of Calgary), [intermediate/advanced] Explainability in Machine Learning Elena Giusarma (Michigan Technological University), [introductory/intermediate] Machine Learning at the Frontier of Astrophysics: Simulating the Universe Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering Xia "Ben" Hu (Rice University), [introductory/advanced] Efficient LLM Serving: Algorithms, Systems and Applications Lu Jiang (ByteDance & Carnegie Mellon University), tba Jayashree Kalpathy-Cramer (University of Colorado), [introductory/intermediate] Multimodal AI for Healthcare Yingbin Liang (Ohio State University), [intermediate/advanced] Theory on Training Dynamics of Transformers Chen Change Loy (Nanyang Technological University), [intermediate/advanced] Harnessing Prior for Content Enhancement and Creation Preslav Nakov (Mohamed bin Zayed University of Artificial Intelligence), tba Evan Shelhamer (DeepMind), [intermediate] Test-Time Adaptation for Updating Models on New and Different Data Atlas Wang (University of Texas Austin), [intermediate] Low Rank Strikes Back in the Era of Large Language Models Xiang Wang (University of Science and Technology of China), [advanced] Large Language Models for User Behavior Modeling: Cross-Modal Interpretation, Preference Optimization, and Agentic Simulation Rex Ying (Yale University), [intermediate/advanced] Multimodal Foundation Models for Graph-Structured Data: Framework and Scientific Applications OPEN SESSION: An open session will collect 5-minute voluntary oral presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 13, 2025. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 13, 2025. HACKATHON: A hackathon will take place, where participants can work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer (University of Alabama). The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced by August 25, 2025. The winning teams will receive a modest monetary prize and the runners-up will get a certificate. SPONSORS: Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from https://deeplearn.irdta.eu/2025/sponsors/ ORGANIZING COMMITTEE: Sergei V. Gleyzer (Tuscaloosa, hackathon chair) Jos? Paulo Marques dos Santos (Maia, local chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) Jos? Lu?s Reis (Maia) Lu?s Paulo Reis (Porto) David Silva (London, organization chair) REGISTRATION: It has to be done at https://deeplearn.irdta.eu/2025/registration/ The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all program activities and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://deeplearn.irdta.eu/2025/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. This should be sufficient for those participants who plan to request ECTS recognition from their home university. QUESTIONS AND FURTHER INFORMATION: david at irdta.eu ACKNOWLEDGMENTS: Universidade da Maia Universidade do Porto Universitat Rovira i Virgili Institute for Research Development, Training and Advice ? 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URL: From healthit at okipublishing.com Sun Nov 3 18:31:58 2024 From: healthit at okipublishing.com (HealthIT Team) Date: Sun, 03 Nov 2024 11:31:58 -0600 Subject: [Neuroinfo] [CFP Due Jan 19] AI in Health/BioInfo/BioTech @ CAIF 2025, April 1-3, USA & Online Message-ID: [Apologies for cross-posting] --- Call for Abstracts and Papers ------------- AI in Healthcare/Bioinformatics/Biotechnology @ 2025 OkIP International Conference on Artificial Intelligence Frontiers (CAIF) Oklahoma City, OK, USA & Online April 1-3, 2025 https://eventutor.com/e/CAIF002 Submission Deadline: January 19, 2025 Extended versions of the best papers will be considered for publication in the inaugural volume of the International Journal of Automated and Intelligent Systems and the International Journal of Health Information Technology. *** Keynote/Invited Talk "Building Chatbots for Learning and Training" Prof. Maiga Chang Associate Dean, Research & Innovation Faculty of Science and Technology Athabasca University, Canada *** Track/Areas: AI in Healthcare/Bioinformatics/Biotechnology - Decision Support Systems - Medical Data Mining Analysis - Health Expert Systems | eHealth Blockchain - Health Knowledge Management - Cognitive Informatics | Affective Computing - Physiological and Behavioral Modeling - Pattern Recognition and Machine Learning - Clinical Decision Support Systems - Games for Health | Motion Gaming - Health Promotion AI | Exergaming - Healthcare Predictive Modeling - Smart, Personalized Healthcare Guidance - AI Learning-Recommendations - Healthcare Explainable AI - Classification Algorithms - Healthcare Advisor Model - Big Data in Healthcare and Biomedical - ... *** Contribution Types (Two-Column IEEE Format Style): - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 page) *** Important Dates: - Abstract or Paper Submission: January 19, 2025 - Author Notification: February 2-16, 2025 - Camera Ready Paper Submission, Registration: February 9-23, 2025 - Conference Date: April 1-3, 2025 *** Technical Program Committee https://eventutor.com/event/58/page/149-committee Please feel free to contact us for any inquiries at: Kris Zeuti OkIP Secretariat info at okipublishing.com From pranav.nerurkar at utkarshminds.com Mon Nov 4 13:50:03 2024 From: pranav.nerurkar at utkarshminds.com (PRANAV NERURKAR) Date: Mon, 4 Nov 2024 18:20:03 +0530 Subject: [Neuroinfo] Two month online self-paced training on Linear Machine Learning, Generative AI for data science Message-ID: Dear Community/Scientists/Professors/Researchers, Greetings of the day!! (Apologies in case of multiple receptions) Launching a Two month self-paced training on Linear Machine Learning, Generative AI for data science project building and Creating Docker containers for Machine learning devops. More info: https://internships.utkarshminds.com/courses/Python-Statistics-Data-analysis-and-Generative-AI-Combination-66c9b728d5db276fc548a735 Fees: $14 (EUR 14.75) *Why Should You Enroll?