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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.
SBC: UHV TECHNOLOGIES, INC. Topic: AF18BT007
The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...STTR Phase I 2019 Department of DefenseAir Force
SBC: SIGNAL SOLUTIONS, LLC Topic: AF18BT013
Adiabatic logic-based energy-conserving circuits have potential to significantly improve energy efficiency. Adiabatic circuits recycle charge stored in load capacitance resulting in lower power dissipation as compared to conventional CMOS. However, these circuits have only targeted low-frequency operations. Research is needed to develop adiabatic logic circuits for high performance applications wi ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Smart Information Flow Technologies, LLC Topic: AF17BT004
SIFT proposes Network Enforcement Using TRansactONs (NEUTRON) a dynamic fine-grained network enforcement policy design that captures network dependencies. NEUTRON closes the knowledge gap between mission needs and observed network traffic to increase mission network awareness. Then using that knowledge develops a revolutionary security enforcement policy based on network transactions. It reduces t ...STTR Phase II 2019 Department of DefenseAir Force