#93 – Daphne Koller: Biomedicine and Machine Learning
2020-05-05 · 73 min · 22 entities
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Link in episode "#93 – Daphne Koller: Biomedicine and Machine Learning": https://ai.stanford.edu/users/koller/index.html
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#93 – Daphne Koller: Biomedicine and Machine Learning
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Feed author/publisher: Lex Fridman
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co-founder of Coursera
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co-founder of Coursera
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co-founder of Coursera
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Link in episode "#93 – Daphne Koller: Biomedicine and Machine Learning": http://insitro.com/
Entities found in this episode
concepts 11
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Link in episode "#93 – Daphne Koller: Biomedicine and Machine Learning": https://ai.stanford.edu/users/koller/index.html
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Link in episode "#93 – Daphne Koller: Biomedicine and Machine Learning": https://ai.stanford.edu/users/koller/index.html
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#93 – Daphne Koller: Biomedicine and Machine Learning
companys 5
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co-founder of Coursera
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co-founder of Coursera
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co-founder of Coursera
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co-founder of Coursera
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persons 3
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Feed author/publisher: Lex Fridman
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#93 – Daphne Koller: Biomedicine and Machine Learning
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Feed author/publisher: Lex Fridman
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Link in episode "#93 – Daphne Koller: Biomedicine and Machine Learning": http://insitro.com/
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Link in episode "#93 – Daphne Koller: Biomedicine and Machine Learning": http://insitro.com/
podcasts 1
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#93 – Daphne Koller: Biomedicine and Machine Learning
Episode description as stored
Daphne Koller is a professor of computer science at Stanford University, a co-founder of Coursera with Andrew Ng and Founder and CEO of insitro, a company at the intersection of machine learning and biomedicine.
Support this podcast by signing up with these sponsors:
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EPISODE LINKS:
Daphne’s Twitter: https://twitter.com/daphnekoller
Daphne’s Website: https://ai.stanford.edu/users/koller/index.html
Insitro: http://insitro.com
This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter , LinkedIn , Facebook , Medium , or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts , follow on Spotify , or support it on Patreon .
Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.
OUTLINE:
00:00 – Introduction
02:22 – Will we one day cure all disease?
06:31 – Longevity
10:16 – Role of machine learning in treating diseases
13:05 – A personal journey to medicine
16:25 – Insitro and disease-in-a-dish models
33:25 – What diseases can be helped with disease-in-a-dish approaches?
36:43 – Coursera and education
49:04 – Advice to people interested in AI
50:52 – Beautiful idea in deep learning
55:10 – Uncertainty in AI
58:29 – AGI and AI safety
1:06:52 – Are most people good?
1:09:04 – Meaning of life