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 […]

During the internship, the selected candidate will focus on developing edge computing solutions that can recognize and alert the relevant personnel in real-time in case of potential security threats (e.g. theft, robbery) and safety issues (e.g. employee accidental falls). This would help retailers to prevent or respond quickly to incidents, reducing losses and improving safety […]

This research project, backed by Unity Health Toronto and the Centre for Global Health Research (CGHR), aims to explore the use of machine learning in predicting causes of death using verbal autopsy data from low-to-middle-income countries. Verbal autopsy is a cost-effective and efficient method for documenting deaths in regions with limited resources. By employing advanced […]

Robotic manipulation involving contact-rich tasks continues to be a challenging, yet critically important, research problem with many potential applications, including domestic assistance, automated agriculture, and advanced manufacturing. Many of these tasks involve both unstructured environments and complicated dexterous manipulation. Existing approaches that rely on purely visual sensors and predefined models are brittle and prone to […]