This project explores a new workflow for creating adaptive music for video games and other interactive media. Today, most interactive music relies on pre-recorded audio segments, which limits flexibility and requires composers to manually prepare a large number of variations and transitions. Our research takes a different approach by working with MIDI, a digital data […]

More than 90% of pharmaceuticals fail to impact fail to pass regulatory approval due to toxicity or lack of effectiveness. 50% of those failures have the potential to impact patient lives and existing therapeutics can be repurposed to expand therapeutic options if they can be delivered in smaller dosages to where they are needed most. […]

This project aims to make a fun, game-based screening tool that helps detect Parkinson’s disease by assessing motor and cognitive function without needles, expensive tests, or stressful doctor visits. Users play a multi level drawing game on a computer or tablet while our artificial intelligence analyzes their handwriting and movements to predict disease risk. This […]

ParkSmart is an AI-powered parking analytics platform designed to make parking management more efficient, accessible, and sustainable for cities, campuses, and organizations. The system utilizes existing camera footage and applies computer vision and artificial intelligence to detect parked vehicles and identify stall occupancy in real time. Through this approach, ParkSmart generates live parking availability simulation […]

This project aims to turn raw underwater video into decision-ready science. Our software automatically detects, classifies, and counts marine species, then delivers results in a simple web dashboard with linked video clips, maps, and exportable reports. Instead of annotating from scratch, ecologists just review and correct AI suggestions—cutting review time by more than half. Built […]

Spine surgery often requires real-time X-ray images to guide surgical tools safely around delicate structures. However, using X-rays continuously during long operations can expose both patients and medical staff to unnecessary radiation. One way to reduce this risk is to use saved X-ray images for navigation rather than continuous exposure; however, this requires precise tool […]

Ce projet de recherche vise à améliorer le traitement des données 3D produites par des capteurs comme le Lidar, utilisés pour cartographier des environnements en haute précision. Ces capteurs génèrent des milliards de points, appelés nuages de points, qui sont aujourd’hui difficiles à analyser rapidement et efficacement. L’objectif est de développer des outils capables de […]

In today’s world, organizations such as banks, schools, and hospitals rely on artificial intelligence (AI) to help make important decisions, from assessing credit risk to detecting fraud. A new type of AI, called Tabular Foundation Models (TFMs), shows great promise for these kinds of tasks. Unlike traditional systems that require heavy retraining, TFMs can quickly […]

This project will help make it easier for scientists and data engineers to work with a powerful type of satellite data called hyperspectral imagery, which captures detailed information about the Earth’s surface. While this data can support important work in areas like climate, agriculture, and environmental monitoring, it’s often difficult to use without specialized training […]

La mission de PhonIA est d’aider les écoles, les orthopédagogues, les orthophonistes et les enseignants à mieux accompagner les élèves présentant des difficultés d’apprentissage. PhonIA a donc développé des outils automatisés de dépistage, d’évaluation et de suivi des difficultés d’apprentissage disponibles via une plateforme numérique. Ces outils permettent d’optimiser et d’améliorer les services professionnels. Les […]

This research project explores how agentic AI—autonomous AI agents with the ability to perceive, reason, and act—can be designed and deployed within recommendation systems to proactively identify and counteract shilling attacks. These attacks involve malicious users injecting fake reviews or ratings to manipulate recommendations. The project aims to develop an adaptive, multi-agent, Agentic AI-driven model […]

Le projet vise à initier le développement d’un cadre méthodologique ESG que les organisations pourront utiliser pour mieux évaluer l’impact environnemental, éthique et social de leurs projets numériques, et qui pourrait être intégré dans l’outil d’évaluation des projets numériques de Prompt.