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2018 CSDMS Annual Meeting: | |||
== '''With Artificial Intelligence & Machine Learning - What Lies Ahead for Earth Surface Modeling ?''' == | |||
A Forum, 1030-1230pm, 24th May 2018, SEEC Room ### | |||
Convened by Chris JENKINS (INSTAAR, Boulder CO) and Jeff OBELCZ (NRL, Stennis, MS) | |||
=== '''Questions for the Forum''' === | |||
* What can AI and ML currently do that might benefit Earth Surface Dynamics Modeling ? | |||
* What is the relationship between Process Modelling and AI/ML ? | |||
* How should CSDMS Community Respond to the Appearance of AI/ML | |||
=== '''Background Reading''' === | |||
* Participants can share URL's here to papers that discuss the workings of AI/ML and applications in fields such as ours. | |||
Some papers are also relevant to questions for the forum (above). | |||
Jones, N. 2018. [https://www.nature.com/news/how-machine-learning-could-help-to-improve-climate-forecasts-1.22503 How machine learning could help to improve climate forecasts]. Nature 548, 379–380 (24 August 2017) doi:10.1038/548379a . | |||
Grover, A. 2015. [http://erichorvitz.com/weather_hybrid_representation.pdf A Deep Hybrid Model for Weather Forecasting]. 2015 ACM, DOI: http://dx.doi.org/10.1145/2783258.2783275. | |||
=== '''Displays during the Forum''' === | |||
* Posters and printed materials for distribution will be available at the event | |||
=== '''Online Resources for the Forum''' === | |||
* This Wiki will serve Abstracts, URL's, Posters, Images supplied by participants before and during the meeting | |||
<small>''Dateline: CJ 12Feb2018''</small><small>Small text</small> | |||
Revision as of 21:04, 12 February 2018
2018 CSDMS Annual Meeting:
With Artificial Intelligence & Machine Learning - What Lies Ahead for Earth Surface Modeling ?
A Forum, 1030-1230pm, 24th May 2018, SEEC Room ### Convened by Chris JENKINS (INSTAAR, Boulder CO) and Jeff OBELCZ (NRL, Stennis, MS)
Questions for the Forum
- What can AI and ML currently do that might benefit Earth Surface Dynamics Modeling ?
- What is the relationship between Process Modelling and AI/ML ?
- How should CSDMS Community Respond to the Appearance of AI/ML
Background Reading
- Participants can share URL's here to papers that discuss the workings of AI/ML and applications in fields such as ours.
Some papers are also relevant to questions for the forum (above).
Jones, N. 2018. How machine learning could help to improve climate forecasts. Nature 548, 379–380 (24 August 2017) doi:10.1038/548379a .
Grover, A. 2015. A Deep Hybrid Model for Weather Forecasting. 2015 ACM, DOI: http://dx.doi.org/10.1145/2783258.2783275.
Displays during the Forum
- Posters and printed materials for distribution will be available at the event
Online Resources for the Forum
- This Wiki will serve Abstracts, URL's, Posters, Images supplied by participants before and during the meeting
Dateline: CJ 12Feb2018Small text
