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Call for Participation & Papers – ACAIN 2024 – 4th Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: May 23
The 4th International Advanced Course & Symposium on Artificial Intelligence & Neuroscience,
September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy
W: https://acain2024.icas.events
E: acain@icas.cc
FB: https://www.facebook.com/ACAIN.LakeDistrict/
Symposium Deadlines
Paper Submission (Symposium): by May 23, 2024 (AoE).
https://acain2024.icas.events/symposium-call-for-papers/
https://easychair.org/conferences/?conf=acain2024
Course Deadlines
Regular Registration (Course): by May 23, 2024.
https://acain2024.icas.events/registration/
SCOPE & MOTIVATION:
ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science
The ACAIN 2024 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science.
The 4th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment.
Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23).
Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium – ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience.
The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders.
The Event (Course and Symposium) will involve a total of 36-40 hours of lectures.
Academically, this will be equivalent to 8 ECTS points for the PhD Students and
the Master Students attending the Event.
LECTURERS
https://acain2024.icas.events/course-lecturers/
* Maria Eckstein, Google DeepMind, London, UK
* Auke Jan Ijspeert, EPFL, Switzerland
* Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK
* Loic Matthey, Google DeepMind, London, UK
* Kevin J. Miller, DeepMind & UCL, London, UK
* Thomas Parr, Oxford University, UK
* Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland
* Alessandro Treves, International School for Advanced Studies, Italy
More Lecturers TBA
COURSE DESCRIPTION:
https://acain2024.icas.events/course-description/
SYMPOSIUM CALL FOR PAPERS:
https://acain2024.icas.events/symposium-call-for-papers/
SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members):
https://acain2024.icas.events/program-committee/
ORGANIZING COMMITTEE:
https://acain2024.icas.events/symposium-committee/
VENUE & ACCOMMODATION:
https://acain2024.icas.events/venue/
ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants)
must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed.
https://lod2024.icas.events/lod-2024-a-residential-conference/
Riva del Sole Resort & SPA
a: Località Riva del Sole – Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany – Italy
p: +39-0564-928111
f: +39-0564-935607
e: booking.events@rivadelsole.it
w: www.rivadelsole.it/en
ACTIVITIES:
https://acain2024.icas.events/activities/
REGISTRATION:
https://acain2024.icas.events/registration/
See you in Tuscany in September!
ACAIN 2024 Organizing Committee.
E: acain@icas.cc
W: https://acain2024.icas.events
FB: https://www.facebook.com/ACAIN.LakeDistrict
Curso “Algoritmos Genéricos y Optimización Heurística”
👉Este curso otorga créditos para la carrera de posgrado “Especialización en Ingeniería en Sistemas de Información”.
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Submit Your Articles – 8th International Conference on Soft Computing, Mathematics and Control (SMC 2024)
8th International Conference on Soft Computing, Mathematics and Control (SMC 2024)
July 13 ~ 14, 2024, Virtual Conference
https://smc2024.org/
Scope
8th International Conference on Soft Computing, Mathematics and Control (SMC 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Soft Computing, Mathematics and Control. The conference documents practical and theoretical results which make a fundamental contribution for the development of Soft Computing, Mathematics and Control. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Topics of interest include, but are not limited to, the following
- Abstract Algebra and Applications
- Adaptive Control
- Agriculture, Environment, Health Applications
- Algorithms
- Applications of Modeling in Science and Engineering
- Artificial Neural Networks (ANN)
- Computational Complexity
- Computer Modeling
- Control Theory
- Differential Geometry
- Digital Control
- Discrete Mathematics
- Embedded Systems
- Evolutionary Algorithms
- Fault Detection and Isolation
- Feedback Control
- Functional Analysis
- Fuzzy Logic and Applications
- Fuzzy Set Theory
- Genetic Algorithms
- Genetic Algorithms and Evolutionary Computing
- Graph Theory and Applications
- Hybrid Systems
- Industry, Military, Space Applications
- Linear and Nonlinear Programming
- Markov Chains and Applications
- Model Predictive Control
- Networked Control Systems
- Networking and Communications
- Neuro-Fuzzy Control
- Operations Research
- Process Control and Instrumentation
- Real and Complex Analysis
- Robust Control
- Soft Computing and Control
- Stochastic Control and Filtering
- System Identification and Control
- Systems and Automation
- Topology and Analysis
Paper Submission
Authors are invited to submit papers through the conference Submission System by May 18, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Applied Mathematics and Sciences: An International Journal (MathSJ) (Confirmed).
Selected papers from SMC 2024, after further revisions, will be published in the special issue of the following journal.
