Canadian Angus Beef Producers measure, record and have access to copious amounts of data, for a growing number of traits and metrics that are economically relevant. To date, the industry and service providers like the Canadian Angus Association through which data is recorded and analyzed have been limited in the format in which this data […]

elev8.dance is a cloud based web application to run and organize dance competitions. Developed over 5 years in conjunction with a series of dance competitions in Saskatchewan the software is now used in dance competitions throughout North America. One of the main challenges elev8.dance faces as it scales is the wide variation and differences in […]

Cloth animation is essential in video games, but creating realistic cloth movements in real-time is challenging due to computing limitations. Traditional methods use simplified simulations combined with keyframing to manage performance and control, but these can be unstable and offer limited animator flexibility. Our project proposes a solution using neural networks to animate garments. By […]

Building on the success of version 1.0, the Canadian Scientist Network (CSN) 2.0 project aims to significantly impact the national landscape of science in Canada by amplifying the voices and profiles of diverse Canadian scientists. Under the leadership of Dr. Imogen Coe, a recognized authority in the field of inclusive excellence in science, this project […]

Le coach de bien-être financier de Kaira, qui prend la forme d’une application mobile, comprend le comportement et le profil financier de son utilisateur, grâce à une connexion à ses comptes bancaires, découvre et approfondit la connaissance de son profil psychologique et de son attitude face à l’argent. La technologie Kaira permet aux entreprises d’offrir […]

L’Autorité Régionale de Transport Métropolitain (ARTM) a pour rôle de planifier, promouvoir, financer et établir la tarification de l’ensemble des services de transports collectifs. Pour ce faire, l’ARTM mobilise une grande variété de données (offre de transport collectif, achalandage, démographie, accessibilité spatiale, enquêtes origines-destinations, localisation des activités, etc.) et se penche sur des enjeux complexe […]

Ce projet vise à développer un nouvel outil de planification qui utilise une approche d’alignement 2D-3D entièrement automatisée pour permettre une planification 3D dans des conditions de charge. Ceci permettra d’optimiser les plans de traitement pour les procédures d’ostéotomie du genou, qui nécessitent une analyse complexe de divers paramètres. Le projet prévoit d’exploiter une base […]

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 […]

With the increasing complexity and frequency of cyber threats, Managed Security Service Providers (MSSPs) like ISA Cybersecurity must continuously evolve their threat intelligence capabilities. This project proposes the development of a Multi- Tiered Threat Intelligence Service (MTIS) to enhance the detection, classification, and response to diverse cybersecurity threats. This project aims to fortify ISA Cybersecurity’s […]

This project aims to determine if MacDon’s existing data can be used to develop machine learning models for image segmentation. Image segmentation means identifying different objects in an image by assigning each pixel to a specific category. MacDon has lots of unlabelled video and image data collected from their farming equipment. Traditionally, large amounts of […]

Energy Disaggregation is to find the energy consumption of individual appliances from only a single measure of household electricity consumption. Accurate energy disaggregation helps identify major energy guzzlers in the house and motivates users to take proper actions for energy saving. To pursue aneasy-to-use and scalable solution to energy disaggregation for contemporary large-scale appliances, we […]

Modern data analysis tasks often face challenges of high dimension and thus nonlinear dimension reduction techniques emerge as a way to construct maps from high dimensional data to their corresponding low dimensional representations. Finding such low dimensional representations of high dimensional data is beneficial in several aspects. This saves space and processing time. More importantly, […]