Le projet vise à développer un portrait clair et actuel des organismes qui soutiennent le développement du secteur agroalimentaire au Saguenay–Lac-Saint-Jean. Bien que la région soit riche en ressources, en expertises et en initiatives, il est parfois difficile pour les entreprises de savoir à quelle porte frapper pour obtenir du soutien. Plusieurs organismes travaillent fort […]

As multi-agent systems become more complex, improving how Large Language Model (LLM)-based agents work together is increasingly important. This research focuses on creating reusable design patterns and adaptive coordination strategies to boost collaboration and system performance. Blend360 is an AI service provider that builds advanced solutions for clients in sectors like finance, healthcare, and consumer […]

This project aims to make mass timber buildings, a sustainable alternative to concrete and steel, even more reliable. While mass timber is great for the environment, we don’t fully understand how it handles moisture over time, which can affect its durability. Our project will tackle this by using advanced sensors to monitor a new mass […]

Sturgeon Bank is a Wildlife Management Area within the unceded traditional territories of the Coast Salish peoples, and west of the City of Richmond, British Columbia. Sturgeon Bank is primarily comprised of intertidal marsh, mud flats and open water, and provides several ecological and coastal risk mitigation benefits. However, monitoring indicates that Sturgeon Bank’s salt […]

Faulting might be affecting the flow of injected CO2 into the subsurface at the Aquistore Carbon Capture and Storage facility in southeastern Saskatchewan. 3D seismic data indicate that faulting affects the Deadwood Sandstone injection target approximately 100 m to the west of the injection well. The seismic data cannot however image all the structural complexity […]

Ce projet de recherche vise à mieux comprendre comment les professionnels (p. ex., des conseillers pédagogiques ou des psychologues) qui accompagnent des équipes-écoles (p. ex., des directions d’école ou des personnes enseignantes) peuvent les aider à adopter de nouvelles façons de répondre aux besoins des élèves ayant un handicap ou des difficultés d’adaptation ou d’apprentissage […]

Robitaille Équipement : Intégration de l’intelligence artificielle dans le processus de prix de vente Principales activités du partenaire : Robitaille Équipement inc. fournit à ses clients, à travers la province de Québec et les maritimes, des pièces d’usure pour la machinerie lourde et des pièces et équipements pour le déneigement. Qu’il s’agisse de pièces ou […]

This research project will explore how certain genetic differences may increase the risk of developing mental health conditions like schizophrenia and bipolar disorder. These conditions often begin in the teenage years or early adulthood, but researchers believe that early brain development, before and after birth, plays a key role. The intern will use powerful computer […]

Severe traumatic brain injury (sTBI) is a leading cause of mortality and disability in pediatric populations. Surviving patients often face long-lasting neurological deficits exacerbated by primary and secondary injury, necessitating further advancements in prognosis and understanding of sTBI mechanisms. Our project aims to address this issue by identifying differentially expressed proteins present in pediatric sTBI […]

This project will extend Bruce Power’s Unit 7 Digital Twin by developing a library of 3D digital assets comprised of digital models of nuclear plant components, each containing metadata referencing applicable technical specification data. Aligned with the CFI College Fund award that supports XR-enabled maintenance training, student interns, spanning computer science, web technology, nuclear engineering, […]

Advisory bodies are one of the many ways Toronto City Council and City staff receive input from the public and organizations to address priorities and inform decision-making, policy development and service delivery. This project will assess current approaches to advisory bodies in Toronto and other Canadian municipalities and, through jurisdictional research and participant interviews, identify […]

Knowledge graphs are a means of structuring semantic knowledge that can be used to increase AI reliability. In our applications, Large Language Model (LLM) chatbots are not on their own able to meet 100% accuracy goals for our scenarios, and we use the knowledge graph to reflectively validate answers before presenting them to the user. […]