L’un des défis les plus actuels des agents d’apprentissages autonomes (ou I.A.) appliqués aux outils médicaux est la capacité de les appliquer pour des systèmes embarqués sur appareils de petite taille, portables ou même directement embarqués dans le corps humain. En interface neuronales, le développement de compagnies comme Neuralink consiste principalement dans la miniaturisation de […]

Les pompes à chaleur à haute température (PACHT) peuvent répondre à la demande thermique de diverses applications. Elles peuvent être utilisées pour des applications résidentielles, commerciales et industrielles et fournir à la fois le chauffage et l’eau chaude. Selon le site officiel du gouvernement du Canada, les thermopompes sont une technologie éprouvée et fiable au […]

Single-cell -Omics analysis methods are having a transformational impact on research in the life sciences. Specifically, the capacity to assess genomes, transcriptomes, or proteomes of individual cells in place of (or in addition to) measuring the average signals from populations of cells allows researchers to ask and answer questions that have never been accessible until […]

The quantum internet is predicted to have a substantial impact on our modern society, enabling the transfer of information through networks (so-called quantum networks) with unprecedented security compared to our current, classical protocols. Although small-scale, proof-of-principle quantum network experiments using photons (quanta of light) have already shown great promise, the scaling of these experiments into […]

The gut microbiome plays a highly important role in metabolic health of animals, as has been demonstrated by several studies in the last decade. It encodes a series of enzymes and produces compounds which are not available in human cells, that play a role in functions as important as the breaking down of complex food […]

A crucial reason that it is possible to train ML systems to outperform human experts in narrow domains such as protein folding or chess, is because for these well-defined problems, it is easy to produce a reliable reward signal. However, current techniques for aligning frontier models with human goals, such as human feedback, are only […]

As atmospheric CO2 levels rapidly increase due to industrialization, electrocatalytic reduction technology using renewable energy to convert CO2 (CO2RR) into valuable multi-carbon products such as ethylene, ethanol, and propanol is in the spotlight. Copper is the only metal that can form these C2+ products due to its unique properties. Despite many studies, morphological and chemical […]

Ce travail porte sur la formulation et l’étude du comportement hygrothermique de blocs de terre comprimée (BTC) stabilisés et améliorés par l’ajout d’un liant organique à base d’amidon, à des sols disponibles localement. Le but ultime est de diminuer les coûts et l’impact carbone des constructions. Les premiers résultats obtenus concernent la caractérisation physique, mais […]

This project focuses on enhancing agricultural resilience to climate change by incorporating neural network-based optimization into weather index insurance designs. By utilizing advanced machine learning techniques, the initiative aims to improve the accuracy and appeal of insurance products for the agricultural sector, which is highly vulnerable to climate-induced weather unpredictability. The collaboration involves academia and […]

This project proposes a comprehensive analysis of the impact of environmental stress on Antarctic fish, utilizing an integrated approach that combines biophysical and genomic analyses to study adaptation mechanisms. By integrating disciplines, including physics and biology, this research aims to enhance our understanding of evolutionary processes and adaptation strategies of organisms in extreme environments, such […]