#93 – Daphne Koller: Biomedicine and Machine Learning
May 5, 2020
1 hr 12 min
93
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Episode 93 · May 5, 2020
#93 – Daphne Koller: Biomedicine and Machine Learning
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Boston Dynamics Episodes Around May 5, 2020
Episode 92 of 498 — walk the feed in the order it was published.
#81 – Anca Dragan: Human-Robot Interaction and Reward Engineering
#92 – Harry Cliff: Particle Physics and the Large Hadron Collider
#93 – Daphne Koller: Biomedicine and Machine Learning
Summary
<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>
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<p>EPISODE LINKS:<br />
Daphne’s Twitter: <a href="https://twitter.com/daphnekoller">https://twitter.com/daphnekoller</a><br />
Daphne’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> 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’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 – Introduction<br />
02:22 – Will we one day cure all disease?<br />
06:31 – Longevity<br />
10:16 – Role of machine learning in treating diseases<br />
13:05 – A personal journey to medicine<br />
16:25 – Insitro and disease-in-a-dish models<br />
33:25 – What diseases can be helped with disease-in-a-dish approaches?<br />
36:43 – Coursera and education<br />
49:04 – Advice to people interested in AI<br />
50:52 – Beautiful idea in deep learning<br />
55:10 – Uncertainty in AI<br />