AIML About: Difference between revisions
From CSDMS
No edit summary |
No edit summary |
||
| Line 9: | Line 9: | ||
<center><big><big><big><big>'''Goals'''</big></big></big></big></center><br> | <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]] | 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. | | format=count}}''' members'') aims to help with the application of these technologies to the science of Earth Surface Dynamics Modeling. | ||
The Group's working goals include: | The Group's working goals include: | ||
Revision as of 08:27, 21 March 2019
The Artificial Intelligence / Machine Learning Initiative (currently 292 members) 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

