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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: APTIMA INC Topic: N09T007
The Navy faces a significant challenge to its dominance of sea and air given the Anti-Access Area-Denial (A2AD) capabilities of major powers. The Navy's response, in part, is to implement technical capabilities that enable platforms to coordinate in new ways to execute offensive and defensive actions at very long range. While the Navy finalizes this Naval Integrated Fire Control-Counter Air (NIFC- ...STTR Phase II 2016 Department of DefenseNavy
SBC: Flow Pharma, Inc. Topic: CBD18A002
Through this STTR contract, we propose to evaluate the efficacy of our vaccine, FlowVax Marburg, in nonhuman primates (NHPs). This will be achieved through four Tasks. In Task 1, we will manufacture the vaccine in a quantity sufficient for the animal studies. In Task 2, we will perform MHC genotyping on a representative population of NHPs and, based on results, select a set of MHC-matched NHPs for ...STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
SBC: MAPP BIOPHARMACEUTICAL, INC. Topic: CBD18A002
There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terrible morbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditional vaccines have contributed greatly to public health, they have some limitations especially in the context of operati ...STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
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: Arete Associates Topic: N20AT014
Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop an interactive scenario building tool capable of generating realistic synthetic 360° videos in real-time for use in training simulators for periscope operators . We refer to this solution as RealSynth360. This novel capability will be created by combining the latest advances ...STTR Phase I 2020 Department of DefenseNavy
SBC: AGILTRON, INC. Topic: N14AT003
Agiltron in collaboration with National Renewable Energy Laboratory (NREL) will develop a new class of high-efficiency and lightweight broadband inverted metamorphic multi-junction (IMM) solar cells for the uninterrupted flight missions of unmanned aerial vehicles (UAVs). The approach is closely coupled with Agiltrons extensive experience in high-transmittance broadband and wide-angle anti-reflect ...STTR Phase II 2016 Department of DefenseNavy
SBC: CLEARCUT ANALYTICS, INC Topic: N16AT016
DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data --- scientific papers, Web classified ads, customer service notes, and so on --- were instead in a relational database, it would give analysts access to a massiv ...STTR Phase I 2016 Department of DefenseNavy
SBC: CHARLES RIVER ANALYTICS, INC. Topic: N19BT029
Effective mission planning is critical for military strategy and execution. This process is complex as human operators must consider many variables (e.g., resource limitations, threats, risks) when formulating a plan to accomplish mission goals. Although powerful tools, such as the Navy’s Joint Mission Planning System (JMPS), provide advanced functionality, mission planning remains a hybrid acti ...STTR Phase II 2020 Department of DefenseNavy
SBC: METIS DESIGN CORP Topic: N19AT003
The Phase I effort of this STTR aimed to reinforce ply-drop laminates. When laminates taper from a thicker to thinner cross section, the termination of plies locally create resin pockets that can reduce the life of a part due to the lower strength of the resin compared to the fibers, local stress concentrations, and the propensity for voids in these resin rich areas. Thus, Metis Design Corporation ...STTR Phase II 2020 Department of DefenseNavy
SBC: TRITON SYSTEMS, INC. Topic: N20AT018
Although metal AM technologies have continued to progress, there are still many different challenging factors to a build that impact part quality and the amount of time it takes to successfully process a first-run component without defects. Triton Systems proposes to develop a machine learning algorithm that adjusts print parameters during the build in reaction to in-situ sensor data in order to ...STTR Phase I 2020 Department of DefenseNavy