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1. WO2021206892 - APPARATUSES, SYSTEMS, AND METHODS FOR. MACHINE LEARNING USING ON-MEMORY PATTERN MATCHING

Publication Number WO/2021/206892
Publication Date 14.10.2021
International Application No. PCT/US2021/023250
International Filing Date 19.03.2021
IPC
G11C 11/4093 2006.1
GPHYSICS
11INFORMATION STORAGE
CSTATIC STORES
11Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor
21using electric elements
34using semiconductor devices
40using transistors
401forming cells needing refreshing or charge regeneration, i.e. dynamic cells
4063Auxiliary circuits, e.g. for addressing, decoding, driving, writing, sensing or timing
407for memory cells of the field-effect type
409Read-write circuits
4093Input/output data interface arrangements, e.g. data buffers
G06N 3/08 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06F 3/06 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
3Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
06Digital input from, or digital output to, record carriers
G11C 11/4076 2006.1
GPHYSICS
11INFORMATION STORAGE
CSTATIC STORES
11Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor
21using electric elements
34using semiconductor devices
40using transistors
401forming cells needing refreshing or charge regeneration, i.e. dynamic cells
4063Auxiliary circuits, e.g. for addressing, decoding, driving, writing, sensing or timing
407for memory cells of the field-effect type
4076Timing circuits
G11C 7/10 2006.1
GPHYSICS
11INFORMATION STORAGE
CSTATIC STORES
7Arrangements for writing information into, or reading information out from, a digital store
10Input/output data interface arrangements, e.g. I/O data control circuits, I/O data buffers
CPC
G06K 9/6201
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6201Matching; Proximity measures
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06N 5/047
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5Computer systems using knowledge-based models
04Inference methods or devices
046Forward inferencing; Production systems
047Pattern matching networks; RETE networks
Applicants
  • MICRON TECHNOLOGY, INC. [US]/[US]
Inventors
  • WU, Di
  • VECHES, Anthony D.
  • REHMEYER, James S.
  • BELL, Debra M.
  • WANG, Libo
Agents
  • ANDKEN, Kerry Lee
  • ANDKEN, Kerry Lee
  • ENG, Kimton
  • ITO, Mika
  • HEGSTROM, Brandon
  • QUECAN, Andrew F.
  • SPAITH, Jennifer
  • CORDRAY, Michael S.
Priority Data
16/840,91606.04.2020US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) APPARATUSES, SYSTEMS, AND METHODS FOR. MACHINE LEARNING USING ON-MEMORY PATTERN MATCHING
(FR) APPAREILS, SYSTÈMES, ET PROCÉDÉS POUR L'APPRENTISSAGE AUTOMATIQUE AU MOYEN D'UNE MISE EN CORRESPONDANCE SUR LA MÉMOIRE
Abstract
(EN)
Embodiments of the disclosure are drawn to apparatuses, systems, methods for performing operations associated with machine learning. Machine learning operations may include processing a data set, training a machine learning algorithm, and applying a trained algorithm to a data set. Some of the machine learning operations, such as pattern matching operations, may be performed within a memory device.
(FR)
Des modes de réalisation de la présente divulgation ont trait à des appareils, à des systèmes, à des procédés pour réaliser des opérations associées à l'apprentissage automatique. Les opérations d'apprentissage automatique peuvent comprendre le traitement d'un ensemble de données, l'entraînement d'un algorithme d'apprentissage automatique, et l'application d'un algorithme entraîné à un ensemble de données. Certaines des opérations d'apprentissage automatique, telles que des opérations de mise en correspondance de motifs, peuvent être réalisées à l'intérieur d'un dispositif de mémoire.
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