公开(公告)号：US20220405564A1

公开(公告)日：2022-12-22

申请号：US17893075

申请日：2022-08-22

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Thuan Vu ,  Stephen Trinh ,  Stanley Hong ,  Anh Ly ,  Steven Lemke ,  Nha Nguyen ,  Vipin Tiwari ,  Nhan Do

IPC: G06N3/063 ,  G06N3/04 ,  G11C16/04 ,  G11C16/10 ,  G11C16/34

Abstract: Testing circuitry and methods are disclosed for use with analog neural memory in deep learning artificial neural networks. In one example, a method comprises programming a plurality of analog neural non-volatile memory cells in an array of analog neural non-volatile memory cells to store one of N different values, where N is a number of different levels that can be stored in any of the analog neural non-volatile memory cells; measuring a current drawn by the plurality of analog neural non-volatile memory cells; comparing the measured current to a target value; and identifying the plurality of the analog neural non-volatile memory cells as bad if the difference between the measured value and the target value exceeds a threshold.

公开(公告)号：US11482530B2

公开(公告)日：2022-10-25

申请号：US16919697

申请日：2020-07-02

Applicant: Silicon Storage Technology, Inc.

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

IPC: H01L27/11531 ,  G06N3/08 ,  G11C16/04 ,  H01L29/788

Abstract: Numerous embodiments of a precision tuning 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：US20220319619A1

公开(公告)日：2022-10-06

申请号：US17839294

申请日：2022-06-13

Applicant: Silicon Storage Technology, Inc,

Inventor： Hieu Van Tran ,  Thuan Vu ,  Stephen Trinh ,  Stanley Hong ,  Anh Ly ,  Steven Lemke ,  Nha Nguyen ,  Vipin Tiwari ,  Nhan Do

IPC: G11C16/34 ,  G11C16/10 ,  G06N3/063 ,  G06F3/06 ,  G06N3/08 ,  G11C16/26 ,  G11C29/10

Abstract: Circuitry and methods are disclosed for compensating for leakage in analog neural memory in deep learning artificial neural networks. In one example, a method is disclosed of compensating for leakage in an array of analog neural non-volatile memory cells, wherein the array is arranged in rows and columns, wherein each row is coupled to a word line and each column is coupled to a bitline, the method comprising measuring leakage for a column of analog neural non-volatile memory cells coupled to a bitline; storing the measured leakage value; and applying the measured leakage value during a read operation of the column of analog neural non-volatile memory cells to compensate for the leakage.

公开(公告)号：US11449741B2

公开(公告)日：2022-09-20

申请号：US16569647

申请日：2019-09-12

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Thuan Vu ,  Stephen Trinh ,  Stanley Hong ,  Anh Ly ,  Steven Lemke ,  Nha Nguyen ,  Vipin Tiwari ,  Nhan Do

IPC: G06N3/063 ,  G06N3/04 ,  G11C16/04 ,  G11C16/10 ,  G11C16/34 ,  G11C16/08

Abstract: Testing circuitry and methods are disclosed for use with analog neural memory in deep learning artificial neural networks. The analog neural memory comprises one or more arrays of non-volatile memory cells. The testing circuitry and methods can be utilized during sort tests, qualification tests, and other tests to verify programming operations of one or more cells.

公开(公告)号：US11362100B2

公开(公告)日：2022-06-14

申请号：US17069563

申请日：2020-10-13

Applicant: Silicon Storage Technology, Inc.

Inventor： Feng Zhou ,  Xian Liu ,  Steven Lemke ,  Hieu Van Tran ,  Nhan Do

IPC: H01L27/11517 ,  H01L27/11529 ,  H01L29/788 ,  H01L29/423 ,  H01L29/66 ,  H01L27/11551

Abstract: Memory cells formed on upwardly extending fins of a semiconductor substrate, each including source and drain regions with a channel region therebetween, a floating gate extending along the channel region and wrapping around the fin, a word line gate extending along the channel region and wrapping around the fin, a control gate over the floating gate, and an erase gate over the source region. The control gates are a continuous conductive strip of material. First and second fins are spaced apart by a first distance. Third and fourth fins are spaced apart by a second distance. The second and third fins are spaced apart by a third distance greater than the first and second distances. The continuous strip includes a portion disposed between the second and third fins, but no portion of the continuous strip is disposed between the first and second fins nor between the third and fourth fins.

