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CORDIS - Resultados de investigaciones de la UE
CORDIS

Complex chemical reaction networks for breakthrough scalable reservoir computing

Descripción del proyecto

Creación de ordenadores químicos que imitan nuestro cerebro

El ordenador más eficiente del mundo es químico: el cerebro humano. El equipo del proyecto CORENET, financiado con fondos europeos, pretende imitar la capacidad de procesamiento del cerebro fabricando ordenadores que utilicen sistemas de procesamiento de información molecular. Para ello, los investigadores crearán redes de reacciones químicas en chips microfluídicos. Estas redes pueden convertir las moléculas de entrada en un patrón de moléculas de producto en función de las diferentes condiciones ambientales. A continuación, el patrón se supervisa mediante una combinación de análisis de espectrometría de masas, algoritmos quimioinformáticos y herramientas de inteligencia artificial. El objetivo es posibilitar futuras aplicaciones como dispositivos implantables, interfaces cerebro-ordenador y medicina personalizada. 

Objetivo

The brain is the world’s most amazing computer and it runs entirely on chemical reactions. The vision of CORENET is to construct brain-mimicking computing devices that utilise networks of chemical reactions as molecular information processing systems. To achieve this vision, we will implement reservoir computing (RC) on microfluidic chips using chemical reaction networks (CRNs) that convert input feedstock molecules and environmental conditions into a pattern of product molecules. This pattern can be monitored on a chip using a combination of high-throughput mass spectrometry analysis, algorithmic cheminformatics and AI tools.
CORENET will generate a breakthrough in highly scalable and functional chemical RC by integrating our partners’ new knowledge and state-of-the-art methodologies in systems and analytical chemistry, microfluidics, cheminformatics and machine learning. CORENET will produce microfluidic chip devices that perform high-level computing with molecules, synthesising and analysing a pattern of output molecules in situ. This molecule-based computing power enables truly sustainable AI and speaks the language of living systems, which constantly process information about their molecular environment. Future applications of our chemical RC system lie in implantable devices, brain-machine interfaces and personalised medicine.
CORENET brings together 4 leading scientists with complimentary expertise that covers all fundamental aspects of this project. Their expertise is combined with the world-class knowledge in AI/ML modelling of a high-tech global industry partner with unique research and computing infrastructure, while an SME specialised in the communication and dissemination of results will ensure maximised impact. Our highly interdisciplinary team will generate new scientific knowledge and breakthrough technologies to achieve essential priorities for Europe`s future and its support to the UN Sustainable Development Goals.

Régimen de financiación

HORIZON-EIC - HORIZON EIC Grants

Coordinador

UNIVERSIDAD AUTONOMA DE MADRID
Aportación neta de la UEn
€ 594 625,00
Dirección
CALLE EINSTEIN 3 CIUDAD UNIV CANTOBLANCO RECTORADO
28049 Madrid
España

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Región
Comunidad de Madrid Comunidad de Madrid Madrid
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
€ 594 625,00

Participantes (3)

Socios (2)