One assumption that is commonly used in machine learning is that samples are statistically independent. In effect, each sample of data doesn’t tell you anything about any other sample in the dataset. This is not true for all types of data; there are some types of datasets where relationships between samples can be modeled as […]

Road safety affects everyone, and companies are looking for ways to identify the risk factors for their fleet drivers, and to reduce the chance of accidents. This project will build on Geotab’s existing methods for assessing driving risks, and develop new techniques to better identify risky drivers and risky behaviours. The project will focus on […]

Companies spend a large amount of money and time on mobile application development which requires knowledge of various native platform programming languages and the different characteristics of these platforms. However, demands for mobile applications are increasing and are becoming difficult to follow for the IT department. One solution seems to be no-code development platforms that […]

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data collected from over 2 million connected vehicles, there is a great opportunity to leverage big data and machine learning to establish a minor collision detection system. On top of driving data and environmental data, it also contains machine diagnostic […]

One of ten Canadians will experience trauma at least once in their lives and will develop post-traumatic stress disorder (PTSD). Many people cannot access PTSD care because of the high cost, long-waiting time, stigma and other barriers etc. Amygdala (deep brain) is important to traumatic emotions and memories. One way to access these memories is […]

Over the past few years, the abilities and performances of deep-learning natural language processing (NLP) have evolved dramatically. A main reason for those improvements is the scaling of the number of parameters in models to tens or hundreds of billions. However, it also becomes impractical to deploy those models in production as the computation cost […]

Autonomous unmanned aerial vehicles (UAVs) are receiving significant attention in many communities, including academia, industry, and consumer electronics. SOTI is the world’s most trusted provider of mobile and IoT management solutions and its new aerospace division, SOTI Aerospace is focusing on hardware and software systems to support self-navigating situationally aware aerial drones. This project belongs […]

Intelligent tutoring systems (ITS) are computer programs powered by artificial intelligence that can automate the tutoring process. They have the potential to provide low cost and highly scalable one-on-one tutoring to students around the globe in real-time. Their continued improvement is exciting for the future of education, and should be encouraged. Recent years have seen […]

With quantum computers which are just starting to hit the market, today’s encryption methods will soon become obsolete. In order to ensure an unconditionally secure data storage/encryption, communications will have to rely on a technology making use of the laws of quantum mechanics. The present MITACS application proposes to build the prototype of an optical […]

This study builds upon work to define the decision process firms use in deciding to move their IT Services work to less urban regions such as Atlantic Canada. This Mitacs project seeks to build upon this work and analyze the ancillary benefits of such projects within the community (beyond the direct economic benefits). Policy objectives […]

Currently, data analytics services are not only expensive, but also often require days of delay for the data analytics report to be generated. The project focuses on making use of a user’s voice query as an input to create a data analytics response by aggregating data from a database. The successful implementation of the project […]

The existing approach to building Machine Learning models includes gathering all the data from customers in one place and then running the training procedure using it. However, there are no guarantees personal data won’t be leaked by the one training the model. So, the customers face a difficult decision of either allowing companies to gather […]