The partner organization Layer 6 AI is a leading artificial intelligence research lab and a part of TD Bank Group. It focuses on advancing machine learning and deep learning technologies to drive innovation across various sectors including financial services. The company specializes in AI-driven solutions such as predictive modeling, recommendation systems, and natural language processing. […]

Geotab is a global leader in IoT and connected transportation, providing valuable insights to over 80,000 customers worldwide by collecting more than 4 billion data points daily. The Safety & Video Analytics team at Geotab currently detects vehicle collisions using in-house machine learning models on telematics data. However, the severity of crashes is currently assessed […]

The partner, Boson AI Inc., is a leading AI solutions provider, specializing in customized model serving for businesses. Through this project, Boson AI aims to tackle key challenges in improving the reasoning capabilities of large language models (LLMs). While techniques like Chain-of-Thought prompting have shown promise in improving LLM performance on complex tasks, they remain […]

(1) CAMH is a research hospital that aims to improve the provision of clinical care to clients with psychiatric conditions through research. Through analyses of large-scale multi-modal data and clinical trials with biological assessments, the Kimel TIGR lab seeks to identify biological bases of psychiatric conditions that can be targeted using existing and novel treatments, […]

Geotab, the global leader in connected vehicle and asset solutions, leverages advanced data analytics and AI to enhance fleet performance, safety, and sustainability while optimizing costs. Backed by a team of industry leading data scientists, engineers, and AI experts, we serve over 50,000 customers across 160 countries, processing billions of data points hourly from more […]

Pulsenics will collaborate closely in this project by partnering with the intern to enhance their software platform, specifically targeting real-time Electrochemical Impedance Spectroscopy (EIS) analysis. Pulsenics faces challenges with their current EIS software, which lacks the efficiency and diagnostic accuracy needed for effective real-time monitoring, resulting in increased downtime and less-than-optimal asset management. This research […]

The Temerty Centre for Therapeutic Brain Intervention aims to find new understandings of and approaches for hard-totreat mental illnesses across patients’ lifespans by delivering high quality clinical care and research using brain stimulation and psychedelic therapies. Personalized modulation of brain networks with Transcranial Magnetic Stimulation (TMS) is a promising treatment for neuropsychiatric brain disorders such […]

The objective of the proposed research project is to build and demonstrate a fuel-powered contactless power transfer (CPT) system. This system is comprised of two units: an emitter and a receiver. The emitter, which can be heated using different fuels (including oil, gasoline, hydrogen, biodiesel) emits radiant energy over a distance to the receiver, which […]

Bumble bees are essential pollinators, but their populations are declining due to habitat loss, climate change, and pathogens like Crithidia and Vairiomorpha. These pathogens spread through feces on flowers and within colonies, reducing bee fitness and survival. While pathogen levels are well-documented in mainland southern Ontario, little is known about their prevalence on Pelee Island, […]

Geotab will provide the foundational platform and infrastructure, data, and expertise for the project. This includes access to their IoT big data environment on Google Cloud Platform, containing telematics data from 4.5M+ connected vehicles globally. They will offer mentorship and support through their AI Platform team, share historical data and documentation for training the large […]

Professor Kim’s team is advancing AIST’s initiative to develop a Foundation Model for Computer Vision, a transformative AI system designed to address diverse tasks through large-scale pre-training. These models are vital for computer vision, which focuses on enabling machines to interpret visual data like images and 3D point clouds. Professor Kim’s work centers on 3D […]

This project will investigate new methods for improving decision-making tools that help organizations make better choices when faced with uncertainty. Specifically, we will study how to more accurately estimate weights in the Analytic Hierarchy Process (AHP), a common tool used for Multi-Criteria Decision Making (MCDM). By focusing on interval and fuzzy weight estimation, the project […]