Partnerships

Applied or Fundamental Research Projects

Tailored support to help you develop a project with our applied machine learning experts or faculty members.

Talent

Several opportunities to recruit from our community of approximately 900 master’s, doctoral and post-doctoral students (job and internship fairs, online job portal).

Community

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 AI in Montreal.

Events & Scientific Training

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 goal was to refine our generative pipeline to produce realistic and diverse floor plans for any building type, overcoming the limitations of its current AI approach in terms of real-world adherence and constraint flexibility. To achieve this, our two Mila interns proposed adopting a deep learning methodology to exploit real-world data to generate floor plans that respect user-defined constraints while guaranteeing diversity and realism. Thanks to this approach, we were able to refine our algorithms, make our solutions more efficient and better aligned with our customers' needs, leading to a significant increase in customer satisfaction and strengthening our competitive position in the market. "

Stéphane Turbide - Co-founder and COO, Maket

" Druide informatique specializes in developing and marketing writing assistance software. This particular project aimed to explore different neural network architectures for text correction in both English and French, with the goal of compiling a list of models and hyperparameters to study. The intern we recruited from Mila conducted an in-depth review of encoder models that could enhance our neural correction engine. Additionally, they trained and deployed a model for corpus annotation which led to a 50% increase in productivity! Their contribution to the project was so valuable that we offered them a position to come back and work with us. "

Jasmin Lapalme - Software Integration Director, Druide Informatique

" Our project with Mila aimed to use AI to predict the power supply to medium-voltage satellite substations over upcoming hours and days, based primarily on meteorological data. It also involved exploring parallelization techniques to train several hundred AI models on a machine equipped with a hundred CPUs, as well as setting up an efficient method for monitoring experiments. The work performed by the Mila intern led to the creation of a proof of concept and an algorithm. Thanks to them, we were able to test an online tool for analyzing AI model performance, experiment with an initial approach to parallelization integrated with the tracking tool, and optimize meteorological inputs for satellite substations. "

Stéphane Dellacherie - Engineer, Forecasting and Optimization, Hydro-Québec