公开(公告)号：US11270763B2

公开(公告)日：2022-03-08

申请号：US16382045

申请日：2019-04-11

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Steven Lemke ,  Vipin Tiwari ,  Nhan Do ,  Mark Reiten

IPC: G11C11/54 ,  H01L27/11521 ,  H01L29/423 ,  G11C16/04 ,  G06N3/04 ,  G11C16/10 ,  G11C16/14 ,  H01L29/788

Abstract: A neural network device with synapses having memory cells each having a floating gate and a first gate over first and second portions of a channel region disposed between source and drain regions, and a second gate over the floating gate or the source region. First lines each electrically connect the first gates in one of the memory cell rows, second lines each electrically connect the second gates in one of the memory cell rows, third lines each electrically connect the source regions in one of the memory cell columns, and fourth lines each electrically connect the drain regions in one of the memory cell columns. The synapses receive a first plurality of inputs as electrical voltages on the first or second lines, and provide a first plurality of outputs as electrical currents on the third or fourth lines.

公开(公告)号：US20220004860A1

公开(公告)日：2022-01-06

申请号：US17140924

申请日：2021-01-04

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Thuan Vu ,  Stanley Hong ,  Stephen Trinh ,  Anh Ly ,  Nhan Do ,  Mark Reiten

IPC: G06N3/063 ,  G11C11/408 ,  G11C11/4074 ,  G11C11/406

Abstract: Numerous embodiments of analog neural memory arrays are disclosed. Certain embodiments comprise an adaptive bias decoder for providing additional bias to array input lines to compensate for instances where ground floats above 0V. This is useful, for example, to minimize the voltage drop for a read, program, or erase operation while maintaining accuracy in the operation.

公开(公告)号：US20210287065A1

公开(公告)日：2021-09-16

申请号：US17238077

申请日：2021-04-22

Applicant: Silicon Storage Technology, Inc. ,  The Regents of the University of California

Inventor： Farnood Merrikh Bayat ,  Xinjie Guo ,  Dmitri Strukov ,  Nhan Do ,  Hieu Van Tran ,  Vipin Tiwari ,  Mark Reiten

IPC: G06N3/04 ,  G06N3/063 ,  G06F3/06

Abstract: A number of circuits for use in an output block coupled to a non-volatile memory array in a neural network are disclosed. The embodiments include a circuit for converting an output current from a neuron in a neural network into an output voltage, a circuit for converting a voltage received on an input node into an output current, a circuit for summing current received from a plurality of neurons in a neural network, and a circuit for summing current received from a plurality of neurons in a neural network.

公开(公告)号：US20210209456A1

公开(公告)日：2021-07-08

申请号：US16829757

申请日：2020-03-25

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Steven Lemke ,  Vipin Tiwari ,  Nhan Do ,  Mark Reiten

IPC: G06N3/063 ,  G11C11/54 ,  G11C11/56 ,  G06F17/16 ,  G06F1/03

Abstract: Numerous embodiments of a precision programming algorithm and apparatus are disclosed for precisely and quickly depositing the correct amount of charge on the floating gate of a non-volatile memory cell within a vector-by-matrix multiplication (VMM) array in an artificial neural network. Selected cells thereby can be programmed with extreme precision to hold one of N different values.

公开(公告)号：US20210142854A1

公开(公告)日：2021-05-13

申请号：US17125459

申请日：2020-12-17

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Vipin Tiwari ,  Nhan Do ,  Mark Reiten

IPC: G11C16/10 ,  G11C16/16 ,  G06N3/063

Abstract: Numerous embodiments of programming, verifying, and reading systems and methods for use with a vector-by-matrix multiplication (VMM) array in an artificial neural network are disclosed. Selected cells can be programmed and verified with extreme precision to hold one of N different values. During a read operation, the system determines which of the N different values is stored in a selected cell.

