csdmsML

Using machine learning to do science and understand the land, the coast, the ocean and the Arctic. Posts by K Kochanski.

[csdmsML @CSDMSML]

@Dymaxion Glad to see someone else read https://t.co/stKnWqThyw ! If you read the article I posted, you'll see that it advocates for high-leverage, well-considered work that will help us make the best use of our limited ecological resources.

[csdmsML @CSDMSML]

Do you know a way that machine learning could help address climate change? Come share your ideas and research at ICML!

[csdmsML @CSDMSML]

Machine learning can have big effects on climate change - by forecasting energy demand, improving battery research, and (for our community) helping to integrate data into climate and flood models.

[David Rolnick @david_rolnick]

Want to help solve #ClimateChange? Here’s what #MachineLearning can do. Detailed recommendations for researchers, entrepreneurs, and public/private stakeholders. #ClimateChangeAI
Full paper: https://t.co/7mCSnHbaUy

[csdmsML @CSDMSML]

Thanks @SteveRSain and Sophie Giffard and @ebgoldstein for talking to us about flood prediction, hurricane tracking, and machine learning for geosciences at the @CSDMS annual meeting.

[Steve Sain @SteveRSain]

Great panel discussion yesterday with Evan Goldstein (UNC Greensboro), Sophie Giffard (CU Boulder) and others on machine learning in the geosciences at the CSDMS annual meeting. https://t.co/gmYbdQwjoj
@JupiterIntel @CSDMS @CSDMSML

[csdmsML @CSDMSML]

Follow-up to the ongoing CSDMS diversity panel:

[csdmsML @CSDMSML]

Machine learning and statistics have a lot of overlap, but machine learning doesn't necessarily require deep statistical knowledge. https://t.co/MIRdwjcdz4

[csdmsML @CSDMSML]

Astronomers use new generative models, but aren't sure whether the models are a data analysis tool, a new way to do science, or automation taking over their jobs. https://t.co/FweMtpReNt

[Skynet @skynet_journals]

Lake level dynamics exploration using deep learning, artificial neural network, and multiple linear regression techniques (2019) https://t.co/7ZAPPvRPYM

[csdmsML @CSDMSML]

Those of you who are interested in @nvidia tools may also be interested in their GPU grant program, which offers free GPUs to researchers https://t.co/86uo5m3j35

[csdmsML @CSDMSML]

Can AI make realistic landscapes? @nvidia claims they can turn sketches into images that look realer than life https://t.co/EclfKIDroC

[csdmsML @CSDMSML]

Can deep learning be integrated with scientific knowledge to transform Earth System Science? This new paper reviews progress so far and exciting opportunities on the horizon.
https://t.co/MuEtzJh9nr

[CSDMS @CSDMS]

Registration Open!  CSDMS 2019 Annual Meeting - *|https://t.co/gRx67yoiOa|*

[AGU_EPSP @AGU_EPSP]

Modeling isn’t about capturing every component of a system. It’s about insight. What I do with modeling is to isolate individual components and explore how they respond to changes (or lack of change) in forcing. GIF: playing with alongshore sediment diffusion.