Musculoskeletal systems are responsible for the rich and diverse ranges of motion and behaviors exhibited by all sorts of animals, including humans. Recreating these motions is key for applications in medical simulation, robotics, and virtual reality. Unfortunately, modeling even simple control tasks such as grasping or locomotion with such musculoskeletal systems is extremely difficult. The […]

This international project brings together researchers from Canada and Japan to improve the accuracy and reliability of artificial intelligence (AI) in healthcare. The goal is to enhance how large language models (LLMs)—the technology behind tools like ChatGPT—respond to medical questions by grounding them in verified facts. At the National Institute of Informatics (NII) in Tokyo, […]

This project focuses on understanding what makes the prices of stablecoins (a type of cryptocurrency designed to stay stable) go up or down. Traditional financial models don’t fully explain how these digital assets behave, especially during market changes or when new regulations are introduced. By studying both general market trends and specific factors like liquidity, […]

This project explores how multilingual immigrant children aged 8–13 in Canadian ESL support programs acquire English vocabulary during their early years of settlement. Vocabulary development is crucial for academic success, yet many newcomer children face barriers that go beyond language exposure alone. The research investigates how cognitive factors, such as working memory and phonological processing, […]

The proposed project will benefit the participating institutions by establishing a new international partnership focused on developing sustainable, non-toxic coatings to combat marine biofouling, an issue with significant economic and environmental implications for industries like shipping and aquaculture. By combining expertise in photoactive materials and microbial-material interface analysis, the collaboration will enhance research capacity at […]

Recent advances in computational neuroscience underscore the value of biologically accurate models integrating multimodal neuroimaging to simulate brain activity realistically. Deep brain areas like the hippocampus, crucial for memory and cognition, pose challenges for non-invasive study due to their complex dynamics. The Region-Specific Brain Network Model (RSBNM) addresses this by combining Neural Mass Models, high-resolution […]

This international project brings together top neuroscience teams from McGill University (Canada) and Aix-Marseille University (France) to develop the next generation of realistic brain models. The goal is to improve how computer simulations represent the timing of signals traveling through the brain, which depends on factors like axon length, thickness, and myelination. Current models often […]

La technologie de biodétection est essentielle pour les diagnostics médicaux, la surveillance de l’environnement et la recherche biologique fondamentale. Alors que la résonance plasmonique de surface (SPR) offre une détection sans étiquette sensible aux changements d’indice de réfraction et que les capteurs à ondes acoustiques de surface (SAW) excellent dans les milieux liquides et sondent […]

Thermoelectric materials present a promising solution for sustainable energy generation, offering the potential to complement existing energy systems in everyday applications. However, the performance of conventional thermoelectric materials is largely constrained by the intrinsic properties of their bulk constituents. To overcome these limitations, reducing material weight while enhancing efficiency, adaptability, and multifunctionality is essential. One […]

This project proposes a completely novel workflow to automate the detection and quantification of bioturbation (i.e., biological sediment mixing by infaunal organisms) in deep-ocean sediment cores using the proven capabilities of neural networks in complex image interpretation. The new technique will enable precise, objective, and efficient quantification and identification of bioturbation types caused by infaunal […]

This project proposes a scalable quantum-enhanced generative model for drug discovery, targeting the design of KRAS inhibitors through the integration of Neural Quantum States (NQS), Quantum Circuit Born Machines (QCBMs), and CUDA Quantum acceleration. By replacing traditional quantum circuits with adaptive NQS representations and extending QCBM capacity to 32 qubits, the framework enables more expressive […]

This project aims to improve computational methods in quantum chemistry by developing better ways to calculate molecular properties. The research focuses on enhancing existing mathematical tools (called functionals) to make them more accurate, especially for molecular fragmentation processes. The project will create user-friendly software that will be freely available to scientists worldwide. For the participating […]