DNA-based neural network learns from examples to solve problems – New Study/Science Updates
Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead of electronic parts that carries out computation through chemical reactions rather than digital signals.
Summary
Caltech researchers are developing DNA-based neural networks, moving away from traditional silicon-based systems. Inspired by the human brain’s structure and function, these networks utilize strands of DNA to perform computations through chemical reactions. This innovative approach replaces electronic components and digital signals with biochemical processes, potentially offering new avenues for computing and problem-solving. The shift to DNA-based networks explores the potential of biological materials in mimicking brain-like information processing.
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