Abstract: Methods and systems are described that use artificial intelligence (AI)-based natural language processing (NLP) techniques to rapidly analyze, merge, and/or identify relationships between systems engineering artifacts (e.g., system requirements, system architecture descriptions, research requirements, risk assessments, etc.) to accelerate systems engineering program management, technical capability development, and acquisition initiatives associated with systems engineering projects.

Abstract: Provided herein are systems and methods for authenticating controlled area network (CAN) transmissions using physical layer characteristics. In one or more examples, a device that is configured to authenticate CAN transmissions can be connected to an existing CAN. The device can be configured to undergo a training phase in which average transition waveforms of one or more electronic control units (ECUs) are created. When the device is in operation, each CAN transmission received by the device can be compared against the average transition waveforms to determine the ECU that is most likely to have sent the transmission. In one or more examples, the identified most likely ECU can be compared against the ECU identified by an arbitration ID of the transmission. If there is a mismatch then in one or more examples the device can alert to the possibility of a suspicious ECU transmission.

Abstract: The present disclosure generally relates to a system and method for obtaining a diagnosis of a mental health condition. An exemplary system can receive an audio input; convert the audio input into a text string; identify a speaker associated with the text string; based on at least a portion of the audio input, determine a predefined audio characteristic of a plurality of predefined audio characteristics; based on the determined audio characteristic, identify an emotion corresponding to the portion of the audio input; generate a set of structured data based on the text string, the speaker, the predefined audio characteristic, and the identified emotion; and provide an output for obtaining the diagnosis of the mental disorder or condition, wherein the output is indicative of at least a portion of the set of structured data.