An abundance of choice presents users of many online and mobile platforms. Sorting through this to find desirable content is a challenge for users. To assist with this challenge and increase user interaction it is common to implement a recommendation system that can predict what kind of content a user will or will not be […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

Le projet vise à réduire le temps consacré à administrer l’information produite lors de réunions en utilisant l’intelligence artificielle pour générer des artéfacts de réunions pertinents pour des utilisateurs. Des algorithmes intelligents permettront la production automatique de transcriptions et de résumés des réunions en plus de supporter des recherches thématiques dans l’enregistrement audio de réunion […]

in this project, we are exploring the combination of quantum computing with machine learning to ensure a quantum-enhanced machine learning. We are focusing on the improvement of the accuracy and reliability of machine learning algorithms. While quantum improvements in supervised, unsupervised learning, and reinforcement learning have been reported, distributed models of machine learning such as […]

La qualité de l’air est un enjeu environnemental majeur qui affecte la santé de milliers de citoyens – un enjeu particulièrement marqué dans la Ville de Québec. La mise en place du Groupe de travail sur les contaminants atmosphériques (GTCA) par le Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune […]

Myringotomy is a surgical procedure in which a small incision is made in the eardrum and a ventilation tube is placed in it to treat ear infections. The procedure is difficult to teach because it is one of the first operations that surgical residents in Otolaryngology learn. Moreover, the traditional apprenticeship training approach only allows […]

Our research expands the paradigm of 1:1 AR collaboration systems to multi-party AR collaboration systems, enabling more flexible control over the positioning of the RU. We investigate multi-party conversations involving two or more participants and one VH replacing the RU. Specifically, we vary the distance between the two LUs and the VH to examine RU’s […]

The aim of this research project is to explore the use of Large Language Models (LLMs) in quantum technologies for computer network system scenarios. The hypothesis is that we can easily comprehend and utilize quantum algorithms to propose solutions for networks by leveraging Large Language Models technologies in specific tasks. Moreover, another interesting question that […]

Les compagnies de cirque au Canada innovent en intégrant des technologies numériques comme la capture de mouvement dans leurs spectacles, créant ainsi des expériences virtuelles et hybrides. Toutefois, les systèmes de capture actuels avec marqueurs ne sont pas adaptés aux performances acrobatiques. Le projet vise donc à tester différents modèles d’estimation de mouvement pour trouver […]

Metafor is developing a new class of IT system management solution to monitor computer and application activities, and alert when anomalous behavior occurs. Current commercial tools for anomaly detection use simple statistical rules and thresholds to detect anomalies. These methods are failing for today’s dynamic cloud environment where change is constant. As a result, IT […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW