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Kognic develops AI alignment platform

Kognic’s advanced interpretation of sensor data helps artificial intelligence and machine learning to recognize the human thing to do.

Artificial Intelligence in Aeronautical Systems: Statement of Concerns

This document reviews current aerospace software, hardware, and system development standards used in the certification/approval process of safety-critical airborne and ground-based systems, and assesses whether these standards are compatible with a typical Artificial Intelligence (AI) and Machine Learning (ML) development approach. The document then outlines what is required to produce a standard that provides the necessary accommodation to support integration of ML-enabled sub-systems into safety-critical airborne and ground-based systems, and details next steps in the production of such a standard.
Technical Paper

Artificial Intelligence Applications in Aerospace

This paper summarizes the technical and management strategy of the Boeing Commercial Airplane Company's Computing Management Organization for the application of Artificial Intelligence. The training to support the application development is described. A summary of typical applications is presented.
Technical Paper

Artificial Intelligence applied to Diagnostics

Research into the use of AI to enhance the detection of faults and the diagnosis of multiple failure conditions on U.S. Army tactical vehicles is reported. The approach uses existing troubleshooting knowledge (in the form of programmed automated test logic) as the basis for an expert system. A deep model of vehicle systems is incorporated in the diagnostic machine. A pilot model will be implemented on a presently fielded portable microprocessor test system, the Simplified Test Equipment (STE), to demonstrate that the technique is both practical and that it can be realized on a small field portable test set.
Technical Paper

Artificial Intelligence Application to Advanced ECLS Systems

Space Station preliminary design studies examined the role of advanced automation and artificial intelligence to facilitate ECLSS control and diagnostics. Advanced automation techniques using independent embedded controllers were selected for the initial station, especially for centralized processes such as water recovery, air revitalization, and waste management. ...The benefits of artificial intelligence are presented from both the expert system and learned system perspective.
Technical Paper

The Utilization of Artificial Intelligence for Turboprop Maintenance

This paper shows the methods, techniques and codes developed as Artificial Intelligence tools for turboprop maintenance. Diagnostics is the main area of maintenance considered while Expert Systems and Back Propagation Neural Networks are the Artificial Intelligence subjects discussed. ...Diagnostics is the main area of maintenance considered while Expert Systems and Back Propagation Neural Networks are the Artificial Intelligence subjects discussed. The codes allow consideration of the turboprop with different configurations.