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.

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 […]

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 […]

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 […]

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 […]

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) […]

We will assess the quality and suitability of blood and blood-derived products using a fast and economical approach that combines measurements of molecules in the blood product identified by their weight and computational approaches to make sense of all the data generated. Normal blood products have thousands of small molecules in common. By monitoring a […]

The quest for building an artificial intelligence (A.I.) that is general and able to solve multiple tasks, as humans do, has experienced a growing interest in the last few years. Current A.I. systems can communicate with humans and provide sensible answers and ideas in the form of text. However, if we expect A.I. systems to […]

Dans un marché très compétitif comme celui de l’assurance, estimer la durée de l’association potentielle entre un nouveau client et la compagnie est un enjeu majeur. Ceci permet à l’entreprise de cibler de futurs clients potentiels qui seront plus susceptibles d’augmenter sa rentabilité en répartissant les coûts dus à l’émission du contrat sur une plus […]

Ethical data governance practices continue to shift with the emergence of digital technologies like blockchain and artificial intelligence. As these technologies begin to integrate more with climate and nature-based solutions, unique implications appear around data collection, handling, and use. Established concerns about privacy, consent, and data transparency present themselves, along with new considerations where information […]

The overall goal of this internship is to improve the query capacity of the Informatica Data Vault data management system. In particular, better support for join operations, that combine the information of various tables of data warehousing appliactions, will be provided. For that, a specialized join index will be designed, developed and evaluated on standard […]

The talent acquisition process is crucial for organizations to meet their business objectives. However, traditional methods often have biases and inefficiencies, such as a shortage of qualified candidates, time-consuming processes, and unconscious biases. The proposed solution, known as “ATAP,” leverages Artificial Intelligence (AI) and Machine Learning (ML) algorithms, a Technical Assessment Chatbot (TAC), and data […]