Artificial neural networks with precision weight for artificial intelligence
AssigneeQUALCOMM Incorporated
InventorsHaining Yang, Periannan Chidambaram
Life of this patent
Estimating the term…
Abstract
Methods, systems, and devices for an artificial neural network are described. In one example, an artificial neuron in an artificial neural network may include a resistor coupled with an input line and configured to indicate a synaptic weight and a fuse coupled with the resistor. The artificial neuron may also include a selection component coupled with the fuse and configured to activate the fuse for programming the resistor, and a second selection component coupled with the resistor and an output line, the second selection component configured to select the resistor for a read operation.
Claims13
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.
An artificial neuron of an artificial neural network, comprising:
- a resistor having a first terminal coupled with an 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 coupled to a voltage source, and the first terminal 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.
Dependencies are inferred from the claim text.