(1) Ocado Technology, a division of Ocado Group, specializes in AI-driven robotics and automated fulfillment solutions for online grocery retailers. The company develops machine learning models, robotic control systems, and computer vision technologies to improve warehouse automation. As a partner in this project, Ocado will provide mentorship, computational resources, proprietary datasets, and robotic simulation environments, […]

Ce projet cherche à répondre à la question suivante : Quel est l’impact de l’utilisation des résultats rapportés par les patients (PROs), en tant que données du monde réel (RWE), sur les décisions de remboursement des technologies de santé par le CDA-AMC et l’INESSS au Canada ? PeriPharm est une entreprise canadienne spécialisée en pharmacoéconomie […]

Polynomial factorization is a core problem in Computer Algebra, with significant applications across fields such as coding theory, cryptography, number theory, solving systems of polynomials, and algebraic geometry. This project aims to develop an efficient algorithm for factoring multivariate polynomials over algebraic number fields with multiple extensions, addressing a key computational challenge in modern algebraic […]

RationalTek : Plateforme d’architecture intégrée en IA Principales activités du partenaire : RationalTek vise à rendre les organisations plus performantes en les soutenant dans leur projet de transformation organisationnelle par le biais de la mise en place d’une architecture d’entreprise orientée service (AEOS) innovante et pragmatique. Problématique : Le projet global consiste à développer une […]

Scopia aide les chirurgiens à réaliser des chirurgies minimalement invasives guidées par caméra (endoscope, laparoscope, etc.). Notre solution ajoute des couches d’intelligence aux images pour améliorer la visualisation, la navigation, le diagnostic et l’intervention. Le stage s’inscrit dans un projet plus large de développement de navigation chirurgicale en laparoscopie. Le but du projet est de […]

This project, a collaboration between 3Tenets Consulting Inc. and Dr. Wenjing Zhang from the University of Guelph, seeks to address emerging security and privacy vulnerabilities associated with the use of Large Language Models (LLMs) in enterprise environments. The initiative will focus on developing a prototype Privacy Leakage Assessment (PLA) Toolkit to evaluate and mitigate risks […]

Industrial-scale production of insect-derived protein has emerged as a sustainable alternative to wild harvesting or large animal farming. The principal waste product is called frass, which is composed of excrement, larval exoskeletons and microbes. Frass from black soldier fly larvae (BSFL) has plant-growth promoting (PGP) properties and is therefore well positioned as a replacement for […]

Artelys Canada est une compagnie de consultation spécialisée dans la mise en oeuvre de solutions d’aide à la décision quantitative, faisant intervenir des modèles et algorithmes de mathématiques décisionnelles : statistiques, analyse de données, intelligence artificielle, optimisation numérique et recherche opérationnelle. Elle se distingue par son ADN industriel et intervient principalement dans les secteurs de […]

We have developed a novel data augmentation procedure that significantly enhances machine learning-based classification of different brain imaging scans. Having successfully demonstrated proof-of-concept in a rodent model, we are now expanding this approach to clinical applications in humans. Specifically, we aim to utilize this technology to identify early biomarkers of neurodegenerative diseases, enabling personalized treatment […]

Spin qubits—nanoscale quantum bits made in semiconductor materials—are a promising technology for building future quantum computers. They are highly miniaturized, can work at relatively higher temperatures than competing technologies, and can be made using standard industrial semiconductor-chip fabrication techniques, which makes them ideal for scaling up. However, traditional chip design software is not adequate for […]

The project explores the application of physiological sensors in psychology, mental health, and mindfulness by integrating artificial intelligence for emotional classification. It aims to validate a wearable physiological monitoring system, using devices like Fitbit Versa 6 and Emotibit, to predict stress and anxiety levels through machine learning. This initiative is crucial given the prevalence of […]

A key challenge in corporate law is the efficient indexing and retrieval of legal documents. This project focuses on enhancing the accuracy of AI-driven legal document processing, making it easier for law firms to manage client records. With improved document indexing and data extraction, legal professionals will have better access to structured, reliable legal information. […]