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 […]

The Halifax MacKay Bridge is a critical passage for maritime traffic, requiring accurate air gap predictions to ensure safe vessel clearance. This project will develop a machine learning-based forecasting model that estimates air gap values at 30-minute, 90-minute, and 72–96-hour intervals. Using data from the Port of Halifax, including tide levels, weather conditions, and traffic […]

This project explores how quantum computing and artificial intelligence (AI) can work together to improve how we detect diseases using medical images. Medical imaging, like X-rays, clinical photos, and eye scans, are essential for diagnosing many health conditions. However, analyzing these images quickly and accurately remains a challenge, especially as the amount of data continues […]

This project between Dalhousie University and Paris-Saclay University focuses on improving how low-power wireless networks share the sub-GHz radio spectrum. These networks, including LoRaWAN, Wi-Fi HaLow, and Sigfox, are widely used in smart cities, agriculture, and environmental monitoring. However, when they operate in the same unlicensed frequency bands, interference can occur, reducing reliability and energy […]

The project is titled Automatic Speech Recognition Adaptation for Pharma IoT Devices.