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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Learning Legible Human-Robot Handovers

Object handovers, which involve the action of giving and receiving objects, are an integral task for human-robot collaboration. Current human-to-robot handover systems rely on learning from sampled human expert trajectory data [5]. These data are usually difficult to gather, as two humans must hand over many different objects while recording the human motion with a […]

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L2M – SilicoLabs

SilicoLabs’ software revolutionizes psychology/neuroscience research by harnessing XR to create real-world simulations. Researchers import their 3D models, video, audio, images and creating dynamic interactions between them and the participant – all without writing a single line of code! Researchers determine which variables they want to track (e.g., number of times an object is picked up) […]

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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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L2M – EPAID Technology: EPilepsy AI-Driven Technology

EPAID Technology: EPilepsy AI-Driven Technology aims to automate electrophysiological signal processing practice to assist clinicians in the treatment of epilepsy. We will partner with Springboard, who provides strategically positioned resources to Atlantic Canadian universities and colleges alike, helping them transfer both knowledge and technology into the private sector.

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Estimation des précipitations maximales probables à partir de précipitations observées et simulées par un modèle de climat

Les ingénieurs utilisent les précipitations maximales probables (PMP) pour concevoir des infrastructures résistantes aux aléas hydrométéorologiques. La PMP est définie par l’Organisation Mondiale Météorologique (OMM) comme la quantité maximale d’eau pouvant s’accumuler en une période donnée dans une région, indépendamment des tendances climatiques à long terme. Une mauvaise estimation de la PMP peut entraîner des […]

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How does the brain generalize learned event-pain relationships to novel contexts?

Pain is a complex unpleasant experience that varies from a person to another. Learning, priors and expectations are known to have a substantial influence on subjective pain experience. For example, having expectations or being told that an event will be painful can be sufficient to shift a person’s pain experience into a more painful realm. […]

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Veille technologique sur l’impact de l’intelligence artificielle sur la découvrabilité dans le secteur culturel

Ce projet de recherche s’inscrit dans le cadre d’un projet du Centre d’excellence international de Montréal en intelligence artificielle (CEIMIA) dont le but est d’étudier comment l’intelligence artificielle peut contribuer à une meilleure découvrabilité des contenus culturels francophones, et à en traiter les enjeux, dans le contexte actuel des écosystèmes culturels et numériques. La littérature […]

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Linguistic Analysis Meets Artificial Intelligence: Developing Discourse Parsing Solutions for Dialogue Understanding

In recent years, there has been a noticeable surge in the prevalence of dialogues across various domains. The widespread adoption of dialogues, also facilitated by technologies such as ChatGPT, Bard, and Claude, underscores the considerable significance of comprehending their intricate structures. The analysis of dialogue structures offers invaluable benefits, particularly in sectors like healthcare, where […]

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Remotely Operated Bio-inspired AM Underwater Robot

Canada’s international marine trade, accounting for 80% of its commerce with countries beyond North America, surged to an impressive $205 billion in 2015. In this dynamic industry, the maintenance and repair sector assume a pivotal role in managing the life cycle costs of marine vessels, with approximately 72% of the budget allocated to its operation. […]

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