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Towards a PREcise DIagnosis in Ciliopathies – PREDICT
Ciliopathies are rare Mendelian disorders caused by dysfunction of primary cilia, sensory organelles protruding from the cell surface playing a crucial role in signal transduction during development and cell function. Clinically, ciliopathies can involve most organ systems, displaying substantial ph
Maximising resource use efficiency within the energy, water and nutrient nexus for sustainable agriculture in Mediterranean marginal environments – PureCircles
In the Mediterranean, freshwater availability is put under increasing pressure by global warming, land use changes, and water abstraction. Moreover, deteriorating water and soil quality put agricultural productivity and safe water supply for the population at further risk and urgently demand sustain
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
Toolbox and mEthodology for waTeR based Ai projects – TETRA
The tools provided will save AI projects time and money. Authorities and SMEs alike will be supported to keep rivers resilient and healthy. As part of TETRA, an AI toolkit is being developed specifically for the needs of the water sector to implement common use cases. Over the course of the projec
Artificial Intelligence for forest monitoring from space – AI4Forests
Managing and conserving forest ecosystems in Europe and worldwide is an indispensable component of climate adaptation and climate change mitigation strategies. Precise and up-to-date information about the health and the carbon balance of forests are, hence, critical to assess the current state of fo
AI system to solve the limited-data challenge for Robotic X-ray quality control of large objects – RoboQuality
Today, robotic tomography systems are able to inspect the internal and external parts of large objects, which opens up new possibilities for applications in sectors such as automotive or aeronautics. In order to be able to carry out the 3D reconstruction of the inspected object, a sufficient number
Railway EffIcieNcy Fostered by Operations ResearCh EmpoweRing Articificial InteLligence – REINFORCERAIL
In REINFORCERAIL, we aim to combine Artificial Intelligence (AI) and Operations Research (OR)-based approaches for railway traffic management. In particular, we address two research questions: 1. How can AI help find traffic management decisions in real-world circumstances: within short times and
Distributed AI for the Operating Room – DAIOR
DAIOR (Distributed Artificial Intelligence for the OR) aims to develop AI-driven technologies to improve outcomes of patients undergoing surgery, by integrating and analysing massive multimodal data generated in the operating room (OR) in real time through a distributed approach. We envision a futur
