Effective Prediction and Recommendation by Concentrating on Dynamicity and Evolution in Charity Data Processing

Individuals (donors) wishing to donate funds to non-profit and/or charitable organizations want to know how the organizations operate and how effectively their donations are used. Dexterity has developed an online service called Place2Give which aims to answer those questions. The research project aims to employ social network analysis and data mining to enhance the data […]

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Digital Horizons: Shaping Manitoba’s Integrated Policy Future

In today’s society, digital technologies impact every facet of how we live, work, and play. ). As a result, decisions and investments related to digital policy influence and can either enable or prevent the achievement of broader social policy goals, and vice versa. This project is developing a comprehensive ecosystem map identifying all digital policy […]

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Enhancing Ethical AI Engagement: Revising Public Consultation Frameworks and Annual Review Processes for Responsible AI Practices

This project aims to enhance TELUS’s Responsible AI (RAI) survey, which is designed to gather public insights on key AI ethics principles like fairness, privacy, and transparency. The goal is twofold: (1) to update the RAI survey so that it better captures the evolving values and concerns of Canadians regarding AI technologies, and (2) to […]

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Hyper Hippo Vector Art Asset Tool

Existing AI image tools are set up to work primarily with images in a pixel-based format (e.g. with a jpeg, png, or gif file representation). However, most games make use of vector art. The important unique aspect of vector art is that it can scale up or down as needed without a loss of resolution, […]

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Smart MLOps: Supporting Machine Learning Pipelines with Drift Detection and Model Adaptation

This project aims to enhance responsible AI in dynamic environments by leveraging data drift detection and model adaptation techniques. By collaborating with IFS Canada, this project seeks to synergize academic exploration with real-world application, creating a dynamic partnership that bridges the gap between theoretical advancements and practical solutions. This project, focused on developing reliable AI […]

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Market research intern

The project aims to enhance understanding of customer perspectives on traditional IP legaltech and AI innovations within IP law firms in Canada. Interns will engage in primary market research by contacting and conducting interviews with IP law firms in Canada. Their goal is to gain insight into the firms’ views on product propositions tailored to […]

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Sharing a quantum machine

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 […]

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Exploiting Nonlocal Effects in Quantum Error Correcting Codes

The industry partner, Xanadu, is developing large-scale quantum computers based on a photonic hardware platform. All large-scale quantum computers will rely on error correction codes in order to carry out useful computations. Due to the possibility for long-range qubit connections in a photonic system, via fibre optics, it may be possible to exploit non-local connections […]

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Accessible Communications of the Needs of Persons with Disabilities

Building codes are often written in complex legal language, making them difficult to understand. While diagrams can help, they often lack standardization and fail to convey the intent of the requirements. To help architects, engineers, contractors, and inspectors to understand the intent and specifics of requirements, we aim to develop a set of best practices […]

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