Hey Tech, It’s Time To Build. In Healthcare.
In the past few months, the founders of Instacart, Spotify, and Coinbase have all started new healthcare companies. Why are these seasoned tech founders jumping into tech-driven healthcare?
https://t.co/Eup4Bn8pwE
1/
NEW podcast episode is up!
"Balaji Srinivasan (@balajis) on Bitcoin, The Great Awokening, Wolf Warrior Diplomacy, Open-Source Ecology, Reputational Civil War, Creating New Cities, and Options for Becoming a Sane but Sovereign Individual"
https://t.co/ODIJJnu2Vu
Enjoy! 🙌
You’ve read a lot about founders. You haven’t read as much about heirs. But in many ways, the heir is the photographic negative of the founder. https://t.co/uiD4wzzV2X
This will go down in history as one of science and medical research's greatest achievements. Perhaps the most impressive.
I put together a preliminary timeline of some key milestones to show how several years of work were compressed into months.
Inspired by the COVID-19 @kaggle challenge from the @allen_ai, @ChanZuckerberg, @WHOSTP and others, we set up today a search and similarity system for exploring the papers using our tech-stack.
It's open for anyone to use here: https://t.co/Ek8EowpPmC 🔎
@ebenbuild entwickelt einen "digitalen Zwilling" der Lunge. Das hilft Patienten mit akuten Atemnotsyndrom besser zu atmen. So können Lungenschäden vermieden und die hohe Mortalität gesenkt werden. Diese #Innovation sicherte dem #Startup den 4. Platz des #Science4LifeVentureCup!
Very nice article at MIT Tech Review explaining Leon Bottou's invited talk at ICLR on causality through invariance.
https://t.co/KAAEr2aLhL https://t.co/KAAEr2aLhL
In this episode, @lawrennd shares a favorite bit of research he came across in a conference. We discuss @suchisaria’s work on stable link in graphs. Tune in here:
https://t.co/KVyeDwyter
A lot of data-based problems in computational physics are Small (or better yet) Tall Data problems. Using a physical skeleton is not only necessary but essential in learning models that work under extrapolative conditions. More on the link below:
2 years, 250 pages, 1,219 commits, and 78,480 words:
I am very proud to say that today I published the 1st edition of "Interpretable Machine Learning". 🎉🎉🎉
Web: https://t.co/s4tyZz3f3B
Leanpub: https://t.co/OAIEB1YNzR