Ordonnancement et pilotage intelligents d’une cellule robotisée de soudage4.0

Bombardier Transport a développé, en collaboration avec différents partenaires, une cellule de soudage robotisée. Ce projet vise à systématiser et à automatiser la prise de décision pour le pilotage efficient de cet équipement. À terme, le projet permettra de maximiser le potentiel de la cellule et d’équipements comparables dans une perspective intégrée et agile propre […]

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A Principled Approach to Developing Machine Learning Models for the Synthesis of Structured Health Data

Under the current pandemic of Covid-19, sharing health record data has tremendous benefits to control the spread of the infection and save lives globally. In medical research and discovery, Electronic medical records (EMRs) play the essential role for medical discovery in two categories, namely 1) cross-sectional study and 2) longitudinal study. Cross-sectional study compares different […]

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A Systemization of Knowledge on the Dual Nature of Technology in Providing Support to Sexual Assault Survivors

In light of the COVID-19 pandemic, there has been an increase in sexual assault incidents. Research shows that when there are disasters and economic meltdowns, there is usually a spike in sexual assaults. The world is experiencing both a pandemic and economic downturn. With self-isolation, social distancing, and the stay-at-home orders, the use of technology […]

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GPU-Based Fast Fluids for Video Games

Animated fluid effects based on physical simulation have been a staple part of visual effects industry. They are characterized by offline simulation and rendering that produces high-fidelity dynamics and visuals. As the technology for computer games advances, the opportunity to create such effects in real-time as either a playback technique or dynamic simulation is becoming […]

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Koala Pro – Dossier intelligent

Conception et développement de 3 plateformes intégrées pour commercialisation dans l’intérêt d’augmenter la productivité des nutritionnistes au travers d’une prise de données accélérée, une analyse de données améliorant la précision de la note au dossier, une aide au diagnostic alimentaire pour améliorer l’intervention client-patient, et la création de statistiques professionnelles liées aux résultats des interventions. […]

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Advancing traceability in informal supply chains through applied AI and ML

PemPem develops tools to ensure product traceability in informal supply chains using AI. These informal supply chains employ over 60% of the working population worldwide. They typically have highly inefficient operations due to very limited access to information and a reliance on opaque word-of-mouth coordination. While PemPem has started solving the problem of collecting data […]

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Contextual portrait detection

A frequently occurring problem in face verification in Jumio is that stock face detectors find multiple faces in the input image. The decision which one should be selected for the face verification step is not clear. Common reasons being, users submitting a single image with both selfie and document id. There can be other people, […]

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Distributed Learning over Edge Computing to Support Covid-19 Modelling

The proposed research will allow any device to contribute its computing capabilities to the general distributed computer. Combined, these devices become a super-computer — providing resources for researchers and scientists in their quest for discovery. This research focuses on the finely calibrated aspects of scheduling slices of computing on this computing network. The intern will […]

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Scene Graph Image Interpretation Tools

In this project we will look at tools to represent the content of an image and the relationships between its salient objects. The purpose of these tools is not only to enumerate the object represented in an image and identify their surroundings but also to describe how these entities are interacting with each other. We […]

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Using semi-supervised learning for classification of sport images

Artificial intelligence (AI) is rapidly becoming one of the most critical aspects in both business and science, and an increasing number of leading technology companies in Canada are at the forefront of AI development and innovation. The proposed research project aims at developing AI algorithms that have the ability to accurately classify the sport practiced […]

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Développement d’un algorithme de classification des nuages de points lidar aéroporté par apprentissage profond

La compagnie XEOS Imagerie oeuvre dans le domaine de l’acquisition de données lidar (Light Detection and Ranging). Elle désire extraire automatiquement les points associés au sol et aux objets à partir du nuage de points 3D brut de l’acquisition lidar. La procédure actuelle pour classifier les points repose sur une combinaison d’algorithmes spécialisés et d’interprétation […]

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Evaluating the Performance of Real-Time Collaboration on Mobile Devices

Real-time distributed groupware systems are becoming common, but real-time interaction is still poorly supported, particularly on mobile devices. The problem to be addressed in this project is that current mobile groupware systems do not provide adequate support for high speed tightly-coupled interaction. The two main activities will be to evaluate the capabilities of mobile devices […]

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