Développer des modèles pour la détection d’évènements de bas-niveau basés sur les textures des codes haptiques

D-BOX conçoit et fabrique des systèmes de mouvement haptique pour le cinéma maison et le cinéma en salle qui offrent une expérience immersive en générant des effets de mouvements et vibrations synchronisés avec l’action à l’écran. Les formes d’ondes d’effets haptiques utilisées pour activer les sièges sont actuellement générées manuellement à travers un processus fastidieux […]

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Génération de modèle 3D par IA au sein d’une PaaS de rendu 3D temps réel.

Chez 3dverse, nous sommes persuadés que débloquer le potentiel de la 3D en temps réel est la clé pour faire avancer l’innovation. C’est pourquoi notre équipe construit la première véritable plateforme de rendu 3D en temps réel (PaaS). Nous savons que cette technologie aura un impact décisif et changera la façon dont les gens visualisent, […]

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Analytic tools for assessing the predictability and trustworthiness of social AI systems

As Artificial Intelligence (AI) becomes more developed and integrated into society, it will no longer consist of single isolated systems, but networks of AIs interacting with humans in socio-technical systems interwoven into the functioning of our society. When systems have many interacting components, they start to interact in unexpected ways and become hard to predict […]

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Design and evaluation of congestion control algorithm for fluctuating bandwidth at extreme condition scenarios of 5G-advanced and 6G mobile networks

The applications of the future will require support for ultra-low delay, high bandwidth, and multiple data streams into the gigabit-per-second range. 5G-Advanced and 6G networks with the assumption that width bandwidth will be available through the utilization of high-frequency spectrum. However, this increased bandwidth comes at the cost of unpredictable scenarios, such as sudden changes […]

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Using Machine Learning to Predict Clinical Outcomes in Users of the Digital Health App, Manage My Pain

ManagingLife developed Manage My Pain, an app that lets users track and analyze their pain for better self-management of symptoms. ManagingLife aims to predict clinical outcomes (e.g. anxiety, depression, pain interference) and identify contributing factors from its 85,000 users. The goal is to create a validated, explainable machine learning model that can forecast clinically relevant […]

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Developing auto-annotation of actions in movies assisted by a haptic track

D-BOX is designing and manufacturing home theater and movie theater motorized seats. These seats are used to create an immersive environment for users by generating movements and vibrations that are synchronized with the action in the movies. Right now, making these seats vibrate in the right way takes a lot of manual work. This project […]

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L2M – Addressing Challenges in Healthcare Workforce Recruitment and Career Advancement: A Comprehensive Solution for Healthcare Organizations, Newcomers, and Non-medical Education Background Individuals

A Comprehensive Solution for Healthcare Organizations, Newcomers, and Non-medical Education Background Individuals. The product aims to address the root cause problem of bias in healthcare workforce recruitment and create a more inclusive and efficient healthcare workforce in Canada through the implementation of an AI-powered Healthcare Recruitment and Career Journey Solution.

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What Makes TikTok Tic? A Comparative Study of Social Interaction Models Across Platforms

This project will investigate the impact of TikTok’s emergence as a platform characterized by de-contextualized, algorithm-driven content. Understanding the distinctions between TikTok’s design principles and those of other platforms is essential for comprehending their influence on user interactions, from constructive engagement to polarization. The research will employ agent-based models of opinion dynamics, calibrated using data […]

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Évaluation statistique et prévision de la performance de gestionnaires d’actif

Ce projet porte sur l’évaluation de la performance de gestionnaires de fonds de placement. Plus spécifiquement, dans ce projet on cherche à développer des outils qui permettront à la compagnie de déterminer, à partir de données sur ses rendements passés et sur le rendement d’indices de marché appropriés, si un gestionnaire d’actif a été significativement […]

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Investigation on the Large Language Model adaptation pipeline for domain specific knowledge extraction – application in digitized business scenario

Proco, a tech company that helps franchises with AI, wants to make it easier for franchise owners to find important information in franchisors’ documentation. They use a complex information retrieval system and need a simpler and more robust solution. To do this, they plan to improve an existing Large Language Model (LLM) by teaching it […]

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Application of Transformer Models to Raw Credit Bureau Files for Improved Credit Risk Modelling Performance

This research project will look at new ways to better understand and evaluate a person’s creditworthiness using advanced computer techniques. Traditionally, when banks or lenders decide if someone can be trusted with a loan, they look at specific numbers and data. However, there’s a lot of information in written reports that these traditional methods might […]

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The Raglan Community Social Involvement (CSI) Project: Developing a Comprehensive Model with Inuit Partners

Raglan Mine is developing new, strategic and aligned approaches to its Community Social Involvement (CSI) program. The aim of this program is to partner with others to deliver long lasting value through programs of capacity building, and community social and economic development. This proposed research project involves further developing a comprehensive Community Social Involvement (CSI) […]

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