#225 – Jeffrey Shainline: Neuromorphic Computing and Optoelectronic Intelligence

Lex Fridman Podcast

Jeffrey Shainline is a physicist at NIST working on. Note: Opinions expressed by Jeff do not represent NIST. Please support this podcast by checking out our sponsors:
Stripe: https://stripe.com
Codecademy: https://codecademy.com and use code LEX to get 15% off
Linode: https://linode.com/lex to get $100 free credit
BetterHelp: https://betterhelp.com/lex to get 10% off

EPISODE LINKS:
Jeff’s Website: http://www.shainline.net
Jeff’s Google Scholar: https://scholar.google.com/citations?user=rnHpY3YAAAAJ
Jeff’s NIST Page: https://www.nist.gov/people/jeff-shainline

PODCAST INFO:
Podcast website: https://lexfridman.com/podcast
Apple Podcasts: https://apple.co/2lwqZIr
Spotify: https://spoti.fi/2nEwCF8
RSS: https://lexfridman.com/feed/podcast/
YouTube Full Episodes: https://youtube.com/lexfridman
YouTube Clips: https://youtube.com/lexclips

SUPPORT & CONNECT:
– Check out the sponsors above, it’s the best way to support this podcast
– Support on Patreon: https://www.patreon.com/lexfridman
– Twitter: https://twitter.com/lexfridman
– Instagram: https://www.instagram.com/lexfridman
– LinkedIn: https://www.linkedin.com/in/lexfridman
– Facebook: https://www.facebook.com/lexfridman
– Medium: https://medium.com/@lexfridman

OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:56) – How are processors made?
(25:15) – Are engineers or physicists more important
(27:43) – Super-conductivity
(43:31) – Computation
(48:07) – Computation vs communication
(51:48) – Electrons for computation and light for communication
(1:02:32) – Neuromorphic computing
(1:27:23) – What is NIST?
(1:30:41) – Implementing super-conductivity
(1:38:20) – The future of neuromorphic computing
(1:57:54) – Loop neurons
(2:04:09) – Machine learning
(2:18:36) – Cosmological evolution
(2:25:44) – Cosmological natural selection
(2:43:05) – Life in the universe
(2:50:52) – The rare Earth hypothesis

More description

Jeffrey Shainline is a physicist at NIST working on. Note: Opinions expressed by Jeff do not represent NIST. Please support this podcast by checking out our sponsors:
Stripe: https://stripe.com
Codecademy: https://codecademy.com and use code LEX to get 15% off
Linode: https://linode.com/lex to get $100 free credit
BetterHelp: https://betterhelp.com/lex to get 10% off

EPISODE LINKS:
Jeff’s Website: http://www.shainline.net
Jeff’s Google Scholar: https://scholar.google.com/citations?user=rnHpY3YAAAAJ
Jeff’s NIST Page: https://www.nist.gov/people/jeff-shainline

PODCAST INFO:
Podcast website: https://lexfridman.com/podcast
Apple Podcasts: https://apple.co/2lwqZIr
Spotify: https://spoti.fi/2nEwCF8
RSS: https://lexfridman.com/feed/podcast/
YouTube Full Episodes: https://youtube.com/lexfridman
YouTube Clips: https://youtube.com/lexclips

SUPPORT & CONNECT:
– Check out the sponsors above, it’s the best way to support this podcast
– Support on Patreon: https://www.patreon.com/lexfridman
– Twitter: https://twitter.com/lexfridman
– Instagram: https://www.instagram.com/lexfridman
– LinkedIn: https://www.linkedin.com/in/lexfridman
– Facebook: https://www.facebook.com/lexfridman
– Medium: https://medium.com/@lexfridman

OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:56) – How are processors made?
(25:15) – Are engineers or physicists more important
(27:43) – Super-conductivity
(43:31) – Computation
(48:07) – Computation vs communication
(51:48) – Electrons for computation and light for communication
(1:02:32) – Neuromorphic computing
(1:27:23) – What is NIST?
(1:30:41) – Implementing super-conductivity
(1:38:20) – The future of neuromorphic computing
(1:57:54) – Loop neurons
(2:04:09) – Machine learning
(2:18:36) – Cosmological evolution
(2:25:44) – Cosmological natural selection
(2:43:05) – Life in the universe
(2:50:52) – The rare Earth hypothesis

2021-09-26 Transcript
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