Nowadays, our data is stored and processed in the cloud, and there are increasing privacy concerns. Federated Learning (FL) has recently emerged to allow users to keep their data private and collaboratively train machine learning models. To ensure that no client data can be revealed, there are multiple challenges in designing a system to be […]

Savyn offers digital therapies based on Eye Movement Desensitization and Reprocessing (EMDR) and written exposure therapy, which are digitized and adapted versions of existing therapy protocols provided in person to heal trauma and PTSD. Savyn offers access to patients and clients who have PTSD but cannot get the help they need due to a shortage […]

Most recent animated films such as Peter Rabbit 2 or DC League of Super-Pets come to life with many hairy and furry characters. In this project we will build on recent advances in computer graphics to develop better tools for grooming hair and fur. We aim to improve the experience of artists in the animation […]

GestureLogic is building a product that optimizes athletic performance. The product is a wearable sensory network that monitors muscle activity. The goal of this research is to take this inherently complex muscle data that is acquired by the sensory network and translate it to useful biometrics for the consumer with the help of intelligent algorithms. […]

Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing cost, and training new staff. Our current goal is to go from the proof of concept stage (automatic recognition and classification of human blood images) to a complete working optimized prototype and to start testing it in an […]

VeriGrain™ Sampling Inc. (VeriGrain) is an AgTech firm who has created a farm inventory data management system. They solve a substantial problem in the food chain which results in grains being undervalued, under- utilized, and untraceable. VeriGrain requires the ability to connect to third party agricultural software so that their customers do not need to […]

AlleyCorp Nord (ACN) a créé et développé plus de 20 entreprises sur un modèle d’incubation propriétaire (dont la plus connue MongoDB). Les entreprises fondées par AlleyCorp ont levé collectivement plus d’un milliard de dollars en capital-risque et emploient des milliers de personnes à travers l’Amérique du nord. Beaucoup de ces entreprises visent à utiliser l’apprentissage […]

Breast cancer is the most common cancer (excluding non-melanoma skin cancer) in 109 countries including Canada. Approximately 70% of the breast cancer surgeries are breast-conserving lumpectomy procedures. Histopathology analysis typically require 2-4 days, resulting in the need for a second surgery if a margin is positive. Perimeter Medical is developing advanced Optical Coherence Tomography (OCT) […]

The proposed project is to develop AI strategies to provide precision marketing through consumer segmentation and recommender systems, as well as to promote events that shall meet various business goals for retailers and Unilever. Successful outcomes will feed into an On-Demand AI Engine aimed at improving consumer engagement and pricing strategy in the consumer packaged […]

Traditional Computer Generated Imagery (CGI) splits the process into separate stages: we model geometry; apply textures and define surface properties; animate motion; and apply lighting; before combining the elements when rendering imagery. Deep-learning methods such as Deep Fakes, or NeRF train a network to combine many of these steps into a single network, and are […]

The proposed research project aims to improve the way data is transmitted between mobile devices and company servers. This will improve the speed and security of file transfers, data synchronization, application deployment, and distant management of mobile devices. The intern will collaborate with experts from the partner organization who will offer guidance and support in […]

L’Intelligence Artificielle est utilisée dans le domaine médical afin d’offrir d’une part une aide à la décision à un personnel médical généralement surchargé et d’autre part une meilleure personnalisation des soins à partir des données relatives à une population. Il est nécessaire de vérifier a posteriori, la bonne généralisation du modèle avec des ensembles de […]