US 11,687,766 B2
Artificial neural networks with precision weight for artificial intelligence
Haining Yang, San Diego, CA (US); and Periannan Chidambaram, San Diego, CA (US)
Assigned to QUALCOMM INCORPORATED, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Jun. 19, 2018, as Appl. No. 16/12,451.
Prior Publication US 2019/0385049 A1, Dec. 19, 2019
Int. Cl. G06N 3/065 (2023.01); G06N 3/084 (2023.01); G11C 11/54 (2006.01)
CPC G06N 3/065 (2023.01) [G06N 3/084 (2013.01); G11C 11/54 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A device for an artificial neural network, comprising:
an input line;
an output line; and
an artificial neuron comprising:
a resistor having a first terminal coupled with the input line to indicate a synaptic weight;
a fuse coupled with the resistor at a second terminal of the resistor;
a first selection component having a first terminal and a second terminal, the second terminal of the first selection component coupled to a voltage source, and the first terminal of the first selection component coupled with the fuse and the resistor at the second terminal of the resistor to activate the fuse for programming the resistor to adjust the synaptic weight based at least in part on varying a resistance of the resistor, the fuse operable to connect and disconnect the resistor from the artificial neuron based at least in part on whether the first selection component activates the fuse; and
a second selection component coupled with the resistor and the output line to select the resistor for a read operation to determine the adjusted synaptic weight.