Peer publications in the healthcare are many and held in silos. For researchers, the accessibility and utility of such publications can be problematic for a variety of reasons. Open access publication has addressed some of the issues, but the silos remain an issue. Electric Effect will provide a technology platform that breaks down the silo […]

AL amyloidosis is a rare protein disorder that can be often fatal if it is not diagnosed and managed early. This disorder is caused by misfolding of proteins that clump together and form amyloid fibril deposits in major body organs. Diagnosis of AL amyloidosis is often not easy as the signs and symptoms can be […]

Celayix provides employee scheduling services across various types of industries throughout North America. They are one of the leading providers of machine learning based solutions across multiple verticals for companies that range in size from small, medium to large. They would like to maintain their lead with the help of this research and development project […]

Persistent traffic congestions which are varying in volume and duration in the cities are not just the source of frustration for drivers, but also one of the biggest sources of greenhouse gas emissions in the world. Those types of congestions cannot be adequately resolved by the traditional traffic signal controllers. Breeze Labs Inc. in cooperation […]

A verifier-prover — where a “prover” suggests an answer to a question, which is then checked by a “verifier” — is a powerful analytical tool in computer science. As an example, understanding the number of transactions required to answer a computational question in a prover-verifier setting offers insights into the difficulty of that computational problem. […]

Tugboat has 1000s of questions and responses submitted by clients. Users upload questions which can be answered using the “Auto Answer” functionality. The “Auto Answer” technology leverages weighted search vectors to search answer databases and prioritize which answers to recommend for a given question. The objective of the project is to leverage this dataset by […]

Over the past few years, Graph Convolutional Networks (GCNs) have achieved state-of-the-art performance in machine learning tasks on graph data and have been widely applied to many real-world applications across different fields, such as traffic prediction, user behavior analysis, and fraud detection. However, networks in the real world are often with heterogeneous degree distributions, such […]

The oil and gas industry is in the top five largest sectors in the world in terms of dollar value, generating an estimated $3.32 trillion in revenue annually. It is estimated that 40-60% of workforce in the oil and gas industry will retire in the next five years, so preserving the knowledge stored in documents […]

For organizations that use the Internet, their employees will visit thousands of websites every day. However, there is a chance that the destination website is not safe to visit. Such websites may be fraudulent, phishing, or even data-stealing related. On the other hand, determining if the target website link is suspicious or not could help […]

Imagine a refrigerator automatically orders the eggs from the online store to deliver at its location and make the payment on behalf of the owner. In today’s world, the network infrastructures are not limited to traditional datacenters or company’s premises. IoT (Internet of Things) and BYOD (Bring Your Own Device) are growing rapidly in our […]

Speed is incredibly important when addressing issues with computer security. The longer the time between the attack’s start and resolution, the more assets that attackers can steal from a company. There are various security platforms that can alert a company to a cyber-attack. This research project aims to combine knowledge from all these platforms together […]

Businesses are collecting more and more data, but they do not have the manpower to properly analyse it. This project will implement a proof of concept for a system that uses machine learning to improve the detection of cyber threats. The machine learning algorithm will receive information from many different data sources, detect where there […]