Improved quality control of blood products using high throughput mass spectrometry coupled to machine learning approaches.

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 […]

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Mastering Multi-modal Decision-making with World-Models

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 […]

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Modèles pour la prévision de la durée d’une police d’assurance

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 […]

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Creating an anticipatory data ethics protocol for emerging nature-based solutions

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 […]

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Distributed and Partitioned Join Index

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 […]

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AI/ML-Powered Talent Acquisition/Assessment Chatbot (TAC) via harnessing enhanced NLP algorithm

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 […]

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Blockchain-Enhanced Fake News Detection in Social Networks

This project aims to take advantage of the blockchain ecosystem to detect fake news. This is done by designing a rating system that works on the blockchain network through which a group of verified reviewers will rate the news prior to broadcasting. News with inadequate verification from reviewers will be marked as ‘fake’. Afterward, the […]

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Towards Inclusive Mobility: Designing Augmented Reality Interaction with Autonomous Vehicles for Older Adults

Autonomous vehicles (AVs) represent an emerging technology, and initially, individuals may feel less confident in autonomous driving systems without human drivers. A proper communication medium between passengers and AVs can facilitate a safe and reliable experience. Older adults are expected to be one of the largest user cohorts of AVs as they support aging in […]

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Diffusion Language Models for Conditional Code Generation

Have you heard about DALL·E 2, Midjourney or Stable Diffusion? Or perhaps you were fooled by the picture of the pope in a puffy white coat, or by some other deepfake memes involving stars and/or politicians? Well, good or bad, these feats are made possible by a technology called generative diffusion models. Although they are […]

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Town of Vermilion IT and Innovation

The Town of Vermilion is an urban municipality located 200km east of Edmonton, with approximately 3,900 residents and a staff of approximately 100 positions including seasonal and casual (eg: fire fighters.) As a small municipality with limited resources our systems are in need of modernization, and innovation in any area is of great benefit to […]

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Holdr Co Op

Holdr aims to modernize the fan club experience by offering artists an easy way to partner with their most dedicated fans. This initiative promotes inclusivity within the music industry, ensuring every artist, regardless of their background or resources, has equal access to opportunities. The project requires assistance from Co-Op interns for several objectives: collaboration with […]

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Digital Twinning for Industrial Work Sites

The project will contribute to technological advancements in the construction material supply industry, promoting efficiency, safety, and cost savings. These contributions are significant as they help address broader societal challenges, such as workplace safety and efficient resource utilisation. Moreover, it will potentially position Canada as a leader in innovative digital solutions for the construction industry […]

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