“Trustply Tech Ltd.” will control the overall users’ acceptance process using this research project in a step-by-step manner, rather than “trial and error” way of dealing with users. This project allows the company to invest on its development efficiently, by targeting proper users with effective approaches. While implementing different versions of this social platform, the […]

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 […]

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 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 […]

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 […]

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 […]

Machine Learning has just started to be applied to the Legal Domain. ROSS Intelligence makes it possible for legal professionals to work faster and more effectively. Advanced Recommender Systems have not been previously applied in the Legal Domain. Yet state of the art models such as ones using Deep Collaborative Filtering have proven to be […]

The proposed research aims to find a solution to the connectivity of the massive number of devices that are essential for the monitoring and regulation of power generation and demands in power grids. Power grids present specific challenges that the intern will take into consideration and seek to propose solutions to the connectivity and security […]

The research will consist of exploring a new language as well as a new paradigm shift in the orchestration and analytics involved in operating a Fiber optical infrastructure equipped with IP routers and Computers. These computers will be equipped with programmable devices that will allow further instructions and detailing about the next generation of internet’s […]

Municipal governments and urban centres across Canada are being inundated with data—data that have potential to improve public service. Despite this, local governments do not have enough data expertise to extract insight from these overwhelming datasets. Simultaneously, high-quality personnel (HQP) in the domains of data science and urban analytics lack opportunities to work closely with […]

The objective of the project is to investigate how machine learning techniques can be used to detect anomalies in volumes of transactions. This requires the student to conduct a literature review about the topic as well as experimenting with a subset of selected machine learning techniques. The results from the research could help the partner […]