By On June 24, the Air Force Research Laboratory (AFRL) posted updates to nine broad agency announcements. Each BAA has distinct due dates for white papers.
Seeking innovative research in technologies and techniques to establish trusted foundations for hardware and software that enables secure, resilient and affordable Command, Control, Communications, Computers, and Intelligence (C4I) and Cyber technologies (C4I and Cyber Technologies) information processing systems. This BAA is a follow-on to BAA FA8750-20-S-7012
The Air Force Research Laboratory, Information Directorate is seeking innovative approaches for the fusion, analysis and reasoning of multi-source data to advance their analytical operations in support of their Command, Control, Communications, Computers and Intelligence (C4I) and Cyber Science mission. This announcement is comprised of three research areas: (A) Adaptive Knowledge and Information for Target Analysis (AKITA), (B) Enhancing Moving Target Engagement at Scale (EMoTES) and (C) Publicly Available Information (PAI) Ensemble Fusion (PEF), where each has research areas that taken together comprise the focus of AFAR research and development.
Artificial Intelligence (AI) holds great potential in transforming the Department of the Air Force (DAF) and Joint Force Command and Control (C2) capabilities across strategic, operational, and tactical levels by enabling decision makers to effectively assess the battlespace, rapidly explore, create, and select the best plan, and direct and monitor forces at pace and scale in a distributed setting. This BAA is interested in exploring new and advancing existing AI and distributed C2 concepts.
Seeking innovative research to develop emerging Cyber and SIGINT real-time processing solutions to improve tactical information collection, geolocation, extraction, identification, analysis, simulation and reporting in support of the Intelligence Community. Overall program goals include providing situational awareness for worldwide signals and network intelligence sources; provide sensor data collection and processing with a network-centric approach; understand the adversarial battlespace; provide multi-platform/multi-intelligence support to both protect and increase the blue coalition warfighting capabilities. A key objective is to advance the state-of-the-art capabilities by providing the warfighter with real-time tools to quickly assess and precisely pinpoint the right decision to mitigate the tactical threat and ensure battlespace dominance.
The Air Force Research Laboratory is soliciting white papers under this Broad Agency Announcement for research, development, integration, test and evaluation of technologies/techniques to support research in the focus areas computational diversity and efficient computing architectures, machine learning and artificial intelligence in embedded system and architectures, computing at the edge, nanocomputing, space computing, and robust algorithms and applications.
he Air Force Research Laboratory, Rome, NY, is seeking innovative research that revolutionizes air operations planning by combining Artificial Intelligence (AI)-driven planning with interactive gaming to significantly reduce the Air Tasking Order planning cycle. Human-guided AI will generate myriad potential courses of action and the gaming environment will allow operators to explore, cull, and evaluate combat plans, gaining insight into the future battlespace.
Seeking white papers for research, development, integration, test and evaluation of technologies/techniques to provide geospatial intelligence (GEOINT) in all its forms and from whatever source – imagery, imagery intelligence, or geospatial data and information – to ensure a solid foundation of knowledge for planning, decision, and action while creating tailored, customer-specific geospatial intelligence, analytic services, and solutions. This BAA is a follow-on to BAA FA8750-17-S-7004 Knowledge Aided GEOINT Latency Reduction (KAGLR).
The overall technical objectives of this BAA are to employ existing and emerging technologies to develop and demonstrate automated, real-time signal detection, processing, exploitation, and reporting capabilities of existing and emerging Electronic Intelligence (ELINT) signals in support of Intelligence, Surveillance, and Reconnaissance (ISR) platforms. Technology applications include, but are not limited to: (1) the enhancement of ELINT signal processing software and hardware to address the increased complexity and volume of the ELINT battlespace; (2) the enhancement of collection system efficiency for single and multi-platform collection optimization and management; (3) the development of technology for the detection and exploitation of emerging ELINT signals and systems, (4) the enhancement of effectiveness of databases that use existing multi-source, multi-platform, real-time collection systems, and (5) the development of capabilities to improve the timeliness and accuracy of post-mission ELINT intercept processing in support of analysis enhancements.
Seeking innovative research to enable closed loop sensing and sensor data exploitation in dynamic adversarial environments.
Source: SAM
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