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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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SBC: Arete Associates Topic: N20AT007
Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop and demonstrate new approaches that improve the performance of in situ machine learning (ML) algorithms as they evolve over time, adapt to new environments, and are capable of transferring their learned experiences across platforms. Technological advances that will be brought t ...STTR Phase I 2020 Department of DefenseNavy
SBC: Objectsecurity LLC Topic: N20AT011
Condition-based maintenance plus (CBM+), and cyber-physical systems (CPS) in general, depend on correct sensor data for analysis, decision making and control loops. If the sensor data that arrives at the point of processing is not correct, or more accurate, is outside its accepted error range, then any further processing will be incorrect as well. This could result in, in the case of CBM+, not det ...STTR Phase I 2020 Department of DefenseNavy
SBC: Photonic Systems, Inc. Topic: N20AT012
Photonic Systems, Inc. (PSI) and Harvard University propose to collaborate in Phases I and II of this STTR program towards the goal of demonstrating a broadband RF/photonic signal link with a specific combination of performance parameters and other features not available from present state-of-the-art links. The solicitation’s goal – specifically, an electromagnetic attack-resilient electro-op ...STTR Phase I 2020 Department of DefenseNavy
SBC: FREEDOM PHOTONICS LLC Topic: N20AT012
In this program, Freedom Photonics and its research partner institution will demonstrate an analog optical link using novel record performance laser, modulator and photodiode technology. Preliminary designs for a miniature, deployable implementation will be conducted as well in Phase I.STTR Phase I 2020 Department of DefenseNavy
SBC: PHYSICAL SCIENCES INC. Topic: N20AT015
The Navy desires a compact and highly efficient S-band magnetron source with stabilized output capable of modulation over a narrow bandwidth. In this Phase I STTR proposal, Physical Sciences Inc (PSI) outlines the development of an injection locked “cooker” magnetron which can be used for frequency shift keying (FSK) or phase shift keying (PSK) in a portable high power transmission device. In ...STTR Phase I 2020 Department of DefenseNavy
SBC: FREEDOM PHOTONICS LLC Topic: N20BT030
In this program, we propose to adapt a new, high-performance integration platform for RF photonics to operation at 1um, and to realize integrated optical transmitters that meet the requirements of the program.STTR Phase I 2020 Department of DefenseNavy
SBC: Systems & Technology Research LLC Topic: N20AT017
Social networks engender implicit trust of knowing the person behind the information, so when posts are presented in our social media timelines, they have the potential to persuade us and change our opinions. For other users, such as intelligence analysts, while information shared on social networks is unlikely to take the place of vetted intelligence, the presence of bots can make it difficult to ...STTR Phase I 2020 Department of DefenseNavy
SBC: TRITON SYSTEMS, INC. Topic: N19BT036
As the Navy continues to reduce manpower requirements associated with operating ever-increasing technologically complex systems, new methods that enable natural and intuitive interaction with 3D data are required to reduce overall operator workload and to enhance situational awareness. Operators who cannot quickly access and interpret data are prone to errors ranging from missing critical data dur ...STTR Phase I 2020 Department of DefenseNavy
SBC: ALPHASTAR TECHNOLOGY SOLUTIONS LLC Topic: N19BT033
A significant barrier to the insertion of ceramic matrix composite (CMC) materials into advanced aircraft engines is their inherent lack of toughness under erosion and post erosion. Our team will develop and demonstrate a physics-based model for erosion/post erosion of CMC’s at room and elevated temperatures (RT/ET). The ICME (Integrated Computational Material Engineering) Physics based Multi Sc ...STTR Phase I 2020 Department of DefenseNavy
SBC: PENDAR TECHNOLOGIES LLC Topic: N20AT003
Pendar Technologies proposes to develop a QCL simulation tools that leverage machine learning to dramatically improve the speed of QCL device design. The innovative QCL design suite proposed will benefit from recent advances made by Pendar in bandstructure engineering, laser cavity design and thermal management at the chip and the package level.STTR Phase I 2020 Department of DefenseNavy