AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]

In this project, we will employ deep learning techniques to enhance the accuracy, interpretability, and robustness of indirect measurements. Particularly, we focus on problems of i) interpretation and analysis of metagenomic data obtained from agricultural soil samples, characterized by high-dimensional feature spaces with a relatively small number of soil samples (for an overview, see [1]-[4]), […]

Human perception is a critical part of creativity. This research is based on an observation that a creative solution often connects two remotely related concepts. Therefore, I will focus on the mechanism of human visual perception, particularly the mechanism to connect two objects, in this project. The objective is to be achieved by using the […]

En utilisant des modèles de Traitement Automatique des Langues (TAL), notre objectif est d’analyser de manière approfondie les articles de presse pour extraire des informations cruciales sur l’acceptabilité sociale des projets liés aux ressources naturelles. Nous nous concentrons sur l’identification des parties prenantes impliquées, ainsi que sur l’identification des facteurs clés de succès et des […]

This proposal represents part of a doctoral thesis aimed at developing an interface for immersive environments, allowing for geovisual analyses targeted at smart cities, using digital twins to investigate flood-related data. The proper application of interface design in this environment enables an improved understanding and perception of emerging risks, which are crucial elements in flood […]

This Mitacs Globalink Research Award will support a Ph.D. student (Freeman) on a 24-week research trip to Sweden from 30 June – 15 December. Freeman will be hosted at Linnaeus University in Kalmar, Sweden, and will travel within the region to conduct interviews that will form a major part of Freeman’s thesis research, in collaboration […]

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La croissance rapide des villes et la demande croissante de services urbains efficaces et durables posent des défis importants aux gestionnaires municipaux. Les appareils urbains intelligents, tels que les lampadaires, les poubelles, les bornes de recharge, etc., sont des éléments clés pour améliorer la qualité de vie des citoyens et optimiser les ressources urbaines. Cependant, […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

The Ontario government recently mandated electric and natural gas utilities provide easy access to energy usage data so consumers can access energy-saving services in a competitive market. However, there has been no analysis of how well utilities have implemented Green Button. More specifically, are regulatory requirements being met, and is data accurate, complete, consistent with […]

Les données liées, une partie du web sémantique, sont des données structurées et liées entre elles pour permettre des services se basant sur ces données qui sont plus intelligents. Plusieurs formes de données incompatibles existent pour décrire les œuvres d’art et les artistes dans les bases de données sur Internet. Cette recherche servira à développer […]

Le but ce travail est de mettre en place une platforme qui integrerait efficacement plusieurs algorithmes d’evaluation des produits derives sous differents modeles non-gaussiens. Cette platforme cherche a etre une calculatrice des prix des options integrant des modeles de pointe pou servir d’aide a la comparaison empirique des point de depart de l’etude. Cette famille, […]