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PEX: Robert Welborn, (Myths Part 2)

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Manage episode 249652723 series 1432771
Content provided by Seth Adler. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seth Adler or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Robert Welborn joins us again for the second part of autonomous vehicle myths. During this discussion, Robert compares the vast and critical differences between the capabilities of today's math and the necessity of developing tomorrow's math before fully autonomous vehicles are a safe, mainstream option. He parses out the weakness in today's autonomous vehicles. For example, converting visual information into digital information and then trying to extract features from that before making a decision off of those inputs. As one could imagine, and as Robert so vividly depicts, there are issues—namely safety—in expecting a computing system to respond quickly and correctly to the infinite numbers of inputs it may receive. Robert closes the discussion with a few viable ways of progressing the technology.

  continue reading

100 episodes

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iconShare
 
Manage episode 249652723 series 1432771
Content provided by Seth Adler. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Seth Adler or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Robert Welborn joins us again for the second part of autonomous vehicle myths. During this discussion, Robert compares the vast and critical differences between the capabilities of today's math and the necessity of developing tomorrow's math before fully autonomous vehicles are a safe, mainstream option. He parses out the weakness in today's autonomous vehicles. For example, converting visual information into digital information and then trying to extract features from that before making a decision off of those inputs. As one could imagine, and as Robert so vividly depicts, there are issues—namely safety—in expecting a computing system to respond quickly and correctly to the infinite numbers of inputs it may receive. Robert closes the discussion with a few viable ways of progressing the technology.

  continue reading

100 episodes

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