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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.
SBC: Signature Research, Inc. Topic: 1
Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
SBC: LYNNTECH INC Topic: NGA181010
The objective of this project is to design a software architecture based on densely-connected neural network to perform automatic targetsegmentation and recognition using training datasets of limited size (low-shot). Deep learning architectures have proved to be extremelyeffective at object detection and recognition, but such capability comes at the cost of having large labeled datasets. Such data ...SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
Enhanced Reliability of Radiation-hardened III-V Semiconductor-based Field Effect Transistors Using C-doped Low-temperature BufferSBC: Quantum Epitaxial Designs, Topic: N/A
Low-temperature MBE grown GaAs (LT-GaAs) contains a high concentration of excess As which gives rise to ultra-fast carrier-trapping time and excellent radiation hardness. In as-grown layers most of this excess As is in the form of As(Ga) antisite defects, of which only ~1% are ionized. Thermal annealing upon overgrowth with a device structure or during device processing results in a decrease of ...SBIR Phase I 1998 Department of DefenseNational Geospatial-Intelligence Agency