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Robust Optimization and Digital Twins for Maritime Transition – MATritime
The maritime sector faces significant challenges: imposed reductions in the energy footprint of maritime transport, the advent of new modes of propulsion (sail, hydrogen), automation, and digitization ... At the same time, the numerical/digital revolution in naval design processes requires a great
PersonAlisation of RelApse risk in autoimmune DISEase – PARADISE
Autoimmune disease affects 10% of adults, most of whom are women, and two of the top five medications with the highest cost globally are used to maintain these recurring conditions in remission. These medications act by suppressing the immune system, leaving the patient exposed to severe infection a
Santé Education Numérique Strasbourg
Inscrit dans le cadre du plan « France 2030 », le projet SENS a plusieurs objectifs : 1- FORMER LES FUTURS PROFESSIONNELS DE SANTÉ À LA SANTÉ NUMÉRIQUE Les étudiants en santé des différents établissements partenaires (au total 1 500 étudiants par an) devront attester d’un certain
Robust and Efficient Deep Learning based Audiovisual Speech Enhancement – REAVISE
Speech enhancement is a fundamental problem in signal processing that aims to improve the quality and intelligibility of a speech signal recorded in a noisy environment. This is of paramount practical importance, e.g. for automatic speech recognition systems and hearing assistive devices. While huma
Safe perception for autonomous navigation in natural environments at the service of agroecology – AgriVia
The progress of robotics has profoundly facilitated many of the tedious and repetitive tasks of our daily lives. This is true in activities where robots evolve in structured environments, while significant needs emerge in open and natural environments. This is the case in agriculture, a sector where
Speech-in-noise Intelligibility Deficits: Designing Psychophysical and Electrophysiological Markers of Spectral Shape-Coding Sensitive to Cochlear Synaptopathy – INSPECTSYN
At present, it is estimated that over 10% of individuals with clinically-normal audiograms have significant difficulty understanding speech-in-noise (SPiN). In particular, synaptopathy - the loss of synapses connecting the cochlea to the auditory nerve, caused by aging or noise exposure - is thought
CompreHending And Mitigating Error in AnaLog ImplEmentations of On-Die Neural Networks – CHAMELEON
Artificial intelligence, in general, and neural networks, in particular, are used in myriads of contemporary applications. While software and/or digital hardware implementations of neural networks currently enjoy the lion's share of the market, a number of emerging realities are necessitating the de
Plankton biodiversity through remote sensing and omics in the Mediterranean Sea – PETRI-MED
The objective of PETRI-MED is to develop novel strategies to determine and monitor the status and trends of microbial plankton biodiversity in the entire Mediterranean Sea, supporting the assessment of the impact of ecological connectivity on local biodiversity and ecosystem functioning. This wil
Full-stack Optimization of Ultra-low-power TPGs for Intelligent Cyberphysical Systems – foutics
The increasing complexity of deep neural network based artificial intelligence (AI) is creating a challenge for embedding AI in ultra-low power (ULP) Internet-of-Things (IoT) devices and Cyber- Physical Systems (CPS). The aim of the FOUTICS project is to propose full-stack methods to train and infer
