Caractérisation d’incertitudes et prédiction de charges de travail d’une chaîne de production industrielle, en utilisant des méthodes d’apprentissage machine et de science des données et développement d’une solution logicielle prototype

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 […]

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Forecasting Levodopa-Induced Dyskinesia in Human Subjects with Parkinson’s Disease

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 […]

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Automated gated quantum-dot 3D model generation and tuning for technology-computer aided design of realistic spin-qubit systems

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 […]

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Validation of wearable device for use in predicting high and low levels of stress and anxiety in daily life

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 […]

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Enhancing Legal Document Processing with Large Language Models: A Specialized ChatGPT Model for Corporate Law

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. […]

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Large language models and other machine learning methods to advance AMD’s hardware and software capabilities

AMD is a leading innovator in high-performance computing, graphics, and visualization technologies, focusing on gaming, immersive platforms, and data center solutions. The company develops cutting-edge hardware and software solutions to enhance computing performance across various applications, including artificial intelligence (AI), machine learning (ML), and edge computing. AMD is seeking to apply advances in AI and […]

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Enhancing Plasma Dynamics Modeling in RF Ion Sources Using Improved PIC Simulations and Refined Cross-Section Data

This study utilizes computational plasma modelling using a Particle-in-Cell computer program to simulate and compare hydrogen and deuterium in a volume-cusp ion source to ascertain why H¯ and D¯ output beams beam production ratio is ~3:1 [3-5]. To the best of our knowledge a comprehensive modelling study does not exist explaining this effect. This project […]

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L2M – Carbon Capture in Breweries using Adsorption-Based Technology

This project will support the commercialization of TurnCO2, a clean technology startup developing a low-cost carbon capture system designed specifically for craft and mid-sized breweries. Breweries produce large amounts of CO2 during fermentation, but most of it is released into the air while they continue to buy expensive, externally sourced CO2 for packaging and carbonation. […]

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AI Adoption and Its Barriers

Understanding Barriers to AI Adoption in Canada Artificial intelligence (AI) is transforming industries worldwide, yet Canada faces significant barriers to widespread adoption. This C.D. Howe Institute policy paper will examine the current state of AI adoption in Canada, assess its economic, social, and productivity implications, and identify key challenges hindering broader implementation. These challenges include […]

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Ispiciwin Project – UNB Catalyst

The Ispiciwin Project (I???????, the Project) is an outreach and awareness project that explores the way in which we travel in our modern age to promote the progressive transition our society is making towards zero-emission vehicles (ZEV). Ispiciwin (I???????), in nêhiyawêwin, means to travel, and this Project focuses on the journey we are taking as […]

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Security Analyst I

Bulletproof, specializes in cybersecurity, providing security operations center (SOC) services to monitor, detect, and mitigate security threats. Their main activities include real-time monitoring of security events, investigating incidents, and ensuring a robust security posture for their clients. The innovation challenge they face involves enhancing their ability to identify and respond to evolving cybersecurity threats, including […]

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MFL Mitacs Project Electric School Buses

The transition to electric medium and heavy-duty vehicles, particularly school buses, presents a significant opportunity for sustainable transportation. School buses are ideal candidates for electrification due to their predictable daily routes and manageable travel distances. However, establishing the necessary charging infrastructure and charging schedule at bus depots is a major barrier to this transition. Installing […]

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