Organizations with machine learning capabilities can find great value in entering Mila’s partnership program.
Mila distinguishes itself by the impressive achievements of its researchers and the in-depth expertise of its technology and applied artificial intelligence teams of experts. Through a unique collaborative structure, Mila delivers tools that meet the needs of organizations building their AI capacity.
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Mila hosts nearly 90 industry partners in its ecosystem, including 46 startups.
Since 2018, one-third of the 2,000+ researchers’ scientific articles have been co-authored with industry partners.
More than 176 Mila interns have worked in Quebec companies since 2018 to help them make the shift towards AI.
Mila has completed over 112 projects with various organizations to help them accelerate the development and deployment of AI in their products and services.
Several opportunities to recruit from our community of approximately 800 master's, doctoral and post-doctoral students (job and internship fairs, online job portal).
Gain access to a unique collaborative workspace at the heart of the AI ecosystem and a diverse community located in the Mile-Ex, the Mecca of artificial intelligence in Montreal.
Take part in a wide array of activities and training sessions to stay current with the latest scientific advances, research trends and upcoming publications.
Our partners closely work with Mila professors and their students on innovative, high-impact projects grounded in open science.
Professors Blake Richards (McGill/Mila) and Guillaume Lajoie (UdeM/Mila) are working closely with BIOS Health, a biomedical company whose goal is to optimize, automate, and personalize the treatment of chronic heart conditions through neural interfaces. Partners since 2019, BIOS and Mila researchers are bringing together their brightest minds to develop a closed-loop neuromodulation system using AI.
By leveraging state-of-the-art meta-learning, BrainBox AI and David Rolnick (McGill/Mila) are working together to reduce the amount of data needed to train the company's globally deployed AI algorithms. Specifically, this collaboration will result in the development of a neural network that is “conscious” of the components of a new building and capable of deploying its intelligence in similar buildings. These efforts will enable BrainBox AI to implement an accelerated learning process to benefit AI-built environments.
Professor Christopher Pal (Polytechnique/Mila) is working with Algolux to develop a car simulator to accelerate research on planning and decision-making in autonomous driving. Their recent collaboration produced latent variable sequential set transformers that predict the future evolution of real-world multi-agent scenarios. Equipped with these models, the simulator can generate new plausible scenarios of interactions between multiple agents. The result of this collaboration will facilitate research on reinforcement learning and planning algorithms for self-driving cars or sidewalk robots.
Mila introduced additional privileges to meet the needs of its startup partners.
Some of our startup partners were founded by Mila research students. See how we support their rise.Learn more