At the Collège de France, researchers ask what kind of AI ecosystem research can sustain One year after the AI Action Summit, the question is no longer whether artificial intelligence […]
What Xi Wang’s, Hi! PARIS Chair, keynote reveals about the real future of filmmaking with AI From generative video and diffusion models to “text-to-movie” promises, the last two years have […]
Every day, high-quality public data is collected around the world, from health and education to agriculture, economics, and the environment. But for journalists and citizens alike, finding clear answers in […]
The IP Paris – Hi! PARIS 2026 Computer Vision Workshop is a collaborative event bringing together researchers, students, and professionals passionate about advancing the field of computer vision. Hosted at Télécom Paris, the […]
What if your coach was always available, never tired, and capable of instantly analyzing your posture to help you move better, whether you’re recovering from an injury, learning a new […]
What can millions of newspaper articles teach us about democracy, representation, or inequality? For Etienne Ollion, sociologist and Hi! PARIS chair recipient, the answer lies not only in the words […]
As part of the Hi! PARIS Initiatives, this Meet Up on “AI & the Future of Work” will bring researchers, industry leaders, and practitioners together at Station F. The goal: to reflect on how AI is reshaping jobs, skills, and workplace dynamics, and to explore what this transformation means for companies, policymakers, and society.
Artificial intelligence has mastered language, vision, and even strategy games, but can it master mathematics? Amaury Hayat’s DESCARTES project explores one of the boldest frontiers in science: teaching machines not just to calculate, but to reason.
While generative AI tools continue to impress, their inner workings remain largely mysterious. Hi! PARIS Fellow Alain Oliviero Durmus is tackling this challenge head-on with his project TODO – Toward Enhanced Generative Models. By applying tools from stochastic optimal control, he’s building a stronger mathematical foundation for diffusion and flow models, aiming to make them more robust, interpretable, and ready for complex real-world applications.
What happens when artificial intelligence pushes the boundaries of image creation from flat, 2D visuals into fully controllable 3D scenes? In their work, Maks Ovsjanikov (Professor at École polytechnique) and Léopold […]