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Pyrotechnical safety-critical system – STEPY
Developing solutions to ensure the physical security of highly sensitive and confidential components and data is essential for our society to thrive. However, despite the diversity of software and hardware protection solutions available today, their effectiveness does not always reach 100%. In a geo
QUANTum mechAnicS for prediction and arTificial Intelligence for early thermal runaway deteCtion and mitigation – QUANTASTiC
Thermal runaway remains a significant safety risk in the chemical industry, accounting for nearly 25% of accidents. The QUANTASTIC project aims to develop multifactorial kinetic models essential for identifying risks and optimizing chemical processes. It also seeks to innovate early detection by com
Quantitative 3D ultrasound brain imaging: development of new bedside biomarkers to better predict neurodevelopmental outcomes in preterm infants – QUSBI
White matter lesions are one of the main risk factors for neurodevelopmental disorders (NDD) in premature infants, and among these, punctate white matter lesions (PWMLs) are the most frequent. MRI is the reference brain imaging technique, but it has certain limitations (poor accessibility, low port
Quantitative pH mapping in skeletal muscle using CEST MRI as an imaging outcome measure in the disease progression of neuromuscular disorders – CEST-pHou
In this proposal, the main objective is to optimize Chemical Exchange Saturation Transfer (CEST) magnetic resonance imaging (MRI) for pH mapping on a 3-T clinical scanner in skeletal leg muscle of patients with neuromuscular disorders. Using MR spectroscopy (MRS), we have shown the interest of ass
Quantum Machine Learning: Foundations and Algorithms – QuantML
Quantum Machine Learning is an emerging field of research, with fast growth. This research field is largely driven by the desire to develop artificial intelligence that uses quantum technologies to improve the speed and performance of learning algorithms. Strong interdisciplinary collaborations are
RADIation-induced neurOtoxicity assessed by spatio-temporal modelling combined with Artificial Intelligence after brain raDiothErapy – RADIO-AIDE
RADIO-AIDE is a multidisciplinary project that aims to develop advanced spatio-temporal models and new Artifical Intelligence tools for brain Magnetic Resonance Imaging (MRI) data processing to : a) generate new knowledge about the underlying neurotoxic mechanisms implied in the initiation and tempo
REal-time artiFicial INtelligence for hEaring aiDs – REFINED
About 466 million people worldwide suffer from hearing loss. Of these, 34 million live in the EU and 6 million in France. With the aging of the world's population, this number is expected to increase to 900 million by 2050, WHO says. Still according to the WHO, disabling hearing loss can lead to dep
REliable hardware for TRUSTworthy artificial INtelliGence – RE-TRUSTING
Artificial Intelligence (AI) algorithms, and in particular Deep Neural Networks (DNNs), typically run in the cloud on clusters of CPUs and GPUs. To be able to run DNNs algorithms out of the cloud and onto distributed Internet-of-Things (IoT) devices, customized HardWare platforms for Artificial Inte
REsource efficient tunnelling based on real-time excavation MATerial CHaracterisation – REMATCH
In recent years, the issue of resource efficiency has also become increasingly important in construction engineering, as soil and rock account for more than 50% of mineral construction waste. Tunnel projects play a special role in this regard, as large quantities are generated at specific times and
ROBOTIC BIOPSY OF THE UTERUS STANDARDIZED TECHNIQUE – ROBUST
Several studies and a FDA report clearly demonstrate the critical importance of a diagnosis tool allowing to differentiate benign and malignant tumours before a uterine minimally-invasive operation. The problem is, among the numerous diagnostic tools used by clinicians to evaluate women with tumour,