公开(公告)号：US10803943B2

公开(公告)日：2020-10-13

申请号：US16382034

申请日：2019-04-11

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Steven Lemke ,  Vipin Tiwari ,  Nhan Do ,  Mark Reiten

IPC: G11C16/04 ,  G11C11/34 ,  G06N3/063 ,  G06N3/08 ,  H01L29/788 ,  H01L27/11521 ,  G06N3/04 ,  H01L27/11517 ,  H01L29/423 ,  H01L27/11524 ,  H01L27/115 ,  G11C11/54

Abstract: A neural network device with synapses having memory cells each having a floating gate and a first gate over first and second portions of a channel region, and second and third gates over the floating gate and over the source region. First lines each electrically connect the first gates in one of the memory cell rows, second lines each electrically connect the second gates in one of the memory cell rows, third lines each electrically connect the third gates in one of the memory cell rows, fourth lines each electrically connect the source regions in one of the memory cell rows, and fifth lines each electrically connect the drain regions in one of the memory cell columns. The synapses receive a first plurality of inputs as electrical voltages on the first, second or third lines, and provide a first plurality of outputs as electrical currents on the fifth lines.

公开(公告)号：US20200234111A1

公开(公告)日：2020-07-23

申请号：US16353830

申请日：2019-03-14

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Vipin Tiwari ,  Mark Reiten ,  Nhan Do

IPC: G06N3/08 ,  G06N3/04 ,  G11C16/04

Abstract: Numerous embodiments are disclosed for converting neuron current output by a vector-by-matrix multiplication (VMM) array into neuron current-based time pulses and providing such pulses as an input to another VMM array within an artificial neural network. Numerous embodiments are disclosed for converting the neuron current-based time pulses into analog current or voltage values if an analog input is needed for the VMM array.

公开(公告)号：US20190237142A1

公开(公告)日：2019-08-01

申请号：US16382034

申请日：2019-04-11

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Steven Lemke ,  Vipin Tiwari ,  Nhan Do ,  Mark Reiten

IPC: G11C16/04 ,  H01L27/11517 ,  G06N3/04

Abstract: A neural network device with synapses having memory cells each having a floating gate and a first gate over first and second portions of a channel region, and second and third gates over the floating gate and over the source region. First lines each electrically connect the first gates in one of the memory cell rows, second lines each electrically connect the second gates in one of the memory cell rows, third lines each electrically connect the third gates in one of the memory cell rows, fourth lines each electrically connect the source regions in one of the memory cell rows, and fifth lines each electrically connect the drain regions in one of the memory cell columns. The synapses receive a first plurality of inputs as electrical voltages on the first, second or third lines, and provide a first plurality of outputs as electrical currents on the fifth lines.

公开(公告)号：US12124944B2

公开(公告)日：2024-10-22

申请号：US17185725

申请日：2021-02-25

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Steven Lemke ,  Nhan Do ,  Mark Reiten

IPC: G06N3/065 ,  G06F17/16

CPC classification number: G06N3/065 ,  G06F17/16

Abstract: Numerous embodiments of a precision programming algorithm and apparatus are disclosed for precisely and quickly depositing the correct amount of charge on the floating gate of a non-volatile memory cell within a vector-by-matrix multiplication (VMM) array in an artificial neural network. Selected cells thereby can be programmed with extreme precision to hold one of N different values.

公开(公告)号：US12061976B2

公开(公告)日：2024-08-13

申请号：US17181656

申请日：2021-02-22

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Vipin Tiwari ,  Mark Reiten ,  Nhan Do

IPC: G06N3/065 ,  G06F3/06 ,  G06F17/16 ,  G06N3/08 ,  G11C27/02

CPC classification number: G06N3/065 ,  G06F3/0688 ,  G06F17/16 ,  G06N3/08 ,  G11C27/02

Abstract: Numerous output circuits are disclosed for an analog neural memory system for a deep learning neural network. In one embodiment, an adaptable neuron circuit receives output current from a neuron and converts it into a voltage. In another embodiment, a current sample and hold circuit samples an input current and generates an output current. In another embodiment, a voltage sample and hold circuit samples an input voltage and generates an output voltage.