L2M – AI Powered Seed Analysis

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 […]

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AI based Animal Behavior Recognition: Dog Pose and Labeling

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 […]

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Linguistic Cues for the Extraction and Synthesis of Speech in Extreme Noise

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),

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GOWL-Edit, un assistant logiciel pour l’édition graphique d’ontologies OWL 2, de requêtes SPARQL et de règles SWRL (Semantic Web Rules Language) dans la syntaxe G-OWL étendue

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 […]

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Inventing the Future of AI Applications: Applied Research in Machine Learning at AXL

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 […]

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Debugging ML via Feature-guided Analysis: Analyzing Neural Network Robustness

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 […]

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Genetic control of Reproductive Longevity in Mouse and Validation of a genetic marker panel to predict Fertility and Longevity traits in Holstein Dairy Cattle

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 […]

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Apprentissage par renforcement guidé par l’humain pour l’entraînement de personnages virtuels autonomes – Une approche Human-in-the-Loop

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 […]

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Intelligent Knowledge-based Digital Assistant for Enhancing Customer Service in a Fundraising Management Organization

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 […]

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Assessing team functional state in emergency response

The need for better measurement of emergency response teams has been recognized as one of the key challenges that characterize the field of team work studies. Ideally, when assessing team performance, one should combine information about the nature of the team (e.g., what is the team structure?) and about its members (e.g., is one of […]

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AI-Driven Workplace Accommodation System

Magnify Access is partnering with Sheridan’s Centre for Applied AI (CAAI) to advance the Workplace Accommodation System (W-PAS), a technology platform designed to streamline workplace accommodations for employees with disabilities. This collaborative project has two key objectives: (A) to strengthen the Artificial Intelligence (AI) component of W-PAS to improve the accuracy and relevance of its […]

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Le Web Sémantique pour la modélisation et l’enrichissement des contenus dans DITA – Year two

IXIASOFT, notre partenaire, utilise le standard DITA, basé sur XML, pour la rédaction de la documentation technique et l’organisation d’une information structurée orientée sujet. DITA encourage la rédaction du contenu sous forme des topics indépendants. Les techniques du web sémantique offre la possibilité de faire des liens entre les topics et les documents pour faciliter […]

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