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Everything about Natural computing

Methods that imitate, replicate or use natural processes

Natural computing, also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials to compute. The main fields of research that compose these three branches are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, fractal geometry, artificial life, DNA computing, and quantum computing, among others. However, the field is more related to biological computation. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Natural computingA 5-minute orientation
  2. Skim a recent paper: Spectral convolutional neural network chip for in-sensor edge computing of incoherent natural lightInfluential work since 2022
  3. Pick up a classic book: Computational Linguistics and Intelligent Text ProcessingThe most-reprinted book on the subject
  4. Read the landmark paper: MAPMAKER: An interactive computer package for constructing primary genetic linkage maps of experimental and natural populationsCited 4,897 times
  5. Go sideways: Computational biologyA closely related topic
  6. Go sideways: Evolutionary computationA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Nature-inspired models of computation
  2. Synthesizing nature by means of computing
  3. Nature-inspired novel hardware
  4. Nature as information processing

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics