Explore Mila's latest Impact Report, which showcases the remarkable achievements of our community members over the past year.
Join us at Mila on November 26 for the launch of the report and policy guide that outlines actionable recommendations for building inclusive AI ecosystems.
Mila's annual supervision request process for Fall 2025 admissions will be open from October 15 to December 1.
One of the most promising perspectives of machine learning algorithms is their ability to quickly collate and analyze large amounts of data. Artificial intelligence (AI) can help push the boundaries of scientific research with its ability to assess decades worth of data.
Scientific fields such as biology, genomics, chemistry, climate science, and physics have all accumulated quantities of data so vast that it would take many human lifetimes to read and digest the information.
Using machine learning, scientists can now tackle complex and multidisciplinary challenges by accelerating the analysis of data, discovering new connections, simulating and proposing experiments, and developing new theories.
This project aims to further develop AI-assisted SRM microscopy approaches to improve its performance in living cells and tissues, diversify the applications of SRM microscopy in neuroscience, and more.
AI is an all-encompassing technology that can help us move beyond bottlenecks and speed up research in many scientific areas to help humanity tackle our most pressing challenges.
Mila professors exploring the subject as part of their research.
