Due to some complex technical problems, both power plant’s generators and local grid transmission lines do not have the potential to generate and transmit enough electricity to cover and meet all load demand during peak hours. Based on this technical difficulty, there is no solution for customers to use costly energy during peak hours and […]

Multi-stream execution is a technique in GPUs that allows multiple operations/kernels from the same program to effectively use GPUs without explicitly stating the affinity of threads to the cores. Several recent optimizations in Machine Learning (ML) algorithms leverage multi-stream execution. While performance modeling of ML applications is well studied under single-stream execution, performance models of […]

Histology studies the microscopic anatomy of biological tissues, which is critical to clinical disease management and fundamental to biological understanding. However, current approaches that rely on bright-field microscopy require extensive issue preparation prior to imaging and may thus take days. Photoacoustic remote sensing, or PARS, can dramatically reduce the histology bio-imaging time from days to […]

At St. Michael’s Hospital (SMH), having insight into patient flow throughout the hospital is essential to resource planning and operational efficiency. When patients are admitted, discharged, or transferred in the hospital, several actions need to be taken to ensure patients receive timely care and resources do not become backlogged. Improving patient flow reduces wait times, […]

The constrained vehicle routing problem is a typical optimization problem with many real-life applications, such as last-mile route planning for delivery services. The goal is to find the optimal routes for a set of vehicles to deliver all the packages, such that the time and cost of delivery is minimized, sometimes with additional constraints such […]

The intern will first determine which one of the two modules in the Ubiquity product is more likely to be improved using the machine learning and deep learning methods, and then implement the proposed method or research on other methods. To improve the sensitivity of the pricing and promotion module towards the small price changes, […]

Organizations across various industries struggle to deliver personalized offerings and expanded access for target populations. Developing sub-population profiles will help identify priority sub-populations with the greatest potential to benefit from personalized support and intervention, and inform the development, targeting and delivery of personalized offerings. The objective of this research project is to enhance Deloitte’s Market […]

ESGTree is an Environmental, Social, Governance (ESG) data management platform for investors and corporations. Collecting, aggregating, and reporting ESG data is painstakingly inefficient for private capital investors. The ESGTree platform sets up individual client systems in a way that it will cater to all their investors and all the standards they need. The project ESG […]

The Rescue Lake Simcoe Coalition would like to expand the demographic reach of our organization in order to better represent the Lake Simcoe community. The people who care about Lake Simcoe are a diverse set. There is a need to broaden our tent by making our messaging more appealing to more demographics. Those include fishing […]

The project consist of analyzing the emerging approaches for policy-making and regulation of global online video service providers in Argentina and Canada. Some of the ongoing discussions on how to address them follow the European approach, after the enactment of the 2018 Audiovisual Service Directive. Measures such as content quotas, financial contributions and prominence obligations […]

Many conversational agents blend the functionalities of question-answering and chit-chat into a single system. This lays the foundation for a more interactive type of question-answering models which is the primary focus of the research project. Interaction between a user and the agent allows the user to ask an underdefined or ambiguous question, and, instead of […]

Modern visual effect films rely on photorealistic, believable, synthesized humans and characters. Often these characters are used as stand-ins for the hero character in a film and are referred to as digital doubles. In the past, digital doubles have been limited in use due to cost or complexity. As the demand for the use of […]