- International Journal on Cybernetics & Informatics (IJCI)
- Applied Mathematics and Sciences: An International Journal (MathSJ)
- International Journal on Soft Computing (IJSC)
- International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)
- International Journal of Instrumentation and Control Systems (IJICS)
- International Journal of Control Theory and Computer Modeling (IJCTCM)
- International Journal of Soft Computing, Mathematics and Control (IJSCMC)
Important Dates
· Submission Deadline : May 18, 2024
· Authors Notification : June 01, 2024
· Registration & Camera – Ready Paper Due : June 08, 2024
Contact Us
Here's where you can reach us : smc@smc2024.org (or) smcconference3@gmail.com
Submission Link : https://smc2024.org/submission/index.php
DeepLearn 2024: early registration June 10
(and the Future of Artificial Intelligence)
DeepLearn 2024
Porto – Maia, Portugal
July 15-19, 2024
https://deeplearn.irdta.eu/2024/
******************************************************
Co-organized by:
University of Maia
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
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Early registration: June 10, 2024
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SCOPE:
DeepLearn 2024 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, Guimarães, Las Palmas de Gran Canaria, Luleå, Bournemouth, Bari 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, geographic information systems, signal processing, genomics, materials design, video technology, social systems, etc. etc.
The field is also raising a number of relevant questions about robustness of the algorithms, explainability, transparency, and 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 16 four-hour and a half courses, 2 keynote lectures, 1 round table and a few hackathon-type competitions among students, which will tackle the most active and promising topics. 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.
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 2024 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 2024 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 – Castêlo da Maia
4475-690 Maia
Porto, Portugal
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.
This year’s edition of the school will schedule hands-on activities including mini-hackathons, where participants will 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:
Jiawei Han (University of Illinois Urbana-Champaign), How Can Large Language Models Contribute to Effective Text Mining?
Katia Sycara (Carnegie Mellon University), Effective Multi Agent Teaming
PROFESSORS AND COURSES:
Luca Benini (Swiss Federal Institute of Technology Zurich), [intermediate/advanced] Open Hardware Platforms for Edge Machine Learning
Gustau Camps-Valls (University of València), [intermediate] AI for Earth, Climate, and Sustainability
Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Introduction to Representation Learning on Graphs
Daniel Cremers (Technical University of Munich), [introductory/advanced] Deep Networks for 3D Computer Vision
Peng Cui (Tsinghua University), [intermediate/advanced] Stable Learning for Out-of-Distribution Generalization: Invariance, Causality and Heterogeneity
Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware
Yulan He (King’s College London), [introductory/intermediate] Machine Reading Comprehension with Large Language Models
Frank Hutter (University of Freiburg), [intermediate/advanced] AutoML
George Karypis (University of Minnesota), [intermediate/advanced] Optimizing LLM Inference
Hermann Ney (RWTH Aachen University / AppTek), [intermediate/advanced] Machine Learning and Deep Learning for Speech & Language Technology: A Probabilistic Perspective
Massimiliano Pontil (Italian Institute of Technology), [intermediate/advanced] Operator Learning for Dynamical Systems
Elisa Ricci (University of Trento), [intermediate] Continual and Adaptive Learning in Computer Vision
Wojciech Samek (Fraunhofer Heinrich Hertz Institute / Technical University of Berlin), [introductory/intermediate] From Feature Attributions to Next-Generation Explainable AI
Xinghua Mindy Shi (Temple University), [introductory/intermediate] Trustworthy Machine Learning for Human Health and Medicine
Michalis Vazirgiannis (École Polytechnique), [intermediate/advanced] Graph Machine Learning and Multimodal Graph Generative AI
James Zou (Stanford University), [introductory/intermediate] Large Language Models and Biomedical Applications
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@irdta.eu by July 7, 2024.
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@irdta.eu by July 7, 2024.
HACKATHONS:
Hackathons will take place, where participants will work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer. 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 on the final day. The winning teams will receive a small prize and the runners-up will get a certificate.
EMPLOYERS:
Organizations searching for personnel well skilled in deep learning will be provided a space 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@irdta.eu by July 7, 2024.
SPONSORS:
Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from
https://deeplearn.irdta.eu/2024/sponsoring/
ORGANIZING COMMITTEE:
José Paulo Marques dos Santos (Maia, local chair)
Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
José Luís Reis (Maia)
Luís Paulo Reis (Porto)
David Silva (London, organization chair)
REGISTRATION:
It has to be done at
https://deeplearn.irdta.eu/2024/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.
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 are available at
https://deeplearn.irdta.eu/2024/accommodation/
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. This should be sufficient for those participants who plan to request ECTS recognition from their home university.
QUESTIONS AND FURTHER INFORMATION:
ACKNOWLEDGMENTS:
Universidade da Maia
Universidade do Porto
Universitat Rovira i Virgili
Institute for Research Development, Training and Advice – IRDTA, Brussels/London