Machine learning attempts to model high-level abstractions in data using multiple processing layers with complex structures or non-linear transformations. Federated learning is a distributed machine learning approach that allows multiple parties to collaborate on training while preserving user data privacy. However, the data from each party is typically non-independent and identically distributed (Non-IID), which can […]

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 […]

Machine Learning (ML) approaches generally consist of training an algorithm on a given dataset containing data which has to be analyzed or otherwise understood. For an ML application to be successful, careful thought must be given to ensuring that the architecture of the algorithm chosen is fit for the task at hand: some architectures are […]

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 […]

DesignBot propose une solution logicielle dans le but d’amener un support aux concepteurs dans leur travail créatif ! L’idée est d’intégrer les technologies d’intelligence artificielle générative dans le processus de travail des concepteurs. En améliorant la collaboration entre l’humain et la machine, DesignBot permettra d’amener pas à pas les concepteurs à créer des concepts hors […]

The proposed project aims to address ethical challenges associated with AI technologies by researching and promoting intercultural and interdisciplinary collaboration. This intercultural and interdisciplinary collaboration entails drawing insights from people who come from different cultural backgrounds, study different disciplines (engineering, philosophy, sociology, law, etc) and work in different sectors (industry, academia, non-profit, etc). With the […]