Legal Question Answering with Machine Comprehension

ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to natural language processing have brought results that are close to human performance in some tasks. However, this approach is still […]

Read More
Machine Learning for the Telecommunication Industry

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of […]

Read More
Machine Learning for the Telecommunication Industry – Year two

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of […]

Read More
Influence of base rigidity on the load-carrying capacity of loadbearing masonry walls

Design of loadbearing, out-of-plane (OOP), tall masonry walls tends to have stringent limits related to their buckling stability and the scarcity of research on their structural reliability. This currently puts the masonry industry at a disadvantage as a construction alternative compared to other structural options. The proposed research investigates the strength of tall masonry walls […]

Read More
A new approach to assessing the potential for rockfall and landslide hazards

Rockfalls and landslides are a common hazard throughout Canada and have a significant impact on transport corridors, infrastructure associated with natural resources, and in public areas. The ability to determine the potential for slope failures is often limited either by the lack of a detailed assessment of the slope, or by the understanding of the […]

Read More
Plasma Surface Modification for Passive Microfluidic Immunoassays

Sensoreal’s patented technology allows them to perform complicated laboratory health testing procedures on a plastic microchip the same size as a credit card. The testing is done through the use of passive microfluidics, in much the same way as trees transport water to their leaves. A blood sample is placed in the loading port of […]

Read More
Content Delivery Networks to the Home

CONTENT Delivery Networks (CDNs) are large distributed infrastructures of replica servers placed in strategic locations. They deliver content to end-users with reduced latency by replicating content on surrogate servers. However they face a major challenge when content is delivered to end-users accessing a same content in home settings: inefficient bandwidth usage in the access network. […]

Read More
VAL-083 combination therapies in chemo-resistant pediatric CNS cancers

More children die from brain cancer than from any other disease in the western world. Many anti-cancer drugs are unable to cross the blood-brain barrier to reach the tumor and certain genetic mutations in the tumor cells increase resistance to chemotherapeutics. The novel chemotherapeutic drug VAL-083 readily crosses the blood-brain barrier and accumulates in brain […]

Read More
Privacy Preserving Federated Learning

5G, cloud and IoT confederation vision is to revolutionize the internet by fostering billions of interconnected mobile and embedded devices, sensors, and services, exchanging information in order to build smart, self-conscious autonomous environments. Yet, the ubiquity and value of connected devices and their applications cannot hide their security and privacy challenges. The enormous amount of […]

Read More
Upgrading of heavy and high-contaminant Hydrofaction™ Oil, to fuels blendstock with the use of Catalytic Steam Cracking

The Project’s objective is to continue the upgrading work executed in the previous MITACS Converge project with a larger focus on more challenging biocrude oils such as heavy fractions, high viscosity, high nitrogen, high ash oils that are produced from feedstocks such as “feed gate residues” in the form of manures, biosludges and organics from […]

Read More