The purpose of this research is to develop a solution that uses Artificial Intelligence and Predictive Analytics to Improving the Efficiency in Customer Interactions and Investment Selection.

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 […]

Information gathered from internet sources has high variance and different types of noise. This causes out-of-distribution problems with downstream ML modules such as category classification and keyword extraction. The extremely large size of internet-scale datasets requires a solution that is efficient and scalable. The objective of this project is to develop a start-of-the-art anomaly detection […]

This project examines the feasibility of low-cost evolutionary housing strategies to accommodate changing uses in Canada. It is a partnership between the University of Waterloo school of Architecture and architect John van Nostrand who has developed numerous prototypes for evolutionary housing in Canada and internationally. The research will begin with an analysis of existing prototypes […]

Automated production lines use in food, beverage and pharmaceutical manufacture can subject the product being produced and especially the product packaging to high levels of mechanical stress. These stresses can take many forms, be it impact, side pressure, vertical pressure, etc. Plant quality assurance engineers are constantly making adjustments to their automated systems to reduce […]

This proposal details an approach for evaluating a planned project led by SII called Participatory Cities: a new inclusive, system-based approach to stimulating and supporting dense networks of practical ‘participation culture’ in cities around the world. With proof of concept developed and tested in London, UK, by the Participatory City Foundation, the model will now […]

Development of selective drug delivery agents that target tumor cells with minimal toxicity to normal tissues is a major challenge in cancer therapy. Non-toxic bacteria can be used to target solid tumors because, within a patient’s body, they can only be active at a tumor site (where oxygen levels are pathologically low). Prior attempts at […]

Ce projet s’inscrit dans la grande famille des projets de systèmes de recommandation, où un algorithme doit recommander aux utilisateurs des produits ou des documents qui seraient intéressants pour eux, basé sur ce que nous connaissons de l’utilisateur et sur sa session de recherche actuelle. Coveo a déjà des modèles de recommandation en place, dans […]

Automation of processes is becoming more popular within logistics and material handling industries. As the amount of transferred objects grows there is a continuously increasing need for high efficiency, reduce cost, and of course reliability. With this project, we are utilizing the latest machine learning technology to improve the automation rate to a new level. […]

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 […]

In 2014, the dams of Treaty #3 territory were overwhelmed by major continuous snowmelt and rain, causing mass flooding throughout the Rainy-Lake of the Woods watershed. To mitigate the damage that would be dealt to the Indigenous communities of the watershed by such events in the future, we will use remote sensing technologies and GIS […]

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 […]