This project aims to evaluate the effect of mowing on the insect community living in meadow plant stems. Mowing is a necessary practice in meadow restoration in cities due to the need to control invasive plant species. However, past studies have shown that mowing can also contribute to increased mortality rates in a wide variety […]

The use of virtual reality (VR) and realistic real-time graphics has become a critical component in various industries, including aviation. However, the benefits and necessity of full-motion simulators in training remain unclear, especially when considering the fundamental differences between tasks such as flying and driving. This research aims to address the knowledge gap in understanding […]

With the recent emergence of the Metaverse, we observe an exponential omnipresence of 3D content in all technological fields, generating ever-large data sets on multiple different devices and a multiplication of user needs. Providing remote computing power, especially 3D rendering, represents a major technological challenge for many fields. However, real-time experiences and collaboration – which […]

Several approaches have been developed to reduce GHG emissions, and a portfolio of technologies will likely be needed (IPCC, 2018). We propose to investigate a novel technology that may play a role in Canada’s economy decarbonization: on-site battery-grade lithium refining developed by Mangrove Lithium. However, the environmental impacts are still not clearly reported, which may […]

Nanoacademic Technologies Inc., a scientific software development company based in Montréal, has recently developed and commercialized QTCAD®, a computer-aided design tool enabling to predict quantum hardware performance before prototyping and manufacturing phases, thus enabling to streamline the design workflow and minimize trial and error. While the tool currently focuses on spin qubits in semiconductors, extensions […]

L’imagerie THz multispectrale est une technologie prometteuse qui peut révolutionner le contrôle de la qualité dans des secteurs tels que l’aérospatiale et l’alimentation. Cette technique d’imagerie utilise le rayonnement térahertz pour créer des images détaillées d’objets, qui peuvent être utilisées pour détecter des défauts cachés et des contaminants qui ne sont pas visibles à l’œil […]

Les roues de turbines hydrauliques au nombre de 350 dans le parc de production d’Hydro-Québec fournissent la quasi-totalité de la puissance électrique disponible au Québec. Elles sont donc des composantes stratégiques. l Conçues pour une vie utile de 70 ans, elles dépassent rarement le cap des 15 ans sans subir à répétition des réparations suite […]

This research aims to create a platform that can predict the impacts of cyberattacks on various financial assets, such as bonds, stocks, and a company’s credit risk. The focus is on the impacts of cyberattacks on the prices of financial assets listed on the Toronto Stock Exchange (TSE). Still, the prediction models and tools developed […]

In this project, we focus on a composite wearable system that combines a kirigami pattern with fabrics with the goal of realizing a wearable garment that can morph and conform to human body parts. Preliminary results have shown challenges on the fronts of manufacturing and attainable performance, i.e. the integration of the textiles and the […]

An important component of modern video games is the non-player character (NPC), moving entities in-game that are not controlled by a human, which may cooperate with, oppose, or otherwise interact with the player. For an NPC to interact with the game word it must often perform complex tasks that are difficult to program explicitly. Research […]

The rapid evolution of video resolution has significantly increased the video bitrate requirement, making data transfer a challenging task for data-intensive applications like video conferencing, cloud gaming and game streaming. With the rise of machine learning, studies have shown the potential of embedding conventional video compression algorithms with AI-based methods to enhance their performance. This […]

Modern compilers have increasingly large number of complex optimizations to meet the prevalent demand of using Machine Learning (ML) and Artificial Intelligence (AI) in gaming and other applications. Optimization passes are program and architecture depend. Therefore, selecting the best optimizations in the most optimal ordering is a difficult task. While leveraging ML methods in compiler […]