Victory of the SU team in the autonomous car race of the ENS
Last Saturday, April 16th, the team of students of the masters of engineering sciences of Sorbonne University won the au […]
Call for doctoral research projects - DIM AI4IDF
The four main AI institutes in Ile de France - DATAIA, Hi! PARIS, PRAIRIE and SCAI - have joined forces within the Ile-d […]
[BREAKING NEWS] Scai doctoral program
The projects selected in the pre-selection of the SCAI doctoral program are now available! All information on Sorbonne […]
The "CoMPLEx" Project: to enhance the data interpretability and facilitate their preservation
We are delighted to announce the acceptance of funding for the "CoMPLEx" Project as part of the H2020 - Marie-Sklodowska […]
AI at the heart of environmental issues with ArtEmis
ArtEmis is a large-scale project that will be funded by the European Union. Its goal: the early detection of earthquak […]
Conference: inauguration of the new "GDR IA et matériaux" - CNRS
30 May 2022
Sorbonne Université (auditorium) - 4 place Jussieu, 75005
Computational and mathematical approaches for neuroscience
7 Jun 2022
Institut du Cerveau / Paris Brain Institute • ICM - Hôpital de la Pitié-Salpêtrière, 47 boulevard de l’Hôpital, 75013 Paris
Deep Voice, Paris 2022
15 Jun 2022
SCAI (Sorbonne Université, Campus Pierre et Marie Curie), IRCAM
Nested Sampling for Nuclear Quantum Effects
Although much heavier than electrons, light nuclei, mainly hydrogen, exhibit Nuclear Quantum Effects (NQE), such as tunnelling and zero-point energy, that can have a large impact on the structure and the dynamics of materials.
Agathe Rosa, Visual artist
CREATE.AI project: a reflection on the future of art-science mediation, with Agathe Rosa
Mille et une voix - Fabriquer le Bestio-robot, Zoé Aegerter - Clotilde Chevet
CREATE.AI project: a reflection on the future of art-science mediation, with "Mille et une voix - Fabriquer le Bestio-robot", Zoé Aegerter - Clotilde Chevet, a research & creation project
Explainable artificial intelligence/deep learning. Instantiation to human organoids
Interpretability in Artificial Intelligence (AI) tackles with what can be considered today as the Achilles heel of modern AI, with a particular modern flavor concerning the Deep Learning (DL): the lack of readability, traceability, explainability.
Explainable Sparse Models: a Marriage between Machine Learning and Decision Theory
The aim of this thesis is to propose new approaches based on non-additive integrals to construct explainable sparse models.
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