La protection juridique des données de santé dans les systèmes algorithmiques

Ce projet part du constat que le domaine de la santé n’est désormais plus l’apanage seul des acteurs publics, car de plus en plus de renseignements personnels relatifs à la santé sont captés et exploités par des acteurs économiques privés pour développer des dispositifs numériques “intelligentes”. Longtemps dépourvue d’une définition juridique, la notion de « […]

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Optimisation des flux de production et d’autoconsommation d’énergie par intelligence artificielle au sein de communautés d’énergies intelligentes

Le projet s’inscrit dans le cadre d’une thèse qui vise à étudier la faisabilité de l’autoproduction et de l’autoconsommation électrique d’une communauté (un “social solar club”) et évitant au maximum les pics de consommation qui dépassent la capacité de production de la communauté. En France, un système mis en place par le distributeur national (EDF) […]

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Amélioration de la classification des arbres tropicaux à partir d’images prises par drone grâce à la fusion d’entrées multimodales

Les forêts tropicales sont de plus en plus menacées par la déforestation, les incendies et les perturbations climatiques. Afin de surveiller la biodiversité et de prévoir les tendances spécifiques à chaque espèce, les chercheurs ont commencé à utiliser des technologies aériennes sans pilote (i.e. drones) pour identifier les espèces et cartographier la forêt. Cependant, les […]

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Open-source translational framework for AI-powered ultrasound-guided kidney interventions

This project aims to democratize access to advanced surgical navigation by developing an open-source, AI-enabled training and guidance system for ultrasound-guided kidney procedures. Built entirely within the free 3D Slicer platform, the system combines real-time tracking and deep-learning segmentation to help trainees and clinicians visualize kidney structures and plan safer, more precise punctures. The collaboration […]

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Medventions Atlantic – NL – Winter 2026 – Anesthesiology

The Medventions Atlantic – NL program is based on the proven model from Sunnybrook Health Sciences Centre which enables high-performing students and recent graduates from diverse academic backgrounds to engage directly with frontline clinical and innovation challenges. The interns are embedded within clinical environments to identify unmet needs, apply early-stage innovation thinking, and co-develop solutions […]

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L2M – FishNet Map: A Satellite-Based Fishing Hotspot Mapping Service

The FishNet Map project aims to create a practical, user-friendly mapping service that helps identify fishing hotspots in near real-time using satellite observations and environmental data. By integrating multi-source satellite observation with real-time weather and sea-state forecasts, the platform pinpoints optimal fishing zones, predicts hotspot shifts, and flags risks such as storms or restricted areas. […]

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L2M – AI-Driven Cybersecurity for Ocean Critical Infrastructure

This project will develop an AI-powered cybersecurity system to help protect important ocean infrastructure, starting with offshore energy systems such as oil and gas, wind and tidal farms. These facilities are becoming a key part of Canada’s clean energy future but are also vulnerable to cyberattacks that could cause costly shutdowns or disruptions. The project […]

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L2M: AI-assisted marine ecosystem monitoring

This project aims to turn raw underwater video into decision-ready science. Our software automatically detects, classifies, and counts marine species, then delivers results in a simple web dashboard with linked video clips, maps, and exportable reports. Instead of annotating from scratch, ecologists just review and correct AI suggestions—cutting review time by more than half. Built […]

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L2M – AI-optimized RF energy harvesting and Simultaneous Wireless Information and Power Transfer (SWIPT) platform

Ocean technology companies and research organizations rely on autonomous sensors, buoys, and communication nodes to monitor marine environments and support offshore operations. While these devices provide essential data, their dependence on batteries creates high servicing costs, logistical challenges, and limited deployment lifetimes in harsh marine conditions. Overcoming these limitations is critical for enabling sustainable, long-term […]

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L2M-COASTAIR

Coastal and marine pollution is draining ecosystems and budgets across Canada and beyond, yet we still check shorelines with clipboards or wait for low-resolution satellite passes. The result: blind spots, slow responses, and costly cleanups. COASTAIR flips that script. Our AI-enabled aerial platform pairs agile drones with RGB and hyperspectral cameras to spot, classify, and […]

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Structurer le changement : vers un cadre d’implantation de la plateforme FLOW

Ce projet vise à soutenir l’implantation d’une technologie d’intelligence artificielle développée par Flow Factor, utilisée dans le domaine de la santé mentale pour automatiser certaines tâches administratives et cliniques. Dans un contexte aussi sensible que celui de la relation d’aide, l’introduction de nouvelles technologies peut susciter des préoccupations ou des résistances. Le projet consistera donc […]

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Enhancing TMJ Disorder Diagnosis via AI-Assisted Segmentation

Temporomandibular Joint Disorder (TMD) is an umbrella term for diseases that affect the jaw. It is a common but often underdiagnosed condition that can cause significant jaw pain, limited movement, and long-term oral health issues. Accurate diagnosis relies heavily on the precise identification of tiny jaw structures in medical imaging, a task that remains challenging […]

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