Predicting the exploitability of vulnerabilities

Everyday, hundreds of new vulnerabilities are discovered and disclosed to the users of the systems they affect. The sheer volume of vulnerabilities makes it difficult, if not impossible, for system administrators to rapidly address every vulnerability. Furthermore, research shows that only 5% of vulnerabilities are eventually exploited. This situation brings about a need to prioritize […]

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Model compression and inference optimization for UAV’s companion computer

With the evolution of computer vision methods in recent years, more and more scene-understanding methods have been proposed. Meanwhile, SOTI also designed and developed several scene-understanding algorithms. However, due to the limited computing capabilities of UAVs, all these algorithms need to be compressed to use fewer resources. This project will deliver a model compression and […]

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Secure and Practical Federated Learning with Multi-Key Homomorphic Encryption

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 […]

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Healing Trauma Using Digital PTSD Therapies for Anyone, Anywhere

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 […]

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Smooth Guide Hair Interpolation for Procedural Grooming

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 […]

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Low-Power Signal Processing Algorithms for an Athletic Performance Monitor

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. […]

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Development of a system for the automatic recognition and classification of normal and abnormal cells in human blood samples

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 […]

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Automating interaction between Grain Management Software

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 […]

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AlleyCorp Nord : MLOps pour les incubateurs

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 […]

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Towards AI Assisted Training Tool: Automated Identification of Calcifications in Optical Coherence Tomography Breast Tissue Images.

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) […]

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AI-driven Predictive Models and Consumer Insight for Trade Optimization Improvement

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 […]

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Enhanced & Editable Deep Fakes

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 […]

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