In this project, we propose a modular continual learning approach to face the problem of catastrophic forgetting and transfer in learning from evolving task distributions. Concretely, we propose a model that learns how to select most relevant modules based on a local decision rule for a given task to form a deep learning model for […]

One of the major challenges today is reducing greenhouse gas emissions (GHG) into the atmosphere and the increasing demand in the hydrogen energy sector. Currently, Steam Methane Reforming (SMR) is the industry standard in producing H2. Unfortunately, the H2 produced here is classified as “grey hydrogen” as the reaction between methane and water also produces […]

Cognitive AI software using a metallurgy ontology can use semantic network descriptions of mineral deposits and mines to evaluate a mineral deposit and determine which deposit, anywhere in the world, most closely matches its metallurgical characteristics. After finding a suitable match, the user would be able to read the metallurgical report(s) of the similar deposit(s) […]

Chaque jour, des decisions doivent etre prises quant a la quantite d’hydroelectricite produite au Quebec. Ces decisions reposent sur la prevision des apports en eau dans les bassins versants produite a l’aide de modeles hydrologiques. Ces modeles, qui transforment les precipitations en debits, prennent en compte plusieurs facteurs, dont notamment la presence ou l’absence de […]

The representation of the Black, Indigenous, and People of Colour (BIPOC) community decreases at higher levels of education/academia. This phenomenon is proverbially referred to as the ‘leaky pipeline’ and has been studied extensively with various populations in multiple disciplines. However, despite scholars identifying some key factors that contribute to the persistence of the BIPOC community […]

Optimum Canada, une entreprise québécoise qui développe et fabrique des outils de coupe, s’associe avec le Centre technologique en aérospatiale (CTA), le Laboratoire des Revêtements Fonctionnels et Ingénierie de Surfaces (LaRFIS) à Polytechnique Montréal et le Laboratoire d’Optimisation des Procédés de Fabrication Avancés (LOPFA) à l’École de technologie supérieure (ÉTS) pour développer et industrialiser de […]

Lipid nanoparticles (LNPs) are a form of new dosage form for delivering drugs, including anticancer agents and vaccines. A highly controlled production system is needed to produce high quality LNPs, and the existing production systems suffer from a few drawbacks, such as lack of variable control and automated functions. Dionamix will employ their technologies and […]

Researchers are often tasked with finding related works in their respective field, including journal entries and images that represent the work contributed, which allows researchers to summarize and expand previous contributions. Biological researchers often convey their contributions through visual illustrations, also considered gene model maps. These gene model maps are used to represent how contributions […]

Nowadays, mental health issues have become a major public health challenge. Moodie app allows patients to track their emotions, moods, routines, sleep, diet, physical activity, and associated context via journal logs. This provides the therapist with a rich pool of data for accurate diagnosis and assists with the treatment. This project aims to (1) Develop […]

Although it is clear that great opportunities exist for Aboriginal businesses, there is a distinct need for formalized research findings and knowledge dissemination about Aboriginal organizations and the role that they can play in creating sustainable economies. In an attempt to address this research gap research institutions and analysts are building a body of literature […]

This project explores the commodification and marketing of traditional Prince Edward Island musical culture over the past forty years in light of the experiences and understandings of individuals who have been prominent players in the traditional music sector over the past four decades. This process will be explored by investigating the relationships that exist between […]

Ontology induction from unstructured text is a long standing goal of Natural Language Processing (NLP). An ontology can serve a number of tasks, such as question answering, Information Retrieval to name a few. In fact, practice communities are often relying on an ontology in their daily decision making process. This is the case of IATA, […]