Hydro-Québec is a public utility that generates and distributes electricity. Despite selling most of its electricity in Québec, its most lucrative sales are in the neighboring markets. To ensure the best possible quality of service, the transmission system must remain stable, but to maximize profits, the company also wants to increase its transmission capacity to […]

ClosedLoop.ai is an AI-based predictive analytics platform that goes beyond traditional claims-based risk scores to use all patient-related healthcare data to provide both clinicians and care managers with a full breadth of timely, transparent and accurate predictions of health outcomes. ClosedLoop.ai helps value-based providers confidently answer a variety of health-care questions like, which patients are […]

The company Lexum is an undisputed leader in the development of information retrieval tools for the law – statutes, regulations and decisions of courts and tribunals. The project is to improve a new tool offer by the company. The tool is used to retrieve a list of legal subjects from a factual description. With that […]

The task of sentence simplification can present itself in multiple forms. It could consist in correcting the punctuation of a sentence like so: Avant : J’ai acheté un bateau je l’aime beaucoup. Après : J’ai acheté un bateau. Je l’aime beaucoup. However, a sentence can be both long and written correctly. In this case, it […]

Ce projet vise à répondre aux besoins des industriels canadiens aérospatiaux d’aujourd’hui, spécialisés dans la fabrication de composantes en matériaux composites. Ces besoins ont été définis avec plusieurs PME et donneurs d’ordres, dont Bombardier Aérostructures et Services d’Ingénierie, Hutchinson Aéronautique et Industrie Canada, SphèreCo, Texonic, Lubricor, Génik et PCM Innovation. Ce projet se concentrera sur […]

Load forecasting is an essential activity for a company like Hydro-Québec. It is necessary for objectives as varied as the management of production or the management and maintenance of the electricity network. Any significant forecasting error can result in reliability issues, loss of opportunity, or additional costs to the business. On the other hand, a […]

The goal of the project is to implement real-time state of the art object recognition models on wearable devices. These devices aim to help people living with a visual disability by providing a description of their outdoor environment and offer navigation guidance. This would improve the experience of the users by allowing them to perform […]

Le rétablissement de la forêt boréale sur les sites miniers après leur fermeture est indispensable pour que les services associés à cet écosystème soient rétablis (puit de carbone, chasse, industrie sylvicole, etc.). Les essences forestières font face à des contraintes d’établissement et de développement sur un substrat rocheux (stériles miniers) sans dépôt de matière organique. […]

Le commerce électronique est de plus en plus prisé par les consommateurs québécois, mais une majorité d’entreprises accusent un retard technologique pour répondre adéquatement à cette demande croissante. La multiplication de la livraison de colis à travers le Québec engendre des défis logistiques tant pour les entreprises, les consommateurs que les villes et les entreprises […]

This project consists in implementing a numerical tool that will be able to evaluate the viscoelastic behavior of textile composites. The first step will be devoted to adapt the numerical tools to adapt them to industrial requirements and preferences. Then, the tool will be validated with the help of the operational knowledge of the industrial […]

L’objectif principal de ce projet est d’améliorer les connaissances sur le devenir du phosphore (P) et les facteurs interférents et d’utiliser ses connaissances pour développer un modèle mathématique représentant le devenir du P et du calcium (Ca) alimentaires chez la truie afin d’optimiser leur utilisation, de mieux définir les priorités de recherche et d’établir des […]

Magnetic Resonance Imaging (MRI) is the non-invasive method of choice for diagnosing and studying neurodegenerative diseases such as multiple sclerosis (MS). However, conventional MRI that is currently used in clinics cannot provide a reliable measure of neuronal health. More specifically, it cannot distinguish healthy from diseased myelin, a key component of neuronal tissue that is […]