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On August 16, the U.S. Army posted a sources sought notice for Artificial Intelligence/Machine Learning (AI/ML) development processes and technologies, and pathfinder processes to identify militarily relevant technologies. Responses are due by 5:00 a.m. Eastern on September 15, according to SAM.gov.
As part of its mission, the Technology Integration Branch has a continuing need for the conduct of applied research and analyses, as well as operational demonstrations as related to Intelligence, Surveillance and Reconnaissance (ISR) technologies; Artificial Intelligence/Machine Learning (AI/ML) development processes and technologies, and pathfinder processes to identify militarily relevant technologies from unique sources. It is necessary to obtain a wide variety of technical data on both new concepts and improvements to existing systems.
Additionally, the mission of the Technology Integration Branch includes the development of advanced concepts in persistent sensing systems, autonomous sensors, sensor data exploitation, intelligence analysis, and AI/ML techniques that improve the foregoing. The research, development, and operationalization of concepts for sensors, related information sources and AI/ML techniques in peer, asymmetric, counter-terrorism, counter-insurgency warfare, and multi-domain warfare is of utmost importance to the U.S. Forces, and is required by this effort.
The Technology Integration Branch of the Army Research Laboratory (ARL) requires Technology Management Support to develop and demonstrate innovative concepts. The initial demonstration for this effort shall take place at the Technical Cooperation Program (TTCP) Artificial Intelligence Strategic Challenge (AISC) in 2023. TTCP AISC allows agencies within the Department of Defense (DOD), including coalition partners, to test new and existing technologies in an operationally realistic environment. By incorporating an expeditionary Processing, Exploitation, Dissemination (PED) model, this effort will demonstrate the utility of multinational sensor and command and control interoperability in an operationally relevant environment.
This effort will further research and develop the concepts tested at TTCP AISC using the data to provide innovative solutions for the provision of real time situational awareness in a dense and information-soaked environment. The research, development, and operationalization of concepts for sensors, related information sources and AI/ML techniques in peer, asymmetric, counterterrorism, counter-insurgency warfare, and multi-domain warfare is of utmost importance to U.S. and Coalition Forces.
The Objective of this effort is to develop concepts that incorporate visualization, include coalition interconnectivity, allow for the ability to obtain data from all information sources, to include Unattended Ground Sensors, improve situational awareness, and decrease the current analyst workload. In particular, this effort will support contested/dense urban environment operations to include subterranean environments. To accomplish its mission as detailed in C.1., the Technology Integration Branch requires professional engineering and analysis contractor support addressing real time situational awareness in a dense and information-soaked environment. The Contractor shall demonstrate their concept to meet these goals at the TTCP AISC 23.
Review the full Army AI, ML RFI.
Source: SAM
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