Prescriptive Machine Learning in Pediatric Cardiology

Recent technological advances in data collection, transmission, visualization, and machine learning make it possible to develop healthcare systems with the aim of monitoring the health status of patients. Pediatric Cardiologists rely on referrals from family physicians for abnormal heart conditions. Family physicians are not trained well enough to recognize abnormal murmurs and err on the […]

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La télévigilance au service du maintien à domicile pour mieux comprendre et accompagner les personnes âgées : Mise en œuvre de processus

Ce stage Mitacs s’inscrit dans le cadre d’un projet d’implantation d’une technologie permettant de télésurveiller les activités de la vie quotidienne, nommée VigIxia, qui aura lieu cet automne au CIUSSS Centre-sud-de-l’île-de-Montréal (CCSMTL). Le CCSMTL et VigIxia réalisent cette implantation d’un nouveau service dans le cadre des Projets vitrines du Ministère de la santé et des […]

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LANGA – Big Data for Language Learning

LANGA is a project at Copernicus Studios (Halifax, NS) that is experimenting with the use of automated speech recognition in on-line video games to assist in language learning. Over the past 2 years, the company has been developing prototypes of the game and testing them in conjunction with the NeuroCognitive Imaging Lab at Dalhousie University. […]

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Enhancing smart thermostat performance through customer data analysis and the integration of AI techniques

Enhancing the efficiency of expanding HVAC systems is a complex task. Utilizing Artificial Intelligence (AI) techniques like Machine Learning (ML) and Deep Learning offers promising solutions. ENA Solution’s smart thermostats provide the potential to employ AI methods for temperature control and energy optimization. In recent years, the company has made efforts to integrate AI for […]

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Towards practical blockchain technologies for physical asset tokenization

Originating in 2008 with Bitcoin, blockchain technologies have reached recognition as the infrastructure powering cryptocurrencies. Smart contracts have provided the programmability needed to support a second generation of decentralized applications, such as non-fungible tokens (NFTs) and decentralized finances (DeFi). We are now ushering in a third wave, where the technology is crossing the digital boundary […]

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Personalized user engagement based on activity insights

This project aims to integrate a chat interface into the UpBeing app to allow users to engage more deeply with their insights. It consists of informing a large language model (LLM) of a user’s most recent insights, which will give it real time ground truth a users’ recent experience, thereby empowering the LLM to provide […]

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Intermodal container allocation problem in rail yards

In this project, we propose to develop innovative methods to improve the efficiency of yard operations in intermodal terminals where containers awaiting to be loaded on the trains are temporarily stored. The management of yard operations involves allocating storage space to containers on the yard, and assigning cranes and/or other handling equipment to transfer the […]

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Création d’un outil de modélisation géospatiale d’un réseau cellulaire

Networks, Economics & Strategy (NE&S) est une entreprise de conseil spécialisée dans les stratégies pour les secteurs des télécommunications et de la technologie. Ils possèdent une vaste expertise, allant de la planification des réseaux à l’analyse économique. Avec les changements rapides dans les télécommunications, une question clé est de savoir comment gérer automatiquement l’offre et […]

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Canadian Scientists Network

Despite the drive to create a more diverse and inclusive science and engineering community in Canada – there is, remarkably, no central platform or easily accessible database that highlights natural sciences, engineering and allied health sciences scientists from different disciplines. In contrast, several other speakers bureau-type platforms enable searching for attributes and expertise. Imogen Coe […]

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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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