NLP techniques have been used and tested for several years in different environments and for different applications/domains. The performances of the Natural Language Understanding (NLU) toolbox are closely related to the quality of the text but also on the specific knowledge-domain. Social Media content typically use short sentences with simple grammar and tend to include […]

Exonetik designs, develops and manufactures magnetorheological (MR) actuator systems that enable novel functionalities to satisfy unmet customer needs. In collaboration with Exonetik engineers, interns will participate in the design, development and testing of customized magnetorheological actuators for three specific applications in the automotive, manufacturing and health sectors. The expected results of these subprojects will be […]

This research project aims at creating a robust, efficient and reliable conversational agent for the banking domain that will offer a high level of performance in both key areas of conversational agent architecture: Natural Language Understanding and Response Generation. Natural language understanding approaches, retrieval-based models, as well as deep learning will be used to develop the […]

This project will lay a foundation for Interior Savings Credit Union to better serve their membership by providing them with the means to discover significant membership groups within their large and complex database. This will be done through a combination of developing novel statistical techniques to discover the groups and writing the computer code needed […]

This research will use a brain imaging device newly developed by Axem Neurotechnology to investigate whether providing real-time information on levels of brain activity can help human participants more effectively engage in mental practice. Mental practice has become a widespread addition to the training schedules of elite athletes, as it has been well documented that […]

In order to grow into healthy, successful adults, children need environments that support their physical and mental health, engage them in learning, and help them to develop social skills. Out-of-school programs are one kind of support that can help shape children’s futures in a positive way. Out-of-school programs are provided outside of regular school hours […]

While agricultural migrant workers provide much needed labour in Canadian agriculture, they feel alienated from the host society. Their alienation and exclusion is related in part to the working and living conditions migrants experience in Canada. In addition, we propose to study how such factors as the architectural designs of the towns where migrant workers […]

Providing high quality healthcare service is important in a society not only for the patients but also for their families and friends, who devote time to take care of their loved ones. In order to meet the healthcare demands of citizens, especially for the baby booming generation, an increasing number of long term care facilities […]

Manual contract analysis and management is a laborious task. dTrax is Deloitte’s managed solution to this problem—it uses machine learning to automate the arduous contract management process and help users gain further insight from contracts. Specifically, dTrax will be used to standardize the intake of legal contracts, generate and edit contracts within a web interface, […]

A helmet and its components such as chin strap are designed, tested, and certified for compression force only while neglecting sharp twisting of the brain. The goal of this project is to develop and integrate a Force Sensitive Mechanism (FSM) to a chin strap of a football and bicycle helmet. FSM offers a controlled tightness […]

Piezoresistive strain sensors respond to a mechanically induced deformation with a change in their electrical resistance. Large strain flexible strain sensors have been adopted for numerous applications including rehabilitation, health and sport performance monitoring as well as physiology and kinesiology applications. Although development of these flexible strain sensors has reached a level of maturity, design […]

Convolutional neural networks (CNNs) are expressive function approximators that play an important role in solving modern computer vision tasks, such as object recognition, and even summarizing images in natural language. Given their broad utility, CNNs have already been deployed in performance-critical systems, such as autonomous vehicles. Unfortunately, these models are vulnerable to subtle perturbations of […]