公开(公告)号：US20240098991A1

公开(公告)日：2024-03-21

申请号：US18520526

申请日：2023-11-27

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Thuan Vu ,  Stephen Trinh ,  Stanley Hong ,  Toan Le ,  Nghia Le ,  Hien Pham

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

CPC classification number: H10B41/42 ,  G06N3/08 ,  G11C16/0425 ,  H01L29/7883

Abstract: In one example, a system comprises an array comprising selected memory cells; an input block configured to apply, to each selected memory cell, a series of input signals to a terminal of the selected memory cell in response to a series of input bits; and an output block for generating an output of the selected memory cells, the output block comprising an analog-to-digital converter to convert current from the selected memory cells into a digital value, a shifter, an adder, and a register; wherein the shifter, adder, and register are configured to receive a series of digital values in response to the series of input bits, shift each digital value in the series of digital values based on a bit location of an input bit within the series of input bits, and add results of the shift operations to generate an output indicating values stored in the selected memory cells.

公开(公告)号：US11915747B2

公开(公告)日：2024-02-27

申请号：US17856839

申请日：2022-07-01

Applicant: Silicon Storage Technology, Inc.

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

IPC: G11C11/54 ,  G11C16/04 ,  G11C16/08 ,  G11C16/16 ,  G11C16/34 ,  G11C16/10 ,  G06N3/065

CPC classification number: G11C11/54 ,  G06N3/065 ,  G11C16/0483 ,  G11C16/08 ,  G11C16/10 ,  G11C16/16 ,  G11C16/3418 ,  G11C2216/04

Abstract: Numerous examples for performing tuning of a page or a word of non-volatile memory cells in an analog neural memory are disclosed. In one example, an analog neural memory system comprises an array of non-volatile memory cells arranged into rows and columns, each non-volatile memory cell comprising a word line terminal, a bit line terminal, and an erase gate terminal; a plurality of word lines, each word line coupled to word line terminals of a row of non-volatile memory cells; a plurality of bit lines, each bit line coupled to bit line terminals of a column of non-volatile memory cells; and a plurality of erase gate enable transistors, each erase gate enable transistor coupled to erase gate terminals of a word of non-volatile memory cells.

公开(公告)号：US11893478B2

公开(公告)日：2024-02-06

申请号：US17367542

申请日：2021-07-05

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran

IPC: G06N3/065 ,  G06N3/04

CPC classification number: G06N3/065 ,  G06N3/04

Abstract: Numerous embodiments are disclosed for programmable output blocks for use with a VMM array within an artificial neural network. In one embodiment, the gain of an output block can be configured by a configuration signal. In another embodiment, the resolution of an ADC in the output block can be configured by a configuration signal.

公开(公告)号：US20230325649A1

公开(公告)日：2023-10-12

申请号：US17847486

申请日：2022-06-23

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Thuan Vu ,  Stanley Hong ,  Stephen Trinh ,  Mark Reiten

IPC: G06N3/063 ,  G06F17/16

CPC classification number: G06N3/0635 ,  G06F17/16

Abstract: Numerous examples are disclosed of an artificial neural network that comprises vector-by-matrix multiplication arrays utilizing analog inputs. In one example, a system comprises a vector by matrix multiplication array comprising a plurality of non-volatile memory cells arranged in rows and columns, a capacitor comprising a first terminal and a second terminal, the second terminal coupled to a common potential, a row decoder to enable an application of an input signal to the first terminal of the capacitor in response to an address, and a buffer coupled to the first terminal of the capacitor, the buffer to generate an output voltage for a respective row of the vector by matrix multiplication array.

公开(公告)号：US20230325645A1

公开(公告)日：2023-10-12

申请号：US17848371

申请日：2022-06-23

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Mark Reiten ,  Nhan Do

IPC: G06N3/063 ,  G06F17/16

CPC classification number: G06N3/063 ,  G06F17/16

Abstract: Numerous examples are disclosed of an artificial neural network comprising a three-dimensional integrated circuit. In one embodiment, a three-dimensional integrated circuit for use in an artificial neural network comprises a first die comprising a first vector by matrix multiplication array and a first input multiplexor, the first die located on a first vertical layer; a second die comprising an input circuit, the second die located on a second vertical layer different than the first vertical layer; and one or more vertical interfaces coupling the first die and the second die; wherein during a read operation, the input circuit provides an input signal to the first input multiplexor over at least one of the one or more vertical interfaces, the first input multiplexor applies the input signal to one or more rows in the first vector by matrix multiplication array, and the first vector by matrix multiplication array generates an output.

