“Fait au Québec” plateforme numérique pour stimuler les collaborations entre l’entrepreneuriat innovant, le milieu scientifique et le secteur manufacturier

Les startups québécoises dédiées à la conception et la fabrication de produits physiques ont de la difficulté à produire des prototypes ou microséries localement. Cela les pousse à chercher à l’étranger l’expertise en production et l’aide technique qui leur font défaut ici. Ce projet vise à développer et à déployer une plateforme numérique dans le […]

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Une application de l’intelligence artificielle en investissement responsable : la prévision d’événements médiatiques néfastes pour la réputation de la firme

Notre projet de recherche vise à contribuer au développement d’un outil d’analyse et de prévision des risques médiatiques environnementaux, sociaux et de gouvernance (ESG), et ce, à partir de l’intelligence artificielle. Plus précisément, l’objectif est d’améliorer la prévision d’événements médiatiques néfastes à la réputation des entreprises. Pour ce faire, nous proposons notamment d’utiliser les évaluations […]

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Development of State-of-the-Art Web Application to Enhance Energy Management Capabilities for Sustainable Consumer Patterns

Vermillion Power Technologies (VPT), located in Calgary, Alberta, is a leading energy management company with a strong presence in Canada and a growing international footprint. VPT is in the process of developing innovative technology for renewable home energy systems. This groundbreaking technology aims to streamline the complexity of solar installations by consolidating all the intricate […]

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Multi-Modal Wild Salmon Enumeration and Monitoring: A Video and Sonar-based Deployment in Indigenous Rivers of British Columbia

We develop a real-time salmon monitoring system and web application that includes automated counting using computer vision technologies, lowering our partner’s technician resources in performing manual counting. We will deploy the monitoring system in at least nine river locations with small computer hardware capable of deep learning acceleration to run the automated counting system in […]

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Traffic Estimation and Stable Resource Allocation Using Distributed Machine Learning

The proposed research will develop novel distributed machine learning techniques for stable resource allocation and improving traffic estimation in networks. It is a well-known fact that networks are becoming complex and user demand is growing in many directions including the traditional demand for capacity and less delay, as well as improvements in Quality of Experience […]

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Metaverse plugin test and deploy

FluidPlanet.org builds and deploys digital twins for use in education, enterprise and entertainment. This project will result in a plugin for game engines (i.e. Unreal Engine) to coordinate different cloud services that bring a digital twin to life based on their geolocation, such as time, weather and other environmental variables.

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3D Detection and Quantification of Weeds in Vegetable Crops Using Drone Imaging and a Digital Twin

Innoptech is building VegForecast™, a digital twin platform for vegetable fields that combines rapid drone flyovers with computer vision and 3D reconstruction to deliver field-level insights as maps and KPIs that support scouting, intervention planning, and in-season decision making. This internship aims to deliver a complete AI module for weeds by training a detection and […]

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