Machine Learning developer intern working with the Government of Alberta to develop and commercialize AI-powered solutions in the Public Services sector (1)

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 […]

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Transpilation sur Pennylane adaptée à MonarQ

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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Visual Regression Testing of Video Games Using Foundation Models

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 […]

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Lossless Ethernet

Telecom operators are demanding more flexible, scalable and energy efficient products. As a system integrator managing networks for operators, Ericsson realize that the benefits of using modern and improved systems is becoming even more critical, as they offer a reduced Operational and Capital Expenditure (i.e. OPEX and CAPEX) of Information and Communication Technology (ICT) systems. […]

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Fast Scenario Identification and Classification

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 […]

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Vision-based Maneuver Classification for Autonomous Driving

The proposed research project aims to address the challenge of accurately detecting and classifying complex driving maneuvers in real-world conditions. Partnering with Matt3r Technologies Inc. in Vancouver, BC, this research will develop a deep learning model that uses multiple types of data, such as dashboard video, to achieve maneuver detection for autonomous vehicles. This innovation […]

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Research and Development of an AI based Software to Recognize Realtime TV Commercials on Low-power Computing Equipment

This research will explore the possible use of video analysis, object detection, and machine learning models to identify TV commercials and advertisements in real-time on low-power computer systems. The partner organization focuses on software development and advertisement technology. The partner aims to solve the challenge of developing a lightweight power-efficient AI-based software that would be […]

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Algorithmic and Software Innovation in Parametric System Solving, Polyhedral Geometry and Symbolic Analysis

Computer Algebra Systems (CAS), with their unique ability to analyze and solve mathematical problems, are gathering new communities of users, who challenge those software systems with more and more complex tasks. It is necessary, therefore, that the core engines of CAS to implement state-of-the-art algorithms. This proposal capitalizes on the research conducted by academic partners […]

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Conception d’un robot conversationnel de recommendation de contenus musicaux francophones sur les plateformes numériques d’écoute en ligne (PNEL)

Ce projet de recherche consiste à créer un robot conversationnel qui peut interagir avec les gens et leur recommander de la musique enregistrée en français. L’idée est que ce robot interroge des bases de données de musique en ligne pour suggérer des oeuvres musicales adaptées à chaque personne. Dans un monde où beaucoup de gens […]

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AI-Powered Leagues Scheduler Project

Numerous barriers exist to participating in sports, and a study by the Canadian Fitness and Lifestyle Research Institute has shown that 12% of respondents cited not having anyone to participate with as an obstacle. (Canadian Fitness and Lifestyle Research Institute, 2013). With this project, we aim to leverage algorithms and artificial intelligence (AI) to better […]

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