Current procedure for monitoring securities market in Canada relies heavily on tips from outside and hard coded rules and thresholds. This approach leaves many suspicious cases out of investigation (i.e. false negatives). We introduce a data mining approach to identify irregularities in securities market. These irregularities are known as suspicious cases that might be associated […]

PC Optimum was originally built as a rewards platform. As we are moving in the path to engage more meaningfully with our customers by way of personalized & interactive experiences (content), we are building a targeting engine as a solution to surface personalized content tailored for each individual customer. The problem we are solving then […]

Information gathered from internet sources has high variance and different types of noise. This causes out-of-distribution problems with downstream ML modules such as category classification and keyword extraction. The extremely large size of internet-scale datasets requires a solution that is efficient and scalable. The objective of this project is to develop a start-of-the-art anomaly detection […]

LeddarTech, acteur de premier plan des solutions de détection environnementale pour les véhicules autonomes et les systèmes avancés d’aide à la conduite, propose l’utilisation d’un capteur Lidar (i.e., Pixell) conjointement avec d’autres capteurs (caméras optique, Radar, IMU, etc.). Le but de ce stage serait donc de vérifier (1) l’intérêt de l’utilisation du capteur Lidar pour […]

Dans un monde de plus en plus connecté, les stations de ski en Amérique du Nord et à travers le monde désirent s’impliquer davantage auprès de leur clientèle pendant qu’elle est sur les pentes où dans leurs infrastructures. Favoriser l’expérience de ski et améliorer les revenus connexes sont deux motivations importantes dans le contexte actuel […]

Ce projet s’inscrit dans la grande famille des projets de systèmes de recommandation, où un algorithme doit recommander aux utilisateurs des produits ou des documents qui seraient intéressants pour eux, basé sur ce que nous connaissons de l’utilisateur et sur sa session de recherche actuelle. Coveo a déjà des modèles de recommandation en place, dans […]

Automation of processes is becoming more popular within logistics and material handling industries. As the amount of transferred objects grows there is a continuously increasing need for high efficiency, reduce cost, and of course reliability. With this project, we are utilizing the latest machine learning technology to improve the automation rate to a new level. […]

Data has been recognized as one of the most valuable assets of modern business. The capacity to gather, store, analyze and interpret data in great quantities can determine to a large degree the ability of a company to achieve goals and adapt to largely volatile environments. This is especially true for financial institutions where data […]

The proposed research project is intended to develop an educational tool for the general public to be able to perform self-screening of their skin lesions. For this, a melanoma-detection mobile application will be developed to analyze lesion images acquired using a low-cost dermoscope attached to a smartphone. This product helps public or students to learn […]

The use of barcodes to store alphanumeric information has spread from supermarkets to department stores, the health industry and even on the back of our drivers’ license. Recent years have also seen demand to increase the density of information encoded in barcodes. A Drivers’ License has its personal data encoded in the barcode on the […]

La méthode d’inspection ultrasonore PAUT (acronyme pour ‘Phased Array Ultrasonic Testing’) est une technique d’imagerie permettant la détection et la caractérisation de défauts de fabrication dans les assemblages et composants les plus critiques de l’industrie. Cette méthode, offerte avec certains produits Olympus tels que l’Omniscan ou le Focus PX (des produits conçus et fabriqués au […]