Portrait stylization

This project explores how AI can create expressive, stylized portraits while keeping a person’s identity and emotions intact. By developing advanced AI models, it will help artists, enhance digital content creation, and support industries like entertainment, advertising, and cultural heritage. The technology can be used in museums for interactive exhibits, in film and gaming for […]

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Development of a Physical Process for the Removal of Metallic Nanoparticles from Carbon Nanofiber

Given the global challenge of greenhouse gas emissions, capturing and converting these gases into valuable carbon-based products, such as carbon nanofiber (CNF), offers a sustainable solution. This is the primary goal of this project’s industry partner, Carbonova Corp, by utilizing greenhouse gas feedstocks and turning them into a valuable CNF. During the production of CNF, […]

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Development of Natural Language Queries Embedded Within a School Data Hub to Support Data-Informed Decision-Making by School-Based Practitioners

The University of Toronto Schools (UTS), through the Eureka Research Institute, is committed to advancing data-driven decision-making in K-12 education. This aligns with the growing recognition of the importance of data literacy in education, where students and teachers need to “read the world with data” and “write the world with data” (Louie, 2022). Recent research […]

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Developing an AI-powered financial advice & education platform.

FriedmannAI is developing an intuitive, AI-powered platform designed to provide personalized, unbiased, and affordable financial advice to all Canadians. By leveraging advanced artificial intelligence technologies, this platform will help Canadians better manage their finances, improve their financial literacy, and achieve their personal financial goals without the sales pressure common in traditional financial services. Successful completion […]

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developing an AI-powered junior lawyer platform to help legal professionals

This project focuses on improving an AI-powered legal assistant platform that helps lawyers with legal research and document generation. A graduate student will work on training and fine-tuning the AI to enhance its accuracy and efficiency. The expected benefit to the company is a more advanced and scalable system that can support more users and […]

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Enhancing Digital Engagement in AI Music Innovation: A Collaborative Social Media Strategy Internship

Staccato AI is advancing Canada’s music technology sector by funding a project that leverages artificial intelligence to support creative music production. In collaboration with a McMaster University intern, the project will implement a strategic social media campaign designed to boost Staccato AI’s online presence and foster community engagement among music creators.

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Optimization of the scale up of biomaterial ink production and biological quality control processes

The intern selected for this project will aid in the scale up of inks containing biological materials to be commercialized by Tessella Biosciences for use in research targeting modelling of tissues and regenerative medicine. The intern will focus on process development and optimization, and on the establishment of quality control benchmarks and standard operating procedures. […]

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Scaling Impact of the Guided Hands Assistive Device for People with Hand Disabilities in Education

Guided Hands® is an award-winning assistive device that helps individuals with hand disabilities write, paint, draw, and use iPads to communicate independently. Designed for people with Cerebral Palsy, spinal cord injuries, and other neurological conditions, the device is currently used by over 4,750 children and adults with disabilities worldwide. Through this project, we aim to […]

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ESROP – KMUTT – Hybrid LSTM-GRU Architecture with Adaptive Attention for Financial Data

This research project focuses on using advanced machine learning techniques to better predict stock prices, specifically targeting stocks from the S&P 500. By combining powerful deep learning methods—such as LSTM and GRU networks—with adaptive attention mechanisms inspired by Transformer models, the project aims to create forecasting systems that can dynamically adapt to changing market conditions, […]

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