Biological Computing
Book •
Jin Xu's 'Biological Computing' surveys computational models and systems inspired by biological processes, exploring how principles from biology can inform new computing paradigms.
The book covers theoretical foundations, architectures, and experimental implementations that leverage features like parallelism, adaptability, and energy efficiency found in living systems.
It discusses applications ranging from bio-inspired algorithms to hardware and wetlab implementations, and addresses challenges in encoding, learning, and interfacing biological substrates with electronic systems.
The text provides both conceptual background and technical detail useful for researchers and practitioners interested in interdisciplinary approaches to computing.
It situates biological computing within broader trends in neuromorphic and unconventional computation, highlighting potential advantages and ethical considerations.
The book covers theoretical foundations, architectures, and experimental implementations that leverage features like parallelism, adaptability, and energy efficiency found in living systems.
It discusses applications ranging from bio-inspired algorithms to hardware and wetlab implementations, and addresses challenges in encoding, learning, and interfacing biological substrates with electronic systems.
The text provides both conceptual background and technical detail useful for researchers and practitioners interested in interdisciplinary approaches to computing.
It situates biological computing within broader trends in neuromorphic and unconventional computation, highlighting potential advantages and ethical considerations.
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State of the Art of Biological Computing • Ewelina Kurtys & Charles Humble
