Complex chemical reaction networks for breakthrough scalable reservoir computing
CORENET aims to develop brain-inspired computing devices using chemical reaction networks on microfluidic chips for sustainable AI applications in personalized medicine and brain-machine interfaces.
Projectdetails
Introduction
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.
Project Goals
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
- AI tools
Breakthrough in Chemical RC
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
- 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.
Sustainable AI
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
- Personalised medicine
Team Composition
CORENET brings together 4 leading scientists with complementary 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.
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.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.047.125 |
Totale projectbegroting | € 2.047.125 |
Tijdlijn
Startdatum | 1-4-2022 |
Einddatum | 31-3-2026 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- UNIVERSIDAD AUTONOMA DE MADRIDpenvoerder
- STICHTING RADBOUD UNIVERSITEIT
- AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
- SYDDANSK UNIVERSITET
- IBM RESEARCH GMBH
- ACCELOPMENT SCHWEIZ AG
Land(en)
Vergelijkbare projecten binnen EIC Pathfinder
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Reaction robot with intimate photocatalytic and separation functions in a 3-D network driven by artificial intelligenceCATART aims to develop autonomous reaction robots using AI and 3-D quantum dot networks to efficiently mimic natural chemical production, enhancing productivity and sustainability in the chemical industry. | EIC Pathfinder | € 2.871.775 | 2022 | Details |
Distributed and federated cross-modality actuation through advanced nanomaterials and neuromorphic learningCROSSBRAIN aims to revolutionize brain condition treatment using implantable microbots for real-time, adaptive neuromodulation and sensing in rodent models of Parkinson's Disease and Epilepsy. | EIC Pathfinder | € 4.034.074 | 2022 | Details |
QUantum reservoir cOmputing based on eNgineered DEfect NetworkS in trAnsition meTal dichalcogEnidesThis project aims to develop a proof-of-concept for Quantum Reservoir Computing using Quantum Materials defects to create advanced computing devices and enhance Quantum Technologies. | EIC Pathfinder | € 2.675.838 | 2024 | Details |
Hybrid electronic-photonic architectures for brain-inspired computingHYBRAIN aims to develop a brain-inspired hybrid architecture combining integrated photonics and unconventional electronics for ultrafast, energy-efficient edge AI inference. | EIC Pathfinder | € 1.672.528 | 2022 | Details |
In-situ & operando organiC electrochemical transistors monitored by non-destructive spectroscopies for Organic cmos-like NeuromorphIc CircuitsICONIC aims to advance implantable AI organic electronic devices for chronic disease management by investigating PMIECs, leading to smart drug-delivery systems with enhanced accuracy and safety. | EIC Pathfinder | € 2.664.940 | 2024 | Details |
Reaction robot with intimate photocatalytic and separation functions in a 3-D network driven by artificial intelligence
CATART aims to develop autonomous reaction robots using AI and 3-D quantum dot networks to efficiently mimic natural chemical production, enhancing productivity and sustainability in the chemical industry.
Distributed and federated cross-modality actuation through advanced nanomaterials and neuromorphic learning
CROSSBRAIN aims to revolutionize brain condition treatment using implantable microbots for real-time, adaptive neuromodulation and sensing in rodent models of Parkinson's Disease and Epilepsy.
QUantum reservoir cOmputing based on eNgineered DEfect NetworkS in trAnsition meTal dichalcogEnides
This project aims to develop a proof-of-concept for Quantum Reservoir Computing using Quantum Materials defects to create advanced computing devices and enhance Quantum Technologies.
Hybrid electronic-photonic architectures for brain-inspired computing
HYBRAIN aims to develop a brain-inspired hybrid architecture combining integrated photonics and unconventional electronics for ultrafast, energy-efficient edge AI inference.
In-situ & operando organiC electrochemical transistors monitored by non-destructive spectroscopies for Organic cmos-like NeuromorphIc Circuits
ICONIC aims to advance implantable AI organic electronic devices for chronic disease management by investigating PMIECs, leading to smart drug-delivery systems with enhanced accuracy and safety.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Neuromorphic computing system for real-time signal monitoring and classification with ultra-low-power 2D devicesThis project aims to develop a neuromorphic computing system using 2D semiconductor-based charge trap memory for efficient, low-power detection and classification of electrophysiological signals. | ERC Proof of... | € 150.000 | 2024 | Details |
Memristive self-organizing dendrite networks for brain-inspired computingThe MEMBRAIN project aims to develop self-organizing memristive nanonetworks for efficient, nature-inspired computing that mimics biological neural circuits, enhancing adaptability and intelligence. | ERC Starting... | € 1.487.500 | 2025 | Details |
Neuromorphic Flexible Electro/chemical Interface for in-Memory Bio-Sensing and Computing.Develop a miniaturized, self-contained biosensing technology using neuromorphic devices for real-time monitoring and classification of neurodegenerative biomarkers in individualized healthcare. | ERC Starting... | € 1.500.000 | 2025 | Details |
Neuromorphic Learning in Organic Adaptive Biohybrid SystemsThis project aims to develop a neuromorphic bioelectronic platform for adaptive control of soft robotic actuators using organic materials and local biosignal modulation. | ERC Consolid... | € 1.996.143 | 2024 | Details |
Energy transduction in KInetically asymmetric catalytic NETworksKI-NET aims to develop a biomimetic strategy for catalysis-driven endergonic processes, enabling breakthroughs in artificial systems, energy management, and material science. | ERC Starting... | € 1.786.748 | 2022 | Details |
Neuromorphic computing system for real-time signal monitoring and classification with ultra-low-power 2D devices
This project aims to develop a neuromorphic computing system using 2D semiconductor-based charge trap memory for efficient, low-power detection and classification of electrophysiological signals.
Memristive self-organizing dendrite networks for brain-inspired computing
The MEMBRAIN project aims to develop self-organizing memristive nanonetworks for efficient, nature-inspired computing that mimics biological neural circuits, enhancing adaptability and intelligence.
Neuromorphic Flexible Electro/chemical Interface for in-Memory Bio-Sensing and Computing.
Develop a miniaturized, self-contained biosensing technology using neuromorphic devices for real-time monitoring and classification of neurodegenerative biomarkers in individualized healthcare.
Neuromorphic Learning in Organic Adaptive Biohybrid Systems
This project aims to develop a neuromorphic bioelectronic platform for adaptive control of soft robotic actuators using organic materials and local biosignal modulation.
Energy transduction in KInetically asymmetric catalytic NETworks
KI-NET aims to develop a biomimetic strategy for catalysis-driven endergonic processes, enabling breakthroughs in artificial systems, energy management, and material science.