Cancers are heterogeneous disease that hijack many of the body’s normal biological processes. Additionally, tens of thousands of genes are involved in each person’s normal biology, while only a fraction of those are repurposed by cancers to drive disease. At an individual level, utilizing entire transcriptomes is rare, as there is too much information for […]

La réponse visuelle aux questions (Visual Question Answering VQA [1]) a été introduite pour combler le fossé entre le traitement du langage naturel et les applications de compréhension des images dans l’espace commun de la vision et du langage. La plupart des benchmarks VQA calculent une représentation de la question en utilisant des techniques d’intégration […]

The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more […]

L’objectif de ce stage est de développer une méthode et un prototype pour le repérage automatique des requis dans des appels d’offre par apprentissage automatique avec un réseau de neurones. Les données proviendront d’une banque d’appels d’offres du gouvernement fédéral. Dans un premier temps, le travail sera réalisé avec des appels d’offres en anglais, mais […]

In the next few months, we seek to build our projects that have been put on the back-burner‚ and ensure that they move forth to offset some reduction in client work. These projects will set us up for improved business structures and success in 2021. • Identify needs within Lux team members on how research […]

Accelerator Mass Spectrometry is a highly sensitive technique for measuring the concentration of certain long-lived isotopes, such as carbon-14. Recently, the use of an ion-gas reaction cell before the accelerator has been shown to enhance this sensitivity, particularly for smaller accelerators, and to extend the application of this technique to more isotopes. Isobarex Corporation has […]

Quantum Computing has the potential to tackle problems, unsolvable with the most powerful current high-performance machines. It is expected that quantum technology will enable life-changing discovery in the pharmaceutical industry with new drugs, finance for risk minimization, discovering new materials, clean energy, and more. Today, many different architectural solutions exist for quantum computing – photonic, […]

Argillaceous shales comprise a large proportion of rocks in most sedimentary basins. They serve as caprocks in the projects of petroleum industry. Maintaining borehole and caprock integrity is to prevent disasters such as borehole collapse and leakage through caprocks. Thermal-hydro-mechanical properties of argillaceous shales have decisive controls on the integrity analysis. As a kind of […]

The project consists of developing new methodologies to augment the investment management process through AI & ML. To this purpose, the project will be divided in two subprojects : 1) Optimization of error detection and error correction in the data cleansing process. In every data science project, data scientists and analysts spend a considerable amount […]

Since yeast probiotics and their cell wall components (CWC) are being used to treat enteric inflammatory diseases in different species including humans, they may be useful for preventing Johne’s disease, a chronic inflammatory bowel disease of ruminants caused by Mycobacterium avium spp. paratuberculosis (MAP). Considerable variation in the efficacy of different yeast probiotics and their […]

In the field of power electronics, it is vitally important to fabricate transistors that can work under high-voltage regimes, that are more energy-efficient. Our sponsor Crosslight has a customer, GaNPower, which is a Canadian company that designs and makes GaN transistors for this purpose. However, the transistors break down more easily when used on circuit […]

La compréhension holistique et régulation complexe de l’acte de manger, catalysé par le contexte du confinement pandémique, impose une approche transdisciplinaire. Pour répondre à ce défis, l’équipe GR2TCA-Loricorps porteuse de la demande, propose un projet partenarial intersectoriel ePROS-A en développant un programme efficace d’eÉducation à la santé s’appuyant sur des outils numériques. Ce projet nécessite […]