AIML About: Difference between revisions
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<center><big><big><big><big>'''Goals'''</big></big></big></big></center><br> | |||
The Artificial Intelligence / Machine Learning Initiative (''currently '''{{#ask: [[User:+]][[Working group member::Artificial Intelligence & Machine Learning Initiative]] | |||
| format=count}}''''') aims to help with the application of these technologies to the science of Earth Surface Dynamics Modeling. | |||
The Group's working goals include: | |||
# Disseminate knowledge on techniques and applications. Especially to transmit know-how between users with different levels of experience and training, and from one domain of earth surface science to another. The aim is to make uptake of ML more efficient/time-effective for new entrants, and then extend the sophistication of applications to Earth Surface Dynamics Modeling (ESDM). | |||
# Foster the community using the email list, workshops, newsletter, tweets, generating proposals, (?)Github worked examples, etc. | |||
# Create an ideas/examples data-space on CSDMS pages for feature layers, preferably continent- or world-wide. This is probably the single most useful component for the membership because conceiving and making suitable training/testing feature layers for ML is a creative process. | |||
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<center><big><big><big><big>'''Members'''</big></big></big></big></center><br> | |||
''Where the '''''{{#ask: [[User:+]][[Working group member::Artificial Intelligence & Machine Learning Initiative]] | |||
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}}''''' Artificial Intelligence / Machine Learning members are located'' | |||
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| ?Institute member | |||
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[[Terrestrial Members|See also the Terrestrial WG member list]]. | |||
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Revision as of 08:26, 21 March 2019
The Artificial Intelligence / Machine Learning Initiative (currently 292) aims to help with the application of these technologies to the science of Earth Surface Dynamics Modeling.
The Group's working goals include:
- Disseminate knowledge on techniques and applications. Especially to transmit know-how between users with different levels of experience and training, and from one domain of earth surface science to another. The aim is to make uptake of ML more efficient/time-effective for new entrants, and then extend the sophistication of applications to Earth Surface Dynamics Modeling (ESDM).
- Foster the community using the email list, workshops, newsletter, tweets, generating proposals, (?)Github worked examples, etc.
- Create an ideas/examples data-space on CSDMS pages for feature layers, preferably continent- or world-wide. This is probably the single most useful component for the membership because conceiving and making suitable training/testing feature layers for ML is a creative process.
Where the 292 Artificial Intelligence / Machine Learning members are located
