Ovarian cancer is the deadliest type of cancer affecting the female reproductive system. While surgery and chemotherapy are commonly used to treat it, many patients experience a recurrence of the disease that no longer responds to treatment. Immunotherapy—a method that helps the body’s immune system fight cancer—has worked well in other cancers but not in […]

Flashana Technologies Inc. develops software products in retail supply chain, specifically predictive analytics for inventory management. Current challenges include: (1) Data harmonization, where manual field mapping consumes a large portion of onboarding time. (2) Algorithmic competitiveness, while competitors deploy classical forecasting, Flashana targets developing AI/ML integrates model that combines customer history with external factors to […]

Wire Arc Additive Manufacturing (WAAM) is a promising technology for fabricating large metal components, but consistent thermal monitoring is challenging due to camera positioning variability. This project addresses that issue by developing two key systems: a pre-calibrated mounting jig and a fixed calibration fixture. The partner organization, which operates a WAAM system, requires precise camera […]

Vapor cell technology is the backbone of a wide range of atomic sensors. This project aims to improve the functionality of vapor cells for Rydberg atom radio frequency detection. The main goal of the work is to test vapor cells whose interior walls are coated with materials that passivate the surfaces so as to eliminate […]

The Canadian Lobster Research Network (CLRN) is a multi-stakeholder and multi-disciplinary research platform led by fishing associations throughout eastern Canada with the principal goal of supporting sustainable and profitable lobster fisheries in the face of rapid climate and ecosystem changes. The CLRN has its origins in the Lobster Node, an industry-driven collaborative research node under […]

This project aims to develop a physics-guided deep learning framework that can be used to further enhance the robustness of surface reflectance forecasting in Planet Fusion. We want to improve and refine existing temporal-driven gap-filling techniques in handling extensive cloud cover and dynamic land changes to avoid delays and reduced reliability of delivered insights to […]

Le projet vise à structurer et exploiter la base de données de NexWav afin d’entraîner des modèles prédictifs avancés en intelligence artificielle. Cette initiative permettra de : • Optimiser le jumelage entre candidats et opportunités : en identifiant les meilleures correspondances entre les profils des talents et les besoins des entreprises, réduisant ainsi le temps […]

Buddha Health Products is an emerging health technology company focused on non-invasive wellness monitoring and personalized therapeutic solutions. Its primary activities involve developing smart actuator devices integrated with digital platforms to track health metrics and deliver targeted interventions. The company has already completed hardware R&D and, in collaboration with WIMTACH, finalized the UI/UX design. The […]

Ce projet cherche à mieux comprendre la contribution de l’économie sociale au développement de la région de l’Outaouais dans les quinze dernières années. NOus prenons comme point de départ, la fondation de la Laiterie de l’Outaouais, un projet emblématique porté par une mobilisation sans précédent des divers acteurs de la région pour ensuite voir l’évolution […]

Le projet vise à aider les entreprises, les médias et les agences à éviter les communications trompeuses sur les enjeux environnementaux, aussi appelées écoblanchiment. En collaboration avec l’organisme Masse Critique, la stagiaire participera à la création d’un processus rapide (moins de 24 heures) permettant d’identifier et de corriger les publicités à risque avant leur diffusion. […]

Developing quantum-enhanced LiDAR requires a deep understanding of the water medium’s optical properties, which vary with environmental factors. To address this, an oceanic model was created to estimate system performance based on water’s scattering and absorption traits, though it currently simplifies these as identical. In the proposed project, this will be refined. System analysis is […]

During this Accelerate internship, we will push ZPC’s current dilution refrigerators to new heights of performance and reliability by harnessing modern machine-learning and AI techniques.