With advances in techniques, high volumes of valuable data are generated in many domains (e.g., energy sector) at a rapid rate. Consequently, a scalable and flexible system for efficient storage and fast management of these distributed data is needed. In this proposed research project, we plan to design and implement a cloud-based data storage & […]

Le projet vise à développer une infrastructure capable d’exploiter les informations cliniques contenues dans les dossiers médicaux électroniques. Une grande partie des données médicales du Québec est consignée dans ces dossiers, mais les textes n’ont pas de structure précise et restent difficiles à exploiter automatiquement. Cette complexité peut ralentir la prise de décision médicale et […]

This project will design and test a new privacy-preserving, attack-resilient cybersecurity system for 5G networks using Federated Learning (FL), an approach where multiple devices can train models together without sharing sensitive data. The goal is to improve protection against cyberattacks such as denial-of-service and model poisoning, which threaten the reliability of modern mobile services like […]

As part of the Lab2Market program, this project explores the commercialization potential of the group’s previous research pertaining to the use of computer vision, artificial intelligence and machine learning to precisely detect and identify seeds. Over the 4-month duration of the project, the team will participate in Lab2Market workshops, panels, and lectures from successful founders […]

This project will develop a real-time Artificial Intelligence based system that accurately estimates 3D skeletal pose from monocular video of dogs and reliably classifies fundamental behaviors to support veterinary health monitoring and behavioral assessment applications. Recent research has demonstrated significant progress in automated animal behavior recognition. The intersection of computer vision, animal behavior analysis, and […]

Malaspina Labs Inc. develops algorithms for enhancing speech in extremely noisy audio signals for real-time applications such as hearing aids and mobile devices. Many classical approaches to speech enhancement are not applicable to these domains because of severe hardware and psychoacoustics constraints such as far-field, single microphone use cases (no beamforming),

L’Institut de Recherche en Électricité du Québec (IREQ), qui est le centre de recherche d’Hydro-Québec, a pris le virage des technologies du web sémantique depuis quelques années. L’IREQ doit gérer une quantité énorme d’informations provenant de ses équipements réparties dans tous le Québec. Les chercheurs de l’IREQ ont notamment choisis les technologies du web sémantique […]

AXL Labs is the technical arm of AXL, a Toronto-based venture studio that creates and launches companies focused on human-centric artificial intelligence (AI). Their main goal is to leverage human-computer interaction (HCI) and AI in designing and deploying end-to-end solutions for industry and academic applications. Organizations that partner with AXL typically have business problems where […]

Neural Networks (NN) use a set of individual units (neurons) connected together to learn a specific behavior from a dataset. For example, NN excel in classification tasks where given a dataset labelled with presence or absence of a feature in each entry, they are able to detect the feature presence on new inputs. This technology […]

Reproductive Longevity (RL) is a complex biological trait under the control of many genes. In Cattle, RL is a key productivity factor, especially for dairy cows. The proposed research aims to identify RL-controlling genes in mammals using: 1) a unique model system, selectively-bred mouse lines that reproduce twice as long and have twice as many […]

L’industrie du jeu vidéo fait face à un défi majeur : créer des personnages virtuels intelligents qui s’adaptent aux utilisateurs tout en respectant la vision créative des concepteurs. L’apprentissage par renforcement (RL) permet aux agents virtuels d’apprendre par essai-erreur, mais fonctionne de manière entièrement autonome, sans possibilité d’intervention humaine pendant l’apprentissage. L’IA peut ainsi développer […]

Customer service operations in fundraising management organizations often face the challenge of handling large volumes of repetitive inquiries during high-demand periods such as festival seasons, raffle result announcements, and charity campaign launches. Traditional customer service support methods cause delayed responses due to limited staff availability, resulting in customer dissatisfaction. To address these challenges, we propose […]