Configurable Three-Dimensional Neural Network Array

    公开(公告)号:US20220083836A1

    公开(公告)日:2022-03-17

    申请号:US17532999

    申请日:2021-11-22

    IPC分类号: G06N3/04

    摘要: Configurable three-dimensional neural network array. In an exemplary embodiment, a three-dimensional (3D) neural network array includes a plurality of stacked synapse layers having a first orientation, and a plurality of synapse lines having a second orientation and passing through the synapse layers. The neural network array also includes synapse elements connected between the synapse layers and synapse lines. Each synapse element includes a programmable resistive element. The neural network array also includes a plurality of output neurons, and a plurality of select transistors connected between the synapse lines and the output neurons. The gate terminals of the select transistors receive input signals.

    Quantum bit array
    2.
    发明授权

    公开(公告)号:US11723288B2

    公开(公告)日:2023-08-08

    申请号:US17209107

    申请日:2021-03-22

    摘要: A quantum bit array is disclosed. In an embodiment, the quantum bit array includes a control gate coupled to a qubit and at least one pass gate coupled between the qubit and an adjacent qubit to control operation of the qubit of the quantum bit array, a bit line, and a first transistor channel that connects the bit line to the control gate. The array further comprises at least one word line coupled to the first transistor channel. The at least one word line selectively controls charge flow through the first transistor channel. The array further comprises a capacitor coupled to selectively store charge in the first transistor channel.

    Quantum bit array
    3.
    发明授权

    公开(公告)号:US12029140B2

    公开(公告)日:2024-07-02

    申请号:US18365936

    申请日:2023-08-04

    摘要: A quantum bit array is disclosed. In an embodiment, the quantum bit array includes a control gate coupled to a qubit and at least one pass gate coupled between the qubit and an adjacent qubit to control operation of the qubit of the quantum bit array, a bit line, and a first transistor channel that connects the bit line to the control gate. The array further comprises at least one word line coupled to the first transistor channel. The at least one word line selectively controls charge flow through the first transistor channel. The array further comprises a capacitor coupled to selectively store charge in the first transistor channel.

    Three-dimensional neural network array

    公开(公告)号:US11205116B2

    公开(公告)日:2021-12-21

    申请号:US15835375

    申请日:2017-12-07

    IPC分类号: G06N3/063 G06N3/04

    摘要: Three-dimensional neural network array. In an exemplary embodiment, a three-dimensional (3D) neural network includes a plurality of input conductors forming a plurality of stacked input layers having a first orientation, and at least one output conductor forming an output layer having the first orientation. The three-dimensional (3D) neural network also includes a plurality of hidden conductors having a second orientation. Each hidden conductor includes an in-line threshold element. The three-dimensional (3D) neural network also includes synapse elements coupled between the hidden conductors and the input conductors and between the hidden conductors and the output conductor. Each synapse element includes a programmable resistive element.

    Configurable three-dimensional neural network array

    公开(公告)号:US11182664B2

    公开(公告)日:2021-11-23

    申请号:US16006727

    申请日:2018-06-12

    IPC分类号: G06N3/04

    摘要: Configurable three-dimensional neural network array. In an exemplary embodiment, a three-dimensional (3D) neural network array includes a plurality of stacked synapse layers having a first orientation, and a plurality of synapse lines having a second orientation and passing through the synapse layers. The neural network array also includes synapse elements connected between the synapse layers and synapse lines. Each synapse element includes a programmable resistive element. The neural network array also includes a plurality of output neurons, and a plurality of select transistors connected between the synapse lines and the output neurons. The gate terminals of the select transistors receive input signals.

    HIGH-DENSITY NEURAL NETWORK ARRAY
    6.
    发明申请

    公开(公告)号:US20180157964A1

    公开(公告)日:2018-06-07

    申请号:US15821679

    申请日:2017-11-22

    IPC分类号: G06N3/04 G06N3/063

    CPC分类号: G06N3/04 G06N3/063

    摘要: A high-density neural network array. In an exemplary embodiment, an apparatus includes a three-dimensional (3D) structure having a plurality of layers forming a neural network. Each layer comprises one or more conductors forming neurons with each neuron having neuron inputs and neuron outputs. The apparatus also includes synapse elements coupled between the neurons outputs and the neuron inputs of neurons in adjacent layers. Each synapse element comprises a material that applies a selected weight to signals passing between neurons connected to that synapse element.

