Revised Public Project Overview Polymath Global is participating in the MITACS – BSI program to offer valuable internship opportunities in Software Design and Development. These internships aim to bridge the gap between academia and industry, providing students with practical experience and skills in product design and software development. The program will benefit Polymath Global by […]

This project aims to enhance and expand a comprehensive framework for holistic technology integration tailored to Indigenous values and needs. The first year will involve developing a detailed research plan, establishing relationships with key community stakeholders, and securing necessary permissions and ethical approvals. The project will then conduct primary consultations and interviews with community members, […]

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 […]

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 […]

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 […]

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. […]

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 […]

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 […]

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 […]

This BSI project aims to determine the effectiveness of using GenAI tools to provide students with formative feedback as compared to traditional methods of instructor feedback and peer to peer feedback. Proving the effectiveness will allow educators more ways to provide their students with formative learning opportunities.

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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 […]