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IP Paris – Hi! PARIS Computer Vision Workshop

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 workshop will explore the latest research breakthroughs, foster cross-disciplinary discussions, and connect participants around innovative ideas shaping the future of AI and visual perception. Whether you […]

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How NLP transforms political analysis: Inside Etienne Ollion’s Textual Politics project

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 themselves, but in the tools we use to read them. His project, Textual Politics, uses advances in natural language processing (NLP) to revisit core questions […]

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LACONIC: A 3D layout adapter for controllable image creation

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 Maillard (PhD Student at École polytechnique), introduce LACONIC, a new 3D layout adapter, pushing generative image models into real 3D. Built on top of existing diffusion […]

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Rethinking Uncertainty in Machine Learning

As machine learning systems become embedded in critical decisions, from finance to infrastructure, the need for trustworthy, interpretable predictions has never been greater. Aymeric Dieuleveut, Professor of Statistics and Machine Learning at École polytechnique and scientific co-director of the Hi! PARIS Center, believes the key lies not in the models themselves, but in how we communicate their uncertainty.