Welcome to the Data Science Colloquium of the ENS.
This colloquium is organized around data sciences in a broad sense with the goal of bringing together researchers with diverse backgrounds (including for instance mathematics, computer science, physics, chemistry and neuroscience) but a common interest in dealing with large scale or high dimensional data.
The colloquium is followed by an open buffet around which participants can meet and discuss collaborations.
These seminars are made possible by the support of the CFM-ENS Chair “Modèles et Sciences des Données”.
You can check the list of the next seminars below and the list of past seminars.
Videos of some of the past seminars are available online.
The colloquium is organized by:
05 December 2024, 12h00-13h00 (Paris time), room Salle Dussane (45 Rue d'Ulm).
Jean-Rémi King (CNRS, ENS & Meta AI)
Title: AI and Neuroscience: in search of the laws of intelligence
Abstract: In just a few years, AI has transitioned from a specialized field into a transformative force for industries and society. Beyond this technical progress, the development of AI provides a new paradigm to understand the intricate workings of the human brain. To illustrate this, we will delve into a series of experiments that systematically compare deep learning algorithms with the human brain in response to images, sounds, and texts. These comparisons consistently show a partial convergence between the representations learned by AI algorithms and those effectively instantiated in our cortex. These results -- largely unexpected by both the AI and Neuroscience communities -- together provide an operational foundation for uncovering the general principles that govern the acquisition, structuring, and manipulation of knowledge in biological and artificial neural networks.