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All, Robotics, Artificial Intelligence, Autonomous Vehicles

- Aug 28, 2019

Machine learning to improve NASA's space travel

Pollyanna Sidell - Associated Environmental Systems

NASA needs spacecraft that's lighter and more damage tolerant.

Randy Paffenroth, has a multi-part mission in this research project. His mathematical machine learning uses an algorithm that will look at the material's uniformity and detect imperfections with higher resolution images.  the machine learning happens because the algorithm learns from previous scans further improving future scans.

He and his team will also develop algorithms to be used in active feedback control systems to predict how good a particular piece of material will be as it's first being made, helping to ensure a more consistent end product. The algorithm analyzes the properties measured at the beginning of the manufacturing run to effectively predict the properties at the end of the run, including mechanical properties and length of run.

Researcher: RANDY PAFFENROTH, ASSOCIATE PROFESSOR OF MATHEMATICAL SCIENCES AT Worcester Polytechnic Institute and working with Nanocomp Technologies, Inc.

 

 

View the original article at EurekAlert! Science News

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