Thread: Seismology Consortium for Machine Intelligence in Nuclear Explosion Monitoring

The Nuclear Explosion Monitoring (NEM) program in the Air Force Research Laboratory, Space Vehicle Directorate (AFRL/RV), seeks to form a consortium to carry out research in machine intelligence applications for seismic monitoring of underground nuclear tests. Machine intelligence is defined broadly as technologies that transform a monitoring system from one that that is based primarily on decisions by human analysts – albeit aided by processing – to a system relying heavily on trust in automated products. Machine intelligence includes machine learning, such as training of deep neural networks, but the scope extends beyond that to use of Bayesian inference, template matching, and other approaches to discovering useful information in big data.

To start the process, a formal Request for Information (RFI) was published on the FedBizOpps website (https://www.fbo.gov/) on 29 August 2019. Please consult the RFI for details. You can access it from the FedBizOpps home page by using their search function with a Solicitation # RFI-AFRL-RVBN-FY20-NEM. The direct URL for the RFI is:
https://www.fbo.gov/index?s=opportunity&mode=form&id=b74d2dc9fe175f7a33b470e347761af3&tab=core&_cview=0
Initial consortium white papers are due 17 October 2019.

For technical and programmatic questions, please contact:
Ray Willemann
raymond.willemann<at>us.af.mil
505-853-4333
Rick Schult
frederick.schult<at>us.af.mil
505-846-6101
Eli Baker
glenn.baker.3<at>us.af.mil
505-846-6070