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Combining Artificial Intelligence learning with WEARable devices for improved stress diagnostics – AI-Wear
Wearable Biometric Monitoring Devices (WBMDs) represent a recent alterative for the collection of health-related data from people. WBMDs allow for continuous and real time data collection in natural settings. However, these devices face two key challenges: 1) WBMDs require seamless interfaces that a
Optimization of Mechanical Properties of BIO-sourced Epoxy Resins by ARTificial Intelligence – When Emerging Technologies and Sustainable Development Work Side by Side – BIO ART
The goal of BIO ART is to develop new bio-epoxy resins from renewable resources without bisphenol A, which is toxic to humans and the environment. BIO ART’s originality comes from the synergy between green chemistry and emerging technologies (multiscale modeling and artificial neural network) and su
Artificial Intelligence for Intermetallic Materials – AIIM
Materials science contributes to facing the challenges of our society and particularly the climate change by delivering highly optimized structural and functional materials. The relevant material classes range from structural materials like superalloys and light-weight steels for increased efficienc
ARTIFICIAL INTELLIGENCE FOR INDENTIFICATION OF WOOD AND CHARCOAL IN ARCHAELOGICAL AND PALAEOLOGICAL PERSPECTIVE – AI-WOOD
Anthracology is a robust method of studying forest stands and their transformation as a result of climatic changes or human practices, but also the uses of wood as fuel and material. This method is based on the botanical identification of wood and charcoal preserved in archaeological sites. It is b
Trustworthy and Robust Artificial INtelligence – TRAIN
Artificial Intelligence (AI) technologies can efficiently process large amounts of data, to help stakeholders improve their services and propose applications tailored to the end-user needs. While the benefits of AI technologies for the industry and the society can be manifold and range from persona
Embedded Artificial Intelligence for Quality Assurance in Additive Manufacturing and Advanced 3D Material Characterization – AIQuAM3D
AIQuAM3D is a French-German research project that will open up application fields of artificial intelligence (AI) and improve the use of AI in cutting-edge technologies. The SMEs Xploraytion (DE) and Novitom (FR), together with the research organizations SOLEIL (FR) and Fraunhofer IPK (DE), constitu
Rockfall risk: the use of Artificial Intelligence for the operational management of the risk – C2R-IA
Currently, the management of rockfall risk is mainly dealt with the construction of protective structures, which often represents a disproportionate cost compared to the financial resources of municipalities and private operators. Morever, it is often impossible to develop such solutions over an ent
Autonomous Navigation for Intelligent Vehicles and Robots – NAVIR
The NAVIR project is being led by HawAI.tech in collaboration with the Chroma team at Inria, with the aim of developing, demonstrating, and promoting the use of probabilistic approaches in mobile robotics. To do this, the research team will combine its expertise in perception and embedded navigation
Grain and food storage: co-design of local, resilient and low-carbon innovations by capitalizing on ancestral techniques, farmers' know-how and collective intelligence. – LocaStock
Storing grains and foodstuffs in local, healthy, resilient, low-carbon conditions, and without using fossil fuels, is a major challenge not only for food security and sovereignty, but also for the famous "One Health" concept. Yet very few scientific and technical references are available on this to
System On Chip Design leveraging Artificial Intelligence – SODA
Modern Day SoCs (System-on-Chips) are extremely complex systems comprising of billions of transistors, which have to be optimized for physical constraints, and verified for guaranteed bug-free operation. To manage this level of complexity, the use of automated methods, and traditional machine-learni
