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Complex chemical reaction networks for breakthrough scalable reservoir computing

Project description

Creating chemical computers which mimic our brains

The most efficient computer in the world is chemical – the human brain. The EU-funded CORENET project seeks to mimic the brain’s processing power by making computers that use molecular information processing systems. To do this, researchers will create chemical reaction networks on microfluidic chips. These networks can convert input molecules into a pattern of product molecules based on different environmental conditions. The pattern is then monitored by a combination of mass spectrometry analysis, algorithmic cheminformatics and artificial intelligence tools. The goal is to enable future applications such as implantable devices, brain–machine interfaces and personalised medicine. 

Objective

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.

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Coordinator

UNIVERSIDAD AUTONOMA DE MADRID
Net EU contribution
€ 594 625,00
Address
Calle einstein 3 ciudad univ cantoblanco rectorado
28049 Madrid
Spain

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Higher or Secondary Education Establishments
Links
Other funding
€ 0,00

Participants (3)

Partners (2)