The proposed research addresses fundamental challenges in developing LLM-based AI conversational agents for industry, health and related fields. The partner organization, Industrio AI is interested in overcoming these challenges by using new AI techniques that enable smarter, more natural, empathetic, and responsive AI chatbots for their customers. The goal is to produce a protoype for […]

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In today’s fast-paced and interconnected world, access to real-time geographical information has become indispensable across various sectors, including logistics, military, education, entertainment, and more. Recognizing this essential need, we propose the development of the GeoMix Reality System, a state-of-the-art mixed-reality platform designed to provide users with real-time geographical data in an intuitive and interactive manner. […]

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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 […]