Rockwell Collins, Inc.

Paul S Corwin

Michael L Hageman

George F Elmasry

Ronald Zozaya

A system and method for developing an artificial intelligence (AI) taxonomy is disclosed. The system includes a cognitive engine configured to perform deep learning processes, and includes a controller. The controller includes a processor and a memory communicatively coupled to the processor. The memory stores executable instructions, which when executable by the processors, causes the processor to collect one or more metrics from node packets received from at least one node, generate a keyword based on the one or more metrics, generate a key phrase based on the keyword in combination with another one of the one or more metrics, and generate a sentence from the key phrase, wherein the key phrase is used for communication with at least one of a plurality of network AI entities.

Method and system for developing battlefield AI taxonomy

A system and method for multimode graphic visualization of wireless link parameters is disclosed. In embodiments, the system receives sensed or simulated network performance data relevant to wireless link connections (e.g., communications, navigation, ranging) between network nodes or platforms. The system derives from the network performance data link performance parameters for each wireless link between a first platform or node and other platforms of the network, e.g., bandwidths, waveform types, success/failure indicators, link non-reception or jamming statuses, low probability of intercept (LPI) signal detection/interception statuses, and negative link margins. The system generates graphic visualizations of the network nodes, the wireless links therebetween, and selected performance parameters for each link in one or more selectable performance modes for presentation to a user/operator via a display system; the user/operator may control the presentation mode or displayed elements via control input.

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Marion, IA, United States of America

Paul S Corwin