Improved quality control of blood products using high throughput mass spectrometry coupled to machine learning approaches.

We will assess the quality and suitability of blood and blood-derived products using a fast and economical approach that combines measurements of molecules in the blood product identified by their weight and computational approaches to make sense of all the data generated. Normal blood products have thousands of small molecules in common. By monitoring a […]

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Automated optimization of robotic tasks and transitions using graph-based approaches

In machining applications, the robot can rotate about the tool axis without affecting machining results. This additional freedom is beneficial in the sense that it can be used to avoid robot singularities, joint limits, collisions, etc. In this project, we will investigate methods of managing this additional degree of freedom automatically. Further, between operations, the […]

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Mastering Multi-modal Decision-making with World-Models

The quest for building an artificial intelligence (A.I.) that is general and able to solve multiple tasks, as humans do, has experienced a growing interest in the last few years. Current A.I. systems can communicate with humans and provide sensible answers and ideas in the form of text. However, if we expect A.I. systems to […]

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Exploring co-location and social presence in augmented reality

Creative research to investigate what types of Augmented Reality experiences cause users to feel co-presence. A set of prototypes will be created that explore different ways that users can experience presence in virtual worlds at the same time as other users. A publicly accessible artwork in Victoria, BC, will be created based on learnings from […]

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Enhancing Fine-Tuning Techniques of Large Language Models (LLMs) in the Insurance Industry

The landscape of the insurance industry has undergone rapid transformation in recent decades. A driving force behind this transformation is the exponential growth of data volumes, necessitating effective processing to unlock their full potential. This surge has led to the development of advanced processing technologies, much like how AI is harnessed to transform the insurance […]

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Modèles pour la prévision de la durée d’une police d’assurance

Dans un marché très compétitif comme celui de l’assurance, estimer la durée de l’association potentielle entre un nouveau client et la compagnie est un enjeu majeur. Ceci permet à l’entreprise de cibler de futurs clients potentiels qui seront plus susceptibles d’augmenter sa rentabilité en répartissant les coûts dus à l’émission du contrat sur une plus […]

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Enhanced Training of Machine Operations and Maintenance using VR/AR Technologies

Virtual Reality (VR) and Augmented Reality (AR) technologies are proposed to improve existing training methods of machine operations and maintenance. It can reduce the need of the physical equipment to get hands on experience. Virtual models of machines are built to perform all the tasks as required in the real life such as troubleshoot different […]

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An automated system for personalized nutrition via 3D food printing

This project presents an innovative approach to personalized nutrition using 3D food printing technology. It comprises two key components. Firstly, a decision-support system is designed to evaluate the feasibility of turning a 3D food design into a tangible, edible product. This system helps ensure that the food is not only nutritious but also practical to […]

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Recherche de l’influence des paramètres de fabrication sur la performance lors du cyclage thermique des barres d’alternateurs hydrauliques

La durée de vie des équipements haute tension, comme les alternateurs de puissance, est généralement limitée par celle de son système d’isolation. Le revêtement isolant utilisé pour les barres en cuivre représente l’élément de ces machines dont la résistance thermique et mécanique est la plus faible. En plus, les matériaux impliqués dans la conception de […]

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Estimation des précipitations maximales probables à partir de précipitations observées et simulées par un modèle de climat

Les ingénieurs utilisent les précipitations maximales probables (PMP) pour concevoir des infrastructures résistantes aux aléas hydrométéorologiques. La PMP est définie par l’Organisation Mondiale Météorologique (OMM) comme la quantité maximale d’eau pouvant s’accumuler en une période donnée dans une région, indépendamment des tendances climatiques à long terme. Une mauvaise estimation de la PMP peut entraîner des […]

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