AiBy4 Summer School 2024

Nantes’ 2024 Artificial Intelligence Summer School

From Monday June 17th to Wednseday June 19th, join the AiBy4 Summer School gathering. Open and Free for all student of the AiBy4 cohort, participate to this unique event to produce a scientific mediation tools in collaboration with the UNESCO RELIA Chair and present your current work in a poster or oral presentation session !

Program (Night event to come !)

Day 1 and Day 2 Les Machines de l’Île

Mix and Match of poster and oral presentation of your works. Ideation workshops for a scientific mediation tool with the RELIA UNESCO Chair.

Day 3 IUT Carquefou

Poster session in the morning, scientific mediation tool presentation in the afternoon.

Subscription is free and open to all AiBy4 cohort
Meals and coffee breaks are included
Save the Nights Monday June 17th and Tuesday June 18th, we are planing special events for you to enjoy !

Featuring Artificial Intelligence international keynotes

Uncertainty Quantification – Explainable AI – Deep Learning Model Merge

The AiBy4 scientific leaders, Pr Harold Mouchère and Pr Diana Mateus, are happy to welcome in Nantes three reknowed international researchers to induce inspiration to the AiBy4 students on what to do next after a doctorate in Artificial Intelligence.

Mahammad Yaqub

Mohammad Yaqub Associate Professor of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE

Dr. Yaqub leads the BioMedIA group at MBZUAI. He completed his PhD in biomedical Engineering from the University of Oxford. He has published more than 70 peer-reviewed articles, has 4 patents, co-edited 2 books and secured many national and international grant funding. He is also an honorary research fellow at the Nuffield department of clinical neurosciences (NDCN) and the Acute Vascular Imaging Centre, University of Oxford. He will cover two related concepts that improve deep learning model training: model merge for effective transfer learning and geometric model generation and hierarchical souping.

Key Research Area : Model Merge, Hierarchical Souping, Artificial Intelligence, Machine Learning, and Biomedical Health, Image Analysis

Adrian Galdran, Research Fellow, Universitat Pompeu Fabra, Barcelona, Spain

Adrian Galdran is a Marie Skłodowska-Curie Research Fellow at Universitat Pompeu Fabra in Barcelona jointly with the Australian Institute of Machine Learning in Adelaide, leading a project on Uncertainty Quantification for medical imaging. Prior to this, he worked as lecturer/post-doctoral researcher in biomedical image analysis at Bournemouth University in the UK, ETS Montréal in Canada and INESC-TEC Porto in Portugal.

Key Research Area : Model Calibration, Machine Learning, Neural Networks, Probabilistic Predictions, Uncertainty Quantification, Medical Image Analysis

Gabriele Ciravegna

Gabriele Ciravegna, Postdoctoral Researcher Politecnico di Torino, Torino, Italy

Gabriele Ciravegna is a Postdoctoral Researcher in the Data Science and Big Data Analytics (DBDMG) team at Politecnico di Torino, focusing on enhancing Deep Neural Networks to be not only more powerful but also understandable and trustworthy. Before this role, Gabriele served as a Postdoctoral Researcher in the MAASAI team at Inria in Sophia Antipolis, France, and earned a Ph.D. degree with honours from the University of Florence, Italy under the mentorship of Professor Marco Gori.

Key Research Area : Explainable Artificial Intelligence (XAI), Constraint-Based Learning, Logic Constraints, Adversarial Resistance, Multi-Label Classifiers, Entropy-Based Explanations, Logic Explanations, Neural-Symbolic Reasoning, Concept Embedding Models, Active Learning, Knowledge-Driven Learning, Interpretability by Design, Accuracy-Explainability Trade-Off

Scientific Mediation Tools Workshops in collaboration with the UNESCO RELIA Chair

The aim of this summer school will be to produce a scientific mediation tools on artificial intelligence to present to young students on Wednesday June 19th in collaboration with the UNESCO RELIA Chair with the participation of Bastien Masse, Florent Laroche and Colin de la Higuera. Our goal is not only to enhance your understanding of AI but also to equip you with the tools to demystify AI concepts for different audience and make AI understandable and accessible to all. It is a great opportunity to engage through in-depth lectures and an original collaborative projects. It’s more than just a learning experience, it’s a chance to inspire the next generation of AI enthusiasts and researchers !

AiBy4 Summer School Poster and Presentation Session

Just like every AiBy4 Day, we will have a poster and oral presentation session so you can share your work with us. It is an opportunity to showcase your research in a positive environment and receive constructive feedback. It is not a contest, it is a celebration of your dedication to your thesis subject. You can subscribe through the same link and confirm your preferences on either choices. Every participant is expected to present something.

SUBSCRIPTION DEADLINE IS MAY 20TH 2024

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