Quantum communication stands at the frontier of next-generation secure communication systems, leveraging the principles of quantum mechanics to address the limitations of classical cryptography. Among quantum-based techniques, Quantum Key Distribution (QKD) has emerged as a revolutionary solution enabling provably secure key exchange. While bipartite QKD protocols (such as BB84) are well-studied, there remains a significant […]

This project aims to improve the simulation of complex materials such as layered paint, fabrics and coated metals in computer graphics applications. We will develop a neural network-based sampling model that allows accurate and efficient light transport within these materials. In addition, we will integrate this model with general path-guiding techniques to minimize noise on […]

The proposed project aims to modernize the Township of Terrace Bay’s records and data management systems by integrating AI-powered tools that streamline operations and enhance decision-making. Currently reliant on manual processes and limited digital infrastructure, the municipality faces challenges in organizing, analyzing, and retrieving key service data. This initiative will introduce automated classification systems, predictive […]

Accurately assessing and managing pain in dogs is one of the most challenging aspects of veterinary medicine because animals cannot verbally communicate their discomfort. Current methods rely heavily on behavioral observations and standardized scoring tools, which are often subjective and prone to inconsistencies. This project aims to address these limitations by developing an AI-powered predictive […]

This project aims to develop an AI-driven system that transforms a single still image into a realistic, controllable animated video. Unlike traditional video production, which requires costly filming or manual animation, our approach leverages advanced diffusion models to automatically generate dynamic motion while preserving the original visual details of both characters and text. A key […]

Le développement de nouveaux médicaments constitue un processus long, coûteux et complexe, s’étendant de l’identification de composés bioactifs jusqu’à leur mise sur le marché. L’une des premières étapes de ce processus consiste à concevoir et synthétiser des molécules capables de moduler une activité biologique spécifique, généralement en interagissant avec une enzyme ou un récepteur cible. […]

This proposal aims to address a growing challenge in Canada’s financial technology sector that is to analyze ultra-long-term, unstructured financial documents in private markets for explainable decision making. Canadian investors play a significant role in the global private capital market which is estimated by industries to exceed USD $20 trillion by 2030. Unlink public markets, […]

Le développement d’une molécule de la conception jusqu’à l’obtention d’un médicament est un processus couteux. Dans ce processus, la première étape consiste à synthétiser une série de molécules qui inhibent une action biologique particulière, généralement médiée par un récepteur ou une enzyme. Les essais biologiques et cliniques peuvent être les étapes les plus couteuses de […]

Explore how adversarial bots can help players to progress in the mastery of the game through RL and player modeling.

Ce projet vise à utiliser l’intelligence artificielle (IA) pour mieux diagnostiquer et suivre l’évolution de la sclérose en plaques (SEP), une maladie du cerveau et de la moelle épinière qui touche plus de 90?000 Canadiens. En analysant des images du cerveau obtenues par IRM, les chercheurs veulent repérer plus précisément les signes de la maladie […]

In recent years, the advancement of Artificial Intelligence has revolutionized technology and the way we use and interact with things online. The technology promises to transform how we interact with services, communicate with people, and find data most useful to us. The project focuses on software development to further develop an existing software involved in […]

Workplace wellness programs often fail to improve mental health due to minimal uptake and engagement. Digital tools for mental health support are becoming increasingly popular; however, work programs are typically delivered through in-person formats and focus on more severe forms of support (e.g., offering leaves of absence) which often results in low engagement from the […]