DNA-Based Neural Network Learns From Examples to Solve Problems

DNA-based neural network learns from examples to solve problems

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.

Supervised learning in DNA neural networks

Learning enables biological organisms to begin life simple yet develop immensely diverse and complex behaviours. Understanding learning principles in engineered molecular systems could enable us to endow non-living physical systems with similar capabilities. Inspired by how the brain processes information, the principles of neural computation have been developed over the past 80 years1, forming the foundation of modern machine learning. More tha…

DNA-based neural network learns from examples to solve problems - Tech and Science Post

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. An important property of any neural network is the ability to learn by taking in information and retaining it for future decisions. Now, resear…