This project will develop novel circuit metrics to predict model performance under realistic noise conditions, offering a practical approach to enhancing QML trainability. The research will investigate optimal parameter resilience across different circuit depths, qubit counts, and problem types, while comparing overparameterized and underparameterized regimes. Additionally, circuit metrics will be developed to predict model performance […]

Spero Analytics is a research-driven IoT startup which builds mesh networks for automated, continuous surveillance of greenhouse gas emissions in landfills and energy facilities. As those networks are power efficient and operate using radio communication, they can be deployed in remote industrial areas with limited cellular/power infrastructure. The existing system architecture consists of a gateway […]

Machine learning (ML) is transforming industries like IT, finance, and healthcare, but the code that powers these systems is still mostly written and updated by hand. This project explores how Large Language Models (LLMs) can assist developers by predicting and suggesting code edits for ML projects. By analyzing real-world code from public repositories, the research […]

PaceZero is hiring an intern to research how to integrate Artificial Intelligence (“AI”) into operations. Areas of interest will focus on, but are not limited to, leveraging technology to enhance sourcing prospective borrowers. More specifically, the intern will research the capabilities and functionality of various Ai programs such as ChatGPT, Perplexity, and tl:dv, among others. […]

A Patient-Centered and Visually Attractive Toolkit Adapted to Children and Youth to Reduce Inhaler Impact on Carbon Footprint in Ambulatory and Outpatient Settings 1) Introduction/Background: Carbon footprint (expressed in carbon dioxide equivalent, CO2e) is the preferred method to measure our impact on climate change. Healthcare represents 4.6% of total Canadian greenhouse gases emissions, and in […]

This project will integrate an advanced analytical technique (i.e., Raman spectroscopy) and machine learning to help the partner organization monitor key cell growth parameters, streamline experimental design, accelerate culture media optimization, and ensure the consistency of media and product quality. These advanced analytical tools and workflows will allow the partner organization to improve the efficiency […]

This project uses AI and smart thermostats to predict heatwaves in Canada, helping protect public health. By analyzing indoor and outdoor temperature data, we aim to improve heatwave forecasting and understand how extreme heat affects indoor spaces. Using machine learning, we develop models to predict future indoor temperatures, supporting better planning and response strategies. The […]

XLSCOUT Ltd. specializes in AI-driven patent intelligence, providing advanced solutions for intellectual property (IP) strategy and innovation management. The company aims to enhance the accuracy and efficiency of patent-related tasks, such as claim chart generation and standards compliance mapping, through fine-tuned large language models (LLMs). This project addresses a critical challenge: general-purpose LLMs lack domain-specific […]

J Squared builds and provides rugged electronic systems in several industries. FALC-AI, a division within J Squared, is focused on the vertical integration of these platforms with computer vision and AI models to enable a variety of use cases that require being able to extract accurate data from videos and images, and in turn, use […]

Aston Dynamics Canada Limited (Aston Dynamics) is working on improving electro-hydraulic braking (EHB) systems for electric and heavy-duty vehicles. The company has already made significant progress in solving key issues like slow braking response, reliability, and limited braking force. They’ve developed and tested prototypes that show better braking control and efficiency, especially for electric vehicles, […]

Boson AI is an early-stage startup of 30 scientists. They are building large language tools for interaction and entertainment. They are seeking interns from the University of Toronto to join them in their Toronto office. The intern will work on modeling and training LLMs, understanding and interpreting model behavior and aligning models to human values. […]

Globally, there have been challenges in pulling together data, analyses, epidemiological insights, and unusual infection disease trends into comprehensive and regular reporting, that support pharmaceutical and life sciences organizations with timely intelligence for decision making. BlueDot has the knowledge and expertise to bring together these insights in a highly visual, easily understandable regular reporting format, […]