The project aims to improve the amount of labelled samples in a semi-automatic or automatic manner using AI to impove a CNN performance. We will test various state-of-the-art AI methods, in the context of forest inventory, and select the most effective ones. The benefits will be significant because labelling is an important but tedious task, […]

Integration of an ontology for the representation of restaurants, menus and dishes for the catering industry and construction of a recommendation model using this ontology.

Innodem Neurosciences is developing a visible light gaze-tracking algorithms that can be sued to predic a user’s gaze position on the screen of a mobile device without the need for any third-party hardware. This algorithm leverages various image processing techniques, and relies on the use of convolutional neural networks and computer vision. Enhancing the quality […]

The project aims to identify the plausible scenarios or outcomes of the Covid-19 pandemic associated with the City of Toronto. It will provide insights into how the pandemic is to impact the labour market and organizational operations in various industrial sectors. These insights will support ongoing efforts to revive the local economy and in developing […]

Borealis AI has access to a huge amount of financial data related to the stock market and is interested in leveraging recent developments in machine learning to better understand this data. Some potential questions emerging from this data are: (1) Given the closing price of a stock in the recent months, can we predict the […]

This project will identify the necessary components for a high-quality mentorship program for workers in the Ontario manufacturing industry. Through review of existing mentorship programs, interviews with mentors and mentees, and a job analysis procedure for the mentor role, this research will assess the mentoring needs of manufacturing workers. The project will produce a task-based […]

Canada is a signatory to global commitments to reduce greenhouse gas levels and one important way this will happen is through the implementation of nature-based solutions for climate change. One example of natural climate solutions is GHG offsets based on restoration, protection and establishment of forests, wetlands, grasslands and peatland areas. Indigenous Peoples are critical […]

Polyurethane elastomers for consumer applications, are developed with primarily bio-based polyester-polyols, isocyanates and bio-based plasticizers which are specifically tailored to result with the required mechanical, flexibility, and biodegradability characteristics useful for consumer applications, especially for footwear and foam products for furniture and automotive industry.

The conventional utility pole design methodologies used a decade or so ago produced poles that would be considered “safe” but in most cases they were not cost-effective solutions. This is because the resulting poles were usually over-designed, mainly due to several simplifying assumptions and incorporation of various rules-of-thumbs in the design procedures. Such design practices […]

Three out of five Canadians with dementia wander, raising concern as to how it can be managed. Strategies, such as GPS, offer options for finding missing persons with dementia and may be a preferred strategy by police. As part of the Finding Your Way® Program with the Alzheimer Society on Ontario, a series of education […]

The goal of this porject is to develop a prototype system for human presence/activity detection through radio frequency signals. There have een some recent promising results reported in the literature regarding such detections through WiFi signals using artificial intelligence-based approaches. The postdoc will focus on reproducing earlier results, then move on to enhance the system […]

To increase the speed at which companies can develop robots we plan to create a package containing a number of key path-finding programs which can be easily connected with any robot. This will make it easier to produce both commercial and experimental robots without the need to create a path-finding program unique to the robot. […]