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By Wim Verhaegh, Emile Aarts, Jan Korst
The swift development in digital platforms some time past decade has boosted study within the zone of computational intelligence. because it has turn into more and more effortless to generate, acquire, shipping, strategy, and shop large quantities of information, the position of clever algorithms has develop into fashionable that allows you to visualize, manage, retrieve, and interpret the information. for example, clever seek ideas were built to look for suitable goods in large collections of web content, and information mining and interpretation options play a vital function in making feel out of massive quantities of biomolecular measurements. for that reason, the further price of many smooth structures isn't any longer decided through purely, yet more and more by way of the clever software program that helps and allows the consumer in figuring out his or her objectives.
This publication is the end result of a sequence of discussions on the Philips Symposium on clever Algorithms, which was once held in Eindhoven in December 2004. It includes many fascinating and useful examples of using clever algorithms within the components of ambient and biomedical computing. It comprises issues similar to bioscience computing, database layout, laptop realization, scheduling, video summarization, audio category, semantic reasoning, computer studying, monitoring and localization, safe computing, and communique.
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Keywords DNA computing, aqueous computing, molecular computing. 1 Introduction The advances in biology since the discovery of the structure of the double helix in 1953 can be only described as big strides. New areas of biology have been born giving rise to new approaches in widely varied fields such as agriculture, medicine, and forensics. Most prominently, genomics and proteomics have greatly improved our knowledge of the components of biological systems at the molecular level. Scientists have elucidated the complete gene sequences of several model organisms and provided general understanding of the molecular machinery involved in gene expression.
2 DNA computing DNA computing is a form of computing that uses DNA and molecular biology, instead of the traditional silicon-based computer technologies. This field was started by Leonard Adleman of the University of Southern California [Adleman, 1994]. In 1994, Adleman demonstrated a proof-of-concept use of DNA as form of computation that was used to solve the Hamiltonian path problem. Since the initial Adleman experiments, DNA computing has made advances and has shown to have potential as a means to solve several large-scale combinatorial search problems.
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