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:
12 June 2025, 12h00-13h00 (Paris time), room Salle Galois (45 Rue d'Ulm).
David Louapre (Ubisoft)
Title: What modern AI and neuroscience can bring to non-playing characters in video games
Abstract: Until recently, non-playable characters (NPCs) in video games, whether allies, enemies, or bystanders, have mostly relied on traditional AI techniques such as finite state machines and behavior trees. With the rise of deep learning and large language models, new opportunities have emerged to enhance the believability and autonomy of NPCs. However, these advances introduce challenges that call for a more holistic model of the NPC mind, one inspired by neuroscience and agent-based approaches in modern AI.