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#93 – Daphne Koller: Biomedicine and Machine Learning

#93 – Daphne Koller: Biomedicine and Machine Learning

Lex Fridman Podcast
5. Mai 2020 1h 13m
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<p>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.</p> <p>Support this podcast by signing up with these sponsors:<br /> – Cash App – use code “LexPodcast” and download:<br /> – Cash App (App Store):&#160;<a href="https://apple.co/2sPrUHe">https://apple.co/2sPrUHe</a><br /> – Cash App (Google Play):&#160;<a href="https://bit.ly/2MlvP5w">https://bit.ly/2MlvP5w</a></p> <p>EPISODE LINKS:<br /> Daphne&#8217;s Twitter: <a href="https://twitter.com/daphnekoller">https://twitter.com/daphnekoller</a><br /> Daphne&#8217;s Website: <a href="https://ai.stanford.edu/users/koller/index.html">https://ai.stanford.edu/users/koller/index.html</a><br /> Insitro: <a href="http://insitro.com">http://insitro.com</a></p> <p><span style="font-weight: 400;">This conversation is part of the Artificial Intelligence podcast.</span>&#160;If you would like to get more information about this podcast go to <a href="https://lexfridman.com/ai">https://lexfridman.com/ai</a> or connect with @lexfridman on <a href="https://twitter.com/lexfridman">Twitter</a>, <a href="https://www.linkedin.com/in/lexfridman/">LinkedIn</a>, <a href="https://www.facebook.com/lexfridman">Facebook</a>, <a href="https://medium.com/@lexfridman">Medium</a>, or <a href="https://www.youtube.com/lexfridman">YouTube</a> where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on <a href="https://podcasts.apple.com/us/podcast/artificial-intelligence/id1434243584">Apple Podcasts</a>, follow on <a href="https://open.spotify.com/show/2MAi0BvDc6GTFvKFPXnkCL">Spotify</a>, or support it on <a href="https://www.patreon.com/lexfridman">Patreon</a>.</p> <p>Here&#8217;s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.</p> <p>OUTLINE:<br /> 00:00 &#8211; Introduction<br /> 02:22 &#8211; Will we one day cure all disease?<br /> 06:31 &#8211; Longevity<br /> 10:16 &#8211; Role of machine learning in treating diseases<br /> 13:05 &#8211; A personal journey to medicine<br /> 16:25 &#8211; Insitro and disease-in-a-dish models<br /> 33:25 &#8211; What diseases can be helped with disease-in-a-dish approaches?<br /> 36:43 &#8211; Coursera and education<br /> 49:04 &#8211; Advice to people interested in AI<br /> 50:52 &#8211; Beautiful idea in deep learning<br /> 55:10 &#8211; Uncertainty in AI<br /> 58:29 &#8211; AGI and AI safety<br /> 1:06:52 &#8211; Are most people good?<br /> 1:09:04 &#8211; Meaning of life</p>

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