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CORDIS

Complex chemical reaction networks for breakthrough scalable reservoir computing

Descrizione del progetto

Creare computer chimici che imitano il nostro cervello

Il computer più efficiente al mondo è chimico: è il cervello umano. Il progetto CORENET, finanziato dall’UE, si propone di imitare la potenza di elaborazione del cervello realizzando computer che utilizzino sistemi molecolari di elaborazione delle informazioni. A tal fine, i ricercatori creeranno reti di reazioni chimiche su chip microfluidici. Queste reti possono convertire le molecole in ingresso in un modello di molecole di prodotto in base alle diverse condizioni ambientali. Il modello viene poi monitorato da una combinazione di analisi di spettrometria di massa, cheminformatica algoritmica e strumenti di intelligenza artificiale. L’obiettivo è riuscire a realizzare applicazioni future come dispositivi impiantabili, interfacce cervello-macchina e medicina personalizzata. 

Obiettivo

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.

Meccanismo di finanziamento

HORIZON-EIC - HORIZON EIC Grants

Coordinatore

UNIVERSIDAD AUTONOMA DE MADRID
Contribution nette de l'UE
€ 594 625,00
Indirizzo
CALLE EINSTEIN 3 CIUDAD UNIV CANTOBLANCO RECTORADO
28049 Madrid
Spagna

Mostra sulla mappa

Regione
Comunidad de Madrid Comunidad de Madrid Madrid
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 594 625,00

Partecipanti (3)

Partner (2)