The objective of the project is to plan data collection for the design of machine learning models and algorithms capable of characterizing quantum interference between optical and quantum channels, or between quantum channels. We plan to use the NUMANA testbed to deploy the experiments to collect the required data. This will involve generating a quantum […]

This project will design a new AI system to help Ciena’s Blue Planet division automatically understand and solve complex problems in communication networks. Currently, AI tools can only answer simple, fact-based questions. The research intern will develop a more advanced “GraphRAG” system that connects all network data—like equipment status and error logs—into a smart knowledge […]

Ce projet s’inscrit dans la continuité d’un projet de recherche intitulé Protocoles de pluralisation culturelle des savoirs : comparaison des Wikipédias en français et en anglais, financé dans le cadre d’une subvention CRSH Savoir. Le projet CRSH propose une analyse des politiques, règles et recommandations établies dans Wikipédia pour inclure diverses perspectives culturelles dans l’édition […]

This project will investigate the use of automated and connected vehicle technologies as well as smart mobility technologies to improve Workzone Safety for Personnel undertaking road work in an urban or highway setting. In order to determine the most favourable technologies and how to apply them, the project will rely upon the use of resources […]

Quandela est une entreprise pionnière dans le développement d’ordinateurs quantiques photoniques fulstack, intégrant matériel, logiciel et accès cloud [1]. Ses activités couvrent la conception de sources de photons uniques, la fabrication de processeurs photoniques, ainsi que le développement de plateformes logicielles comme Perceval [2] ou MerLin pour la programmation et la simulation quantique. L’un des […]

This project aims to develop an AI-driven system that transforms a single still image into a realistic, controllable animated video. Unlike traditional video production, which requires costly filming or manual animation, our approach leverages advanced diffusion models to automatically generate dynamic motion while preserving the original visual details of both characters and text. A key […]

Our research focuses on the critical intersection of artificial intelligence and cybersecurity operations, specifically examining how AI tools can be effectively integrated into Security Operations Centre (SOC) workflows. As cyber threats become increasingly complex, we investigate the delicate balance between leveraging AI automation and maintaining human expertise in threat detection and response. Using Cognitive Task […]

Explore how adversarial bots can help players to progress in the mastery of the game through RL and player modeling.

Le Centre d’archives régional de Portneuf (CARP) a pour mission de préserver et de faire connaître les archives liées à la région. En 2024, il a franchi une étape importante en se dotant d’une plateforme numérique (appelée AToM) pour mieux gérer, protéger et partager ses collections. Ce nouvel outil a nécessité une adaptation importante pour […]

Átl’ka7tsem/Howe Sound is located just northwest of Vancouver, British Columbia, Canada. Historically the sound has been significantly impacted by human activities. Now it is experiencing ecological resurgence, and there is increasing interest in both greater understanding the sound and applying marine spatial planning (MSP). MSP allocates human activities in marine areas to achieve multiple objectives. […]

This project will combine graduate level research expertise with best-in-class managed detection and response security operations, to develop ‘collaborative intelligence’ oriented tooling, in order to support Security Operations Centre (SOC) personnel in rapidly assessing the threat potential of suspect command lines and similar text objects. From a recent analysis of SOC AI usage, it is […]

The project aims to enhance toxic behavior detection in online multiplayer games through voice chat. While text-based detection models have advanced, voice chat presents unique challenges due to its complexity and resource demands; however, it offers valuable cues like tone and intonation. As such, the project seeks to develop multi-modal models combining voice and text […]