Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

The a16z Show

a16z Podcast: Deep Learning for the Life Sciences

06 Jun 2019

Description

with Vijay Pande (@vijaypande) and Bharath Ramsundar Deep learning has arrived in the life sciences: every week, it seems, a new published study comes out... with code on top. In this episode, a16z General Partner Vijay Pande and Bharath Ramsundar talk about how AI/ML is unlocking the field in a new way, in a conversation around their book, Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More (also co-authored with Peter Eastman and Patrick Walters. So -- why now? ML is old, bio is certainly old. What is it about deep learning's evolution that is allowing it to finally making a major impact in the life sciences? What is the practical toolkit you need, the right kinds of problems to attack, and the right questions to ask? How is the hacker ethos coming to the world of biology? And what might “open source biology” look like in the future? Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.