Diverging from the GPUs: The case for alternative architectures for training ML algorithms

Machine learning has ushered many breakthroughs in areas such as computer vision, natural language processing, speech recognition, and recommendation systems. The models used in these applications contain many parameters that need to be learned and training often requires massive amounts of computation. As such in recent years graphics processor units (GPUs) have seen wide adoption […]

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Innovative tools to improve knee health and predict an athlete’s risk of anterior cruciate ligament (ACL) injury

Anterior cruciate ligament (ACL) injuries are one of the most frequent injuries among athletes. Currently, the only way to predict an individual’s risk of incurring an ACL injury is through prohibitively expensive motion analysis laboratories. There is a critical need to develop novel tools that improve knee-health and are well-received by the athletic community. This […]

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Next generation membrane electrode assemblies for high power density fuel-cells for heavy duty zero emission vehicles

The proposed project involves pre-commercial research and development for a BC-based Zero Emission Vehicle (ZEV) product, including: i) development and characterization of novel materials – transport layers in the (MEA) of high-power density PEM fuel cells; and ii) establishment of standardized material testing protocols/procedures to be injected into Ballard’s next-generation products, targeted at the heavy-duty […]

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In vitro evaluation and understanding of fabrics interaction with skin cells and dominant skin microbiome: a concurrent material degradation and health implication

Textile industry has been revolutionized over the years with inventions and creative innovations on fabrics to improve performance, comfort and durability. Developing such high performance and durable textiles without compromising human safety is a major challenge. This project will investigate the interactions between fabric systems with human skin and major skin colonizing bacteria. In addition, […]

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LeddarTech: Détection et suivi d’objets pour la conduite autonome à partir de données Lidar et caméra fusionnées

LeddarTech, acteur de premier plan des solutions de détection environnementale pour les véhicules autonomes et les systèmes avancés d’aide à la conduite, propose l’utilisation d’un capteur Lidar (i.e., Pixell) conjointement avec d’autres capteurs (caméras optique, Radar, IMU, etc.). Le but de ce stage serait donc de vérifier (1) l’intérêt de l’utilisation du capteur Lidar pour […]

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Adaptive Biofilm-Based apparel (ABBA)

Consumers are becoming increasingly interested in “smart” clothing with advanced properties that can enhance their comfort and performance. The next-generation of “smart” textiles can be fabricated by integrating living cells into the textiles that make up our clothing. For users of fitness apparel, living cells can endow clothing t-shirts or yoga pants with the ability […]

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Wave Rotor Reformer

Hydrogen offers the potential to decarbonize much of our society from clean transportation, to heating homes and businesses, to manufacturing. However, it must rely on a production method that does not release carbon itself. Steam methane reforming, the most common production method today, releases large quantities of CO2. The present project will study the production […]

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Development of a low-cost tool for skin cancer screening

The proposed research project is intended to develop an educational tool for the general public to be able to perform self-screening of their skin lesions. For this, a melanoma-detection mobile application will be developed to analyze lesion images acquired using a low-cost dermoscope attached to a smartphone. This product helps public or students to learn […]

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Smart empathetic speaker based on real-time EEG-based music therapy

During COVID-19 outbreak, many people are suffering the negative emotions, causing anxiety, fear, and depression in daily life. To improve the individuals’ mental health, musical therapy will be employed due to its high value of treatment in the mental health field. In our project, a smart empathetic speaker based on real-time emotion recognition system will […]

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