StreetLab Visual Scenery

Hearing loss affects over 1/2 of Canadians over 65 years of age. Remarkably, however, hearing aid adoption rates have remained stable and very low (20-25%) over the past 25 years. This is particularly surprising given the significant, concomitant advancements in hearing aid technologies within the same timeframe. In attempting to identify the causes of dissatisfaction […]

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Semantic Matching Applied to Relationship Matching

The on-line dating industry currently has over 1400 different sites, including known sites such as eHarmony, Match.com and LavaLife, however, research indicates a general dissatisfaction in the quality of relationship matches generated by these sites. The research proposal will investigate the use of new semantic technologies in providing a higher quality matching service. The commercial […]

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Managing Shared State for Video Games in a Networked Multi-core Environmen

Video Games require a vast array of different computations to present the desired experience. These computations must be completed consistently to make the software responsive to the user. The industry trend towards many separate processors (multi-core) in the same phYSical device and the emergence of network based ‘cloud’ computing have created many opportunities, but also […]

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Optimization of task sequencing and allocation

Nowadays, software projects are no longer isolated but drive the business process of many non-IT companies. With the rise of AI applied in many industries, the problem of optimally scheduling tasks and allocating proper resources has significantly increased the challenge because of the diversity of tasks and stakeholders in the project. Due to the large […]

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Real-Time VLT Player Data Personae Classification

The goal of this project is to train a machine learning model that can identify player’s personae using VLT (Video Lottery Terminal) data within a transactiontime limit. The personae are results of the previews MITACS project. Using unsupervised learning each playing session was associated with a playstyle. Identifying the playstyle as soon as possible is […]

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Efficient edge inference benchmarking for AI-driven applications

Deep learning (DL) algorithms have achieved phenomenal success in different AI applications in recent times. Training DL algorithms require huge computational resources. Therefore, cloud or high-performance computing at the edge are obvious choices for this task. However, during inference cloud computing is not a suitable choice because of latency issues. There are billions of devices […]

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Development of a breeding database for the application of omics technologies in canola variety development

Next generation plant breeding requires bringing together many different types and sources of information about different plant varieties, including their genetic information together with how well they grow in different environments. The best ways to organize and integrate these sources of information within a plant breeding program is not well known. In this project, we […]

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Temporal soft clustering for profiling and predictive analytics in elderly care homes

Nxtgen Care provides monitoring services for elderly care homes across North America. Their product provides detailed analysis in visual formats to understand the resident’s requirements and directing care in that direction. To meet this goal, voluminous data is collected from the various activities of the residents. Through this project, this data is processed and directed […]

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Parking Utilization Assessment Using Deep Learning

Analyzing parking behavior and usage in large open-concept retail centers enables owners and managers to better understand how their parking facility is being used. Most large, open-concept shopping centers are experiencing a parking oversupply problem. Current parking allocation is inefficient and contributes to urban sprawl, large concrete pads that trap solar heat and a waste […]

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Development of an Al first molecular database to accelerate drug discovery

Using simplified language understandable to a layperson; provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. {100 – 150 words) The project aims to develop a molecular compounds database to accelerate drug discovery. Compounds shared by chemical providers […]

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