Jamie Smith

Software Engineer in Applied Science @ Google.

[Jamie Smith @singledispatch]

In this new paper from my team @GoogleAI we use ML + a differentiable CFD simulator + TPUs to achieve ~86x speedup over direct numerical simulation.

Coauthored with @shoyer, @dkochkov1, Ayya Alieva, Qing Wang and Michael Brenner.

https://t.co/GOaOISCzgz

[Dmitrii Kochkov @dkochkov1]

1/2
Excited to share "Machine learning accelerated computational fluid dynamics"
https://t.co/8rXhLGTVZC

We use ML inside a CFD simulator to advance the accuracy/speed Pareto frontier

with/
Jamie A. Smith
Ayya Alieva
Qing Wang
Michael P. Brenner
@shoyer

[Jeremy Hsu (@jeremyhsu.bsky.social) @jeremyhsu]

Google researchers used data from 40 million smartphones to map and continuously monitor the Earth's ionosphere.

This could help improve GPS location accuracy and even improve forecasting for geomagnetic storms. More on how in the link.

https://t.co/KyNL7hNI8X

[Google AI @GoogleAI]

Calling all climate enthusiasts! Drop your answers in the comments and let’s see your forecasting skills 🌩️ Discover more about the latest #AI research: https://t.co/oQapZPNiVF

[Google AI @GoogleAI]

NeuralGCM is a method that combines traditional physics-based modeling with ML to accurately and efficiently simulate Earth's atmosphere. Learn how NeuralGCM marks a significant step towards developing more powerful and accessible climate models. → https://t.co/85cmhUjPfv

[Jeff Dean @JeffDean]

Exciting news! Meet NeuralGCM, a cutting-edge atmospheric model from Google Research. 🌡🌎

This AI-driven general circulation model (GCM) outperforms traditional atmospheric models in precision, providing faster, more accurate climate predictions. Learn more in @Nature → https://t.co/qvB4NmIKlE Watch the video here → https://t.co/XUbQkAP99M
Or read the blog post below ⬇️

[Sundar Pichai @sundarpichai]

In @Nature today: NeuralGCM, a breakthrough in climate modeling. It combines physics-based modeling with AI, and is up to 100K times more efficient than other models for simulating the atmosphere, providing scientists with new tools for predicting climate change. https://t.co/zyXhW8deko

[Zachary Nado @zacharynado]

Gemini Pro 1.5 a week after Gemini Ultra and 70 days after Gemini Pro 1.0. Who says Google doesn't ship anymore? https://t.co/ThJJCMHCfU

And with 10M context length, we've never been more back 🕺

[Stephan Hoyer @shoyer]

New open source release from my team at Google: Dinosaur, a differentiable dynamical core for global atmospheric modeling, written in JAX: https://t.co/5WASoZ1GLM

Dinosaur is a core component of NeuralGCM and we hope it is useful for the weather/climate research community.

[Jon Barron @jon_barron]

We just finished a joint code release for CamP (https://t.co/F5mmr9uHct) and Zip-NeRF (https://t.co/gdkqqzFpBC). As far as I know, this code is SOTA in terms of image quality (but not speed) among all the radiance field techniques out there. Have fun! https://t.co/xb5irSyHY0

[Zachary Nado @zacharynado]

It’s been a privilege to be part of the Gemini pretraining team and overall program, I’m so excited that the world can finally see what we’ve been up to for most of the past year:

tl;dr we’re so back https://t.co/hlPwkN8fuk

[Trung Phan @TrungTPhan]

Satya Nadella walking into the Microsoft Monday Morning Meeting after acquiring OpenAI for $0 and 0 regulatory scrutiny

[Stephan Hoyer @shoyer]

This year, Google's Research Scholar program for early-career professors is specifically solicitating proposals on large-language and multi-modal machine learning models for science:
https://t.co/WJpFgEZPX9

Applications will open next week and are due by the end of November.

[Jamie Smith @singledispatch]

@zacharynado @gama_search Also please, please seed your RNG unless you want to end up in federal court.

[Sarah Mimms @mimms]

There he is. That's dad.

[Zachary Nado @zacharynado]

Excited to announce our Deep Learning Tuning Playbook, a writeup of tips & tricks we employ when designing DL experiments. We use these techniques to deploy numerous large-scale model improvements and hope formalizing them helps the community do the same! https://t.co/vDhSwZyHJm

[Zachary Nado @zacharynado]

Come by our workshop on deep learning training algorithms tomorrow, "Has It Trained Yet?" https://t.co/EeYiQg1aU6

We'll be in Theater B swapping tips and tricks about neural net training!

[Frank Schneider @frankstefansch1]

🚨 We've extended the deadline for the "Has It Trained Yet" Workshop @NeurIPSConf 2022!

Submit your papers by September 30, 2022. More info at https://t.co/r9stmWie8s

[Jamie Smith @singledispatch]

@sigfpe

[Stephan Hoyer @shoyer]

I'm happy to share a new project on using machine learning for computational fluid dynamics, led by @gideoknite:
"Learning to correct spectral methods for simulating turbulent flows"
https://t.co/UCRuNxKb86

[Jamie Smith @singledispatch]

@SchmidhuberAI @nytimes

[Jamie Smith @singledispatch]

@ylecun @GaryMarcus @wjb_003 @Tesla