Lifelong learning for service robots

Traditionally, software for home products could not be changed once they were shipped. Furthermore, they could not run complex machine learning (ML) models because their computing and storage capacities are limited due to budget constraints. Recent advancements of cloud infrastructure, however, may allow such products to collect a large amount of data and continuously update […]

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Cross-Modal Recipe Retrieval

The goal of cross-modal recipe retrieval is to design systems that are able to find a digital recipe, given the user’s image of the food, or find its image, given its ingredients or cooking instructions. For such a cross- modal retrieval task, a common image-text representation space is needed to embed the semantic information of […]

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Advancing Gender Equality for Women in Venture Capital – Part 2

Women are vastly underrepresented in venture capital (VC) firms. There is also a lack of women entering the field of venture capital due to systemic barriers and a lack of momentum to shift existing barriers for women to enter the venture capital world. This research aims to understand the current status of women in VC […]

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Neural Networks for Observable Market Data Validation

Observable Market Data is critical for effective valuation of trades for risk management purposes within the investment bank. The valuation process requires the existence of good quality data day by day, and dating back into the mid-2000’s. Not all assets have highly liquid data available either historically or at present, and there is significant interest […]

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Machine Learning Techniques for Speech Enhancement in Audio Conferencing Systems

The core value of Nureva is to provide reliable and easy-to-use audio-conferencing products that offer a good user experience and maximize productivity. A very important factor of that is to output clean audio which oftentimes in its raw form is contaminated with environmental noise, reverberation, and echo. These problems have been researched using traditional signal […]

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Mining Governance Programs

With the overall goal of reducing the risk of costly and dangerous mining tailings failures, Enviro Integration Strategies (EIS) consistently identifies and evaluates risks, supports compliance with global management standards, and the production of transparent performance disclosures, helping mining executives make safer decisions. To meet an overwhelming demand for consulting services to develop ESG risk […]

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Electrochemical reduction of carbonate and bicarbonate to ethylene

Climate change is one of the most urgent and pressing issues facing society. In order to meet aggressive greenhouse gas emission targets, the removal of carbon dioxide from the atmosphere (known as Direct Air Capture, DAC) is required. However, once captured, the CO2 must be purified from the capture solution before it can be used […]

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Deep Learning with Big Data for Innovation Acceleration

Xlscout has developed/launched many products like Automated Novelty Checker, Techscaper, Company Explorer, NLP enriched Landscaper, etc. The primary objective of this project is to continuously add new functionalities to the existing novelty checker module of Xlscout and also develop new innovative products/features that help in automating research & development. This project is important to XLScout […]

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Dynamic Door-to- Transit Station “Shared” E-Taxi Serving Smart Community

While electric vehicles (EVs) are generally viewed as non-polluting and environmentally friendly, EV utilization brings other concerns such as: range anxiety, battery charging issues, cost of electricity, and network overload. Furthermore even though EVs are better for the environment in comparison with the traditional vehicles powered with internal combustion engine, they are still vehicles on […]

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Electromagnetic Signal Detection Application Development

Magnestar is developing the electromagnetic capabilities and an operator community application to enable space assets to work more efficiently, and sustain operations through solar flares, regolith contamination, signal interference and space debris collision to increase the longevity of asset life. This Mitac BSI project proposal is for the co-op students to assist in the innovation […]

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Co-designing and Communicating Equitable and Transformational Climate Actions

In this Mitacs project, the BSI intern will work with the University of Toronto’s Urban Climate Action Project (UCAP) and with Social Innovation Canada to distill and build on insights gleaned from jurisdictional scans, environmental reports, and other outputs produced by the University of Toronto’s Sustainability in a Living Lab course cohort and previous ones. […]

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A Ranking Method: The Top Integrated Energy Generation/StorageTechnologies (Building and Community Scales)

Analysis of the best performing technologies will be conducted relative to the areas of buildingintegrated energy generation and storage of such energy at the building/community scale.Relevant product and other technological literature will be collected and various areas of performancewill be used for comparison. Such metrics of performance for generation/harvesting technology willinclude (but may not be […]

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