The growing list of applications for artificial intelligence (AI) covers a wide area including such things as face recognition, image processing, natural language processing, military decision making, robotic control, natural language translation, data mining - the list goes on. Typically, such applications are confined to stationary data centers housing large servers and huge arrays of storage. When AI service is needed at the “edge,” close to the user or situation that will utilize AI support, it has involved communication with the AI server and its data via a network—with the inevitable latency that can compromise in-time response to real situations.
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Low latency, high-performance solutions are fielded by One Stop Systems (OSS) using the best commercial technologies available. As the mobility of the military, in an ever-increasingly complex battlefield, emerges the need to bring advanced systems to the Edge is clear. The spectacle of advanced weapons stalling a superior fighting force, as evident in Ukraine, is driving the need to build a cohesive, autonomous, and semi-autonomous strategy for the United States. Moving commercial solutions and hardware to the edge has become imperative. This shift for tactical and combat vehicles is based on a compendium of communications and mixed signals to create an asymmetrical Artificial Intelligence (AI) solution that outstrips the enemy's ability to react.
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