公开(公告)号：US11158374B2

公开(公告)日：2021-10-26

申请号：US16930777

申请日：2020-07-16

Applicant: Silicon Storage Technology, Inc.

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

IPC: G11C16/04 ,  G06F17/16 ,  G06N3/063 ,  G06N3/08 ,  G06N3/04

Abstract: Numerous embodiments are disclosed for providing temperature compensation in a an analog memory array. The analog memory array optionally is a vector-by-matrix multiplier in an analog neuromorphic memory system used in a deep learning neural network. One embodiment comprises measuring an operating temperature within a memory array and applying, by a temperature compensation block, a bias voltage to a terminal of a memory cell in the array, wherein the bias voltage is a function of the operating temperature.

公开(公告)号：US10755783B2

公开(公告)日：2020-08-25

申请号：US16183250

申请日：2018-11-07

Applicant: Silicon Storage Technology, Inc.

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

IPC: G11C16/04 ,  G06F17/16 ,  G06N3/063 ,  G06N3/08 ,  G06N3/04

Abstract: Numerous embodiments are disclosed for providing temperature compensation and leakage compensation for an analog neuromorphic memory system used in a deep learning neural network. The embodiments for providing temperature compensation implement discreet or continuous adaptive slope compensation and renormalization for devices, reference memory cells, or selected memory cells in the memory system. The embodiments for providing leakage compensation within a memory cell in the memory system implement adaptive erase gate coupling or the application of a negative bias on a control gate terminal, a negative bias on a word line terminal, or a bias on a source line terminal.

公开(公告)号：US10699779B2

公开(公告)日：2020-06-30

申请号：US16382013

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

Abstract: A neural network device having a first plurality of synapses that includes a plurality of memory cells. Each memory cell includes a floating gate over a first portion of a channel region and a first gate over a second portion of the channel region. The memory cells are arranged in rows and columns. A plurality of first lines each electrically connect together the first gates in one of the memory cell rows, a plurality of second lines each electrically connect together the source regions in one of the memory cell rows, and a plurality of third lines each electrically connect together the drain regions in one of the memory cell columns. The first plurality of synapses receives a first plurality of inputs as electrical voltages on the plurality of third lines, and provides a first plurality of outputs as electrical currents on the plurality of second lines.

公开(公告)号：US20200066345A1

公开(公告)日：2020-02-27

申请号：US16183250

申请日：2018-11-07

Applicant: Silicon Storage Technology, Inc.

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

IPC: G11C16/04 ,  G06F17/16 ,  G06N3/063

Abstract: Numerous embodiments are disclosed for providing temperature compensation and leakage compensation for an analog neuromorphic memory system used in a deep learning neural network. The embodiments for providing temperature compensation implement discreet or continuous adaptive slope compensation and renormalization for devices, reference memory cells, or selected memory cells in the memory system. The embodiments for providing leakage compensation within a memory cell in the memory system implement adaptive erase gate coupling or the application of a negative bias on a control gate terminal, a negative bias on a word line terminal, or a bias on a source line terminal.

公开(公告)号：US12200926B2

公开(公告)日：2025-01-14

申请号：US17949962

申请日：2022-09-21

Applicant: Silicon Storage Technology, Inc.

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

IPC: H10B41/42 ,  G06N3/08 ,  G11C16/04 ,  H01L29/788

Abstract: Numerous examples of an input function circuit block and an output neuron circuit block coupled to a vector-by-matrix multiplication (VMM) array in an artificial neural network are disclosed. In one example, an artificial neural network comprises a vector-by-matrix multiplication array comprising a plurality of non-volatile memory cells organized into rows and columns; an input function circuit block to receive digital input signals, convert the digital input signals into analog signals, and apply the analog signals to control gate terminals of non-volatile memory cells in one or more rows of the array during a programming operation; and an output neuron circuit block to receive analog currents from the columns of the array during a read operation and generate an output signal.