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AI4IDF 2026, midterm event @Cap Digital
12
Mar
2026
18:00
20:30
Cap Digital and DIM AI4IDF invite you to AI4IDF 2026, the midterm event of the Île-de-France Artificial Intelligence DIM, on Thursday, March 12, from 6:00 PM to 8:30 PM, at Cap Digital’s headquarters in Paris.
Co-organized by DIM AI4IDF—which brings together, under the coordination of Inria, the four major AI research clusters supported by the Île-de-France Region (PrAIrie, SCAI - Sorbonne Cluster for Artificiel Intelligence, Hi! PARIS, and Institut DATAIA) — and Cap Digital, this evening will gather researchers, PhD students, companies, startups, and public stakeholders to discuss structural AI advancements in the Paris Region.
Designed as a midterm highlight, AI4IDF 2026 will offer an inspiring overview of the work carried out within the DIM toward human-centered AI with a social impact:
- AI, an ambition for the Paris Region – Speaker from the Île-de-France Region (TBC)
- 3D Creation: The AI Revolution – Keynote by Marie-Paule Cani, Professor of Computer Science, École Polytechnique
- Robotic Platform Demonstration – Guillaume Morel, Professor of Robotics, Sorbonne University
6 PhD Pitches illustrating the wealth of AI research in the fields of health and creation:
- Gwenn Guichaoua – Machine learning for the characterization of TNBC breast cancers
- Adam Remaki – Modeling the progression of chronic diseases via medical reports
- Rita Yabouri – Predicting cognitive trajectories in elderly people at risk of Alzheimer’s disease
- Adam Remaki – Beyond Recombination: Exploring the Impact of Meiotic Frequency on Genome-wide Genetic Diversity
- Paul Saighi – Unsupervised learning in an electronic spiking neural network for brain-machine interfaces
- Reda Khoufache – Scalable non-parametric Bayesian models for clustering and co-clustering
Closing Remarks by Chloé Clavel, coordinator of DIM AI4IDF: progress report and focus on upcoming priorities.
The evening will conclude with a networking cocktail, providing a convivial space for discussion and collaboration between research and innovation.