Numerous barriers exist to participating in sports, and a study by the Canadian Fitness and Lifestyle Research Institute has shown that 12% of respondents cited not having anyone to participate with as an obstacle. (Canadian Fitness and Lifestyle Research Institute, 2013). With this project, we aim to leverage algorithms and artificial intelligence (AI) to better […]

ASETS-CA is an upcoming startup with a product that is called ASETS Integrated Design Suite (IDS) a cloud-based 3D facility modelling tool. This tool has a front- end and backend which needs to be tested rigorously before it goes out to the customer with different variation as per their needs. As per industry standards all […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

This project aims to enhance Aview International’s platform by adding advanced real-time translation, live streaming support, and real-time dubbing capabilities. These new features will allow content creators to broadcast their content live in multiple languages simultaneously, breaking down language barriers and making their content accessible to a global audience. This will significantly expand Aview International’s […]

Self-supervised representation learning (SSRL) has advanced considerably by exploiting the transformation invariance assumption under artificially designed data augmentations. While augmentation-based SSRL algorithms push the boundaries of performance in computer vision and natural language processing, they are often not directly applicable to other data modalities, and can conflict with application specific data augmentation constraints. This project […]

Our research project focuses on monitoring crops using satellite images. To address the problem, we leverage a fast-growing field of graph signal processing (GSP), which expands upon traditional signal processing techniques such as Fourier transform and wavelets to accommodate the graph domain. Specifically, we propose to unroll a designed graph-based algorithm into an interpretable feed-forward […]

Our project aims to improve how AI models learn from human feedback. Current methods assume human preferences can be reduced to a single “reward” value, but research shows this isn’t always true. We will investigate if an AI algorithm can learn from human preferences without relying on rewards. If possible, we’ll design and test algorithms […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

La transformation numérique et le développement de l’intelligence artificielle (IA) atteignent la société tout entière. Plus précisément, l’IA est en train de transformer les façons de faire pour de nombreuses professions. Les organisations vont avoir recours de plus en plus aux modèles d’intelligence artificielle pour les aidés dans leurs prises de décisions. Le projet consiste […]

The AIaaS (AI as a Service) project aims to develop an advanced, scalable platform to host and manage AI models, ensuring high performance and efficiency. This open-source system will leverage the latest AI technologies and distributed computing to deliver fast and reliable AI services. Key features include automated load balancing, dynamic resource allocation, and real-time […]

Many applications often need access to information from multiple independent data sources, including public sources found on the Internet and private sources e.g., hospitals. Software that sits between an application and the data sources, so called “middleware”, can help facilitate this access. However, development of this “middleware” can be very time consuming, is often only […]