Abstract: A computing device and method including, receiving a request for a software build and, responsive to receipt of the request for the software build, retrieving source code for the software build and retrieving a software build file for the software build, the software build file defining a build pipeline. The method also includes, by the computing device, executing a workflow to implement the software build file, generating a provenance bundle based on a monitoring of the workflow, and executing a decision engine to evaluate the provenance bundle based on one or more predetermined policies to thereby generate a recommendation regarding releasability of the software build. The method further includes providing the recommendation regarding releasability of the software build to another computing device. In some cases, executing the decision engine includes evaluating cyber threat intelligence.

Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

Abstract: A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

Abstract: Methods and systems for a transportation vehicle are provided. For example, one method includes storing or installing a security certificate in a portable device associated with an aircraft, the security certificate defining a duration for using the portable device for remotely accessing an aircraft computing system; obtaining the security certificate from the portable device, after validating a request from a user console; and providing the security certificate to the user console to access the aircraft computing system via the portable device for no longer than the duration defined by the security certificate.

Abstract: Methods and systems for a transportation vehicle are provided. For example, one method includes storing or installing a security certificate in a portable device associated with an aircraft, the security certificate defining a duration for using the portable device for remotely accessing an aircraft computing system; obtaining the security certificate from the portable device, after validating a request from a user console; and providing the security certificate to the user console to access the aircraft computing system via the portable device for no longer than the duration defined by the security certificate.

Abstract: Methods and systems for a transportation vehicle are provided. As an example, one method includes monitoring a first set of networked devices located at a transportation vehicle and a second set of user devices that are controlled by users of the transportation vehicle; detecting a first parameter indicating a suspicious behavior by a user device; obtaining at least a second parameter associated with the user device; and correlating the first parameter and the second parameter to declare a security related event.

Abstract: Methods and systems for a transportation vehicle are provided. As an example, one method includes monitoring a first set of networked devices located at a transportation vehicle and a second set of user devices that are controlled by users of the transportation vehicle; detecting a first parameter indicating a suspicious behavior by a user device; obtaining at least a second parameter associated with the user device; and correlating the first parameter and the second parameter to declare a security related event.

Abstract: A method of repairing a defect in a gas turbine engine component includes exposing the defect to a chemically reducing gas to clean the defect surface of undesired particles and oxidation. Before the cleaning, a protective coating is applied to the defect surface to resist inter-granular attack during the cleaning process.