PR[AI]RIE has the ambitious objective of becoming a world leader in research and higher education in AI, with a real impact on the economy and society, driven by its founding members, world class academic institutions, industrial partners leading in their fields and a network of strong international partners.
PR[AI]RIE is one of the 9 French AI-Clusters financed by France 2030 for a total of 75m€ over 5 years (2024-2029). Its founding academic members are CNRS, Inria, Institut Pasteur, Université PSL and Université de Paris Cité.
Permanent Researchers from our partners with a proven record of excellence in AI.
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Partner companies including GE HealthCare, Google DeepMind, Hermès, Meta, Valéo and startups.
Research
Our reasearch areas
Research in PR[AI]RIE is organized in a double helix with two intertwined threads: (a) core AI methodological research, and (b) interdisciplinary work at the interface with sciences and applications.
Autonomous agents and multi-agent systems
Autonomous agents and multi-agent systems cover a wide range of techniques from games to voting theory. Various algorithms and mathematical theories are used in these domains.
Biomedical image analysis plays a crucial role in life sciences and healthcare, enabling researchers and clinicians to extract valuable insights from vast amounts of visual data.
Since the earliest days of Artificial Intelligence, the study of human cognition has played an important role. The very first working code presented at the Dartmouth…
Computer vision is the part of AI concerned with the automated interpretation of digital imagery, with very strong links with machine learning, natural image understanding and robotics…
The Data Sciences Group at PRAIRIE is a dedicated team of experts specializing in the field of machine learning and its applications in health sciences and medical imaging.
The research themes of the PRAIRIE Genomics researchers coalesce around the exploration and application of machine learning in genomics, with a particular focus…
Machine learning is the core algorithmic component behind recent successes in artificial intelligence, relying on training models with vast amounts of data.
The Networked Data Management group comprises a dedicated team of researchers specializing in various fields, including software verification, representation learning, distributed algorithms, and large-scale data management.
Double Bachelor‘s degree in Artificial Intelligence and Organizational Sciences, International Bachelor of Science in AI, CPES – Sciences data, arts & cultures.
Executive master statistique et big data, Executive master intelligence artificielle et science des données, Certificat Data Sciences, Masterclasses in AI, AI in medicine and Illumens programs…
The Paris School of AI of Université PSL, a key part of the PR[AI]RIE AI-Cluster, has recruited 10 AI Fellows, international researchers at the forefront of AI, who will also participate in its teaching activities.
Be curious, open-minded, and adaptable. NLP is an interdisciplinary field that thrives on insights from computer science, linguistics, psychology, and many other areas, now more than ever.
Aina Garí Soler
AI Fellow Paris School of AI Université Paris Dauphine-PSL
From my experiences, I would advice students who would like to work in this field to first find out research topics closest to their own studies or to their interests, then study not only fundamental courses in their major…
Shuyu Dong
AI Fellow Paris School of AI Université Paris Dauphine-PSL
AI and neuroscience are in a virtuous loop. On one hand, even “simple” nervous systems learn quickly, adapt online, and generalise from limited experience – capabilities today’s AI still struggles to match.
Vito Dichio
AI Fellow Paris School of AI ENS-PSL
I would also encourage students to stay curious about both theory and practice. Bayesian methods are deeply mathematical, but their power comes from being applied to real-world problems.
Mélodie Monod
AI Fellow Paris School of AI Université Paris Dauphine-PSL
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