SAE Eye on Engineering Quick Take: More learning for Machine Learning

  • 19-Oct-2016 10:39 EDT
10.17title.jpg

Watch the video at video.sae.org/12225.

Before self-driving cars are safe for public roads, a technology called "Machine Learning" will have to be far more capable than it is today. In this episode of SAE Eye on Engineering, Editor-In-Chief Lindsay Brooke looks at the challenges facing autonomous vehicles. SAE Eye on Engineering can be viewed at video.sae.org/12225. It also airs in audio-only form Monday mornings on WJR 760 AM Detroit's Paul W. Smith Show. Access archived episodes of SAE Eye on Engineering at sae.org/magazines/podcasts.

Share
HTML for Linking to Page
Page URL
Grade
Rate It
0.00 Avg. Rating

Read More Articles On

2016-04-12
What keeps you up at night? Cybersecurity experts at the SAE World Congress tell all.
2016-04-13
Though battery-powered vehicles haven’t yet met predicted sales levels, leading automakers are bullish about the future, saying that newer generation vehicles now provide features and prices that will attract buyers.
2016-04-13
The nCode brand of durability, test, and analysis software by HBM introduces nCode VibeSys, a new data processing system designed to help acoustics and vibration engineers.
2016-04-20
Ruetz System Solutions provides an interoperability test platform for Automotive Ethernet that constitutes a component of the test set-up for Open Alliance Layer 1 interoperability tests for ECUs.

Related Items

Technical Paper / Journal Article
2004-03-08
Technical Paper / Journal Article
2004-01-16
Training / Education
2010-03-15