Most collaborations and government departments share their threat data feed in Data Exchange. Inescapably, nowadays with increasing threat data, it is a challenge to extract a large amount of threat data and unify the format more quickly. And as more and more companies join in sharing, the redundancy of this duplicate data will increase dramatically. […]

In today’s world, organizations protect themselves and their customer’s data through the implementation of complex cybersecurity solutions composed of many different nodes, each generating constant streams of data. Building reports from this data through the calculation of various metrics can provide much needed visibility into the state of the environment. However, building such reports can […]

The advent of blockchain technology has revolutionized the perception of modern payment systems. However, in such a system securely managing one’s wallet is a challenging issue. A typical user has access to a suitable wallet software and uses it to authenticate transactions. As wallets generate digital signatures, it requires an access to the private key […]

This project aims to address questions relative to the authoring and specification of interactive media art pieces through the means of domain-specific visual programming languages. These specifications will be called “interactive scores” throughout this proposal. The overall goal is to research and improve usability and ergonomy of software environments dedicated to this authoring task by […]

After 17 months of closure due to flooding and washouts, Arctic Gateway Group (AGG) took over operation of Hudson Bay Railroad (HBR) in September 2018 and reopened 29 washouts in 54 days. Servicing northern First Nations communities and the Port of Churchill, one of the most important aspects of the HBR is safety. As a […]

Traditional drug development strategy is costly, tiresome, and labor-intensive. In the last decade, artificial intelligence (AI) technologies have shown promising results to overcome some of these limitations. However, these computational technologies still cannot efficiently generate novel drugs with expected properties for treating specific diseases. Here we will apply new generation of AI frameworks to design […]

This project aims to produce a prototype low-cost device and accompanying software for taking many measurements of buildings quickly and easily. It is anticipated to have accuracy similar to an expensive surveying tool, but with less possibility of being thrown out of alignment in such a way that it will produce inaccurate measurements. It should […]

While taking foreign language tests, people may record responses with different background noises. The contaminated audios can lead to unusual results in speech recognition and scoring by the scoring systems. Pearson would like to develop a more robust system for the automated speech recognition machine to work with clean and noisy records. Audio files are […]

Surgical Safety Technologies aims to provide healthcare professionals with the opportunity to perform research in areas of surgical performance and education and implement evidence-based solutions to improve patient safety. Search on video content would an ideal functionality to assist with healthcare professionals’ research. This project uses computer vision model to rank the relevance of the […]

Many retailers are interested in forecasting demand for the products they sell. Deloitte has used machine learning methods to tackle this problem in the past. However, this requires the creation of hand-crafted features based on product sales data, which is a costly and time-intensive process. Using alternative models to perform this task would remove the […]

Voice of the Customer (VoC) is how companies hear and listen to customer feedback about their brand, products, and services. Voice of the Customer solutions convert gathered feedback into valuable data and insights at scale. Data-driven VoC analytics programs are proven to increase customer lifecycle value and lower customer churn. Companies in various industries including […]

Everyday millions of customers move through the sales cycles of companies, generating numerous data for potential use. The main objective of the research project is to advance the current state of the art techniques inside the company, with respect to the application of new algorithms on customer behavior data. From a research perspective, access to […]