Patent ID: 11870513
Assignee: MICRON TECHNOLOGY, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 16:
17. A method comprising:
calculating a plurality of signals at a neural network with a kth-ordered neuron, wherein k represents a number of a plurality of calibration signals that are selected to generate the kth-ordered neuron, wherein calculating the plurality of signals at the neural network with the kth-ordered neuron comprises:
combining, at least a portion of a plurality of multiplication/accumulation (MAC) units of the kth-ordered neuron, a plurality of signals with a kth-order set to generate a plurality of intermediate signals; and
combining, at least another portion of the plurality of MAC units of the kth-ordered neuron, the plurality of intermediate signals with the kth-ordered set to generate a plurality of output signals, wherein the kth-ordered neuron comprises product values based on combinations of at least one calibration signal of the plurality of calibration signals and another calibration signal of the plurality of calibration signals multiplied with itself k−1 times;

selecting a set of k-combinations including repetition from among the plurality of calibration signals; and
based on the selecting, generating the kth-ordered set for a plurality of ordered sets based at least in part on multiplying each calibration signal of a plurality of calibration signals with at least another calibration signal of the plurality of calibration signals.