Generating Personalized Exercises in an Intelligent Tutoring System

Intelligent tutoring systems (ITS) are computer programs powered by artificial intelligence that can automate the tutoring process. They have the potential to provide low cost and highly scalable one-on-one tutoring to students around the globe in real-time. Their continued improvement is exciting for the future of education, and should be encouraged. Recent years have seen […]

Read More
Multiplexed Source of Photons for Next Generation Quantum Secure Networks

With quantum computers which are just starting to hit the market, today’s encryption methods will soon become obsolete. In order to ensure an unconditionally secure data storage/encryption, communications will have to rely on a technology making use of the laws of quantum mechanics. The present MITACS application proposes to build the prototype of an optical […]

Read More
Community Impact from Rural Sourcing

This study builds upon work to define the decision process firms use in deciding to move their IT Services work to less urban regions such as Atlantic Canada. This Mitacs project seeks to build upon this work and analyze the ancillary benefits of such projects within the community (beyond the direct economic benefits). Policy objectives […]

Read More
SOTI Snap Analytics

Currently, data analytics services are not only expensive, but also often require days of delay for the data analytics report to be generated. The project focuses on making use of a user’s voice query as an input to create a data analytics response by aggregating data from a database. The successful implementation of the project […]

Read More
Federated Learning for Language Models

The existing approach to building Machine Learning models includes gathering all the data from customers in one place and then running the training procedure using it. However, there are no guarantees personal data won’t be leaked by the one training the model. So, the customers face a difficult decision of either allowing companies to gather […]

Read More
Participatory Cities Every One, Every Day: Toronto

This proposal details an approach for evaluating a planned project led by SII called Participatory Cities: a new inclusive, system-based approach to stimulating and supporting dense networks of practical ‘participation culture’ in cities around the world. With proof of concept developed and tested in London, UK, by the Participatory City Foundation, the model will now […]

Read More
Paradocs : Recommandations pour la clientèle des stations de ski en temps réel

Dans un monde de plus en plus connecté, les stations de ski en Amérique du Nord et à travers le monde désirent s’impliquer davantage auprès de leur clientèle pendant qu’elle est sur les pentes où dans leurs infrastructures. Favoriser l’expérience de ski et améliorer les revenus connexes sont deux motivations importantes dans le contexte actuel […]

Read More
Coveo : Algorithmes de recommandation

Ce projet s’inscrit dans la grande famille des projets de systèmes de recommandation, où un algorithme doit recommander aux utilisateurs des produits ou des documents qui seraient intéressants pour eux, basé sur ce que nous connaissons de l’utilisateur et sur sa session de recherche actuelle. Coveo a déjà des modèles de recommandation en place, dans […]

Read More
Barcode Image Enhancement Using Deep Learning

The use of barcodes to store alphanumeric information has spread from supermarkets to department stores, the health industry and even on the back of our drivers’ license. Recent years have also seen demand to increase the density of information encoded in barcodes. A Drivers’ License has its personal data encoded in the barcode on the […]

Read More
Analyses et modèles d’affaire dans le prêt numérique en bibliothèque

Depuis 2012, Bibliopresto.ca chapeaute le développement et l’accès aux ressources numériques en bibliothèques publiques, et notamment la plateforme Pretnumerique.ca. Les données de prêt numérique de cet organisme ne font cependant pas l’objet d’analyses statistiques spécifiquement adaptées à ce secteur et ne permettent pas de questionner la réalité et la pertinence de la reproduction du modèle […]

Read More
High-fidelity, Directable Animation Transfer for Dubbing

The entertainment industry delivers media products around the world to people speaking a large number of distinct languages. To accommodate different languages, the producers typically re-generate the sound stream in different languages in a post-production step, but they leave the same video footage resulting in the desynchronization between the audio and video content, creating an […]

Read More
Assessing Regenerative Energy Technologies for Electric Vehicles

Electric vehicle (EV) is the future of sustainable transportation to phase out the reliance on petroleum fuels. Despite the multibillion-dollar market potential, wide deployment of EV is challenging due to limited energy storage. Regenerative energy generation can be implemented to compensate for the energy consumption in EV to provide the much-needed extra mileage. Apart from […]

Read More