公开(公告)号：US20230306246A1

公开(公告)日：2023-09-28

申请号：US17724415

申请日：2022-04-19

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran

IPC: G06N3/063

CPC classification number: G06N3/063

Abstract: Numerous examples are disclosed for performing calibration of various electrical parameters in a deep learning artificial neural network. In one example, a method comprises adjusting a bias voltage applied to one or more non-volatile memory cells in an artificial neural network, performing a performance target check on the one or more non-volatile memory cells in the artificial neural network, and repeating the adjusting and performing until the performance target check indicates an electrical parameter is within a predetermined range.

公开(公告)号：US20230292504A1

公开(公告)日：2023-09-14

申请号：US17834746

申请日：2022-06-07

Applicant: Silicon Storage Technology, Inc.

Inventor： Zhuoqiang Jia ,  Leo Xing ,  Xian Liu ,  Serguei Jourba ,  Nhan Do

IPC: H01L27/11531 ,  H01L29/423 ,  H01L21/28 ,  H01L29/788 ,  H01L29/66

CPC classification number: H01L27/11531 ,  H01L29/42328 ,  H01L29/40114 ,  H01L29/7883 ,  H01L29/66825

Abstract: A method includes recessing an upper surface of a substrate in first and second areas relative to a third area, forming a first conductive layer in the first area, forming a second conductive layer in the three areas, selectively removing the first and second conductive layers in the first area, while maintaining the second conductive layer in the second and third areas, leaving pairs of stack structures in the first area respectively having a control gate of the second conductive layer and a floating gate of the first conductive layer, forming a third conductive layer in the three areas, recessing the upper surface of the third conductive layer below tops of the stack structures and removing the third conductive layer from the second and third areas, removing the second conductive layer from the second and third areas, and forming blocks of metal material in the second and third areas.

公开(公告)号：US20230290864A1

公开(公告)日：2023-09-14

申请号：US17824812

申请日：2022-05-25

Applicant: Silicon Storage Technology, Inc.

Inventor： Serguei Jourba ,  Catherine Decobert ,  Feng Zhou ,  Jinho Kim ,  Xian Liu ,  Nhan Do

IPC: H01L29/66 ,  H01L21/8234 ,  H01L29/08 ,  H01L29/788 ,  H01L29/423 ,  H01L29/78 ,  H01L27/11556

CPC classification number: H01L29/66795 ,  H01L21/823418 ,  H01L21/823431 ,  H01L21/823412 ,  H01L29/0847 ,  H01L29/66825 ,  H01L29/788 ,  H01L29/42328 ,  H01L29/7851 ,  H01L27/11556

Abstract: A method of forming a device on a silicon substrate having first, second and third areas includes recessing an upper substrate surface in the first and third areas, forming an upwardly extending silicon fin in the second area, forming first source, drain and channel regions in the first area, forming second source, drain and channel regions in the fin, forming third source, drain and channel regions in the third area, forming a floating gate over a first portion of the first channel region using a first polysilicon deposition, forming an erase gate over the first source region and a device gate over the third channel region using a second polysilicon deposition, and forming a word line gate over a second portion of the first channel region, a control gate over the floating gate, and a logic gate over the second channel region using a metal deposition.

公开(公告)号：US11727989B2

公开(公告)日：2023-08-15

申请号：US17734807

申请日：2022-05-02

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran ,  Thuan Vu ,  Stanley Hong ,  Anh Ly ,  Vipin Tiwari ,  Nhan Do

IPC: G11C16/04 ,  G06N3/08 ,  H01L29/788 ,  H10B41/30 ,  G06N3/045

CPC classification number: G11C16/0425 ,  G06N3/08 ,  H01L29/7883 ,  H01L29/7885 ,  H10B41/30 ,  G06N3/045

Abstract: Numerous embodiments are disclosed for a high voltage generation algorithm and system for generating high voltages necessary for a particular programming operation in analog neural memory used in a deep learning artificial neural network. In one example, a method for programming a plurality of non-volatile memory cells in an array of non-volatile memory cells, comprises generating a high voltage, and programming a plurality of non-volatile memory cells in an array using the high voltage when a programming enable signal is asserted and providing a feedback loop to maintain the high voltage while programming the plurality of non-volatile memory cells.

公开(公告)号：US20230252276A1

公开(公告)日：2023-08-10

申请号：US17727650

申请日：2022-04-22

Applicant: Silicon Storage Technology, Inc.

Inventor： Hieu Van Tran

IPC: G06N3/063 ,  G06F17/12 ,  H03M1/14

CPC classification number: G06N3/0635 ,  G06F17/12 ,  H03M1/142

Abstract: Numerous examples are disclosed for performing calibration of various electrical parameters in a deep learning artificial neural network. In one example, a system comprises a digital-to-analog converter for receiving an input of k bits and generating a first analog output, a mapping scalar for converting the first analog output into a second analog output, and an analog-to-digital converter for generating an output of n bits from the second analog output, where n is a different value than k.