Industrial-scale production of insect-derived protein has emerged as a sustainable alternative to wild harvesting or large animal farming. The principal waste product is called frass, which is composed of excrement, larval exoskeletons and microbes. Frass from black soldier fly larvae (BSFL) has plant-growth promoting (PGP) properties and is therefore well positioned as a replacement for […]

Artelys Canada est une compagnie de consultation spécialisée dans la mise en oeuvre de solutions d’aide à la décision quantitative, faisant intervenir des modèles et algorithmes de mathématiques décisionnelles : statistiques, analyse de données, intelligence artificielle, optimisation numérique et recherche opérationnelle. Elle se distingue par son ADN industriel et intervient principalement dans les secteurs de […]

Ce projet de recherche en collaboration avec Culture Capitale-Nationale et Chaudière-Appalaches (CCNCA) a pour objectif de présenter une cartographie sociologique raisonnée des ressources culturelles (acteurs, organismes, leviers, infrastructures, etc.) des MRC de Portneuf et de La Jacques-Cartier. Cette cartographie permettra d’une part la création d’un répertoire à jour des ressources, et d’autre part de situer […]

Miru Smart Technologies (Miru) is developing the next generation of low-cost, energy-efficient, high-quality eWindows for residential, commercial, and automotive industries. Using scalable and adaptable methodologies, electrochromic windows have the potential to yield significant gains in energy efficiency by offsetting user climate control requirements while simultaneously providing a high-quality consumer experience. In Q1 2025, Miru recently […]

This project aims to develop a robust foundation model designed explicitly for financial time series representation learning. The core of this approach is an autoencoder framework capable of capturing multi-modal relationships in financial data. Once trained, the encoder will be deployed as a general-purpose model for various downstream financial tasks, including predictive analytics and asset […]

We have developed a novel data augmentation procedure that significantly enhances machine learning-based classification of different brain imaging scans. Having successfully demonstrated proof-of-concept in a rodent model, we are now expanding this approach to clinical applications in humans. Specifically, we aim to utilize this technology to identify early biomarkers of neurodegenerative diseases, enabling personalized treatment […]

Spin qubits—nanoscale quantum bits made in semiconductor materials—are a promising technology for building future quantum computers. They are highly miniaturized, can work at relatively higher temperatures than competing technologies, and can be made using standard industrial semiconductor-chip fabrication techniques, which makes them ideal for scaling up. However, traditional chip design software is not adequate for […]

The primary goal of this “Landscape of Grand Pré ” research project, a UNESCO World Heritage Site (LGPI 2025), examines how the visitor experience can be enhanced by employing an interactive QR coded smart phone application (app). The second goal assesses how the app can raise awareness of the Landscape’s storied history in shaping Canada’s […]

Emma Lake is one of many recreational lakes located in the boreal forest of west central Saskatchewan that has experienced increased cultural eutrophication due to increased lake development and urbanization. Cultural eutrophication refers to artificially enhanced nutrient loading associated with shoreline development, vegetation removal, and factors related to sedimentation, increased use of fertilizers, and proliferation […]

The project explores the application of physiological sensors in psychology, mental health, and mindfulness by integrating artificial intelligence for emotional classification. It aims to validate a wearable physiological monitoring system, using devices like Fitbit Versa 6 and Emotibit, to predict stress and anxiety levels through machine learning. This initiative is crucial given the prevalence of […]

A key challenge in corporate law is the efficient indexing and retrieval of legal documents. This project focuses on enhancing the accuracy of AI-driven legal document processing, making it easier for law firms to manage client records. With improved document indexing and data extraction, legal professionals will have better access to structured, reliable legal information. […]

AMD is a leading innovator in high-performance computing, graphics, and visualization technologies, focusing on gaming, immersive platforms, and data center solutions. The company develops cutting-edge hardware and software solutions to enhance computing performance across various applications, including artificial intelligence (AI), machine learning (ML), and edge computing. AMD is seeking to apply advances in AI and […]