In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One […]

Occupational stress conveys risk of Posttraumatic Stress Disorder (PTSD). In PTSD, early diagnosis and early treatment interventions are advantageous for positive outcomes. We will develop novel technology for early diagnosis of and prediction of vulnerability to PTSD in military and first responder personnel. Based on our existing collaboration on identification of symptoms and prediction of […]

Compilers are large software projects consisting of many separate but common components like code generators, garbage collectors, and runtime diagnostic tools, to name but a few. Historically compiler developers have had to write each of these components from scratch. The Eclipse OMR project was created to provide generic components for use in new compilers and […]

Reinforcement learning (RL) is a type of machine learning that focuses on allowing a physical or virtual agent to complete sequential decision-making tasks, such as video games. It has had many successes, but can be slow in practice, requiring large amounts of data. This project aims to speed up such learning problems by leveraging information […]

The Canadian Institute for Military and Veteran Health Research (CIMVHR), affiliated research partners at universities across Canada, and IBM Canada Ltd. have identified a significant and universal issue facing health researchers that applies to Canadian military, Veteran and family health (MVFH) research and health research for the Canadian population at large. Comprehensive and complete medical […]

We seek to replace or enhance the traditional underwriting approach (namely identification of insureds via a pre-defined fixed set of risk criteria) with one based on a set of dynamic protocols that are responsive to human behavioral factors for continual health improvement. We seek to provide a live and interactive in-market research dataset that can […]

UppstArt is a blockchain-based system for arts e-commerce. UppstArt integrates Ethereum blockchain to handle the online sale of art. UppstArt allows buyers to track the ownership provenance of artworks and resell their purchases any time. UppstArt also allows artists receive a royalty percentage every time their artworks are resold (Pending Canadian Legislation Artist Resale Rights). […]

Model-free Reinforcement Learning (RL) has recently demonstrated its great potential in solving difficult intelligent tasks. However, developing a successful RL model requires an extensive model tuning and tremendous training samples. Theoretical analysis of these RL methods, more specifically policy optimization methods, only stay in a simple setting where the learning happens in the policy space. […]

MatchWork enables non-profit employment support organizations to support marginalized people to find meaningful employment opportunities. This includes people with physical and mental challenges, veterans, new immigrants and refugees.

Machine learning approaches are transforming fields such as finance, healthcare, electronic commerce, social networks, and natural disaster forecasting. We propose collaborative research that develops novel methods and applications of machine learning techniques for event prediction, modeling relations between entities, and inference techniques that can impact these domains. In the context of event prediction, we will […]

The Restorative Action Program (RAP) is an incorporated, community-based initiative that provides support to students and staff within public and Catholic school systems, to address conflict and bullying through conflict management and leadership development. The organization has been in existence since 2003 and is currently serving approximately 9,000 students per year and growing. The addition […]

Bioinformatics is at the intersection of computer science, mathematics and biology. With the advent of new technologies, more and more genomic data is being generated. A common task for analysing such data is to visualize it in an interactive way that highlights the results of computational analyses. In the past 5 years, Web browsers have […]