Development of an Actigraph System for Sleep-Wake Identification

The main obj ective of this project is to design a proper algoritlun for analyzing COPD patient’s sleep data as an important feature in patients treatment procedure. The data would be gathered by a novel wrist wearable actigraph with high accuracy technology. The wearable wristactigraph will allow more reliable data collection because the subjects can […]

Read More
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 […]

Read More
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 […]

Read More
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),

Read More
Security Investigation and Solutions to Online Advertising Fraud Problems

The market share of online advertising, also known as Internet advertising, has been increasing dramatically in recent years. On the other hand, malicious behaviors, such as click fraud, have degraded the effectiveness of online advertising. Via fraud clicks, a considerable amount of revenues have been lost to fraud conductors. For instance, based on a report […]

Read More
Improving efficiency and complexity of reporting for epidemiological insights and disease trends

Globally, there have been challenges in pulling together data, analyses, epidemiological insights, and unusual infection disease trends into comprehensive and regular reporting, that support pharmaceutical and life sciences organizations with timely intelligence for decision making. BlueDot has the knowledge and expertise to bring together these insights in a highly visual, easily understandable regular reporting format, […]

Read More
Strategy Marketing Internship

StilwaterAI is a growing startup developing AI assistants to help businesses improve efficiency, decision-making, and productivity. While the company has strong technical capabilities and proven solutions, it faces challenges in reaching its target audience due to limited sales infrastructure, minimal brand visibility, and absence of a clear marketing strategy. This project is designed to establish […]

Read More
Preclinical characterization of medical marijuana cultivars with therapeutic efficacy and low side-effect liability

Medical marijuana describes the legal use of cannabis plants for treating health-related issues. In Canada, there are currently about 40,000 medical marijuana users, and this number is expected to increase by over 1000% during the next decade. The large majority of patients use medical marijuana for its psychological effects, such as for anxiety, depression, pain […]

Read More
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 […]

Read More
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 […]

Read More
Exposing the Invisible – Designing with the Uncertainty of Wind

The objective of this project is to connect architects and wind engineers early on within a project so that affects associated with wind such as pedestrian comfort and building strength may be maintained from the start of a project. Rather than making post-construction modifications to a building through the costly use of screens, covers or […]

Read More