Frank Chen retweeted
Ever wondered how to get into ML engineering?
Join our panel next Thursday, June 23, featuring @ShalviMahajan (AI Scientist at SAP), @kaushik_nov20 (Software Engineer at Meta), and @frankchn (ML engineer formerly at Google Brain).
Sign-up: us06web.zoom.us/webinar/regi…
Frank Chen retweeted
I wrote up a post with more details on my upcoming Python Crash Course on @corise_ and why I'm excited about the platform. blog.pamelafox.org/2022/01/n…
Frank Chen retweeted
New course alert!! 🥳We are so excited to share that @pamelafox will be leading a 4 week crash course in Python starting February 21st. corise.com/course/python-cra…
Frank Chen retweeted
We are hiring a Front-End / Full-Stack Engineer (react)
Remote is okay, stock benefits and competitive salary. DM me your details
Please share 🙌
#React #HiringNow #SoftwareEngineer
Frank Chen retweeted
Python is one of the most fundamental tools in one's journey in data science and machine learning. Yet this is a rare great course that focussed on scientific python fundamentals while teaching with projects that are fun and engaging.
corise.com/course/python-for…
Frank Chen retweeted
New course alert!🚀 Enrollments are now open for Machine Learning with Search taught by the search gurus @gsingers and Daniel Tunkelang. This is the first run of the course and we will be capping enrollments. Sign-up early to reserve your spot.
corise.com/course/search-wit…
Frank Chen retweeted
It's TPU time! :)
A single TPUv4 pod contains 4096 chips, with each having 10x bandwidth at scale.
1 exaflop per second.
Per second.
#GoogleIO
Frank Chen retweeted
Did you catch today's NeurIPS presentation about the amazing new JAX on Cloud TPU experience? One more thing 😉 @KenoFischer and the Julia team are bringing this great TPU experience to @JuliaLanguage, and we're incredibly excited to make Cloud TPUs even more useful and usable!
You may remember this slide from my #JuliaLang TPU talk at JuliaCon 2019 - I said "This is where all the pain in using TPUs is". Today at NeurIPS, Google announced a new version of the TPU stack that completely eliminates the issue. TPUs about to become infinitely more useful!!!
Frank Chen retweeted
JAX on Cloud TPUs is getting a big upgrade!
Come to our NeurIPS demo Tue. Dec. 8 at 11AM PT/19 GMT to see it in action, plus catch a sneak peek of a new Flax-based library for language research on TPU pods.
Link: neurips.cc/ExpoConferences/2… (neurips.cc/Register2 is still open!)
ALT JAX :} <3 TPU :D
Frank Chen retweeted
If you're at #GoogleNext19, stop by to see and touch part of a Cloud TPU Pod - the liquid-cooled ML supercomputers deployed in Google's data centers! Proud to be part of the #Cloud #TPU team and help bring this amazing technology to @GCPcloud customers. g.co/cloudtpu
Frank Chen retweeted
The Google MLIR team is happy to release MLIR Core as open source: a new multi-level IR compiler framework! Check it out: github.com/tensorflow/mlir
More information with two talks at EuroLLVM next Monday, stay tuned!
Frank Chen retweeted
Cloud TPU Pods accelerate the pace of research. Using the latest versions of @TensorFlow , Google @GoogleBrain researcher and TFEngineers are able to reduce BERT pretraining time from 3 days down to 76 minutes using a new optimizer. Check out the details: arxiv.org/abs/1904.00962
Frank Chen retweeted
Today's the #TFDevSummit ! Lots of announcements coming in the keynote. I'll be speaking with @clattner_llvm around 12:30pm (Pacific), so be sure to tune in to the live stream for updates on Swift for TensorFlow.
Frank Chen retweeted
Beam audio directly to the ears via laser & the photoacoustic effect, without anyone else around hearing audio. Works at 2.5 meters & 60 dB. osapublishing.org/ol/abstrac…
Fun Idea: couple this with head-tracking to create invisible headphones (Laser is at eye-safe power level)
Frank Chen retweeted
Just for fun, here’s a notebook to visualize how a NN twists and folds space to classify data: colab.research.google.com/gi…
Frank Chen retweeted
Reduce your #ML training times from days to hours with Cloud TPU Pods, now available in alpha → goo.gl/CTw43a
Frank Chen retweeted
#CloudTPUs + @TensorFlow are the fastest platform for ML. On the popular (and now quite silly) ResNet-50 ImageNet benchmark, one TPUv3 Pod finishes in 2.2 minutes at full accuracy (76.3% top-1)! Approx 2x faster than extremely large GPU clusters. Details: arxiv.org/abs/1811.06992
Frank Chen retweeted
I'm very happy to see the @NipsConference board work out a great solution that keeps the full name of the conference intact but to use NeurIPS rather than NIPS (which has multiple other inappropriate connotations and was sometimes used for crude jokes at the conference). Yay!
Frank Chen retweeted
Interested in jump-starting your career in machine learning research? Consider the Google AI Residency Program! Applications are now open until January 28th, 2019! Check out g.co/airesidency/apply for more information.
