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Biocene 2018This 'minds-on' workshop will explore emerging cross-discipline tools and techniques for moving Bio-Inspired Design (BID) into “standard practice” in systems engineering and engineering design. Discussion will center on state-of-the-art in BID tools, emerging toolkits for engineering innovation, and industry best practices. The aerospace industry is at a point where components are reaching design maturity and performance improvements are incremental. Aggressive goals for fuel burn reduction and the threat of climate change necessitate a new paradigm. An artificial intelligence (AI) approach that enables revolutionary changes in system architecture, mission analysis and performance metrics is needed. The growing interest and development in the field of machine learning presents an opportunity to speed up by 10 times or more the discovery, analysis and development of aerospace systems using artificial intelligence and natural systems.
Document ID
20200002035
Acquisition Source
Glenn Research Center
Document Type
Technical Memorandum (TM)
Authors
Shyam, Vikram
(NASA Glenn Research Center Cleveland, OH, United States)
Date Acquired
March 30, 2020
Publication Date
March 1, 2020
Subject Category
Aeronautics (General)
Report/Patent Number
NASA/TM-2020-220482
E-19794
GRC-E-DAA-TN60265
Funding Number(s)
WBS: 081876.01.03.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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