Modular, Scalable, and AI-Enhanced Healthcare Platform: A Unified System for Advancing Patient Care through Modular Design, AI Integration, and EMR Readiness Across Clinical Settings

Tenzr Health is a B2B SaaS digital health technology company focused on improving rehabilitation outcomes through intelligent sensor-based platforms and gamified therapeutic experiences. Their solutions are widely utilized in hand therapy and musculoskeletal (MSK) rehabilitation, providing patients and clinicians with interactive tools that promote movement compliance and facilitate real-time data capture. With a mission to […]

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Le quantique comme levier stratégique de souveraineté numérique au Québec

Ce projet compte étudier comment les technologies quantiques peuvent renforcer la souveraineté numérique du Québec. Il ambitionne aussi de créer une feuille de route stratégique pour asseoir durablement celle-ci. Dans un contexte de forte dépendance aux technologies américaines et de guerre tarifaire menée par le gouvernement des États-Unis, cette recherche s’inscrit dans la volonté de […]

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EGM Occupancy Analysis: Contextual Modeling and Visualization for Machine Usage Patterns and Optimized Player Engagement

This project will analyze Electronic Gaming Machine (EGM) occupancy patterns and player behavior using anonymous spin-level data to optimize machine usage and support data-driven decision-making. By examining how players select machines based on availability, time of day, and traffic conditions, the research will generate actionable insights for International Game Technology (IGT) and its casino partners. […]

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PQC Hybrid Certificates Benchmarking

With the rise of powerful new quantum computers, the digital locks we currently use to protect our online information, like banking details and private messages, could soon be broken. Systems like RSA and ECDSA, which are common today, might not stand a chance against quantum attacks. To stay ahead of the game, experts at the […]

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Enhancing TMJ Disorder Diagnosis via AI-Assisted Segmentation

Temporomandibular Joint Disorder (TMD) is an umbrella term for diseases that affect the jaw. It is a common but often underdiagnosed condition that can cause significant jaw pain, limited movement, and long-term oral health issues. Accurate diagnosis relies heavily on the precise identification of tiny jaw structures in medical imaging, a task that remains challenging […]

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Le Web Sémantique pour la modélisation et l’enrichissement des contenus dans DITA

IXIASOFT, notre partenaire, utilise le standard DITA, basé sur XML, pour la rédaction de la documentation technique et l’organisation d’une information structurée orientée sujet. DITA encourage la rédaction du contenu sous forme des topics indépendants. Les techniques du web sémantique offre la possibilité de faire des liens entre les topics et les documents pour faciliter […]

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Automated RFP Research

Hivelighter is a SaaS provider specializing in personalized and perspective-based knowledge discovery and knowledge management. Hivelighter helps businesses in knowledge intensive industries (marketing, consultancies, law firms, educational organizations, etc.) preserve human intelligence at the core of their competitive advantage. The current project explores “task-tuned” customisation for organizations. The task being tackled in this case is: […]

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SharpNexus AI Tools and Product Development

SharpNexus is a Canadian AI consulting firm that enables organizations to achieve digital transformation, uncover efficiencies, and generate new value through artificial intelligence. The company applies a broad range of AI technologies—including open-source models, proprietary frameworks, and third-party services—to address diverse business needs, ranging from automation and analytics to customer engagement and decision support. Solutions […]

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Improving the Detection of Performance Regressions with Change Point Detection Methods

As software systems evolve, the software performance has to be constantly monitored to ensure that systems are responsive and economically sustainable. Companies like Mozilla have dedicated teams and an automated workflow to detect performance regression. However, due to the nature of performance measurements, the automatic detection of regressions is bound to flag issues falsely, which […]

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Smarter Imaging for Everyone: Adapting AI-Based Diffusion MRI Analysis to Low-Field Scanners

This project tackles a major challenge in modern brain imaging: advanced techniques like diffusion MRI and tractography are powerful tools for studying conditions such as multiple sclerosis, dementia, and brain cancer, but they rely on expensive, high-resolution scanners that are often unavailable in routine clinical settings—especially in underserved or rural communities. These methods also struggle […]

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