This project will build on the results achieved in MITACS Accelerate Project IT36824 on enhancing the security of the decentralized finance (DeFi) ecosystem through smart contracts analysis. In particular, we plan to work on refining and extending the algorithm we developed to find and repair oracle related vulnerabilities in smart contracts with new techniques to […]

This project will build on the results achieved in MITACS Accelerate Project IT36824 on enhancing the security of the decentralized finance (DeFi) ecosystem through smart contracts analysis. In particular, we plan to work on refining and extending the algorithm we developed to find and repair oracle related vulnerabilities in smart contracts with new techniques to […]

This project proposal aims to tackle a significant challenge in fintech: extracting human-readable descriptions from tabular financial data. Interpreting vast amounts of structured data in the dynamic financial technology landscape is crucial for informed decision-making and compliance reporting. The project seeks to develop a robust system by leveraging open-source Large Language Models (LLMs) tailored to […]

Check fraud continues to be a substantial challenge in the financial sector, involving the unauthorized use of checks for illegal fund acquisition. To address the issue of fraud detection, specific Artificial Intelligence models, particularly Convolutional Neural Networks (CNNs), have been increasingly applied to classify checks as fraudulent or legitimate. However, there is a crucial aspect […]

Westland Insurance Group is a leading provider of insurance services, dedicated to making insurance more accessible and client-centric. The main activities of Westland involve offering a wide range of insurance products and services, focusing on community care and customer satisfaction. The innovation challenge they face lies in optimizing their Learning Management System (LMS) and enhancing […]

Our project aims to tackle the persistent issue of bank check fraud by using advanced deep learning technologies. By developing a system that can automatically detect fraudulent alterations in check images, we seek to enhance the security and reliability of financial transactions. This project is a collaboration with Verafin Inc., a leading provider of fraud […]

The proposed research project aims to tackle the issue of bank cheque fraud. The project will use advanced object detection AI models to accurately extract and segment bank cheques into their component fields, a crucial step in detecting fraudulent activity. These AI models will be trained to recognize specific parts of a cheque, such as […]

The primary aim of this project is to engage with the Canadian startup ecosystem by using advanced technologies to streamline the process of connecting startups with essential funding and resources for global expansion. The project focuses on developing AI tools to efficiently evaluate and filter startups for Continuum Health Ventures (CHV), reducing the time and […]

Implementation of Canada Digital Adoption Program technology & process recommendations

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

This research project aims to help the Bank of Canada understand how people in Canada are using cryptocurrencies like Bitcoin. Cryptocurrencies are becoming more popular, but their prices often have large fluctuations, which can make them risky to use. By studying survey data, the project will explore how Canadians include cryptocurrencies in their investments and […]

The Climate Emergency Unit (CEU), in collaboration with the BC Climate Emergency Campaign, seeks to understand how politicians, media, and civil society organizations in British Columbia frame the connection between affordability and the climate crisis, aiming to shift public perception towards viewing climate spending as an investment in the future. By exploring successful framing strategies […]