Arctic Research Foundation– Polar Data Analyst Project

The Arctic Research Foundation (ARF) is a private, non-profit organization creating a new kind of scientific infrastructure for the Canadian Arctic, through its operation of efficient, cutting-edge research vessels and self-powered mobile labs. This phase will concentrate on extending and improving the functionality of the platform, and will include developing processes to mint DOIs and […]

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Forecasting Vehicle Maintenance Needs and Breakdowns using Predictive Maintenance

Improving road safety has a direct impact on the lives of drivers as well as the costs incurred by companies operating commercial vehicles. One important aspect of road safety is timely and effective vehicle maintenance. By forecasting vehicle maintenance needs and predicting breakdowns before they occur, valuable insights can be provided to drivers and fleet […]

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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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Generative 3D Modelling for Game Asset Creation using Deep Learning Techniques

The 3D entertainment industry has expanded quickly in recent years, largely driven by animated content, streaming services, video game development, AR/VR/XR. The new trend enabled by the ubiquitous graphics processing power is that users are becoming creators. Surprisingly, the fundamentals of 3D creation have not changed in 45 years. This puts the creation of 3D […]

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NEGF based Cryogenic MOSFET simulation including inelastic scattering

The project aims to develop a state-of-the-art numerical simulator to compute transistor’s physical behaviors at deep cryogenic temperatures. First of its kind, the simulator will incorporate physical effects critical for transistor’s operations at cryogenic temperature such as inelastic scattering, while maintaining computational efficiency and robustness. The successful outcome will provide the research community a widely […]

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Development of a low-cost antireflective nano-structure manufacturing approach for large-scale glass applications to increase solar panel efficiency

The eye of moths and other natural bio-surfaces feature nanotextures that eliminate virtually all reflection of light. Scientists and product engineers are just beginning to tap into this fundamentally higher performing anti-reflection approach compared to thin films coatings currently used in all commercial products. These anti-reflective protective glass increases energy production for solar panels and […]

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Plateforme d’analyse des données pour le suivie des performances de stratégies d’investissements

Le projet proposé vise à produire un outil d’analyse et d’aide à l’investissement basé sur des données de performances de marchés, d’indicateurs financiers ainsi que des données relatives aux caractéristiques des compagnies publiques. Le stagiaire devra traiter les données pour en extraire des informations pertinentes visant à expliquer le comportement de stratégies d’investissement mis en […]

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Towards making graphics accessible to blind people

There has been a lot of effort in making printed media accessible to low vision or blind individuals. Braille has been extensively utilized to make text accessible to the blind. Software that automatically converts text to speech has also been employed for this. However, the existing solutions are not adequate for conveying graphical information to […]

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Item Identification for Robotic Pick and Place Applications

This research project aims to develop a robot pick and place model that can be used in Kindred AI’s robotic arms to improve efficiency and reduce production costs. The intern will work closely with the partner organization’s experts in computer vision and MLOp to design and build new models, modify existing ones, and experiment with […]

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Supporting Virica’s Inorganic Growth Objectives

“Supporting Virica’s Inorganic Growth Objectives” is primarily a strategy project which will lead to actionable insights to promote Virica’s goal of expanding our VSE library through inorganic methods. Initially, the project will entail research into the current viral sensitizer space, with the goal being to identify Virica’s competitors and other companies that hold IP on […]

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