Contemporary society faces a number of information processing challenges. As human lives and digital technology are increasingly connected, our understanding of how we process information and make decisions must keep pace. Philosophy can help with challenges like AI development or fake news by clarifying what we mean by concepts like “knowledge” or “fact”. This project […]

Cancer cells can be expanded and studied alone outside of the body in two-dimensional plastic dishes. These simplistic conditions lack the genetic variation and complex signals found in human tumours that tell cancer cells to grow uncontrollably and spread throughout the body. To effectively identify the signals that fuel breast cancer spread and develop clinical […]

Recent research studies have pointed to sleeping on the back in late pregnancy as possibly increasing the risk of serious problems pregnancy such as low birth weight and delivering a baby that died in the womb (stillbirth). However, because it is impossible to completely and accurately recollect one’s body position while sleeping, these studies are […]

The proposed research seeks to learn more about the ways Sponsorship Agreement Holders (SAHs), collaborate with Constituent Groups (CGs) and Co-sponsors to sponsor refugees to resettle in Canada. For this project, the Canadian Unitarian Council (CUC), will be used as a case study. Given the limited capacity and resources that SAHs have available to them […]

Neural Networks play a key role in many modern technologies such as self-driving cars, drones, malware detection, and face recognition. For each of these technologies security and reliability is paramount. Unfortunately, researchers have shown that it is possible to reliably fool the neural networks behind these applications. Which makes identifying the best methods to defend […]

Extreme conditions in Oil and Gas industry often impose conflicting demands for the optimum mechanical properties as well as long term corrosion resistance. The internal and external side of the pipeline are usually exposed to different environments and are required to possess different characteristics. It is difficult to find a single material to satisfy all […]

Blees AI is an educational innovator who believe in transforming and improving the teaching experience and in turn positively impact students learning and maximize their potential. The goal of this project and the company is to provide a complete version of the software platform to the educators to assist their essay grading. Blees AI’s client […]

To ensure high performance for AMD’s graphics cards, the company performs extensive testing on computer game titles. Most gameplay testing is done manually, which results in significant effort and cost expenditure. Thus, this project’s objective is to develop a program capable of learning to automatically play a modern video game. Rather than aiming to optimize […]

The project aims to study the use of advanced machine learning algorithms to enhance the ability of TRCA to detect shoreline erosion. Accurate detection of shoreline erosion will have significant contribution to optimizing TRCA asset management plans. This will enable TRCA to work with local communities to reduce the impacts of climate change on shoreline […]

This research will investigate the chemical content in the furniture sold by Teknion. The presence of chemicals of concern and their associated potential human health risks will also be determined using guidelines approved by Health Canada and other jurisdictions. The findings from this research will enable Teknion to formulate evidence based guidelines for reducing their […]

Accurately recommending items of interests is essential for users to improve their experience. To acquire better performance, a recommender system can utilize multiple sources of data and the social knowledge graph. This can lead to efficient use of information to improve the recommender system. By exploring the data and extract crucial features to feed to […]

In this project, we would like to study the problem of object manipulation in a real-world scenario. We assume three major settings in the environment – the object is non-rigid, oniy offline dataset is available and the input is high-dimensional images which are hard to be handled by classical control models. Recent successes in deep […]