US 11,775,816 B2
Storage and access of neural network outputs in automotive predictive maintenance
Robert Richard Noel Bielby, Placerville, CA (US); and Poorna Kale, Folsom, CA (US)
Assigned to Micron Technology, Inc., Boise, ID (US)
Filed by Micron Technology, Inc., Boise, ID (US)
Filed on Aug. 12, 2019, as Appl. No. 16/538,078.
Prior Publication US 2021/0049457 A1, Feb. 18, 2021
Int. Cl. G06F 12/00 (2006.01); G06N 3/08 (2023.01); G06N 5/04 (2023.01); G06N 3/049 (2023.01); G06F 3/06 (2006.01); G06F 12/02 (2006.01)
CPC G06N 3/08 (2013.01) [G06F 3/0605 (2013.01); G06F 3/0656 (2013.01); G06F 3/0679 (2013.01); G06F 12/0238 (2013.01); G06N 3/049 (2013.01); G06N 5/04 (2013.01); G06F 2212/251 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A data storage device of a vehicle, comprising:
a host interface configured to receive a sensor data stream from at least one sensor configured on the vehicle;
non-volatile memory configured into a plurality of partitions, the partitions respectively having different sets of memory operation settings configured for different types of data related to an artificial neural network, wherein the partitions include an output partition configured to periodically store output data from the artificial neural network;
a controller configured to operate memory units in the partitions according to the sets of memory operation settings; and
a neural network accelerator coupled to the controller, the neural network accelerator configured to apply inputs provided to neurons in the artificial neural network to model data of the artificial neural network to generate, in the output partition, the output data from the artificial neural network.