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Unsupervised spiking neural networks with analog memristive devices for edge computing – UNICO
represent one of the big challenges for artificial intelligence (AI) deployment. These hardware systems present
Open data, tools and challenges for speaker anonymization – Harpocrates
identifiable information while retaining intelligibility and quality. Anonymized speech signals can
Anticipating, deciphering, imicking molecular complexity of natural substances – ANTIDEPRIM
Natural substances (aka specialized metabolites) appeared from the emergence of the first life forms as a means of adaptation to the environment. Biosynthetic pathways have evolved from primary metabolic pathways leading to molecular structures of sometimes incredible complexity. Understanding the origin of molecular complexity - and even anticipating it - is the main goal of this ambitious project.
Learning for proximity flying – Proxilearn
The Proxilearn project leverages artificial intelligence techniques (machine learning) to allow micro-UAVs
AI for paedriatric neurorehabilitation – AI-4-CHILD
Artificial intelligence (AI), in its modern form, is profoundly changing many areas, including health
SPATIAL CONTROL WITH HEXAMERIC PROTEIN PLATFORMS – SPACEHex
interfaces. Rapid and efficient artificial intelligence algorithms for automated reasoning (“cost function
Segmentation of Neurons using Standard and Super-Resolution Microscopy – SENSEI
molecular levels through the development of intelligent segmentation-based image processing algorithms
Adaptive introgression in Pearl Millet – PEMILADAPT
ghout genomic sequencing and for artificial intelligence for powerful machine learning approaches, the
Smart Autonomous Microscopy – SAMic
Our goal is to automate disturbance microscopy experiments for non-expert microscopy users and HCS applications.
Stabilization process in marine surface robotics inspired by swimming snakes – SSSNAEQ
A new generation of robots inspired by the swimming of aquatic snakes has recently emerged in academic contexts. Thanks to their exceptional manoeuvrability, they could intervene urgently in complex situations. However, despite this potential, their surface stability is too precarious. The SSSNAEQ project aims to remove the scientific barriers to surface instability by taking inspiration from snakes,