Patent ID: 11941516
Assignee: MICRON TECHNOLOGY, INC.
Field: Digital communication (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 17:
18. A method comprising:
receiving one or more weights of a cooperative neural network from a first wireless communication device at a second wireless communication device, wherein the one or more weights are trained to be associated with at least one or more crash conditions;
capturing raw sensor data at the second wireless communication device;
identifying a third wireless communication device;
utilizing the one or more weights of the cooperative neural network and the raw sensor data at the second wireless communication device to implement the cooperative neural network, in the second wireless communication device, for detection of a crash condition within a threshold time that is based at least in part on the crash condition, wherein the threshold time is based at least in part on receiving the one or more weights and detecting the crash condition, wherein, responsive to identifying that the third wireless communication device is within a threshold distance of the second wireless communication device, and responsive to the receiving the one or more weights, training the cooperative learning neural network at the second wireless communication device using the raw sensor data occurs while the third wireless communication device is within the threshold distance of the second wireless communication device, and training the cooperative learning neural network using the raw sensor data does not occur, otherwise;
adjusting a speed or direction, or both, of the second wireless communication device responsive to detection of the crash condition.