Résumé projet : SICKLE ASSIST Notre plateforme se distingue par son approche innovante, remplaçant les méthodes manuelles traditionnelles par des algorithmes d’apprentissage automatique. Ces derniers permettent une surveillance personnalisée des patients à travers les bilans biologiques, leurs complaintes, en identifiant les risques potentiels de complications et en priorisant les interventions en conséquence. En analysant les […]

Le cancer du sein représente un défi majeur en matière de santé publique et demeure la deuxième cause de mortalité chez les femmes par cancer dans le monde. Chaque année, 670 000 femmes perdent la vie à cause de diagnostics tardifs et de rechutes dans le cancer du sein, stades où malheureusement la réponse aux […]

Tout comme les grandes entreprises, les PME rencontrent des problématiques importantes quant à la sélection et le développement de leur personnel. Contrairement aux grandes entreprises, les PME n’ont souvent pas les ressources nécessaires pour accéder à des services professionnels et des outils de qualité. C’est la raison pour laquelle je développe un nouveau service abordable […]

Over the past decade, the telecommunication sector progressed and evolved quickly due to the installation of cloud-based artificial intelligence, which now needs at least data rates of 1.6 Tb/s and beyond to meet global demand. These changes are pushing the industry towards deploying scalable, highly performing, and low-energy-consuming computing units in telecom interconnect infrastructure. This […]

Le produit et les services qui sont étudiés dans l’analyse de marché visent à résoudre le problème de l’accessibilité et de l’efficacité des interventions dans les sous-stations électriques situées dans des zones éloignées et difficiles d’accès, en particulier dans le grand nord canadien. Ce stage favorisera l’étude du marché et la validation de la solution […]

Motor impairment is a common symptom after stroke and recovery of motor function is important for regaining the patient’s independence in activities of daily living. Being able to predict motion recovery and outcomes soon after stroke could support clinicians, patients and families to set proper goals for rehabilitation and appropriate plans of time and resource […]

Reinforcement Learning (RL) driven Electronic Design Automation (EDA) is revolutionizing layout placement optimization for integrated circuits, enabling a faster design process. By incorporating the RL techniques, we enhance the historically precise yet labor-intensive process for smart integrated circuit (IC) fabrication. This innovative approach streamlines IC design, accounting for factors such as foggy and proximity effects, […]

Collabrix AI is developing a platform to connect startups and SMEs with student teams for project execution. By using an AI algorithm to match projects with the right student teams, Collabrix AI helps businesses access flexible, affordable talent while providing students with valuable real-world experience. This project aims to validate the market need for such […]

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There are over 250 million scientific publications and reports with an increasing rate published each year, yet many are not accessible to the public due to their technical language and content hidden behind paywalls. This project aims to leverage AI (Artificial Intelligence) and a curated database of ocean-climate literature to enable educators and students to […]

Harmful algal blooms (HABs) are a growing threat to drinking water, fisheries, public health, and recreation. In recent years, HABs have increased in frequency and severity in both freshwater and marine environments. Blooms are hard to monitor because they can occur unexpectedly, and reporting methods across Canada are inconsistent, creating a patchwork of alerting methods […]

Video surveillance systems have rapidly expanded, driven by their critical roles in security and traffic monitoring. This expansion has produced vast data volumes, causing bottlenecks in communication systems due to the time-sensitive and bandwidth-intensive nature of surveillance data. To address these challenges, research has increasingly focused on developing algorithms to compress redundant data effectively, evolving […]