Ce projet de recherche vise à mieux comprendre comment des orthèses de genou personnalisées peuvent aider les adolescents à prévenir les blessures graves au genou, notamment la rupture du ligament croisé antérieur (LCA). Ces blessures sont fréquentes chez les jeunes sportifs, surtout lorsqu’ils présentent un désalignement du genou appelé “valgus dynamique”. En s’appuyant sur des […]

The use of orbital angular momentum (OAM) for free-space optical (FSO) communications is almost unexplored. The proposed research will investigate the bit-error rate (BER) performance of FSO systems using OAM. The analysis will begin by considering the ideal case of separable OAM-modulated FSO system performance, to be followed by the individual and combined effects of […]

Boson AI is dedicated to advancing cutting-edge AI research, specializing in large language models for interaction and entertainment. The company focuses on developing innovative AI-driven solutions that enhance human-computer interaction, particularly in speech and language processing. One major challenge Boson AI aims to address through this project is improving AI’s ability to detect subtle emotional […]

Boson AI specializes in AI-driven simulation and optimization, focusing on multi-modal learning, generative modeling, and structured state-space architectures. The company develops AI models that integrate text, audio, and structured signals to enable high-fidelity simulation and synthesis across domains like speech processing, acoustics, and human-AI interaction. Through this project, Boson AI aims to address key challenges […]

Trust Your Talent Academy, as the largest financial education academy in North America, offers a comprehensive curriculum to empower individuals with the knowledge and skills to achieve financial independence. The organization’s rapid growth and its mission to elevate human potential require a more robust and innovative approach to social media marketing and digital content creation. […]

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. […]

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 […]

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 […]

The proposed project aims to develop a wearable biosensor for real-time monitoring of critical cardiovascular disease (CVD) biomarkers, such as C-reactive protein, Troponin I, and Myoglobin, along with physiological parameters like heart rate. The biosensor will achieve high selectivity and durability by utilizing molecularly imprinted polymer (MIP) technology. The intern will collaborate with Professor Joseph […]

This project investigates how menopause influences brain function by comparing blood flow in pre- and post-menopausal women. Estrogen plays a crucial role in protecting the vascular system; however, as women transition through menopause and estrogen levels decline, the risk of diseases such as stroke and vascular dementia increases significantly. I will conduct research at Bangor […]

This project aims to characterize and analyze the Community Health Dataset using AI techniques. This dataset, sourced from the Cambridge Community Services Trust, contains electronic health records (EHRs) of 111,317 children and young people aged 0–18 years, covering the period from 2007 to 2021. The significance of this project lies in several key aspects: (1) […]