This project focuses on developing and evaluating automated methods for analyzing complex no-code automation workflows used in enterprise environments. Platforms such as Workfront Fusion and Make.com allow organizations to build powerful automations quickly, but as these workflows grow in size and importance they often become difficult to understand, maintain, and safely modify. Changes are frequently […]

People in VR can see each other and see the same virtual objects, but the feeling of touch is usually weak or missing. It is not realistic to give everyone a full set of physical replicas for every virtual item they use. Instead, this project will explore how one or two simple physical objects can […]

Use of generative artificial intelligence (GenAI) has skyrocketed in software development. Although gains in workers’ productivity have received significant recent attention, little is known regarding the deeper long-term effects of these tools. Researchers from the University of Victoria, Canada and the University of Zurich, Switzerland are conducting an experimental study to evaluate the potential risks […]

The main goal of this project is to integrate advanced machine learning techniques into the open-source PyBEST quantum chemistry software package to substantially accelerate quantum chemical calculations through the automated selection of optimal computational strategies. The project specifically targets the AI-driven optimization of tensor contraction operations (TCOs), which constitute the primary computational bottleneck in many […]

A web system, Computer Supported Collaborative Learning (CSCL) Assistant that supports teachers to have their students grouped and work on tasks together via discussion, is currently used by a university. At this moment, CSCL Assistant uses chatbot to participate into a group discussion with the help of ChatGPT and Google Gemini. ChatbotLLM (https://chatbot.vipresearch.ca), is IEEE Northern […]

Le projet de recherche proposé vise à développer un système basé sur l’Intelligence Artificielle multimodale pour analyser à la fois les images morphologiques et les données génétiques de poissons appartenant aux espèces Diaphanus et Heteroclitus. L’objectif est de permettre l’identification automatique des espèces, de déterminer le sexe des individus et d’évaluer le degré d’hybridation afin […]

This project aims to make power grids smarter and more efficient by using a type of artificial intelligence called Graph Neural Networks along with Deep Reinforcement Learning. Just like a GPS finds the best route for a car, our system will find the optimal paths for electricity to travel, especially from clean but unpredictable sources […]

(1) Partner Activities: Nasdaq Verafin is an industry leader in developing advanced anti-financial crime solutions, helping financial institutions worldwide detect and prevent fraud and money laundering through its sophisticated data analysis platform. (2) Challenges: The primary challenges this project addresses are the significant operational cost associated with processing millions of cheque images for fraud analysis. […]

(1) Partner Activities: Nasdaq Verafin is a global leader in financial crime management, providing advanced fraud detection and anti-money laundering solutions to financial institutions. The company processes millions of transactions daily, including check-based payments, to identify suspicious patterns and prevent financial crimes. (2) Challenges: A critical challenge in check fraud detection is identifying sophisticated fraud […]

Le diabète de type 2 est une maladie chronique en forte augmentation qui touche des millions de personnes et représente un défi majeur pour les systèmes de santé. Il résulte de l’interaction de plusieurs facteurs, dont la génétique, l’état de santé, le mode de vie et l’environnement. Une détection tardive peut entraîner des complications graves, […]

InsurEasy is a multilingual AI insurance agent that provides Canadians with transparent, commission-free coverage recommendations, making insurance more affordable and easier to understand for everyone.

Le projet CyberSoc_AI vise à rendre la cybersécurité des organisations plus intelligente et plus efficace grâce à l’intelligence artificielle explicable. Aujourd’hui, les centres de surveillance informatique (SOC) reçoivent chaque jour des milliers d’alertes, dont une grande partie sont des faux positifs. Cette surcharge ralentit les équipes et augmente les risques d’incidents non détectés. Le stagiaire […]