Le problème d’entretien hivernal des routes constitue un domaine de recherche crucial, où les chercheurs ont cherché à élaborer des stratégies novatrices pour gérer efficacement les ressources tout en garantissant un service de qualité. Les variations climatiques, les quantités variables de neige et les contraintes logistiques font de ce problème un terrain propice à l’application […]

This research proposal focuses on addressing the prevalent challenges associated with Proton Exchange Membrane Fuel Cells (PEMFCs), specifically targeting the reduction of greenhouse gas emissions. Despite significant advancements in performance and durability, particularly in automotive contexts, the high cost associated with essential materials for optimal functionality remains a formidable barrier. Notably, advancements in cathode gas […]

Using drones to inspect power lines, which can involve travelling in isolated areas, makes this process faster and more secure. Yet, training drone pilots for this task is time-consuming and expensive. In this project, we propose to partner with Connect Atlantic Utility Services Corporation to develop a Virtual Reality training system for drone pilots. This […]

Motion capture is a technology to track human motion in 3D for replication with digital tools, such as mixed and virtual reality, video games, or movies. However, full 3D tracking requires the complex and finicky setup of multiple cameras that are prohibitively expensive to individuals or small studios. This is especially difficult with complex human […]

Leveraging its roots in dance and technology, Credo is building a multimodal motions platform for dance to enhance education, choreography and archival practices; the foundation being motion capture data. There are existing 3D motion capture libraries but they are either one of or many of the following: outdated, not comprehensive, poor quality, non-standard, poorly labelled […]

Ce projet vise à soutenir Readygg dans ses efforts en développant un système de collecte de données fiable et performant adapté aux contraintes du blockchain. Ce système permettra une meilleure compréhension et réponse aux tendances de consommation des joueurs dans l’écosystème Web3. De plus, le développement d’outils pour le suivi et l’analyse des indicateurs clés […]

deviantART is the world’s largest online arts community with a huge number of users and items. They currently recommend art to users only via an algorithmic presentation of “popular” items, and an item-item recommender system presented alongside every individual piece of art. deviantART expects to use recommender systems technology to enhance and leverage the contributions […]

Algorithm auditing refers to the study and evaluation of algorithmic systems to ensure their transparency, fairness, legality and compliance with ethical standards. Our project focuses on the acceptability of practical audits where platforms provide synthetic data about algorithms, instead of the traditional approach with external audits without considering the collaboration of the platform. Technical implications […]

In many applications, Machine Learning (ML) predictions are used to make downstream decisions. Acting on ML predictions however can change the distribution of features that the ML model relies on for predictions. The implication is that such downstream decisions procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is […]

En biologie, tout comme dans le monde des machines mécaniques, la fonction découle de la structure. Dans le domaine biologique, les “machines” sont constituées de protéines. En altérant leur structure, il est possible de leur conférer de nouvelles fonctionnalités. L’entreprise 9Bio combine une expertise de pointe en modélisation IA avec l’ingénierie structurelle biologique pour créer […]

La cybersécurité est devenue une préoccupation majeure pour les entreprises et les organisations en raison de la croissance exponentielle des menaces en sécurité informatique. Internet est un élément critique qui est devenu un réseau universel de communication. Les attaques réseau, y compris les attaques par déni de service distribué (DDoS), sont considérées comme l’une des […]

The healthcare sector generates an enormous amount of sensitive data, ranging from patient medical records to billing information. The mishandling or unauthorized access to such data can lead to significant legal, financial, and ethical consequences. Despite increasing awareness of the importance of data security, healthcare institutions often still employ outdated or inadequate encryption methods, posing […]