The project “Exploring Age-Related Changes in Multisensory Integration using Machine Learning tools” aims to investigate how changes in neurotransmitter concentrations influence the way young and older adults integrate multisensory information and perceive time. Its main method of investigation involves applying machine learning tools to analyze the extensive dataset collected from behavioral tasks, Magnetic Resonance Spectroscopy, […]

Physicians in Canada spend significant time on administrative tasks, including completing paperwork that requires filling out various forms in different formats. It is estimated that most physicians spend about 19 hours per week on paperwork. Such demands not only lead to burnout but also detract from patient care. Moreover, this additional workload is also an […]

Our project addresses the critical challenge in the Canadian labour market: the mismatch between the demand for talent and the availability of skilled individuals to fulfill economic priorities. With Canada facing prolonged labour shortages across various sectors due to demographic shifts, this initiative seeks to bridge the gap by leveraging AI to analyze and match […]

Inspired by how birds fly, Shearwater Aerospace applies AI technology to make drones fly faster and stay in the air much longer. Their autonomous operating system, Smart Flight, enables scalable, adaptive and resilient drone operations by coordinating drones and generating dynamic flight routes that leverage wind energy. This enables drones to fly 25% faster in […]

Momentum Health is an AI-based digital health platform for remote spine care management. From a 45-second video taken on a smartphone, their technology creates a photo-realistic 3D Model of the patient’s body and using AI predicts the degrees of spinal curvature and assesses the patient’s spinal deformity from the surface topography. They were co-founded by […]

Nous avons déjà notre stagiaire donc je ne crois pas que nous devons remplir cette section

The ultimate aim of this project is to design and develop methods and tools for classifying attributes of books such as genre, style, tone, and likelihood of being popular. Towards this end we will make use of various information types available on books and users of the Kobo catalog, including the text, meta-data associated with […]

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

Large language models (LLMs) like ChatGPT have proven to be extremely effective at generating useful responses to a wide variety of user’s questions. However, they often struggle to generate meaningful and accurate responses to questions that are highly specialized, context-dependent, and requiring long-term attention. The goal of this project is to apply LLMs to accelerate […]

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”

The rapid recent rise in the use of machine learning (ML) tools in business and everyday life has introduced both opportunities and new challenges. While powerful, large-scale ML models come with massive energy demands, as well as output that is hard to predict or interpret. This project will focus on the application of tensor networks […]