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Financement de l’UE (3 461 780 €) : Réseaux neuronaux à partir d’iPSC corticaux humains pour le traitement de l’apprentissage automatique - NEU-ChiP Hor28/01/2021 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
Réseaux neuronaux à partir d’iPSC corticaux humains pour le traitement de l’apprentissage automatique - NEU-ChiP
The EU and the rest of the world increasingly rely on artificial intelligence (AI) and machine learning (ML) for everyday functioning. Applications range from decision making in areas such as health and finance, face recognition, autonomous vehicle control, speech recognition and interaction with the internet and social media platforms. Estimated annual global spend on ML and AI is $77.6B in 2022 with a business value of $3.9T. However, current deep-learning machines suffer from inherent and difficult limitations: architectures not adaptable, ineffective learning rules, long training times and computing power, making advances unsustainable. The NeuChiP project will tackle this issue. We will use emerging stem cell technology to make human neuronal networks that self-organise developmentally using the rules that form the brain. Networks will be made of layered cortical structures and hubs, with guided directional network connections and housed in a fabricated assembly. Input will be by patterned light at cells expressing optogenetic actuators, and output recorded via high resolution 3D multielectrode arrays. Intrinsic physiological mechanisms will enable them to undergo plasticity to designated input patterns. NeuChip will surpass the abilities of conventional artificial neural networks by conducting tasks in dynamically changing environments, exploiting the adaptive, complex and exploratory nature of biological human neural systems. To achieve this we have assembled a cross-disciplinary consortium of neuroscientists, stem cell biologists, bioelectronics developers, statistical physicists, together with machine learning and neuromorphic computing experts. We expect that within 15 years NeuChiP technology, using biological learning rules and powerful human-brain-based circuits will lead to novel and widespread advances in machine learning abilities and beyond, leading to a paradigm-shift in AI technology and applications to benefit society.
| 3Brain AG | 530 243 € |
| Aston University | 1 047 727 € |
| Centre National de la Recherche Scientifique CNRS | 375 075 € |
| Loughborough University | 578 034 € |
| Technion - Israel Institute OF Technology | 394 951 € |
| Universitat de Barcelona | 535 750 € |
https://cordis.europa.eu/project/id/964877
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.