Abstract: A system for generating a machine learning system to generate guidance information based on locations of objects is provided. The system accesses training data that includes training time-of-arrival (“TOA”) information of looks and guidance information for each look. The guidance information is based on a training collection of object locations. The TOA of a look represents, for each object location of a training collection of object locations, times between signals transmitted by transmitters and return signals received by receivers. The return signals represent signals reflected from an object at the object location. The system trains a machine learning system using the training data wherein the machine learning system inputs TOA information and outputs guidance information.

Abstract: A system for generating a machine learning system to generate guidance information based on locations of objects is provided. The system accesses training data that includes training time-of-arrival (“TOA”) information of looks and guidance information for each look. The guidance information is based on a training collection of object locations. The TOA of a look represents, for each object location of a training collection of object locations, times between signals transmitted by transmitters and return signals received by receivers. The return signals represent signals reflected from an object at the object location. The system trains a machine learning system using the training data wherein the machine learning system inputs TOA information and outputs guidance information.

Abstract: A system for generating a machine learning system to generate guidance information based on locations of objects is provided. The system accesses training data that includes training time-of-arrival (“TOA”) information of looks and guidance information for each look. The guidance information is based on a training collection of object locations. The TOA of a look represents, for each object location of a training collection of object locations, times between signals transmitted by transmitters and return signals received by receivers. The return signals represent signals reflected from an object at the object location. The system trains a machine learning system using the training data wherein the machine learning system inputs TOA information and outputs guidance information.

Abstract: To provide enhanced operation of data storage devices and systems, various systems, methods, and software are provided herein. In a first example, a data storage system is configured to provide at least a portion of a first data storage device as a verification cache for a storage region of a second data storage device, write data for storage in the verification cache of the first data storage device and write the data for storage in the storage region of the second data storage device. The data storage system is configured to perform a verification process on the data written to the storage region after a verification trigger condition has been met. The data storage system is configured to transfer portions of the data that fail to pass the verification process from the verification cache to supersede the one or more parts of the data in the storage region.

Abstract: To provide enhanced operation of data storage devices and systems, various systems, methods, and software are provided herein. In a first example, a data storage system is configured to provide at least a portion of a first data storage device as a verification cache for a storage region of a second data storage device, write data for storage in the verification cache of the first data storage device and write the data for storage in the storage region of the second data storage device. The data storage system is configured to perform a verification process on the data written to the storage region after a verification trigger condition has been met. The data storage system is configured to transfer portions of the data that fail to pass the verification process from the verification cache to supersede the one or more parts of the data in the storage region.