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 […]

In an effort to build public trust, the Government of Canada has made a commitment to move toward an Open Government, where government data will be easily accessible and shared broadly. For the public to benefit from Open Government sources, they will need tools that will allow them to analyze and interpret the data accurately. […]

This research project is aimed at the development and experimental validation of a new generation of cast steel replaceable yielding links for use in steel eccentrically braced frames (EBF). The cast steel links can be used to make EBF more resilient than the conventional links. Through the collaboration with the industry partner, CastConnex, in the […]

Poor physical recovery, especially in remote rehabilitation, is the problem that will be addressed in this project. This project is Phase I of development of Fun-exercise module. Fun-exercise system uses gamification to boost patients’ adherence to their prescribed home-exercises. To achieve this goal, Fun-exercise will use mentally stimulating and customizable games paired with a set […]

AltaML is a purpose-driven organization, with a mission to apply AI to elevate human potential. We describe ourselves as an Applied AI Studio, meaning we operate as a venture studio for applied AI. We work with large organizations through Corporate Lab engagements, continuously examining different AI use cases and moving the most valuable models to […]

Bronchiolitis is one of the most common causes of infant hospitalization and the costs associated with it are large. Since active treatments are mostly ineffective for bronchiolitis, supportive management (including oxygen saturation monitoring) is the main focus of inpatient management. However, ideal oxygen saturation targets for infants hospitalized with bronchiolitis have not been established. This […]

Electrical stimulation of nerves can be used to restore movements to individuals who are paralyzed following spinal cord injury. Our project is divided into two main parts. The first part aims to combine measurements of muscle and nerve activity evoked by electrical stimulation in order to improve our understanding of the mechanisms involved in nerve […]