To discover how art connects us to our cultural heritage is to understand the world and our place in it. Our content platform, Cilia, is designed to allow visitors to use artificial intelligence (A.I.) based object recognition in order to obtain content about an artwork or artifact. A prototype has been successfully tested with visitors, […]

Introduced Phragmites australis (common reed) is one of the most invasive plants in North America. The weed reduces native plant and animal diversity, disrupts ecosystem processes, and poses a threat to the native North American subspecies of common reed, P. australis ssp. americanus. Conventional methods for controlling introduced P. australis such as herbicides, cutting, and […]

Preliminary data analysis has indicated that many prestressed concrete elements have experimentally determined shear strengths which are substantially higher than the shear strengths predicted by the related provisions in the Canadian concrete design code. While these results represent no risk to public safety, actual strengths which are significantly higher than predicted strengths result in considerably […]

The proposed project is to develop a comprehensive tool for mathematical modeling of the hydraulics and biochemical conversions in the sewer network. This tool will be used for the optimization of the control strategy of the chemicals dosing in sewer networks to efficiently and economically mitigate the harmful emissions, such as hydrogen sulfide and greenhouse […]

Most approaches to intelligent, speech-enabled devices today in the research world involve training neural networks on prohibitively large amounts of examples, with little direct control over what is actually learned. On the other hand, this approach often cannot be applied in real-world settings where the required amount of examples does not yet exist, or the […]

The objective of this project is to help reduce the environmental impacts of automotive painting operation by correlating changes in paint quality, transfer efficiency, and VOC and GHG emissions with droplet size distributions and the spray pattern produced by Electrostatic Rotating Bell atomizers. During the project, data will be collected using the innovative Mazlite platform […]

Quantum computers have the potential to perform computational tasks which are impossible to solve on classical computers. One natural application of quantum computing is to use them for predicting how quantum mechanical systems (e.g., models of quantum magnetism or chemical molecules) evolve in time. However, existing quantum computers – so-called noisy intermediate-scale quantum (NISQ) devices […]

Shawcor aims to be a leader in the development of sustainable pipelines for the clean transport of fluids at expanded temperature and pressure ratings. There is a significant interest in need to expand the specification of their reinforced thermoplastic pipes (RTP) to higher service temperatures and pressures of 100 °C and 1500 psi. Previous research […]

The COVID-19 pandemic has severely affected communities that are already vulnerable to negative health, mental health, and economic outcomes, such as young people of colour and young sexual and gender minorities, including those at risk for and living with HIV. This project will train youth, age 18 to 25 years, from marginalized communities as collaborators […]

Johann Sebastian Bach’s works for unaccompanied violin, collectively titled “Sei Solo,” are cornerstones of present-day classical violin performance and pedagogy. However, fundamental questions remain about how violinists performed these works during Bach’s own time. In tandem with dissertation research at the University of Toronto, Arlan Vriens’ Mitacs Globalink Research Award internship project will address this […]

In Deep Learning, one of the most important determinants of the performance of a model is the training procedure used. The ideal training method produces a model that is accurate and fast, it should work on models of various sizes and be flexible enough to allow users to specify conditions they want the model to […]

In recent years, there has been a rise in the development of interactive AI systems and applications where the user follows a procedure to complete a task, including (instructional) fitness and cooking apps to name a few examples. Most of these efforts focus around video question-answering (QA), where a system is built to answer questions […]