* - *Comprehensive Curriculum:* Learn practical and theoretical aspects of Python - *Expert Guidance:* Get trained by professionals with extensive experience in the field. - *Affordable Fees:* Gain valuable skills - *Career Advancement:* Enhance your resume and improve your job prospects. *Contact Details:* Pranav Nerurkar Email: pranav.nerurkar at utkarshminds.com Phone: +919619997797 Key Features: 1. *Interactive Video Lectures*: - Learn the fundamentals of Two Sample Hypothesis Testing through engaging and informative video lectures. - Understand key concepts such as null and alternative hypotheses, t-tests, z-tests, p-values, and confidence intervals. 2. *Hands-On Coding Assignments*: - Apply the theoretical knowledge gained from the lectures by completing coding assignments in languages such as Python or R. - Work on real datasets to practice setting up hypotheses, running statistical tests, and interpreting results. - Get step-by-step guidance on writing and debugging code to ensure accurate and efficient analysis. 3. *Practical Applications*: - Explore various case studies and examples that illustrate the application of Two Sample Hypothesis Testing in different fields such as healthcare, finance, marketing, and more. - Engage in projects that mimic real-life scenarios where hypothesis testing is crucial for decision-making. 4. *Mentorship and Support*: - Receive mentorship from experienced statisticians and data scientists. - Participate in Q&A sessions and discussion forums to clarify doubts and enhance your learning experience. 5. *Certification*: - Earn a certificate upon successful completion of the internship, showcasing your skills and knowledge in Two Sample Hypothesis Testing. - Add this valuable credential to your resume or LinkedIn profile to boost your career prospects. Requirements: - Basic understanding of statistics and programming. - A computer with internet access. - Willingness to learn and apply new concepts. Duration: - The course is self-paced and can be completed within 4-6 weeks, depending on your schedule and pace of learning. Regards Warm and Kind regards, *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Nov 12 14:46:41 2024 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 12 Nov 2024 14:46:41 +0100 Subject: [Neuroinfo] Call for Workshop Proposals on Complex Systems at FRCCS 2025 Message-ID: The FRCCS 2025 Organizing Committee invites proposals for full- or half-day workshops on Complex Systems, taking place May 21-23, 2025. We welcome multidisciplinary workshops that foster collaboration and explore emerging topics. Workshops can include discussions, demos, panels, and more. Key Details: - Proposal Deadline: January 12, 2024 - Workshop Format: Full-day (7 hours) or Half-day (4 hours), with breaks - Organizer Responsibilities: Manage sessions, issue a Call for Papers, and coordinate reviews - Incentives: Waived registration for workshops with over six contributions Submission Requirements (2-4 pages, PDF): - Title, overview, organizers, format, duration, logistics needs, and expected participants. Accepted workshop contributions will appear in the FRCCS 2025 companion book. Select contributions may be invited for publication in partner journals. Submit your proposal to the Workshop Proposal Track on CMT : https://cmt3.research.microsoft.com/FRCCS2025/ For full details, visit the FRCCS website , ( https://iutdijon.u-bourgogne.fr/ccs-france/workshops-proposals/) or contact the Workshop Chair: Maria Malek (maria.malek at cyu.fr). Join us at COMPLEX NETWORKS 2024 *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems Founding & Adisory Editor Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From genevievejourdainlambert at gmail.com Wed Nov 13 10:30:43 2024 From: genevievejourdainlambert at gmail.com (Genevieve Jourdain-Lambert) Date: Wed, 13 Nov 2024 10:30:43 +0100 Subject: [Neuroinfo] =?utf-8?q?Be_Part_of_COMPLEX_NETWORKS_2024_=E2=80=93?= =?utf-8?q?_Register_Today_for_Istanbul=E2=80=99s_Premier_Event_in_?= =?utf-8?q?Network_Science!?= Message-ID: *December 10 ? 12, 2024 | Istanbul, Turkey* *13th International Conference on Complex Networks & Their Applications* Join us in Istanbul for an inspiring, knowledge-packed three days as leading researchers and practitioners worldwide come together to explore the latest advances in network science. This year's conference will feature insightful keynotes, skill-building tutorials, and numerous opportunities for professional networking and collaboration. *Registration*: complexnetworks.org/registration/ *KEYNOTE SPEAKERS* ? Federico Battiston - Central European University, Austria - *Higher Order Network Science* ? Tina Eliassi-Rad - Northeastern University, USA *? Stability of Graph Machine learning Models* ? Frank Emmert-Streib - Tampere University, Finland ? *From Digital Twins to Complexity Data Science* ? Filippo Menczer - Indiana University, USA ? *AI and Social Media Manipulation: the Good, the Bad & the Ugly* ? Luciano Pietronero * - *University of Rome, Italy ? *Economic Fitness: Concepts, Methods & Applications* *TUTORIALS (December 9, 2024)* Enhance your skills with our pre-conference tutorials (separate registration required): ? Alessandro Galeazzi - University of Padova, Italy ? *Unveiling Echo Chambers & Users Opinions on Online Social Media* ? Clara Stegehuis - Twente University, The Netherlands ? *Mathematical Analysis & Applications of Network Motifs* *Why Attend?* ? *Expand Your Knowledge* with the latest insights from leading voices in complex network science. ? *Build Your Network* at coffee breaks, receptions, and social events designed to foster collaborations. ? *Engage and Contribute* to discussions that shape the future of complex networks research. Don?t miss this unique opportunity to be part of a vibrant, global community at the intersection of research and application. *Looking forward to welcoming you in Istanbul!* The organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: