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From molecular and cellular information processing networks to ecologies, economies and brains, life computes. Despite ubiquitous agreement on this fact going back as far as von Neumann automata and McCulloch–Pitts neural nets , we so far lack principles to understand rigorously how computation is done in living, or active, matter".
The development of biocomputers has been made possible by the expanding new science of nanobiotechnology. The term nanobiotechnology can be defined in multiple ways; in a more general sense, nanobiotechnology can be defined as any type of technology that uses both nano-scale materials (i.e. materials having characteristic dimensions of 1-100 ...
Bio-inspired computing, short for biologically inspired computing, is a field of study which seeks to solve computer science problems using models of biology. It relates to connectionism, social behavior, and emergence. Within computer science, bio-inspired computing
Some claim that many of the allegedly real creatures from the Fortean archives (see also: Fortean Times and William R. Corliss) and related reports of anomalous phenomena [18] are actually of extraterrestrial or mixed origin, such as in the extraterrestrial hypothesis, the interdimensional hypothesis, or the cryptoterrestrial hypothesis.
The term human biocomputer, coined by Lilly, refers to the "hardware" of the human anatomy.This would include the brain, internal organs, and other human organ systems such as cardiovascular, digestive, endocrine, immune, integumentary, lymphatic, muscular, nervous, reproductive, respiratory, skeletal, and urinary systems.
New materials could help scientists borrow the performance of the brain for computing, they hope
Mathematical biology is the use of mathematical models of living organisms to examine the systems that govern structure, development, and behavior in biological systems. This entails a more theoretical approach to problems, rather than its more empirically-minded counterpart of experimental biology. [13]
Bioinformatics uses biology, chemistry, physics, computer science, data science, computer programming, information engineering, mathematics and statistics to analyze and interpret biological data. The process of analyzing and interpreting data can sometimes be referred to as computational biology , however this distinction between the two terms ...
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