AI-ML: Difference between revisions
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Four main activities are identified: | Four main activities are identified: | ||
# 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. | # 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, newsletter, tweets, generating proposals, | # Foster the community using the email list, workshops, newsletter, tweets, generating proposals, (?)Github worked examples, etc. | ||
# Create an ideas | # 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. | ||
=== Background === | |||
A beginning to the activities took place on 24 May 2018 in the CSDMS Annual Meeting with a forum to decide whether to create an Initiative Group and then on the courses of action. Creation of the group was voted for overwhelmingly. The forum was convened by Chris Jenkins (INSTAAR, Boulder) and Jeff Obelcz (NRL, Stennis) and attended by over 40 people. | |||
The proceedings are available online through CSDMS: [https://csdms.colorado.edu/wiki/AIandML Wiki], [https://drive.google.com/open?id=1ZA67j0voFQEjQjaGvmzW9pI_zD05ZUdQ Agenda] and [https://drive.google.com/open?id=1FbiSquHOb813kjmVSrDY14fBeZr9beXo Notes]. Following that the CSDMS Executive decided to form an Initiative Group as a matter of urgency within the Cyber Working Group, but which may be rearranged in the CSDMS structure at a future time. | |||
CJJ 31May2018 | CJJ 31May2018 | ||
Revision as of 18:55, 31 May 2018
AI/ML initiative
Objectives of the Group
The Artificial Intelligence / Machine Learning Initiative aims to help with the application of these technologies to the science of Earth Surface Dynamics Modeling.
Four main activities are identified:
- 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.
Background
A beginning to the activities took place on 24 May 2018 in the CSDMS Annual Meeting with a forum to decide whether to create an Initiative Group and then on the courses of action. Creation of the group was voted for overwhelmingly. The forum was convened by Chris Jenkins (INSTAAR, Boulder) and Jeff Obelcz (NRL, Stennis) and attended by over 40 people.
The proceedings are available online through CSDMS: Wiki, Agenda and Notes. Following that the CSDMS Executive decided to form an Initiative Group as a matter of urgency within the Cyber Working Group, but which may be rearranged in the CSDMS structure at a future time.
CJJ 31May2018
