One of the main issues with many quantum computing platforms is that not all quantum bits (qubits) can interact directly. This results in an overhead in the number of operations required to run an algorithm and ultimately in longer run times that can become prohibitive. Entangled Networks is currently developing hardware and software solutions to […]

Au Canada, les études explorant la relation entre la vigne et son microbiome sont encore peu nombreuses, surtout sur les cépages hybrides cultivés dans l’Est du Canada. Ces cépages, issus de croisements entre l’espèce Vitis vinifera et des espèces Vitis indigènes à l’Amérique du Nord (V. labrusca, V. riparia), ont une biochimie particulière, qui leur […]

Multi-stream execution is a technique in GPUs that allows multiple operations/kernels from the same program to effectively use GPUs without explicitly stating the affinity of threads to the cores. Several recent optimizations in Machine Learning (ML) algorithms leverage multi-stream execution. While performance modeling of ML applications is well studied under single-stream execution, performance models of […]

Histology studies the microscopic anatomy of biological tissues, which is critical to clinical disease management and fundamental to biological understanding. However, current approaches that rely on bright-field microscopy require extensive issue preparation prior to imaging and may thus take days. Photoacoustic remote sensing, or PARS, can dramatically reduce the histology bio-imaging time from days to […]

Les produits cosmétiques et de santé naturels représentent le segment dont la croissance est la plus rapide au cours des dernières années dans le marché des produits de soin. Ces produits ont des applications variées dont l’efficacité repose sur le choix des ingrédients actifs. La luzerne produite au Québec par le partenaire, propose un ingrédient […]

Operating a fleet of autonomous robots introduces challenges such as reduced safety for humans working around the robots, reliability of intern communication of the robots, coordination behaviour of the robots, etc. At Fourien we have developed autonomous robots which work very well as stand alone units but there is a need of development of a […]

Global warming is a leading threat to humanity. Carbon capture, especially direct air capture (DAC), is the key to its reversal. The bottleneck of the DAC expansion is its high cost vs. the insufficient value of CO2. On the other hand, Atlantic Canada has unmet natural gas demand, especially after the termination of Sable and […]

L’usage excessif des plastiques à l’échelle mondiale engendre de grands défis liés au control de la pollution, particulièrement dans les océans, mais aussi au niveau de l’empreinte carbonique de leur production. Dans le contexte de crise sanitaire actuel due à la COVID-19, les équipements de protection personnel sont nécessaires et leurs utilisation, obligatoire, a augmenté […]

L’étude porte sur les associations de plantes en agriculture urbaine au sein des plantes de la famille des Brassicacées, tels que le chou, le brocoli, la moutarde, la roquette, etc. Certaines plantes en compagnonnage aux cultures de la famille des Brassicacées ont des fonctions intéressantes pouvant l’imiter l’infestation d’insectes ravageurs. Les insectes ravageurs peuvent nuire […]

After it started as a home-based custom uniform manufacturing business over a few decades ago, Key Innovations is now creating exclusive merchandise that businesses use to make their brand tangible, lasting, and memorable. Our mission is to provide innovative and sustainable branded products that support business development and create a strong market awareness. The Operations […]

In distributed computing settings, data privacy is of paramount importance (e.g., mobile or medical devices). Federated Learning (FL) empowered the state-of-the-art deep neural network model to provide AI solutions to clients while keeping the client data private in distributed computing settings. Communication between different devices is one of the main bottlenecks of FL model because […]

This project aims to solve the problem of visual inspection of the aircrafts. The images and/or video will be used in conjunction with an AI/ algorithm to efficiently identify aircraft defects. The drone-based computer vision approach to defect detection will be compared to traditional, manual techniques to assess the potential for increased safety and efficiency […]