Ce projet de recherche vise à relever le défi posé par la Loi 25, qui exige une gestion plus efficace des bases de données (BDD) pour éliminer les doublons. Pour les entreprises et organisations, cela signifie un besoin crucial d’unifier leurs bases de données pour éviter les redondances, telles que des noms, adresses, et numéros […]

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The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The […]

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 […]

PennyLane, une plateforme pour le développement de logiciels quantiques, possède l’avantage d’être indépendante des ressources matérielles utilisées. Xanadu, la compagnie conceptrice de PennyLane, a développé en collaboration avec ses partenaires des plugiciels permettant aux utilisateurs de répartir des fonctions quantiques vers différentes machines quantiques. Calcul Québec s’est ajouté à ces partenaires de développement pour créer […]

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Digital twin is a virtual representation of an object or system designed to accurately reflect the physical object. In the interior design field, this physical object can be a room of a building, or the entire building itself. Creating a digital twin for interior design involves capturing a virtual representation of a physical space, then […]

During visual regression testing of video games, automated techniques are employed to identify visual bugs. Visual bugs can be detected by just looking at them, such as those related to texture and lighting, but also more complex ones like those related to the physics engine (such as a flying horse) that require common-sense reasoning. The […]

Self-driving cars represent a transformative innovation in transportation, promising safer and more efficient travel. However, their development faces significant challenges, including accurate prediction, path planning, and safe maneuver execution, especially under varying driving conditions. Ensuring safety across all potential scenarios within the operational design domain is paramount. To effectively address this, we propose developing algorithms […]

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 […]

Initially within the application procedure for searching appropriate combination of care seeker/giver matches it’s observed that user must select a range of options like the type of health care worker (HCW) needed for the job, credentials they require, their estimated rate, distance from the location desired, choosing level of experience HCW possesses, and checking whether […]

This research project will explore how a Geographic Information System (GIS) analysis can aid in enhancing the sustainable Basa fish industry in Vietnam. Enhancement is achieved through increasing market value, reducing the impact on global seafood supply chains and reducing negative local environmental impacts. GIS is an application that allows for complex spatial analysis of […]