GeoMix Reality System for Geographic Information Access in Mixed Reality

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. […]

Read More
DNA, IFC, and Live Timeless

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 […]

Read More
Quantum-Inspired Machine Learning Methods for Anomaly Detection

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 […]

Read More
A Comprehensive Evaluation of various EDR Products in Alignment with MITRE Framework

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 […]

Read More
Big Data Analytics for GPS Fleet Management

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. […]

Read More
Développement d’un système informationnel 360 pour l’optimisation des opérations (suite)

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 […]

Read More
Multimodal RAG Explainability

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 […]

Read More
User Profile generation for Mobile Ad Targeting

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 […]

Read More