Hybrid Architectures for Spoken Language Understanding

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 […]

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Improving Transfer Efficiency and Reducing GHG and VOC Emissions in the Application of Automotive Paint by Monitoring Sprays Using the Mazlite Platform

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 […]

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Multi-QPU quantum algorithms for quantum dynamics simulations

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 […]

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Intersections of HIV and COVID-19 vulnerabilities and strengths among marginalized populations: A mixed methods study

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 […]

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The Unaccompanied Violin Works of F.W. Rust

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 […]

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Training of Neural Networks via Gradient Descent and Solvers

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 […]

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Developing a Data Science Tool for Open Government Datasets

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. […]

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Development of a tele-health rehabilitation system to provide automatic assessment of patients’ performance, improve patients’ adherence and enable remote rehabilitation-Phase I

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 […]

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AltaML Strategic Business Expansion

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 […]

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