JP6941103B2 - 半導体用途のための機械学習ベースのモデルの加速トレーニング - Google Patents

半導体用途のための機械学習ベースのモデルの加速トレーニング Download PDF

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JP6941103B2
JP6941103B2 JP2018534670A JP2018534670A JP6941103B2 JP 6941103 B2 JP6941103 B2 JP 6941103B2 JP 2018534670 A JP2018534670 A JP 2018534670A JP 2018534670 A JP2018534670 A JP 2018534670A JP 6941103 B2 JP6941103 B2 JP 6941103B2
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JP2019508789A (ja
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クリス バスカー
クリス バスカー
ローラン カーセンティ
ローラン カーセンティ
スコット エイ ヤング
スコット エイ ヤング
モハン マハデヴァン
モハン マハデヴァン
ジン チャン
ジン チャン
ブライアン ダフィー
ブライアン ダフィー
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KLA Corp
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    • G06—COMPUTING OR CALCULATING; COUNTING
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    • G01N21/84—Systems specially adapted for particular applications
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    • G03F—PHOTOMECHANICAL PRODUCTION OF TEXTURED OR PATTERNED SURFACES, e.g. FOR PRINTING, FOR PROCESSING OF SEMICONDUCTOR DEVICES; MATERIALS THEREFOR; ORIGINALS THEREFOR; APPARATUS SPECIALLY ADAPTED THEREFOR
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    • G06N3/088—Non-supervised learning, e.g. competitive learning
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    • G06N3/0895—Weakly supervised learning, e.g. semi-supervised or self-supervised learning
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10P—GENERIC PROCESSES OR APPARATUS FOR THE MANUFACTURE OR TREATMENT OF DEVICES COVERED BY CLASS H10
    • H10P74/00—Testing or measuring during manufacture or treatment of wafers, substrates or devices
    • H10P74/23—Testing or measuring during manufacture or treatment of wafers, substrates or devices characterised by multiple measurements, corrections, marking or sorting processes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/12—Circuits of general importance; Signal processing
    • G01N2201/129—Using chemometrical methods
    • G01N2201/1296—Using chemometrical methods using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/06—Recognition of objects for industrial automation
    • H—ELECTRICITY
    • H10—SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10P—GENERIC PROCESSES OR APPARATUS FOR THE MANUFACTURE OR TREATMENT OF DEVICES COVERED BY CLASS H10
    • H10P74/00—Testing or measuring during manufacture or treatment of wafers, substrates or devices
    • H10P74/20—Testing or measuring during manufacture or treatment of wafers, substrates or devices characterised by the properties tested or measured, e.g. structural or electrical properties
    • H10P74/203—Structural properties, e.g. testing or measuring thicknesses, line widths, warpage, bond strengths or physical defects

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  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Testing Or Measuring Of Semiconductors Or The Like (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Medical Informatics (AREA)
JP2018534670A 2015-12-31 2016-12-30 半導体用途のための機械学習ベースのモデルの加速トレーニング Active JP6941103B2 (ja)

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US201562273985P 2015-12-31 2015-12-31
US62/273,985 2015-12-31
US15/394,792 2016-12-29
US15/394,792 US9916965B2 (en) 2015-12-31 2016-12-29 Hybrid inspectors
PCT/US2016/069580 WO2017117568A1 (en) 2015-12-31 2016-12-30 Accelerated training of a machine learning based model for semiconductor applications

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JP2019508789A5 JP2019508789A5 (https=) 2020-02-13
JP6941103B2 true JP6941103B2 (ja) 2021-09-29

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KR20180090385A (ko) 2018-08-10
CN108475351A (zh) 2018-08-31
IL259705B (en) 2021-07-29
EP3398123A4 (en) 2019-08-28
JP2019508789A (ja) 2019-03-28
IL259705A (en) 2018-07-31
EP3398123A1 (en) 2018-11-07

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