We lead the future of AI research and education

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.

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[AI]genda

Discover our next events

Nov
26

Nov
26
ACSS Research seminar on LLMs in finance
PSL Estrapade Campus -16 bis rue de l’Estrapade, 75005 Paris

News

The latest PR[AI]RIE news

16 October 2025

Un i-Lab 2025 pour Enhance Lab !

Enhance Lab lauréat du concours d’innovation i-Lab 2025 de Bpifrance

Award, Innovation

15 October 2025

Femmes & sciences quand l’IA manque de modèles

Ex Machina, l’ère des algorithmes

Medias
13 October 2025

Podcast Big Bang sur France Inter

IA, sciences et société

Medias

In figures

They make PR[AI]RIE

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.

+130

Permanent Researchers from our partners with a proven record of excellence in AI.

80

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 Imaging

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.

Clinical decision support

Clinical Decision Support systems refer to as a specific type of algorithms designed to assist healthcare professionals in making clinical decisions.

Cognition

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

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…

Data science

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.

Genomics

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 and optimization

Machine learning is the core algorithmic component behind recent successes in artificial intelligence, relying on training models with vast amounts of data.

Natural language processing

Natural Language Processing (NLP) is at the intersection between linguistics, computer science and artificial intelligence.

Networked data management

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.

Robotics

From humanoid robots that could only walk on flat floors in the 2000’s, we have stepped within two decades to humanoid athletes…

Statistical physics

One of the major research lines in the PRAIRIE groups working at the interface of statistical physics and machine learning…

Education

All of our programs, dedicated to AI

Training from the college to the executive committee! We support our partners to offer a wide range of excellent AI training.

Undergraduate

Double Bachelor‘s degree in Artificial Intelligence and Organizational Sciences, International Bachelor of Science in AI, CPES – Sciences data, arts & cultures.

Graduate

Master AI & society, Master AI Systems, Data, Master BioMedical Engineering (ST4Health) Bioentrepreneur , MVA – Mathématiques, Vision, Apprentissage.

Lifelong training

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…

Paris School of AI of Université PSL

The Paris School of AI of Université PSL offers a complete journey, from Bachelor to PhD, and lifelong learning programs for professionals.

Last recruitements

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