[Esip-machinelearning] FW: [EXTERNAL] [smd] Due date delay for Application of Artificial Intelligence/Machine Learning Tools for NASA Science (RFI)

[Mcgibbney, Lewis J (172B)]

FYI folks

Dr. Lewis John McGibbney Ph.D., B.Sc.(Hons)
Enterprise Search Technologist
Web and Mobile Application Development Group (172B)
Application, Consulting, Development and Engineering Section (1722)
Info & Engineering Technology Planning and Development Division (1720)
Jet Propulsion Laboratory
California Institute of Technology
4800 Oak Grove Drive
Pasadena, California 91109-8099
Mail Stop : 600-172A
Tel:  (+1) (818)-393-7402
Cell: (+1) (626)-487-3476
Fax:  (+1) (818)-393-1190
Email: lewis.j.mcgibbney at jpl.nasa.gov<mailto:lewis.j.mcgibbney at jpl.nasa.gov>
ORCID: orcid.org/0000-0003-2185-928X

           [signature_376089384]

 Dare Mighty Things

From: <smd-bounces at listsrv2.nasaprs.com> on behalf of "smd at listsrv2.nasaprs.com" <smd at listsrv2.nasaprs.com>
Date: Wednesday, November 6, 2019 at 10:37 AM
To: "'smd at listsrv2.nasaprs.com'" <smd at listsrv2.nasaprs.com>
Subject: [EXTERNAL] [smd] Due date delay for Application of Artificial Intelligence/Machine Learning Tools for NASA Science (RFI)




Request for Information: Application of Artificial Intelligence/Machine Learning Tools to NASA Science
Solicitation: NNH20ZDA002L







NOTICE: Amended November 6, 2019. This amendment delays the due date for the request for information to this program element in order to provide the community with more time to respond. The due date has been extended to November 14, 2019.





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 Request for Information: Application of Artificial Intelligence/Machine Learning Tools to NASA Science NNH20ZDA002L<https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7b0A82091B-A257-621B-230B-C795243AABBF%7d&path=&method=init>. 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 a summary and answer five short 'questions' by filling in text boxes, all of which are limited to 4000 characters. For more information please read the text of the FDL RFI on NSPIRES.



Points of Contact:



Questions concerning this Request for Information may be emailed to Madhulika Guhathakurta at madhulika.guhathakurta at nasa.gov<mailto:madhulika.guhathakurta at nasa.gov> and Michael Seablom at michael.s.seablom at nasa.gov<mailto:michael.s.seablom at nasa.gov>.




You are receiving this email because you have subscribed, through NSPIRES, to the NASA Science Mission Directorate mailing list. If you wish to unsubscribe from this mailing list, access your NSPIRES account, click on Account Management, then click the Email Subscriptions link. If you need assistance, please contact the NSPIRES Help Desk at NSPIRES-Help at nasaprs.com<mailto:NSPIRES-Help at nasaprs.com> or call 202-479-9376.

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