L’entreprise D-BOX oeuvre dans le domaine du divertissement et de la réalité augmentée grâce à ses sièges avec rétroaction haptique qui offrent une expérience sensorielle plus riche, que ce soit pour l’industrie du cinéma ou celle des jeux vidéo. Bien qu’il soit possible d’annoter manuellement la trame haptique pour une scène de film, il est […]

The intern’s primary objective is to conduct extensive market research on the intersection of critical technology and education in Canada. The aim is to identify potential strategic partnerships and areas for further development. The intern will also create documents, papers, and presentations to investigate the use of critical tech in the Canadian education space, raising […]

The goal is to investigate the realistic appearance models for complex reflectance properties, modeling reflectance, masking and inter-reflection at many scales. In the end, comparison and basis-space representation will be leveraged to develop an interactive rendering application for pre-visualization and in-game portrayal of complex materials.

In the proposed research project, linear regression, a machine learning method, will be used to create a system for estimating home prices. To pinpoint important elements that significantly affect home prices, the intern will analyse historical data from the Multiple Listing Service (MLS). They will use this data to train a regression model, which will […]

Consider a question that a policymaker might have: which economic factors have causal effects on the median housing price in a region? Answering this question requires gathering historical observations of house prices and economic factors of interest and performing statistical analysis to asses causal effects. But what if the policymaker does not exactly know which […]

Given the ever growing neural networks being developed and the abundant empirical evidence that model/data scale play an important role in enabling high-quality models of data, inference cost becomes a bottleneck to the deployment of state-of-the-art automated predictors. To address that, this research project aims to develop algorithms that can predict outcomes by combining predictions […]

Ce projet a pour but d’identifier et de cartographier les principales tâches d’un CPA et d’évaluer la manière dont l’intelligence artificielle peut procurer des gains potentiels dans la réalisation de celles-ci. Une dizaine de tâches utilisant des documents non structurés seront recensées, analysées et documentées afin que des tests puissent être effectués sur des corpus […]

Dispension’s core business is the development of intelligent kiosks equipped with peripheral technologies that are designed for distribution of restricted products (ie: alcohol, pharmaceuticals, cannabis, nicotine, etc). Dispension’s technology stack includes a series of vision systems that utilize different types of cameras to perform specific tasks. Among these systems include a thermal camera that takes […]

Le but de ce projet est la création d’un outil permettant d’évaluer automatiquement le niveau de maitrise d’une deuxième langue via l’utilisation de l’intelligence artificielle. L’intégration de l’intelligence artificielle dans un processus d’évaluation permet de réduire les aspects humains de la prise de décision. En effet, le jugement d’une personne peut être affecté par différent […]

Datahoot Technologies Inc applies text-mining technology to perform international trade data analysis, and enables our customers (small and medium B2B enterprises) to gain quick and in-depth insights into their markets so that they can generate actionable sales leads or prospect new vendors. The goal of this project is to develop a text-mining API (application programming […]

AMD graphics cards are extensively used for computer games, and testing their performance involves manually playing various titles on multiple configurations. Automated gameplay can save time and effort during this process. However, using game images as input presents challenges for reinforcement learning (RL) agents, specifically in player navigation and movement. This internship aims to develop […]

The project is to develop an environment recognition system using computer vision and deep learning techniques (i.e., image or video classification of walking environments) and to further develop a functional prototype of an AI-powered glasses. The designed system could achieve high prediction accuracy on real-world visual data and be efficient for onboard real-time inference with […]