    QUANTUM BIT ARRAY
    7.
    发明申请

    公开(公告)号:US20210296556A1

    公开(公告)日:2021-09-23

    申请号:US17209107

    申请日:2021-03-22

    摘要: A quantum bit array is disclosed. In an embodiment, the quantum bit array includes a control gate coupled to a qubit and at least one pass gate coupled between the qubit and an adjacent qubit to control operation of the qubit of the quantum bit array, a bit line, and a first transistor channel that connects the bit line to the control gate. The array further comprises at least one word line coupled to the first transistor channel. The at least one word line selectively controls charge flow through the first transistor channel. The array further comprises a capacitor coupled to selectively store charge in the first transistor channel.

    TWO AND THREE-DIMENSIONAL NEURAL NETWORK ARRAYS

    公开(公告)号:US20190108437A1

    公开(公告)日:2019-04-11

    申请号:US16006730

    申请日:2018-06-12

    IPC分类号: G06N3/063 G06N3/04

    摘要: Two and three-dimensional neural network arrays. In an exemplary embodiment, a two-dimensional (2D) neural network array includes a plurality of input neurons connected to a plurality of input lines, and a plurality of output neurons connected to a plurality of output lines. The 2D neural network array also includes synapse elements connected between the input lines and the output lines. Each synapse element includes a programmable resistive element. A three-dimensional (3D) neural network array includes a plurality of stacked two-dimensional (2D) neural network arrays each having a plurality of input neurons connected to a plurality of input layers and a plurality of output neurons connected to a plurality of output layers. The output layers intersect with the input layers and include synapse elements formed between intersecting regions of the input layers and the output layers. Each synapse element includes a programmable resistive element.

    THREE-DIMENSIONAL NEURAL NETWORK ARRAY
    9.
    发明申请

    公开(公告)号:US20180165573A1

    公开(公告)日:2018-06-14

    申请号:US15835375

    申请日:2017-12-07

    IPC分类号: G06N3/063 G06N3/04

    CPC分类号: G06N3/063 G06N3/04 G06N3/0454

    摘要: Three-dimensional neural network array. In an exemplary embodiment, a three-dimensional (3D) neural network includes a plurality of input conductors forming a plurality of stacked input layers having a first orientation, and at least one output conductor forming an output layer having the first orientation. The three-dimensional (3D) neural network also includes a plurality of hidden conductors having a second orientation. Each hidden conductor includes an in-line threshold element. The three-dimensional (3D) neural network also includes synapse elements coupled between the hidden conductors and the input conductors and between the hidden conductors and the output conductor. Each synapse element includes a programmable resistive element.

    METHODS AND APPARATUS FOR NEURAL NETWORK ARRAYS

    公开(公告)号:US20220164638A1

    公开(公告)日:2022-05-26

    申请号:US17535510

    申请日:2021-11-24

    IPC分类号: G06N3/063 G06N3/04

    摘要: Methods and apparatus for neural network arrays are disclosed. In an embodiment, a neural network array includes a plurality of strings, each string having a drain select gate transistor connected to a plurality of non-volatile memory cells that are connected in series and function as synapses, and a plurality of output nodes, each output node connected to receive output signals from a plurality of drain terminals of the drain select gates. The array also includes a plurality of input nodes, each input node connected to provide input signals to a plurality of gate terminals of the drain select gates, and a plurality of weight select signals connected to the plurality of non-volatile memory cells in each string, respectively. Each weight select signal provides a selected voltage to a selected non-volatile memory cell to cause the selected non-volatile memory cell to conduct current according to a selected characteristic of the selected non-volatile memory cell.