This research will determine what factors are the most significant when it comes to the personalized shopping experience from the perspective of both customers and retailers, and shed light on opportunities and options for North American retailers to innovate within the retail space. We will conduct surveys with both retailers and customers to determine the […]

Notre but est d’améliorer la capacité des compagnies à concevoir et entretenir des jeux vidéo multijoueur en utilisant les théories développées par les écologistes pour comprendre le comportement des animaux (par exemple pour comprendre pourquoi les lions préfèrent chasser en groupe plutôt que seul). Nous analyserons les tactiques de jeu utilisées par les joueurs dans […]

Ultra-reliable and low latency communication is increasingly an important aspect of future wireless communications. Specifically, in the context of mission critical communications for large-scale networks of sensors and actuators in automated and/or remote-control applications, low-latency wireless communication with high level of determinism is a vital element. The key performance indicators for such use case are […]

This project will develop provisional guidelines for publishing texts for and by Indigenous people. Each story, each storyteller, and each nation presents a different case, and there can be no set of rules. The objective is to outline a provisional, adaptable set of principles, questions, and considerations to guide the process of selecting, editing, publishing, […]

Crosslight Software Inc. is a leading provider of technology CAD (TCAD) tools for the design and simulation of semiconductor devices. They are specialized in innovative III-V compound materials which are considered as the next generation materials for power semiconductor devices. Crosslight has on-going activities in developing accurate simulation models for gallium nitride (GaN) material and […]

Ce projet vise à optimiser la rapidité de prise de décision dans les entreprises suite à un meilleur système de collecte et traitement de l’information lors de l’acquisition de données stratégiques via différentes veilles économiques (système de recherche d’informations stratégiques pour les décisions de l’entreprise). Par la suite cela permettra d’adapter plus rapidement la conception […]

This research project will focus on factors increasing viewership and revenue on Boat Rocker Media’s digital assets on YouTube. Combination of datasets from various sources such as YouTube revenue reporting, YouTube data and analytics Application Program Interfaces (API’s), and social media will be used in an explanatory analysis and statistical modeling to get new insights. […]

Since the 19th century, Chinese men and women have migrated to small towns and cities throughout places such as Southeast Asia, Australia, New Zealand and North America in search of better opportunities, bringing with them many traditional cultural practices, values and customs that evolved over time and space. How did early migrants retain cultural heritage […]

This research project will allow us to assess how similar two news articles are to each other. This may be easy for a human to do, but for machines this is actually quite hard. OpenReg will make use of this assessment to determine if a news article is important for their users. The goal is […]

Currently, some public and private organizations have implemented various identification verification solutions to manage identity authentication. The idea of using a third-party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have their benefits as they can only be connected once in a federated identity ecosystem. While […]

The primary objective of the project is to approach the problem of understanding true causality of vehicle accidents and scientifically determining which vehicles and drivers are at highest risk of an accident from a machine learning perspective. Geotab has a number of identified collisions in X, Y and Z planes, and much more. The research […]

Artificial intelligence, especially Machine learning algorithms, plays important roles in building recommendation systems and promotional forecasting systems for retailers. However, training a machine learning model requires the choice of a number of significant features and requires tuning a large set of configurations. Therefore, it takes a long time for humans to find the optimal configuration […]