At any given time, a casino has to decide which table games to present to its customers and what betting limits to place on those tables. Understanding that a table games is a service and that the table limit is pricing, this is a classic service pricing problem. However, the number of tables and the […]

Spandrel Interactive seeks to build scalable web portals to aid in user onboarding for their VR/XR solutions. The proposed solution will allow clients to change device and scenario settings, manage user profiles and organize projects outside of the VR/XR software. The goal is to create a positive user experience and ease the pains of user […]

Computer Algebra Systems (CAS), with their unique ability to analyze and solve mathematical problems, are gathering new communities of users, who challenge those software systems with more and more complex tasks. It is necessary, therefore, that the core engines of CAS to implement stateof- the-art algorithms. This proposal capitalizes on the research conducted by academic […]

Dans un contexte de changements climatiques et de transition énergétique, il est primordial de pouvoir développer des solutions technologiques qui vont permettre de faire face aux défits à venir. C’est dans ce contexte qu’il nous est venu l’idée de développer une solution 360° qui va non seulement prendre en compte la demande énergétique du clients […]

This research tackles the problem of correcting errors produced by automatic speech recognition systems when transcribing calls by customers to call centers. These transcripts are increasingly analyzed using automated natural language processing tools, however the quality of this analysis is highly dependent on the quality of the transcription. An automatic speech recognition (ASR) system is […]

Generative design to support complete community quantitative and qualitative analysis brings together growing computational practices in generative design with the urban design challenge of planning and building transit oriented complete communities using urban data analysis. This grant explores the importance of qualitative factors such as social cohesion in complete community design and the opportunity to […]

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 […]