At WorkSafeBC, an overwhelming amount of data is being produced, particularly in conversation logs between people who have an active claim with WorkSafeBC and various practitioners with whom they have regular contact (usually over the phone). These records are transcribed into text and the information is far beyond what any analyst could possibly read and […]

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Machine Learning (ML)-based software quickly becomes complex due to being developed by multiple teams using different programming languages, with documentation stored in various locations. This complexity introduces communication and collaboration challenges, specially due to the fact that Co-operators Business Intelligence department manages over 1,150 assets, which includes ML models, APIs, databases, and more. The current […]

In partnership with NovaceneAI, computer science and journalism researchers from Toronto Metropolitan University will continue to develop an AI-powered product (Journalism Representation Index, or JeRI) that gives journalists and media consumers a tool with which to analyze the sources cited in journalism reports. The primary goal of the platform is to provide an evidenced-based structure […]

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Large language models (LLMs) are becoming ubiquitous given their ability to excel at many tasks. However, there has yet to emerge a comprehensive understanding of their internal mechanisms, in particular with regards to how LLMs use the knowledge it possesses. Previous works have suggested that despite LLMs possessing knowledge, they can often be incapable of […]

LegiSimple is an innovative project designed to simplify the legal process for lawyers, notaries, and paralegals in Quebec and Canada. The project leverages advanced AI to drastically reduce the time required to analyze, interpret, review, find jurisprudence, and refer to case law. This technology enables legal professionals to focus more on strategic aspects of their […]

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Research Question: How can we optimize the processes of data collection, annotation, and model training to develop a robust and generalizable AI system that maintains high performance across diverse scenarios?

The Disaster Management and Community Support Platform is designed to enhance disaster preparedness and response in Canadian communities by providing real-time risk assessments and fostering a robust community support network. The platform integrates features such as real-time communication, volunteer matching, resource management, and mental health support to help local governments, NGOs, and residents respond more […]

Express Voice Studio is developing an online portal to streamline payment processes through an internal system, we aim to either create a custom software or integrate an existing platform into our website for optimal efficiency. Our commitment to customer satisfaction drives us to continually improve our services and operations, our vision is to streamline payment […]

Quantum processing units are expected to accelerate some tasks within a high-performance computing (HPC) environment along with CPUs, GPUs and other specialized accelerators. Currently, quantum computers are used by a single user at a time, and this user has access to all the qubits of the machine. Sharing the machine between applications that only use […]