Artificial Intelligence Driving Digital Transformation at Mines Paris – PSL
From health to energy, from mathematics to robotics, including materials science, computer science, and management sciences, artificial intelligence now permeates many areas of research at Mines Paris – PSL. Through its 18 research centers, the School develops approaches grounded in solid scientific and mathematical foundations to design reliable, explainable, and resource-efficient AI that supports digital, ecological, industrial, and societal transitions.
Robotics, energy transition, the industry of the future, materials science, organizational transformation, and digital sovereignty: a look at the latest news from the centers harnessing AI to address today’s major challenges.
Driven by complementary approaches, the research conducted at the various Mines Paris – PSL centers demonstrates the diverse applications of artificial intelligence. Whether it involves developing new mathematical models, accelerating biomedical research, optimizing energy systems, designing the materials of tomorrow, or supporting organizational transformation, this work shares a common ambition: to harness AI to advance robust scientific knowledge and high-impact applications.
At CBIO, Decoding Biology to Improve Healthcare
AI That Sheds Light on Living Organisms
Understanding the inner workings of cells, accelerating the discovery of new treatments, and tailoring medicine to each patient are among the major contemporary challenges facing the life sciences. At the Center for Bioinformatics (CBIO) at Mines Paris – PSL, artificial intelligence (AI) serves as a key scientific tool for addressing these challenges, within an international context that promotes AI for the benefit of people, the planet, and progress.
Led by Professor Thomas Walter, the CBIO develops advanced machine learning methods capable of analyzing massive and heterogeneous biological data. This work illustrates how the center harnesses AI to advance basic research, drug discovery, and precision medicine.
At the CMA: Studying the Mathematical Foundations of AI
Reliable, Efficient, and Explainable AI
Behind the spectacular performance of artificial intelligence (AI) lies a fundamental question: Can we understand, control, and ensure the reliability of these models, often referred to as “black boxes”? At the Center for Applied Mathematics (CMA) at Mines Paris – PSL, researchers are exploring a different approach: AI based on rigorous mathematical frameworks capable of incorporating geometry, physical constraints, and data uncertainty.
Led by Nadia Maïzi, the CMA is conducting research that combines deep learning, mathematical optimization, optimal transport, and geometric data processing, within an international context that promotes AI for the benefit of people, the planet, and progress. This research illustrates the center’s tangible impact on fields related to ecological and digital transitions, including energy optimization, computer vision, and the analysis of spatial data.
At the CRI, AI at the Heart of Research
More Efficient, Energy-Efficient, and Useful AI
From large language models capable of analyzing hundreds of thousands of pages to supercomputers that consume as much electricity as a small town, artificial intelligence (AI) today faces a critical challenge: how can it continue to improve performance without causing computational, memory, and energy costs to skyrocket?
At the Computer Science Research Center (CRI) at Mines Paris – PSL, researchers are tackling this fundamental challenge within an international context that promotes AI in the service of people, the planet, and progress.
Led by researcher Corinne Ancourt, the CRI conducts research combining AI, high-performance computing (HPC), and software optimization. This work has a clear objective: to design methods and tools that enable the efficient, cost-effective, and secure deployment of applications—particularly artificial intelligence applications—for the benefit of science, industry, and society.
At CMAT: Predicting and Optimizing the Materials of the Future
AI from Data to Matter
Understanding, predicting, and optimizing the behavior of materials is a key challenge for industry, from aerospace to energy, transportation, and additive manufacturing. At the Center for Materials (CMAT) at Mines Paris – PSL, artificial intelligence (AI) is not a miracle “black box”: it is becoming a foundational scientific tool, closely linked to the laws of physics and experimentation, within an international context that promotes AI in the service of people, the planet, and progress.
Led by Professor Jérôme Crépin, CMAT embodies a clear ambition: to use AI as a lever to design safer, higher-performing, and more sustainable materials, while drastically reducing experimental costs and computation times. The center’s research spans from digital twins to AI-generated microstructures, at the intersection of physics, data, and industry.
At OIE: Better Observation for Better Forecasting
AI That Ensures Energy Security
How can we better forecast solar production, secure power grids, and support the energy transition amid rapid growth in photovoltaics? At the Center for Observation, Impacts, and Energy (OIE) at Mines Paris – PSL, artificial intelligence (AI) is becoming a major scientific driver for transforming energy observation into operational decisions.
Led by researcher Thierry Ranchin, OIE bases its research on heterogeneous data sources such as satellites, ground-based sensors, and aerial imagery. The center’s work develops frugal, explainable, and physically grounded AI methods to address critical industrial, environmental, and societal challenges.
Researchers also actively engage with international stakeholders on best practices in AI, particularly within the framework of the International Energy Agency (IEA), to promote AI that is understandable, traceable, and physically consistent.
CAOR’s Advances
AI That Sees, Understands, and Acts
Collaborative robots capable of anticipating human movements, automated vehicles that perceive their environment beyond their field of view, immersive systems that recreate 3D scenes with striking realism… At the Robotics Center (CAOR) at Mines Paris – PSL, artificial intelligence (AI) is not viewed as an abstract technology, but as a set of concrete tools serving systems that interact with the physical world and humans.
Led by Professor Fabien Moutarde, the CAOR designs, prototypes, and tests real-time AI algorithms integrated into complete robotic loops: perceiving, understanding, deciding, and acting. This research reflects a strong ambition: to make AI a catalyst for understanding and cooperation between humans and machines
Research at the CGS
AI that benefits organizations
How can artificial intelligence (AI) be made into more than just a high-performance tool? At the Center for Scientific Management (CGS) at Mines Paris – PSL, AI is not approached as a mere technological feat. It is studied as a means of managing, designing, and transforming organizations, within an international context that promotes AI in the service of people, the planet, and progress.
Led by Cédric Dalmasso, the CGS conducts research ranging from predictive maintenance of wind turbines to creative work enhanced by generative AI. This work explores a central question: How can AI be leveraged to drive performance, innovation, and sustainability without losing sight of human, organizational, and social dynamics?
This research illustrates the diversity of expertise developed at Mines Paris – PSL and the central role that artificial intelligence plays in addressing major scientific, industrial, and societal challenges. By drawing on complementary approaches, the School’s research centers contribute to the development of rigorous, responsible, and innovation-driven AI.
