Les systèmes tutoriels intelligents sont de plus en plus utilisés pour offrir un apprentissage personnalisé dans les environnements numériques. Ils permettent d’adapter les activités aux besoins de chaque apprenant, de suivre sa progression en temps réel et de fournir un accompagnement individualisé. Ces technologies génèrent une grande quantité de données sur la façon dont les […]

Compositionality — the ability to understand new combinations of familiar parts — is a core aspect of human cognition and reasoning, but current vision-language models such as CLIP still struggle with it. These limitations reduce the reliability of systems that must correctly interpret objects, attributes, and relations in real-world scenarios. Although many methods have been […]

This project will help develop GutSight, a new test to monitor inflammation in people with inflammatory bowel disease (IBD) without relying only on colonoscopies. Over four months, I will improve the way we measure gut biomarkers, strengthen the computer model that predicts disease activity using data from 400 patients, and do basic research on how […]

Waste sorting today is inefficient and relatively expensive since current systems can’t achieve full autonomy. Our project introduces a practical solution that combines AI-powered vision-based object detection with low-cost robotic manipulators to automatically detect and sort waste streams in real time. This innovation reduces hardware and maintenance costs, minimizes the labor reliance, and greatly enhances […]

Most technology engages our eyes and ears, rarely our sense of touch. When a phone vibrates or a steering wheel buzzes, the goal is to alert us, not to guide us. Yet in daily life, touch guides our actions. Turning off an alarm in the dark, for example, relies on tactile feedback to find the […]

This project aims to improve a home-based reminder system that supports people living with dementia and their caregivers. The system, called Remindful, uses artificial intelligence (AI) to detect unusual changes in daily routines that may signal health concerns. This research will make the system more trustworthy by adding features that show how confident the AI […]

Complex diseases like neurological disorders, rare pediatric conditions, chronic kidney diseases, sepsis, and complications from maxillofacial surgery are putting pressure on the global healthcare system. As the volume of medical data grows, ranging from imaging and physiological signals to electronic health records, there is an increasing need for more precise and personalized approaches to diagnosis […]

Les sécheresses extrêmes constituent un enjeu majeur dans un contexte de réchauffement climatique, affectant l’agriculture, les ressources en eau, la production énergétique et les écosystèmes. Leur caractère multi-échelle, dépendant des interactions entre précipitations, évapotranspiration, humidité du sol et stockage souterrain, rend leur détection et leur prévision complexes. Les indices traditionnels (SPI, SPEI, SSI) apportent une […]

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 […]

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 […]

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, […]

Nowadays, many young Canadians [2] and newcomers [1] begin their financial journey with limited access to guidance on saving and investing, which leaves them at risk of debt and missed opportunities to build wealth. Existing tools are often complex and designed for experienced investors, not beginners. This project aims to develop and validate GradientX, an […]