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Brad Larson proslijedio/la je Tweet
Swift Crypto project is now live and open source. Read more at: https://swift.org/blog/crypto/ Grab the code:https://github.com/apple/swift-crypto …
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Brad Larson proslijedio/la je Tweet
1/ Did you know that Vannevar Bush (you know, the guy who helped enable everything from radar to the manhattan project, the NSF to memexes) wrote an autobiography? Turns out that yes he did, it's been out of print since the 70's, and it's *excellent* BOOK REPORT THREAD
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Also, it gave me another good chance to sample the Google cafeteria options and food trucks across the Mountain View and Sunnyvale campuses.
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I’m always startled by what this team can do, and that’s more evident in the rare occasions where we’re all in town together. Had a fun week learning about and working on some neat stuff.https://twitter.com/guggersylvain/status/1223473372824162304?s=21 …
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Working under Chris has been one of the highlights of my career, I’ve learned so much in a short time. I’m really excited about what we’re building in Swift for TensorFlow, and I owe him for the opportunity to work on this every day.https://twitter.com/clattner_llvm/status/1222032740897284097 …
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Brad Larson proslijedio/la je Tweet
I am super excited to join
@SiFive today, leading the software team that builds tooling to enable 'silicon at the speed of software'. Chip design is challenging, and needs open tools that are well designed, easy to use, and state of the art. More at: https://sifive.com/blog/with-sifive-we-can-change-the-world …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Brad Larson proslijedio/la je Tweet
It was an honor presenting at
#swift for#tensorflow design meeting. Here the slides for who was asking for:https://www.slideshare.net/jacopomangiavacchi/swift-for-tensorflow-coreml-personalization …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Brad Larson proslijedio/la je Tweet
Float16 (aka half) in Swift will greatly ease the pain of interop with Metal shader code. Hope this proposal moves forward swiftly
https://forums.swift.org/t/add-float16/33019 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Brad Larson proslijedio/la je Tweet
And that's a wrap!
#GCI was so much fun and I learnt *a lot* I've written a small blog post about my experience doing@TensorFlow tasks https://rickwierenga.com/blog/gci/GCI.html …https://twitter.com/rickwierenga/status/1202531433010671616 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Brad Larson proslijedio/la je Tweet
Have you ever wondered what will be the ML frameworks of the '20s? In this essay, I examine the directions AI research might take and the requirements they impose, concluding with an overview of what I believe to be two strong candidates: JAX and S4TF.http://inoryy.com/post/next-gen-ml-tools/ …
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Brad Larson proslijedio/la je Tweet
On the road to Swift 6:https://forums.swift.org/t/on-the-road-to-swift-6/32862 …
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Brad Larson proslijedio/la je Tweet
Algorithms to automatically design diverse lifeforms in simulation to perform some desired function, and then transferred to be a real organism using a cell-based construction tools to realize predicted behaviors. https://doi.org/10.1073/pnas.1910837117 … https://cdorgs.github.io https://twitter.com/DoctorJosh/status/1216819972778971137 …pic.twitter.com/VA2m4PujAy
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Brad Larson proslijedio/la je Tweet
Flax: A neural network library for JAX designed for flexibility (pre-release) https://github.com/google-research/flax/tree/prerelease …pic.twitter.com/MtUnse784E
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Brad Larson proslijedio/la je Tweet
For those curious about how I'm optimizing these embedded C/C++ projects...I use a super secret tool --> Xcode + Instruments on MacOS. The optimization rules are obviously different for PCs vs embedded, but being able to see where the time is being spent is enough.
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Brad Larson proslijedio/la je Tweet
Yesterday we announced new findings from our LightSail 2 spacecraft. Read all about it: https://www.planetary.org/blogs/jason-davis/heres-what-we-learned-so-far-ls2.html …pic.twitter.com/BncpsEEJ7h
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Brad Larson proslijedio/la je Tweet
Although neural networks usually require massive datasets to do impressive things, for me the highlight of
#AlphaFold is the fact that it achieved state-of-the-art using only 30K training examples. Code: https://github.com/deepmind/deepmind-research/tree/master/alphafold_casp13 … Paper: https://www.nature.com/articles/s41586-019-1923-7 …pic.twitter.com/k533FyqD6qHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Brad Larson proslijedio/la je Tweet
Understanding how proteins fold is a fundamental scientific question that could one day help unlock treatments for a range of diseases. Excited that our
#AlphaFold work, which uses deep neural networks to predict protein structures, is published in@Nature today!https://twitter.com/DeepMind/status/1217510494984134657 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Brad Larson proslijedio/la je Tweet
I’m still reeling from this. If you want a person who is an excellent communicator, works well with others, inspires others, and is a good developer to boot, you want
@shog9. Hire him before someone else does.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Brad Larson proslijedio/la je Tweet
A nice review of what is also my own favorite book on machine learning.
@aureliengeron has created a masterpiece. It is one of the best books@OReillyMedia has published in our entire history.https://www.kdnuggets.com/2020/01/book-start-machine-learning.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Brad Larson proslijedio/la je Tweet
Swift is used on Apple devices, servers, in machine learning... now, let's make it a thing on bare metal! Excited to open source my latest project – Swift for Embedded Systems!
https://github.com/swift-embedded/swift-embedded …
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. Clarifying: all of the projects I was involved in & driving at Google (incl. S4TF, MLIR, an incredible new TF runtime, XLA, TPU SW, etc) are in very good hands 
, have exec commitment and strong roadmaps. I c/wouldn't leave if uncertain about that!
One describes AlphaFold, which uses deep neural networks to predict protein structures with high accuracy. AlphaFold made the most accurate predictions at the 2018 scientific community assessment CASP13. 1/4