公开(公告)号：US20220083846A1

公开(公告)日：2022-03-17

申请号：US17198448

申请日：2021-03-11

Applicant: Kioxia Corporation

Inventor： Radu BERDAN ,  Daisuke MIYASHITA ,  Jun DEGUCHI

IPC: G06N3/063 ,  G06F7/544 ,  G06N3/04

Abstract: According to one embodiment, in a processing circuit of a computation system, a plurality of comparators corresponds to the respective columns, each including a first input node, a second input node, and an output node, the first input node receiving any one of the second signals, the second input node receiving a signal corresponding to a global reference signal provided to each second input node, the output node outputting a local signal. A global circuit is provided common to the plurality of comparators, the global circuit generating a global signal according to a plurality of the local signals, the global circuit generating the global reference signal by an SAR method according to the global signal. The processing circuit disables some of the plurality of comparators according to the local signals and the global signal.

公开(公告)号：US20230185529A1

公开(公告)日：2023-06-15

申请号：US17840691

申请日：2022-06-15

Applicant: Kioxia Corporation

Inventor： Radu BERDAN ,  Daisuke MIYASHITA ,  Jun DEGUCHI

IPC: G06F7/523 ,  G06F7/50 ,  G06N3/063

CPC classification number: G06F7/523 ,  G06F7/50 ,  G06N3/063

Abstract: According to one embodiment, in a calculation system, a plurality of multiplying elements is arrayed to form a plurality of rows and a plurality of columns and are configured to multiply a plurality of first signals by respective weights to generate a plurality of calculation results and are configured to calculate a sum of calculation results in each column among the plurality of calculation results to generate a plurality of second signals individually for the plurality of columns. A first processing circuit is configured to receive the plurality of second signals generated by the adding elements, and to extract values corresponding to certain second signals among the plurality of second signals. A second processing circuit including a plurality of address circuits corresponding to the plurality of second signals, and configured to selectively enable address circuits corresponding to the certain second signals among the plurality of address circuits.

公开(公告)号：US20230153386A1

公开(公告)日：2023-05-18

申请号：US17807005

申请日：2022-06-15

Applicant: Kioxia Corporation

Inventor： Kengo NAKATA ,  Asuka MAKI ,  Daisuke MIYASHITA ,  Jun DEGUCHI

IPC: G06K9/00 ,  G06K9/62

CPC classification number: G06K9/00523 ,  G06K9/6256 ,  G06K9/00503

Abstract: According to one embodiment, an information processing method includes: calculating a first feature amount of query data in a first field; calculating first similarity degrees between the first feature amount and second feature amounts in the first field; obtaining, based on the first similarity degrees, third feature amounts in a second field that are associated with feature amounts selected from the second feature amounts, the second field being different from the first field; calculating fourth feature amounts in the second field, for choices concerning the query data; calculating second similarity degrees between the third feature amounts and the fourth feature amounts; and selecting, based on the second similarity degrees, an answer to the query data among answer candidates corresponding to the third feature amounts.

公开(公告)号：US20230307052A1

公开(公告)日：2023-09-28

申请号：US17901239

申请日：2022-09-01

Applicant: Kioxia Corporation

Inventor： Jun DEGUCHI ,  Daisuke MIYASHITA ,  Atsushi KAWASUMI ,  Hidehiro SHIGA ,  Shinji MIYANO ,  Shinichi SASAKI

IPC: G11C16/08

CPC classification number: G11C16/08

Abstract: A semiconductor storage device includes a memory cell array including a plurality of word line groups and a plurality of blocks corresponding to the plurality of word line groups. Each of word line groups includes a plurality of word lines and each of the blocks includes a plurality of memory cells. The plurality of memory cells of each block are connected to the respective word lines of a corresponding one of the word line groups. The semiconductor storage device includes a row decoder including a plurality of word line group decoders corresponding to the plurality of word line groups, respectively. Each of the plurality of word line group decoders is configured to drive a word line independent from a word line driven in another of the word line groups, when all of the plurality of word line groups are activated in parallel.

公开(公告)号：US20220309075A1

公开(公告)日：2022-09-29

申请号：US17304190

申请日：2021-06-16

Applicant: Kioxia Corporation

Inventor： Yasuto HOSHI ,  Daisuke MIYASHITA ,  Jun DEGUCHI

IPC: G06F16/25 ,  G06F16/242 ,  G06N3/04 ,  G06F16/245

Abstract: According to one embodiment, an information processing device includes: an encoder including a first layer and a second layer which are coupled in series; and a decoder. The encoder is configured to: generate, based on first data, a first key and a first value in the first layer, and a second key and a second value in the second layer; and generate, based on second data different from the first data, a first query in the first layer, and a second query in the second layer. The decoder is configured to: generate third data which is included in the first data and is not included in the second data, based on the first key, the first value, the first query, the second key, the second value, and the second query.

