The research project aims at using artificial intelligence (AI) during the product design process. At the moment, computer-aided design (CAD) software are the primary central tools used by engineers to ease the product design process that can be quite difficult and long. However, the use of AI could further decrease the burden by automating parts […]

The insurance industry is a competitive sector that is expected to account for 3.1 percent of Canada’s Gross Domestic Product in 2021. Leading insurers are investigating how machine learning (ML) may enhance company operations and customer satisfaction as clients become more selective about personalizing their insurance purchases to their particular needs. AI chatbots have the […]

La Plateforme de Pertinence Coveo est une plateforme SaaS infonuagique et multilocataire qui propose des solutions de recherche, de recommandation et de personnalisation. Coveo offre des solutions pour le commerce électronique, les services, les sites Web et les applications pour le milieu de travail. Dans le cadre de son stage, le stagiaire pourra travailler dans […]

The project is to implement a recommendation system and an ameliorated search engine for an e-commerce platform. The intern will use different machine learning techniques and evaluate them with specified indicators. It will mainly be implemented with Python, TensorFlow, Docker and AWS AI/ML. The intended impact for the organisation is a better user experience, a […]

Une des grandes difficultés pour les négociants du Parquet des transactions énergétiques à Hydro Québec est de prédire les prix des transactions, vu la nature volatile de ces derniers. Plusieurs données sont disponibles afin de permettre aux négociants de choisir leur stratégie. Parmi ces données se trouvent des données météorologiques, les facteurs géopolitiques, l’offre et […]

The rates of fraud attempts have been increasing dramatically since the beginning of the pandemic. Always trying to protect its members and clients, Desjardins is collaborating with researcher to improve the state of the arts in real time transactional frauds detection using sophisticated machine learning techniques.

Threat attribution is crucial to detect attacks as early as possible and understand how attacks will proceed and the likely scope. This project will propose an explainable fuzzy deep neural network for cyber threat attribution. We obtain transparency and explainability via extracting fuzzy rules from DNN for cyber threat attribution. Indeed, this model, via providing […]

The interns will be tasked with creating a unique online platform for healthcare providers and veterinarians to be validated, and able to order custom medications. This type of platform does not exist yet. It will involve a thorough embedded validation process, user management, an advanced search and filter function, embedded educational/regulatory/product information, a complex pricing […]

Le projet cible principalement l’élaboration d’une stratégie de développement de l’application dorsale (‘back end’) d’une plateforme web et de son premier module de maillage intelligent. L’objectif central de cette cible est la planification du développement des fonctionnalités de l’application, de la conception architecturale du modèle et des données de l’application dorsale à la mise en […]

The growth of data and computer technology are paving the way for artificial intelligence (AI) to transform health care. Family medicine is the foundation and entry-point to the Canadian health care system, and AI applications applied in family medicine have the potential for widespread benefit. However, family medicine leadership is needed to mitigate potential harms […]

ShotMarker is a product designed and manufactured in New Brunswick for long-range target competition shooting that measures the location of a bullet passing through a target. Each shot is measured at the target, transmitted wirelessly, and displayed on a smartphone or tablet at the firing line. This technology has changed the way long range shooters […]

Web-based chat services are widely used by millions of customers today. However, few of them satisfy both service providers and recipients (customers).For instance, customers are continually complaining about long wait times and inadequate service. The technical challenge is to keep both the customers and the agent happy. To solve these difficulties, we plan to model […]