Building a semi-supervised machine learning model to predict biomolecular condensates

Princess Margaret Cancer Centre belongs to the University Health Network (UHN), Canada’s leading biomedical research organization. The Centre focuses on cancer research across various fields, including genomics, informatics, signaling, health services, and biophysics. Dr. Kumar’s lab is currently investigating the consequences of genomic alterations in intrinsically disordered regions (IDR). IDRs are present in proteins that […]

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Agent Learning in SLMs

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. […]

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Collision (or crash) Severity Inference

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 […]

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From Slow to Fast Thinking for LLMs

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 […]

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Enhancing DAG Deployment and Testing through User-Centered Design

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 […]

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Implementation of Software Features for Electrochemical Impedance Spectroscopy Analysis in Industrial Electrochemical Assets

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 […]

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Debugging the Brain: Reading and Writing Human Cortex using Electroencephalography (EEG) and Transcranial Magnetic Stimulation (TMS)

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 […]

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Vision-based precision landing for UAVs

This project aims to develop a robust vision-based precision landing system that enables drones to dock accurately in challenging environmental conditions including rain, fog, and darkness. The system leverages computer vision technology mounted on an ARA-408 drone to identify visual markers on a docking station, calculate trajectory, and execute precise landings when traditional GPS guidance […]

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Research and Implementation of LLM based Autonomous Agent Based on IoT Big Data Environment

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 […]

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Tabular data extraction for financial disclosure analysis

Material Legal Technologies is a full-stack technology based legal advisory service that seeks to streamline the last mile in narrative public disclosure, in addition to developing various technological tools to alleviate friction in corporate governance. This project aims to elevate our existing ML tooling to state-of-the-art in terms of recent research advancement, specifically helping with […]

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Umaneo : Détection de défauts en 3D grâce à l’Intelligence Artificielle

Umaneo : Détection de défauts en 3D grâce à l’Intelligence Artificielle Principales activités du partenaire et avantages escomptés du projet : Umaneo est spécialisé dans le développement de solutions d’intelligence artificielle sur mesure. L’équipe d’experts et d’ingénieurs en IA d’Umaneo intervient à chaque étape du processus, du conseil stratégique à la mise en oeuvre de […]

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3D Point Cloud Foundation Model Project

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 […]

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