The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until September, 2020.
SBC: Clostra, Inc. Topic: DTRA162001
"Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency