Le guide de mise en marché de la musique québécoise (Guide MQF) consiste en une vaste étude de marché visant à permettre aux responsables de la commercialisation de musique enregistrée et de spectacles musicaux en français de bien cerner les habitudes de consommation de musique des Québécois et Québécoises dans le but de maximiser leur […]

Quantum Machine Learning is an emerging field of science, exploring the role that quantum computers can play when combined with machine learning models and methods. Within this field, kernel methods have quickly become one of the most promising and exciting techniques to show benefits in performance, even when using the current primitive quantum computers that […]

In this project, the intern will work closely with the staff of Xanadu, a quantum computing company, to develop educational materials intended for an audience who are comfortable with classical computer programming, but have no prior knowledge or experience with quantum physics or quantum computers. By using interactive, web-based instructional materials, and animated graphics, the […]

Curate Mobile operates a demand site platform (DSP), which is an advertising platform responsible for bidding in real time ad placements from various publishers. This process is a blind auction, happening over 50,000 times a second, and during this bidding process we have less then 100ms to determine which of our clients should bid for […]

The intern will help guide technology start up MateMachine with regards to their content strategy. This strategy will focus on the benefits of MateMachine to marginalized folks including LGTBQ+ and disabled persons. This technology will provide new ways for individuals to connect and share their feelings with one another.

There is an increasing amount of potentially distracting information being made available to drivers. However, applications (e.g., for navigation, work, entertainment, etc.) need to be aware of driver workload so that they don’t create unsafe distraction. This work is important because distracted driving is a major risk factor for road accidents and the threat of […]

La planification et l’implantation des interventions auprès d’un apprenant (enfants, jeune et adulte) ayant des limitations cognitives s’articule autour d’un processus d’évaluation qui permet de déterminer son profil . Divers outils de collecte de données (outils d’éva luation) dont des instruments de mesure, des outils d’observation, des inventaires, des questionnaires et des tests (normatifs ou […]

LockDocs is developing an innovative platform for the creation and sharing of a universal customer identity with financial services and private equity investment firms. This project will research and analyze the data residency and privacy requirements for such a platform, and will begin the identification of technology that can ensure such requirements are met and […]

Predictive modeling is a statistical data mining approach that builds a prediction function from the observed data. The function is then used to estimate a value of a dependent variable for new data. The objective of the project is to develop predictive models by machine learning approach and data mining techniques from the large volum […]

L’entreprise Fastercom se spécialise dans le développement d’algorithmes et de logiciels permettant de résoudre différentes formes de problèmes liés aux transports. L’objectif de ce projet est de développer des techniques d’apprentissage automatique adaptées au problème de repositionnement dynamique de véhicules. Il s’agit par exemple du repositionnement d’ambulances pour couvrir adéquatement une zone pour les urgences, […]

This research project supports the development of cycling planning tools within an online transportation planning platform called the Transportation GeoXchange (TGX). Research focusses on the development and integration of Level of Traffic Stress (LTS) network analysis in case studies using the TGX. LTS networks are routable graphs with impedance functions that characterize the subjective level […]

Conversational artificial intelligence (AI) chatbots, also known as Virtual Assistants (VAs), combine the power of machine learning (ML) and natural language processing (NLP) to understand the intent of a user’s utterance, and to formulate a useful, human-like response. Operating a Virtual Assistant brings many complex challenges; this project strives to address these challenges through undertaking […]