公开(公告)号：US20220083848A1

公开(公告)日：2022-03-17

申请号：US17195775

申请日：2021-03-09

Applicant: Kioxia Corporation

Inventor： Daisuke MIYASHITA ,  Radu BERDAN ,  Yasuto HOSHI ,  Jun DEGUCHI

IPC: G06N3/063 ,  G06K9/62 ,  G06F17/16 ,  G06F7/544

Abstract: According to an embodiment, an arithmetic device configured to execute an operation related to a neural network approximately calculates similarities between a first vector and a plurality of second vectors. Further, the arithmetic device selects, among the plurality of second vectors, a plurality of third vectors whose similarities are equal to or greater than a threshold. Furthermore, the arithmetic device also calculates similarities between the first vector and the selected plurality of third vectors.

公开(公告)号：US20240095244A1

公开(公告)日：2024-03-21

申请号：US18333949

申请日：2023-06-13

Applicant: Kioxia Corporation

Inventor： Daisuke MIYASHITA ,  Taiga IKEDA ,  Jun DEGUCHI

IPC: G06F16/2455 ,  G06F16/2453 ,  G06N3/08

CPC classification number: G06F16/2455 ,  G06F16/24542 ,  G06N3/08

Abstract: According to an embodiment, a method includes receiving a query, and selecting one of first objects on the basis of the query and a neural network model. Each of the first objects is associated with one or more pieces of first data in a group of first data stored on a first memory. The method further includes calculating a metric of a distance between the query and one or more pieces of second data. The one or more pieces of second data are one or more pieces of first data associated with a second object. The second object is the one of the first objects having been selected. The method further includes identifying third data on the basis of the metric of the distance. The third data is first data closest to the query in the group of the first data.

公开(公告)号：US20230185468A1

公开(公告)日：2023-06-15

申请号：US17840981

申请日：2022-06-15

Applicant: Kioxia Corporation

Inventor： Taiga IKEDA ,  Daisuke MIYASHITA ,  Jun DEGUCHI ,  Asuka MAKI

IPC: G06F3/06 ,  G06F12/02

CPC classification number: G06F3/0638 ,  G06F3/0611 ,  G06F3/0685 ,  G06F12/023 ,  G06F2212/1024

Abstract: An information processing device includes a first memory, a second memory, and a processor. The first memory stores clusters into which first data segments are grouped according to distances among the first data segments and each including one or more first data segments. The second memory is operable at a higher speed than the first memory and stores second data segments corresponding one-to-one to the clusters. The processor receives an input query and identify a third data segment being one of the second data segments closest to the query, from the second data segments. The processor collectively reads, from the first memory, one or more first data segments included in a cluster corresponding to the third data segment among the clusters, and identify a fourth data segment being one of the first data segments closest to the query from the one or more first data segments for output.

公开(公告)号：US20210089885A1

公开(公告)日：2021-03-25

申请号：US16811137

申请日：2020-03-06

Applicant: Kioxia Corporation

Inventor： Daisuke MIYASHITA ,  Jun DEGUCHI ,  Asuka MAKI ,  Fumihiko TACHIBANA ,  Shinichi SASAKI ,  Kengo NAKATA

IPC: G06N3/08 ,  G06N3/04 ,  G06N3/063

Abstract: According to one embodiment, a training device includes a first memory, a second memory, and a processing circuit. The first memory is a memory accessible at a higher speed than the second memory. The training device executes a training process of a machine learning model using a stochastic gradient descent method. The processing circuit stores a first output produced by the process of a first layer in the second memory, and stores a second output produced by the process of a second layer, in a forward process of the training process. The processing circuit updates a parameter of the second layer based on the second output stored in the first memory, reads the first output stored in the second memory, and updates a parameter of the first layer based on the read first output, in a backward process of the training process.

公开(公告)号：US20230367965A1

公开(公告)日：2023-11-16

申请号：US18181642

申请日：2023-03-10

Applicant: Kioxia Corporation

Inventor： Yasuto HOSHI ,  Daisuke MIYASHITA ,  Jun DEGUCHI

IPC: G06F40/295 ,  G06N3/045

CPC classification number: G06F40/295 ,  G06N3/045

Abstract: According to one embodiment, an apparatus includes: an interface circuit configured to receive first data items respectively relating to documents and a second data item relating to a question; and a processor configured to process the first and second data items, wherein the processor is configured to: extract first named entities respectively from the first data items and extract a second named entity from the second data item; generate first vectors respectively relating to the first data items and the corresponding first named entities; generate a second vector relating to the second data item and the second named entity; calculate a similarity between each of the first vectors and the second vector; and acquire a third data item relating to an answer retrieved from the first data items based on a result of calculating the similarity.