Apprentissage profond informé par la physique des ultrasons

Dans le domaine du contrôle non destructif, l’intelligence artificielle peut être utilisée pour inspecter de grandes quantités de données ultrasonores (ce sont des échographies de matériaux métalliques, composites ou autres), pour y détecter des défauts de fabrication ou d’usure (par exemple des trous, de la corrosion, etc.). L’application de techniques éprouvées d’IA donne des résultats […]

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Adapting Not-for-Profit Arts Publishing to the Post-Digital Paradigm

PUBLIC (est. 1988) is a not-for-profit print periodical exploring the intersection of art, design, technology, and culture. This research project advances that history by looking at the future of print culture as today’s artists are increasingly making and exhibiting work in online spaces. How can PUBLIC promote engaging and accessible conversations around artists working exclusively […]

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Enhanced machine learning for hematology analytics with near-field microscopy

Alentic Microscience Inc has developed a highly portable device that can analyse blood in a few minutes, opening the possibility for much improved healthcare for a lower coast. The system uses AI a proprietary sensor system that provides data for an AI based analysis technique. In this project we will evaluate the impact of recent […]

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Fusion d’une méthode classique et d’une méthode par apprentissage automatique pour la détection de mouvements humains par radar

Le radar développé par Morphée+ détecte avec une grande précision la présence de 1 à 3 sujets/objets mobiles dans une pièce vide ou avec des objets immobiles. Cette identification des mouvements est affectée lorsque d’autres objets ou sujets sont en mouvement dans la pièce. La méthode utilisée actuellement par Morphée+ se base sur l’utilisation de […]

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Forecasting Vehicle Maintenance Needs and Breakdowns using Predictive Maintenance

Improving road safety has a direct impact on the lives of drivers as well as the costs incurred by companies operating commercial vehicles. One important aspect of road safety is timely and effective vehicle maintenance. By forecasting vehicle maintenance needs and predicting breakdowns before they occur, valuable insights can be provided to drivers and fleet […]

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Ai-based musical intervention to improve emotion through a personalized speaker

Mental disorders have a significant influence on the daily activities of Canadians. Musical intervention can provide a non-invasive treatment through changing emotional state and creating positive mood. The main objective of this project is to provide a long-term solution for musical intervention through an optimized machine learning framework for an intelligent real-time emotion recognition and […]

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Establishing Travel Needs of Older Adults

Many older adults in Canada are becoming increasingly isolated from their communities. This is largely due to the fact that Canadian cities are built with cars in mind, and many older adults rely heavily on driving to get around. However, as they age and lose their ability to drive, many older adults often are unable […]

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