CNRS International Research Laboratory

International Laboratory on Learning Systems

We study how machines learn, when their predictions can be trusted, and how they can support decisions in the real world.

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Montréal, Canada France

Scientific programme

Research directions

Four questions about the foundations and uses of learning systems.

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Research axis I

Foundations of Machine Learning

When can a model make reliable predictions on data it has never seen?

Research axis II

Trustworthy Generative AI

How can we check the evidence behind a generated answer?

Research axis III

Multi-Agent AI and World Models

How do agents coordinate when each sees only part of the world?

Research axis IV

AI for Healthcare Systems

Will a clinical model still work at another hospital, on another scanner or for another population?

Exterior of ÉTS Pavilion F in Montréal — PAVILION F · ÉTS MONTRÉAL

The laboratory

A shared lab in Montréal

Founded in 2022, ILLS brings researchers from France and Québec together at ÉTS Montréal to advance learning systems. Its research spans the foundations of machine learning, safe and trustworthy generative AI, multi-agent AI and world models, and AI for healthcare and critical engineering systems. Across these areas, researchers study how AI systems learn, communicate and make decisions, and how to make them reliable, fair and privacy-preserving.