1. Abstract Machine Learning, 3D Printing Airplanes, Learning Flight From Flies episode artwork

EPISODE · Jan 19, 2021 · 16 MIN

1. Abstract Machine Learning, 3D Printing Airplanes, Learning Flight From Flies

from The Next Byte · host Farbod Moghaddam, Daniel Scott Mitchell

(0:40) The next stop in machine learning: making sense of abstract concepts - Researchers from MIT, IBM, and Columbia created a machine learning model that exhibits abstract reasoning.  (6:00) How additive manufacturing can shift manufacturing methodologies in the airline industry - EOS and other 3D printing companies are changing the airline industry’s manufacturing methods, starting with interiors. (12:15) Can flies hold the secret to enable enhanced robotic flight? - Penn State researchers crack the code to improve robotic flight by studying the behavior of fruit flies.  --About the podcast:Every day, some of the most innovative universities, companies, and individual technology developers share their knowledge on Wevolver. To ensure we can also provide this knowledge for the growing group of podcast listeners, we started a collaboration with two young engineers, Daniel Scott Mitchell & Farbod Moghaddam who discuss the most interesting content in this podcast series. To learn more about this show, please visit the shows page. By following the page, you will get automatic updates by email when a new show is published.Be sure to give us a follow and review on Apple podcasts, Spotify, and most of your favorite podcast platforms! Become a founding reader of our newsletter: http://read.thenextbyte.com/ As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.

Episode metadata supplied by the publisher feed · Published Jan 19, 2021

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The next step in machine learning, how 3D printing will change the airline industry, and why flies hold the secret to robotic flight. As always, you can find these articles and other interesting engineering content on Wevolver.com.

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1. Abstract Machine Learning, 3D Printing Airplanes, Learning Flight From Flies

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