Build and improve image embedding models of cellular phenotypes

The over-arching goal of the project is to explore the use of several recently developed self-supervised image representation learning methods in an attempt to improve performance across several biologically relevant benchmarking tasks at Recursion. At recursion, deep-learning based models are used to generate feature embeddings for our imaging data and these embeddings to generate downstream […]

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Clinique MultiSens-L’intelligence artificielle au service des lecteurs en difficultés d’apprentissage

L’innovation sociale proposée consiste à apporter aux jeunes ayant des difficultés un soutien à la compréhension et à l’effort cognitif en lecture en appliquant la technologie FROG-(FRee yOur coGnition) à une nouvelle bibliothèque de livres numériques d’auteurs québécois. Aucun outil technologique équivalent n’est actuellement offert au Québec. Le présent projet vise à adapter cette application […]

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Support groups gamification and immersive virtual reality

Honest Empathy Innovations Inc. aims to build sustainable mental healthcare solutions with groundbreaking development and innovation in machine learning. We plan to build a next-generation machine learning platform that Canadians can access for their mental health with this project. Our solution is supported by the Canadian Mental Health Association, NEXT Canada, and Yukon Government. Our […]

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Evaluation of novel antiviral compounds against SARS-CoV-2

SARS-CoV-2 appears to be poised to become endemic, meaning that we can expect continuous risk of exposure to infection. Despite highly effective vaccines, people still become infected, and some people become severely ill. Antivirals that can reduce symptoms and decrease the levels and duration of infection can aid in reducing onward transmission of the virus. […]

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Development of a tele-health rehabilitation system to provide automatic assessment of patients’ performance, improve patients’ adherence and enable remote rehabilitation-(market and competitor analysis, regulatory & software design)

Poor physical recovery, especially in remote rehabilitation, is the problem that will be addressed in this project. This project is Phase I of development of Fun-exercise module. Fun-exercise system uses gamification to boost patients’ adherence to their prescribed home-exercises. To achieve this goal, Fun-exercise will use mentally stimulating and customizable games paired with a set […]

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Information Extraction from Data Visualizations

Regulatory agencies publish several documents that outline the approval process of drugs. These contain valuable information on a drug’s safety, efficacy, etc. along with the feedback of reviewers from the agencies. Current technologies apply machine learning techniques to extract and categorize the unstructured text found in these documents. However, it does not accurately capture information […]

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Smart Textiles for Monitoring Aerobic Function using Artificial Intelligence

Physical activity is a crucial part of cardiovascular disease and prevention. Some of the most important clinical measurements relate to how effectively the body is able to consume and use oxygen to fuel muscles. However, these clinical measurements require complex technologies that make it only feasible in a laboratory environment. New technologies will be needed […]

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Cloud platform of machine learning

Surgical Safety Technologies Inc. is expanding upon its existing OR Black Box® platform, which will allow users of the platform to build a personalized, user-created library of surgical videos in the cloud. There are many people and groups around the world who will use this video library to make sure that performance evaluations are fair […]

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Modeling and Optimization of roof based BIPV/T with air source heat pump

Incorporating the Air Source Heat Pump (ASHP) into Building Integrated Photovoltaic/Thermal (BIPV/T) system has the potential to reduce building heating and cooling costs and dependence on non-renewable heating fuels. ASHPs could boost the quality and quantity of heat output of a BIPV/T system by delivering a seasonal Coefficient of Performance (COP) of between 2.0 and […]

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Real-time Bidding Using Contextual Targeting

Ads keep the internet free. But, to keep them from becoming spam and degrading the user’s online experience, they need to be relevant to them. The traditional way the industry does this is by collecting a lot of information about every user and creating profiles that can be used to target users based on their […]

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Autonomous Navigation for Small UAV in Indoor GPS-denied Environments

With the evolution of unmanned aerial vehicles (UAVs) in recent years, more and more researchers are setting their sights on the application research of the indoor environment. Indoor applications include industrial facility inspection, warehouse inventory management, health sector, search, and rescue, among others. However, the use of UAVs in these applications requires continuous high-accuracy positioning […]

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Automated code fix suggestions based on source code syntax tree analysis

AMD manages a very large code base that supports multiple graphics products, operating systems, and customers with multiple releases per year. With a high rate of innovation and corresponding code changes it is a daunting task to ensure a given change works correctly on all applicable configurations for every release. It is therefore imperative to […]

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