Scientists demonstrate chemical reservoir computation using the formose reaction
Researchers at Radboud University demonstrated using self-organizing chemical reactions for computational tasks. Led by Prof. Wilhelm Huck, they explored chemical systems' computational potential, showcasing tasks like nonlinear classification and prediction. This novel approach bridges artificial and biological systems, offering scalability and flexibility.
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Researchers from Radboud University in the Netherlands have showcased the use of a self-organizing chemical reaction network, specifically the formose reaction, for computational tasks like nonlinear classification and dynamic prediction. Led by Prof. Wilhelm Huck, the team explored the computational potential of chemical and biological systems, where reactions act as reservoir computers. Unlike traditional programming, this approach leverages the inherent properties of complex chemical systems for computation. By implementing the formose reaction in a continuous stirred tank reactor, the researchers demonstrated tasks like nonlinear classification, metabolic network modeling, and chaotic system prediction. The system showed short-term memory capabilities and the potential for fully chemical readouts. This novel molecular computing approach could bridge artificial and biological systems, offering scalability and flexibility for autonomous chemical information processing. The research also hints at insights into the origins of life and applications in neuromorphic computing. Prof. Huck's team aims to further explore the computing power of this system in collaboration with IBM Zurich, focusing on energy-efficient neuromorphic computing.
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