By National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Frontiers at the Interface of Computing and Biology, Herbert S. Lin, John C. Wooley

Advances in laptop technological know-how and know-how and in biology over the past numerous years have unfolded the chance for computing to assist resolution basic questions in biology and for biology to aid with new ways to computing. benefiting from the examine possibilities on the interface of computing and biology calls for the energetic participation of individuals from either fields. whereas earlier makes an attempt were made during this course, situations at the present time seem to be even more favorable for growth. to aid benefit from those possibilities, this examine was once asked of the NRC via the nationwide technological know-how origin, the dep. of security, the nationwide Institutes of well-being, and the dep. of power. The document presents the root for developing cross-disciplinary collaboration among biology and computing together with an research of strength impediments and techniques for overcoming them. The record additionally provides a wealth of examples that are meant to inspire scholars within the organic sciences to appear for methods to let them to be more advantageous clients of computing of their reviews.

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19 This was meant to be used as a model of biological neurons, not merely as an abstract computational processing approach. Research on neural nets continued throughout the next decades, focusing on network architectures (particularly random and layered), mechanisms of self-assembly, and pattern recognition and classification. 20 However, lack of progress caused a loss of interest in neural networks in the late 1970s and early 1980s. Hopfield revived interest in the field in 1982,21 and progress throughout the 1980s and 1990s established neural networks as a standard tool for learning and classifying patterns.

26G. A. Corbi, “The Dawning of the Autonomic Computing Era,” IBM Systems Journal 42(1):5-18, 2003. Copyright © National Academy of Sciences. All rights reserved. html 19 INTRODUCTION some parts to malfunction in a manner analogous to the healing of a biological system, and to protect itself against dangers in its (open) environment. 5 BACKGROUND, ORGANIZATION, AND APPROACH OF THIS REPORT To better understand potential synergies at the BioComp interface and to facilitate the development of collaborations between scientific communities in both fields that can better exploit these synergies, the National Research Council established the Committee on Frontiers at the Interface of Computing and Biology.

Autonomic computing is inspired by biology in the sense that biological systems—and in particular the autonomic nervous system—are capable of doing many things that would be desirable in complex computing systems. Autonomic computing is conceived as a way to manage increasingly complex and distributed computing environments as traditional approaches to system management reach their limits. R. Koza, “Genetically Breeding Populations of Computer Programs to Solve Problems in Artificial Intelligence,” pp.

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