Our project focuses on innovating the way families manage wealth and health in Canada. By combining tech smarts with personalized advisory, we’re crafting tools that make life insurance decisions clearer, bring families together on financial goals, and help people live healthier lives. These tools are not just about numbers and data; they’re about understanding your […]

Using simplified language understandable to a layperson, provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100-150 words) In this project, we will develop quantum and quantum-inspired machine learning models for anomaly detection applications. We will build statistical […]

The rise in cyber threats mandates robust EDR products like CrowdStrike, Sophos, and Sentinel1, with evaluation within the MITRE ATTACK framework improving response to varied threats. The project aims to compare EDR products comprehensively using the MITRE framework, identifying strengths and weaknesses in countering advanced attack techniques and offering optimal EDR selection advice. The analysis […]

The project will develop a data mining strategy on how to efficiently use Geotab’s data from multiple sources to isolate network connectivity logs in Geotab’s data, interpolate the GPS coordinates associated with network logs, acquire fuel consumption rates and related opportunities. It will involve a literature survey of the existing algorithms to gain valuable insights. […]

Videns Analytics est une compagnie qui approche cinq ans d’existence et qui regroupe une quarantaine de collaborateurs. Pour sa gestion interne, la compagnie utilise plusieurs outils qui touchent différents domaines comme par exemple: – la gestion des heures des collaborateurs, utile notamment pour la facturation; – la planification de l’affectation des ressources humaines sur les […]

Releasing new product features to the existing branded Wealthstack Dynamic Dashboards.

This project “Multimodal RAG Explainability (MRAGE)” aims to develop an interactive tool for explaining Large Multimodal Models (LMMs) augmented with retrieval capabilities. LMMs represent a significant advancement in AI, capable of understanding and generating content across multiple modalities like text and images. By employing the retrieval-augmented generation (RAG) methodology, this project queries external knowledge sources […]

It is shown that the rapid administration of treatment in acute stroke patients improves clinical outcomes. In particular, the time it takes to administer treatment once the patient has arrived at the Emergency Department with stroke symptoms is called Door to Needle Time (DTN). The median DTN time at the Grand River Hospital (GRH) currently […]

Personalized ad targeting is one of the most important features to ensure a successful advertising campaign—e.g., F-150 ford pickup trucks are best shown to construction workers than teenage girls. Another important aspect of ad personalization is frequency capping the ads. For example, showing the same ad 100 times to 1 user will result in not […]

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The project “Developing Data Strategies to Enable Healthcare Machine Learning” aims to develop effective strategies to collect, curate, and maintain data in healthcare. A data strategy which enables Artificial Intelligence (AI)/Machine Learning (ML) models plays a pivotal role in building response healthcare solutions. The project is focused on understanding the fairness aspects of care quality […]

This project aims to develop a system that improves how robots with restricted operating ranges plan their indoor paths for cleaning or surveying. By dividing indoor spaces into manageable areas, the system will enable robots to complete their jobs more efficiently, optimally covering all necessary ground. This project involves both algorithm development and its implementation […]