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The principles behind Differentiable Programming - Erik Meijer

FooCafe · Youtube · 50 HN points · 1 HN comments
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Youtube Summary
Behind Every Great Deep Learning Framework Is An Even Greater Programming Languages Concept

My life with Haskell, Linq, Rx and beyond
Erik first caused some revolution in the interesting, but tiny, Haskell world. Then he decided to move on to Microsoft and to revolutionize C# and the .NET-world with Linq, maybe the largest change ever? His next step was to go open source and totally revolutionize several languages such as JavaScript, Java, C#, Python and so on with Reactive extensions (Rx) to make them support Reactive programming. For example Netflix has a lot of its success to thank Erik for! What is his next move?
Come and listen to Erik's story from himself!

From 2000 to early 2013 Erik Meijer was a software architect for Microsoft where he headed the Cloud Programmability Team. He then founded Applied Duality Inc. in 2013. Before that, he was an associate professor at Utrecht University. He received his Ph.D. from Nijmegen University in 1992.
Meijer's research has included the areas of functional
programming (particularly Haskell) compiler implementation, parsing, programming language design, XML, and foreign function interfaces.
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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this video.
This talk by Eric Meijer got me intrigued of the subject ... (Based on this talk, I think I almost understood it for an hour or two):

"The principles behind Differentiable Programming - Erik Meijer" https://www.youtube.com/watch?v=lk0PhtSHE38

Sep 30, 2019 · 47 points, 2 comments · submitted by adamnemecek
aaron-santos
While deep learning is a natural application for differentiable programming, I have a suspicion that procedural generation can have its entire foundation shifted to differentiable programing too. Excited to see how these concepts bubble up in other problem domains in the next few years.
adamnemecek
Tldr: calculus is cool
Nov 24, 2018 · 3 points, 0 comments · submitted by espeed
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