Estimation de la pose de la caméra physique en production virtuelle

Cette recherche explore l’intégration des espaces physique et virtuel en production cinématographique. L’espace physique regroupe acteurs, décors, éclairages et caméras, tandis que l’espace virtuel crée des environnements numériques immersifs. Pour un rendu visuel réaliste, les mouvements de la caméra physique doivent être précisément suivis et reproduits dans l’espace virtuel. Actuellement, ce suivi repose sur des […]

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artolog – Prototype

Le portail d’archives collectives artolog.ca a comme objectif de permettre aux artistes d’obtenir une visibilité équitable. Son mandat est de réduire la perte du patrimoine culturel Canadien. L’objectif est de finaliser le prototype afin que le portail soit sécurisé, accessible, rapide, facile à utiliser et compatible avec d’autres plateformes. S’y faisant, nous pourrons promouvoir le […]

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Metaverse plugin

Development of a system (template, plugin, API) to integrate cloud based services such as GIS, IoT and interactive gaming streams into a browser based user interface.

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Monitoring Housing Diversity Project – Sustainability Scholar

The Edmonton City Plan was approved by Council in 2020 and sets ambitious diversified housing and land use targets to avoid premature fragmentation of agricultural lands while accommodating another one million residents. The Monitoring & Analysis Team, within the Urban Growth Unit lead the annual Growth Monitoring Program, the Geodemographic Projection Program, and Urban Growth […]

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Enhancing Digital Product Strategy and Workflow Automation for Scalable Innovation

This project aims to enhance SolvedAF’s digital product strategy by developing a workflow automation system that streamlines client onboarding, project tracking, and internal collaboration. By integrating automation tools and optimizing business process workflows, SolvedAF will improve efficiency, reduce manual bottlenecks, and enhance the user experience for both internal teams and clients. The project will contribute […]

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Data collection and cross-domain representation models for trajectory analysis

Due to the vast amount of available tracking sensors in recent years, high-frequency and high-volume streams of data are generated every day. Such tracking sensors include but are not limited to vessel, airplane or vehicle tracking data, drones, smartwatches and smart bands as well as cameras and earth observation sensors. Despite the overabundance of data […]

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Improving Differentially Private Deep Learning Models

Machine Learning (ML) models are known to leak information about the data they were trained on, enabling membership and reconstruction attacks [7]. Such privacy risks damage trust in ML, and hinder the broad adoption of model co-training, through Federated Learning or cloud-based co-training. This is especially true in sensitive domains that could significantly benefit from […]

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Assessing Content Authenticity Through Data-Driven Studies and Visual Insights

The proposed project aims to enhance Originality.ai’s role in the evolving digital content industry by addressing challenges in content authenticity and originality. The project focuses on creating impactful studies and data visualizations that leverage large datasets to evaluate trends, technologies, and methodologies in AI-generated content detection. By developing proprietary insights and tools, this initiative will […]

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New User Enrollment System

Digital Link Inc., a leader in IT support, digital marketing, and web design, is addressing inefficiencies in its client onboarding process through the development of a New User Enrollment System. The current manual process is prone to delays, errors, and lacks transparency, leading to challenges in client satisfaction and operational efficiency. This new system will […]

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Materials Formulation Generation Using A Novel Informatics Platform

Single-use plastic bans and EPR laws are forcing CPG brands to transition from petroleum plastics to sustainable materials, a process that is complex, lengthy and expensive. Materia is addressing this challenge with an AI/ML-driven materials informatics platform with an integrated marketplace, empowering companies to develop and launch eco-friendly products 65% faster and cheaper. This project […]

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AI-driven XRD spectra interpretation and classification

This project aims to develop an advanced system for interpreting X-ray diffraction (XRD) data and classifying it based on insights provided by Subject Matter Experts (SMEs). XRD is a critical analytical technique used across various industries, including materials science, geology, and geophysics, to determine the crystallographic structure of materials. However, the raw spectra generated from […]

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