This proposal focuses on enhancing the automation of induced pluripotent stem cell (iPSC) culture by integrating Machine Learning (ML) models which will lead to more consistent and higher quality cultures. Recently, STEMCELL Technologies has introduced an automated system customized to assist scientists at BC Children’s Hospital Research Institute in culturing high-quality iPSCs. The current method […]

The design and fit of sporting equipment play a significant role in an athlete’s comfort, performance, and injury risk. The case is similar for hockey skates, where inter-individual variations in foot shape and sensitivity can influence skate comfort and fit, and subsequent performance. Hockey skate design is further challenged as skates need to function in […]

Encycle Therapeutics is a Toronto-based company that develops new therapeutics for the treatment of autoimmune diseases. Our competitive edge derives from a platform technology that allows for the more efficient synthesis of macrocycle- (ringlike peptides) based therapeutics. This platform involves a proprietary reagent called aziridine aldehyde. This new technique has demonstrated significant potential for the […]

The goal of this project is to fabricate biocompatible, magnetic inks for 3D printing of structures that offer controlled motion by weak magnetic fields for various medical benefits such as increased imaging contrast, magnetic guidance and positioning of the structures. This has potential applications in regenerative medicine, such as smart implants, 3D printing of tissue […]

Back-support exoskeletons (BSEs) are wearable devices designed to assist and enable human motion for workers in various industries ranging from manufacturing to construction. As with workers in other industries, the opportunity provided by BSEs for construction workers is to reduce injury rates for the benefit of worker health and productivity. Potential risks also exist, including […]

Hate speech and toxicity pose a serious threat in online spaces, particularly for marginalized communities. Detecting and preventing harmful speech in online games is challenging, and current methods lack transparency and reliability. To address this issue, this project aims to develop a robust and trustworthy toxicity detection model for in-game chat. On the robustness side, […]

Afin d’aller plus loin dans ses pratiques écoresponsables et pour pousser son innovation vers une zone moins conventionnelle, Premier Tech souhaite démarrer l’opérationnalisation de l’écoconception dans ses groupes Premier Tech Systèmes Automatisés (PTSA) et Premier Tech Producteurs et Consommateurs (PTGC) et pour suivre la ligne tracé par Premier Tech Eau et Environnement (PTWE). Le projet […]

SunCo Sunspaces was founded in 1999 by three individuals familiar with the sunroom industry in Manitoba who wanted to bring back traditional values. We currently have our main sales dealership entitled Backyard Paradise by SunCo and 3 other dealerships across Manitoba and western Ontario. SunCo currently employs 19 employees and subtrades on a regular basis. […]

The proposed project focuses on feasibility and design analysis of an innovative user-centric product for making recycled 3D printing feedstock. The support of this program will allow Shifting Shap3s to advance its R&D process and get one step closer to commercialization. Successful completion of the project will not only contribute to a more sustainable and […]

An important component of modern video games is the non-player character (NPC), moving entities in-game that are not controlled by a human, which may cooperate with, oppose, or otherwise interact with the player. For an NPC to interact with the game word it must often perform complex tasks that are difficult to program explicitly. Research […]

The rapid evolution of video resolution has significantly increased the video bitrate requirement, making data transfer a challenging task for data-intensive applications like video conferencing, cloud gaming and game streaming. With the rise of machine learning, studies have shown the potential of embedding conventional video compression algorithms with AI-based methods to enhance their performance. This […]

Modern compilers have increasingly large number of complex optimizations to meet the prevalent demand of using Machine Learning (ML) and Artificial Intelligence (AI) in gaming and other applications. Optimization passes are program and architecture depend. Therefore, selecting the best optimizations in the most optimal ordering is a difficult task. While leveraging ML methods in compiler […]