The 3D entertainment industry has expanded quickly in recent years, largely driven by animated content, streaming services, video game development, AR/VR/XR. The new trend enabled by the ubiquitous graphics processing power is that users are becoming creators. Surprisingly, the fundamentals of 3D creation have not changed in 45 years. This puts the creation of 3D […]

More than half of Canadian households have companion animals such as dogs or cats. However, cancer has become the leading cause of death in dogs. Currently, available treatments have limitations and compromise the quality of life of dogs. Dragonfly Research Inc (Adored Beast Apothecary) wishes to develop unique natural health products (NHP) to prevent and […]

The project aims to develop a state-of-the-art numerical simulator to compute transistor’s physical behaviors at deep cryogenic temperatures. First of its kind, the simulator will incorporate physical effects critical for transistor’s operations at cryogenic temperature such as inelastic scattering, while maintaining computational efficiency and robustness. The successful outcome will provide the research community a widely […]

This project aims to conduct research towards the development and implementation of photovoltaic energy generating windows. Through the use of window coatings, the windows of an everyday home will be converted to a source of generating energy to power the home. This research will take us a step closer to our goals of net-zero by […]

The eye of moths and other natural bio-surfaces feature nanotextures that eliminate virtually all reflection of light. Scientists and product engineers are just beginning to tap into this fundamentally higher performing anti-reflection approach compared to thin films coatings currently used in all commercial products. These anti-reflective protective glass increases energy production for solar panels and […]

Le projet proposé vise à produire un outil d’analyse et d’aide à l’investissement basé sur des données de performances de marchés, d’indicateurs financiers ainsi que des données relatives aux caractéristiques des compagnies publiques. Le stagiaire devra traiter les données pour en extraire des informations pertinentes visant à expliquer le comportement de stratégies d’investissement mis en […]

La mesure de l’incertitude dans les prédictions est considérée clé pour prendre des décisions informées à partir des données. Ceci améliore également la transparence et la confiance dans les prédictions d’un modèle. Ceci peut également influencer le design expérimental et la balance entre l’exploitation d’une solution et le besoin d’exploration et de collecte de données […]

The demand for eCommerce and online orders has risen rapidly in recent years, this drives the need for highly efficient and automated item sortation systems. Kindred AI is a technology company with the objective to bring artificial intelligence and robotic technologies into the workforce of eCommerce, parcel and order fulfillment. As a part of the […]

There has been a lot of effort in making printed media accessible to low vision or blind individuals. Braille has been extensively utilized to make text accessible to the blind. Software that automatically converts text to speech has also been employed for this. However, the existing solutions are not adequate for conveying graphical information to […]

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data from over 2 million connected vehicles we have an opportunity to make our customers safer, as well as our communities and cities. In an effort to reduce accidents, we need to understand both the driving behavioural patterns that are […]

This research project aims to develop a robot pick and place model that can be used in Kindred AI’s robotic arms to improve efficiency and reduce production costs. The intern will work closely with the partner organization’s experts in computer vision and MLOp to design and build new models, modify existing ones, and experiment with […]

The proposed research aims at learning better representations for multivariate time series (MTS) data, which can be applied to various important real-life applications such as weather, traffic, and electricity forecasting. Better forecasting accuracies for these tasks could help with efficient risk aversion and decision making, and save costs for decision makers. The proposed research will […]