Développement et validation des méthodes de contrôle non-destructif de pièces métalliques fabriquées par fusion laser sur lit de poudre

Le but de cette recherche est d’établir un protocole de contrôle pour détecter efficacement les défauts présents dans des pièces métalliques produites par une méthode appelée “fabrication additive”. Le contrôle de qualité des pièces produites est une étape cruciale avant leurs mises en service. Différentes techniques de contrôle sont disponibles ayant chacune des avantages et […]

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Exploration of RL-based agents in the context of space robotic systems

This research will explore machine learning methods in order to devise a control scheme for robotic manipulators(Candarm3) in the context of space exploration. The objective is to develop an early prototype for an autonomous learning agent which can carry out standard control tasks without any operator supervision. The primary machine learning methods that will be […]

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The development of predictive capabilities in terms of pH and solubility for complex mixtures of organic acids and organic acid salts

This project will require a combination of theoretical and empirical modeling based on extensive experimentation to develop a predictable solubility model in organic acids and salts mixture systems. The successful completion of the project will allow the company to predict capability of the complex mixtures during products development. It can be used by formulators & […]

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Apprentissage profond informé par la physique des ultrasons

Dans le domaine du contrôle non destructif, l’intelligence artificielle peut être utilisée pour inspecter de grandes quantités de données ultrasonores (ce sont des échographies de matériaux métalliques, composites ou autres), pour y détecter des défauts de fabrication ou d’usure (par exemple des trous, de la corrosion, etc.). L’application de techniques éprouvées d’IA donne des résultats […]

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Enhanced machine learning for hematology analytics with near-field microscopy

Alentic Microscience Inc has developed a highly portable device that can analyse blood in a few minutes, opening the possibility for much improved healthcare for a lower coast. The system uses AI a proprietary sensor system that provides data for an AI based analysis technique. In this project we will evaluate the impact of recent […]

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Ai-based musical intervention to improve emotion through a personalized speaker

Mental disorders have a significant influence on the daily activities of Canadians. Musical intervention can provide a non-invasive treatment through changing emotional state and creating positive mood. The main objective of this project is to provide a long-term solution for musical intervention through an optimized machine learning framework for an intelligent real-time emotion recognition and […]

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Photovoltaic window coatings

This project aims to conduct research towards the development and implementation of photovoltaic energy generating windows. Through the use of window coatings, the windows of an everyday home will be converted to a source of generating energy to power the home. This research will take us a step closer to our goals of net-zero by […]

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