Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content. For non- Scrawlr content, this evaluation and classification allowance will be first at the URL level but will subsequently be provided at the individual content component level. […]

Jumine propose, à l’aide d’un jumeau numérique, de développer l’intelligence nécessaire à la détection d’anomalies dans le procédé de flottation, une partie importante du procédé de traitement du minerai. Jumine doit créer un jeu de données pour concevoir un modèle de détection, qui permettra de signaler en temps réel les anomalies présentes dans le procédé […]

Ce projet proposé par EXFO vise à améliorer la performance des Optical Time-Domain Reflectometer (OTDR) pour l’évaluation de la qualité d’un lien de fibre optique utilisé pour la télécommunication. L’objectif principal est d’améliorer l’identification des événements et leur classification en utilisant des réseaux neuronaux. Les méthodes actuelles peinent à identifier des événements successifs rapprochés, particulièrement […]

Koïos Intelligence est à la source de l’agent conversationnel Olivo qui vise à offrir une expérience interactive, guidant l’utilisateur au travers des processus de prévente, de vente et d’après-vente pour tous les types d’assurances. Bien que l’outil soit dans un état avancé tant au niveau de la conversation écrite qu’orale, et ce aussi bien en […]

TAMVOES is a personal health record (PHR) software platform that seeks to help better manage an individual’s health by empowering them to collect and securely store copies of their health history, allergies, vitals and appointments online. They have an opportunity to increase their customer base by extending their platform to hospitals and large clinics, especially […]

In the Canadian boreal forest region habitat fragmentation due to linear disturbances (roads, seismic explora-tion, pipelines, and energy transmission corridors) is a leading cause for the decline of wood-land caribou (Rangifer tarandus) – boreal population; and as a result, a deep understanding of linear disturbances (amount, spatial distribution, dynamics) has become a research and forest […]

Geospatial data (e.g. location of the business branches, fleet of online delivery vehicles) is a crucial part of online marketplaces, as their developers need easy-to-integrate tools that efficiently perform searches across said data. This project will explore novel approaches to improve state-of-the-art searches for objects with geospatial attributes. In this project, interns will develop computer […]

This project is an online multiplayer video game for Virtual Reality (VR) that is inspired by escape room themes and puzzles. The project is going to be developed using Unreal Engine 5 which is one of the newest and most powerful technologies that allows the team to implement more complex ideas and scenarios that were […]

We are building the next generation of operations management software. In recent years there have been many companies that digitize forms to eliminate paper. Now, OPAS Mobile is changing how companies manage their HSEQ, fleet, materials, timecards and more by integrating everything into one extremely easy to use platform. Combining real-time data from the field […]

Fonemed has been in the telehealth industry for over 20 years. We provide telehealth services to patients of our clients. We also have our own technology that our nurses use to guide them through the triage process. We are currently re vamping our products and services to make it more adaptable and interactive for external […]

We have initiated what we hope is a long-term collaboration between University of Alberta (Randy Goebel, Amii/Computing Science) and Edmonton Police Service (Brian Rector), to investigate and develop the application of AI methods to aid in the solution of long-term unsolved homicides (“cold cases”). The initial idea is focused on AI methods for information extraction […]

Conventional camera sensors record three color channels: red, green and blue. In this project we will investigate computational photography algorithms for cameras that record a near-infrared channel (NIR) in addition to RGB. This channel is particularly useful for biometric imaging and holds great potential in consumer imaging applications as well. The key challenge in simultaneously […]