CEDAR email: Opportunity to impact NASA Machine Learning Development

[Ryan Michael Mcgranaghan]

Hi CEDAR community

A new excellent opportunity has just come out to contribute to the
development and direction of the innovative NASA Frontier Development
Laboratory (FDL) program. Please see the Request For Information below and
share your insights to shape NASA's directions with Machine Learning.

Kind Regards,
Ryan


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Frontier Development Laboratory (FDL) Request for Information (RFI)

Summary:

The Science Mission Directorate (SMD) seeks suggestions for topics
relevant to 2014 SMD Science Plan
<https://science.nasa.gov/files/science-red/s3fs-public/atoms/files/2014_Science_Plan_PDF_Update_508_TAGGED_1.pdf>
amenable to application of Artificial Intelligence / Machine Learning tools
for the 2020 Frontier Development Laboratory
<https://frontierdevelopmentlab.org/> Program.

Responses are due: November 7, 2019

https://nspires.nasaprs.com/external/solicitations/summary!init.do?solId=%7b0A82091B-A257-621B-230B-C795243AABBF%7d&path=open

Background:

FDL <https://frontierdevelopmentlab.org/> is an applied artificial
intelligence (AI) research accelerator leveraging the newest developments
in AI and Machine Learning (ML) technologies from academia and the private
sector and applying them to challenges relevant to NASA's goals in space
and earth sciences. Teams of computer scientists and space and earth
scientists work to solve problems important to NASA and humanity’s future
within a given time frame. Each team is made up of four participants (two
computer scientists and two domain scientists). The teams are mentored by
subject matter experts (SMEs) in both science domains and AI/ML. FDL is a
public-private partnership between NASA and the SETI Institute, commercial
and academic institutions and other foreign and domestic agencies.

How to respond to this RFI:

Submissions shall be as a Notice of Intent (NOI) via the NSPIRES page for
the FDL RFI. Responses to this RFI by other means will not be accepted.

When creating the NOI in NSPIRES one will supply identifying information
and be prompted to provide to seven short statements by filling in text
boxes, all of which have characters limit. For more information please read
the text of the FDL RFI on NSPIRES.


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