Deep Learning for Science School

July 20th - 24th, 2020

Lawrence Berkeley National Laboratory, Berkeley, CA

Cancelled due to COVID-19


The COVID-19 global outbreak has disrupted our lives and plans and will likely continue to do so in the upcoming period. It is currently unlikely that large events and gatherings will be possible by July timeframe. After much deliberation, we have decided to cancel the Deep Learning for Science School 2020.

We are as sad as many of you are that we won't get together again for a whole week. We are currently thinking of online alternatives to the school, while it won't be the same as a week long event, we hope to host some awesome speakers to give online lectures on topics that are relevant to deep learning for science. Please sign up for our mailing list and stay tuned for more updates.

Finally, if you haven't attended last year's school, please checkout the video recordings and slides.

I hope you are all staying safe, see you at a future event.



About

Hosted by Computing Sciences at Berkeley Lab, the school brings together researchers and engineers for lectures and tutorials on state-of-the-art deep learning methods and best practices for running deep learning on high performance computing systems. The sessions will cover both theory and practice, with emphasis on the latter. Attendees will gain an understanding of: what deep learning is, what type of problems it is good for, and how to choose, build and train (and deploy) at scale deep learning models for scientific applications. The school will also provide ample opportunities for the attendees to connect with fellow scientists with a shared interest for discussions on how the latest advances in learning algorithms can be used for their science.

Who should apply?

The Department of Energy, Office of Science community; domain scientists and engineers, postdocs and graduate students at Universities or National Labs with a strong interest in applying deep learning to scientific problems on high performance computing systems.

Dates:

Feb 11th

Mar 4th

Mar 25th

April 15th

April 20th

July 20th

Applications open

Applications close

Admissions decisions are decided + registration opens for admitted applicants

Registration closes

Final decisions for applicants on waiting-list to be notified

First day of school