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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite BehaviorsSBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: AF17CT02
Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The presence of adversaries in addition to real-time and hidden information constraints greatly complicates the decision-making process in controlling both ground-based and space-based Air Force surveillance assets. The focus ...STTR Phase II 2019 Department of DefenseAir Force
SBC: METRON INCORPORATED Topic: AF12BT14
ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...STTR Phase I 2013 Department of DefenseAir Force
SBC: i2C Solutions, LLC Topic: AF12BT04
ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...STTR Phase I 2013 Department of DefenseAir Force
SBC: DECISIVE ANALYTICS CORPORATION Topic: AF09BT11
Joint Space Operations Center under the United States Strategic Command employs a worldwide network of 29 sensors, known as the Space Surveillance Network (SSN), to track more than 17,000 man-made objects in Earth orbit with sizes 10 centimeters or larger. Decisive Analytics Corporation and the University of Texas Austin Center for Space Research propose an innovate framework for solving stochast ...STTR Phase I 2010 Department of DefenseAir Force
SBC: Intelligent Automation, Inc. Topic: AF11BT15
ABSTRACT: The damage and loss caused by attacks and security breaches have drawn attentions to develop secure and reliable systems for embedded systems. Compared to their desktop counterparts, embedded devices are facing more security challenges, such as the more possible physical access to a target device and more constrained computing environment (e.g., limited RAM and CPU power). Together, the ...STTR Phase II 2013 Department of DefenseAir Force
SBC: COLORADO ENGINEERING INC. Topic: OSD11T01
Multi-processor computing systems are growing in capacity and usage. They encompass multiple, distributed implementations as well as heterogeneous, embedded computing architectures. The processing density enabled by such approaches holds promise for unmanned combat air vehicles (UCAVs) with their plethora of mission sensors and command and control processing requirements. However, the software ...STTR Phase II 2013 Department of DefenseAir Force
SBC: METRON INCORPORATED Topic: AF19AT009
The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...STTR Phase I 2019 Department of DefenseAir Force
SBC: Electronics of the future, Inc.. Topic: AF18BT006
The project will develop and validate a geometry scalable CNTFET compact model for HF circuit design and extract the model parameters from the measured characteristics of the fabricated devices. The ballistic and quasi-ballistic transport, quantum and parasitic effects will be accounted for the predicted performance will be compared to 130 nm RF Si-CMOS to determine the conditions for breaking eve ...STTR Phase I 2019 Department of DefenseAir Force
SBC: SWITCHBOX INC Topic: DHA18B001
Most standard-of-care tools and techniques for evaluating neck disorders are subjective, unreliable, and do not provide actionable information for providers, payers, and organizations to deliver efficient and effective care. This lack of objective neck heSTTR Phase I 2019 Department of DefenseDefense Health Agency
SBC: MODUS OPERANDI INC Topic: AF18CT002
The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...STTR Phase I 2019 Department of DefenseAir Force