The HACE workshop in Toulouse (May 26–28, 2026) is the technical follow‑up to the opening conference SCOPE on “HPC and AI convergence at the Exascale era” held in Paris in March 2026. It will gather researchers from applied mathematics, scientific computing, AI, and HPC engineering to explore how hybrid AI–HPC workflows can deliver robust, scalable solvers for complex […]
Building with AI: a practitioner's view of AI sovereignty Charles Gorintin is co‑founder and CTO of Alan, the European digital health insurer and care platform that builds end‑to‑end health services (insurance, virtual care, prevention, and claims) for employers and members. He is also a co‑founding advisor of Mistral AI. He has worked extensively on technology […]
CVPR@Paris 2026 is a 1-day event scheduled for June 1st, 2026, in Paris. This event provides a local meeting prior to the CVPR conference. This is the second edition of the event, following the first in 2025, and aims to encourage sustainability and inclusivity in Deep Learning and Computer Vision research. Authors of accepted papers […]
PARIS-SACLAY SPRING brings together researchers, start-ups, SMEs, major industrial groups, investors, and public research stakeholders to foster business meetings, technological collaborations, and funding opportunities. Join us to meet the 120 key players who shape the Paris-Saclay ecosystem and accelerate your innovation projects. Register here: https://registerparissaclayspring.com/fr/
As part of the AI Seminar Cycle, Hi! PARIS welcomes Francis Bach, researcher at Inria and member of our Scientific Advisory Board, for the June session.
Organized by Hi! PARIS in collaboration with the ELLIS Program on Theory, Algorithms, and Computations of Modern Learning Systems and the Paris ELLIS Unit, this seminar aims to connect cutting edge research with the broader European AI community.
As part of the Hi! PARIS Initiatives, a series designed to build thematic working groups around major societal challenges, an upcoming Meet Up on “AI & Fake News Detection” will take place on Tuesday, June 9, 2026, at 6 PM, at STATION F (Central Room). Artificial intelligence is changing the way false information is […]
PCAIDE is the leading research conference on the ethical and societal challenges of AI and digital technologies. It is also an annual meeting for leaders from the public and private sectors, international organisations, and think tanks to learn about the latest scientific advances, compare practices, and meet international partners. Previous editions brought together participants from […]
VivaTech returns from June 17 to 20, 2026, at the Porte de Versailles and announces a scale-up. During this edition, Hi! PARIS will co-organize a workshop with HEC Paris (IEI) and CDL-Paris, titled “Defense in the Age of Physical AI - Dual-use systems, strategic capability, and Europe’s sovereignty” on June 17(12:30–2:00 PM). Artificial intelligence is evolving at […]
The Hi! PARIS Summer School on AI & Data for Science, Business and Society will take place from June 29 to July 2, 2026 at Télécom Paris, and will cover a wide range of topics in the domain of Artificial Intelligence and Data Science from different perspectives and should be of interest to Master and PhD students, post docs, academics, and practitioners interested in expanding their knowledge of AI and Data Science.
For more information about the program and registration: https://hi-paris.fr/research/summer-school/
From June 29–30, 2026, the Université de Technologie de Troyes (UTT) will host a multidisciplinary symposium dedicated to exploring the uses and impacts of Generative AI in education, research, and industry. The event will bring together leading experts from academia, government, and the private sector, including representatives from Amazon AWS, Snowflake, and the French Ministry […]
AI is rapidly reshaping decision-making across healthcare, finance, education, energy, and public policy. Yet its promise is matched by pressing societal challenges: how to design systems that are robust, ethical, aligned with human values, and respectful of privacy and fairness. Meeting these challenges requires attention to both algorithms and the social contexts in which they […]