During this internship, I will work with the Science team to deliver business guidance in the field of AI/ML to their clients. This is done through a number of services, including validating AI/ML projects, advising technical groups through their implementation of AI/ML systems, and providing advanced research support by addressing research problems in a specific […]

Canadian Communities are facing a tidal wave of physical infrastructure debt as their physical assets deteriorate due to age. This project aims to use urban LiDAR data (“streetscapes”) and computer vision to identify key physical assets such as (signs, curbs, centerline roads, streetlights, and other features) by there location (latitude / longitude) and key physical […]

Faced with the exponential growth of information sources, the instability of new digital forms and the convergence of data, content and records management systems, organizations are faced with increasing requirements to adopt an effective approach to exploit their information assets. Through the qualitative study of information inventories produced by Information Management experts, as well as […]

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 […]

Humans possess the ability to see objects as having the same color even when viewed under different illuminations. Cameras inherently lack this capability. A process called auto white balance (AWB) has to be applied by the camera to mimic this behavior of the human visual system. AWB is one of the first steps in a […]

This project aims to develop a new deep learning algorithm based on various existing CNN-based algorithms, like SPPNet, Fast RCNN, Faster RCNN, YOLO, RetinaNet, CornerNet, etc. to detect the specific machine, forklift, in an image stream and classify the images by the type of forklift. Meanwhile, the company’s existing cloud environment and the speed requested […]

Rheumatoid arthritis (RA) is an autoimmune disease often characterized by the inflammation of the synovium and effusion of joints. RA is a chronic condition and may affect quality of life. Detection and characterization of the synovium and effusion in joints is most often assessed by a trained sonographer or radiologist. Recently ultrasound has been brought […]

The proposed project aims to define and apply a set of AI rules based on customer sentiment, loyalty and purchase behavioral data using data from Drive CX customer experience management platform. The rules would generate “hyper-personalized” marketing offers that result in measurable increases in loyalty and Customer Lifetime Value (CLTV). The deliverable would be a […]

Decentralized finance (DeFi) is a nascent field that recently gained a lot of media attention. DeFi refers to financial service applications that are operated on blockchain technologies such as Ethereum. Such financial service applications include lending and borrowing, leveraged trading, asset management, insurance, and many new products and services that come out every day. These […]

The proposed research project’s objective is to perform analysis on airfoil dimensions and configurations for a crosswind power kite system for wind energy generation. The airfoil will be examined through computational methods to determine how well the airfoil will perform. The airfoil configurations will then be optimized to find better designs for airborne wind energy […]

In every situation humans make observations and analyse the observed information, by combining and evaluating the relationships between the observations to understand the situation. Often these observations can be uncertain, redundant, from unknown sources, contradictory and too many for a human to be able to analyse fast enough and correctly, leading to incorrect assessment of […]

L’objectif principal de cette recherche est de déterminer le niveau actuel de risque électronique dans les PME. (10 à 499 employés) et d’étudier les variables qui peuvent influencer la probabilité et l’impact de l’e-risque dans le futur. En particulier, la recherche tiendra compte des variables liées à l’utilisation ou à la non-utilisation du télétravail suivant […]