KR102329590B1 - 딥 신경망들의 동적 적응 - Google Patents

딥 신경망들의 동적 적응 Download PDF

Info

Publication number
KR102329590B1
KR102329590B1 KR1020190031438A KR20190031438A KR102329590B1 KR 102329590 B1 KR102329590 B1 KR 102329590B1 KR 1020190031438 A KR1020190031438 A KR 1020190031438A KR 20190031438 A KR20190031438 A KR 20190031438A KR 102329590 B1 KR102329590 B1 KR 102329590B1
Authority
KR
South Korea
Prior art keywords
weights
layer
dnn
precision
machine learning
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
KR1020190031438A
Other languages
English (en)
Korean (ko)
Other versions
KR20190110068A (ko
Inventor
세크 멍 차이
에즈윈 나다무니 라그하반
삼야크 파라주리
Original Assignee
에스알아이 인터내셔널
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US16/133,446 external-priority patent/US11429862B2/en
Application filed by 에스알아이 인터내셔널 filed Critical 에스알아이 인터내셔널
Publication of KR20190110068A publication Critical patent/KR20190110068A/ko
Application granted granted Critical
Publication of KR102329590B1 publication Critical patent/KR102329590B1/ko
Assigned to 레이턴트에이아이, 인크. reassignment 레이턴트에이아이, 인크. 권리의 전부이전등록 Assignors: 에스알아이 인터내셔널
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • G06N3/0442Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0495Quantised networks; Sparse networks; Compressed networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/0985Hyperparameter optimisation; Meta-learning; Learning-to-learn

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Neurology (AREA)
  • Machine Translation (AREA)
KR1020190031438A 2018-03-19 2019-03-19 딥 신경망들의 동적 적응 Active KR102329590B1 (ko)

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US201862644715P 2018-03-19 2018-03-19
US62/644,715 2018-03-19
US201862645358P 2018-03-20 2018-03-20
US62/645,358 2018-03-20
US16/133,446 US11429862B2 (en) 2018-03-20 2018-09-17 Dynamic adaptation of deep neural networks
US16/133,446 2018-09-17

Publications (2)

Publication Number Publication Date
KR20190110068A KR20190110068A (ko) 2019-09-27
KR102329590B1 true KR102329590B1 (ko) 2021-11-19

Family

ID=65904040

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020190031438A Active KR102329590B1 (ko) 2018-03-19 2019-03-19 딥 신경망들의 동적 적응

Country Status (3)

Country Link
EP (1) EP3543917B1 (https=)
JP (3) JP2019164793A (https=)
KR (1) KR102329590B1 (https=)

Families Citing this family (92)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018125928A1 (en) 2016-12-29 2018-07-05 DeepScale, Inc. Multi-channel sensor simulation for autonomous control systems
WO2018176000A1 (en) 2017-03-23 2018-09-27 DeepScale, Inc. Data synthesis for autonomous control systems
US11893393B2 (en) 2017-07-24 2024-02-06 Tesla, Inc. Computational array microprocessor system with hardware arbiter managing memory requests
US11157441B2 (en) 2017-07-24 2021-10-26 Tesla, Inc. Computational array microprocessor system using non-consecutive data formatting
US11409692B2 (en) 2017-07-24 2022-08-09 Tesla, Inc. Vector computational unit
US10671349B2 (en) 2017-07-24 2020-06-02 Tesla, Inc. Accelerated mathematical engine
US12307350B2 (en) 2018-01-04 2025-05-20 Tesla, Inc. Systems and methods for hardware-based pooling
US11561791B2 (en) 2018-02-01 2023-01-24 Tesla, Inc. Vector computational unit receiving data elements in parallel from a last row of a computational array
KR102329590B1 (ko) * 2018-03-19 2021-11-19 에스알아이 인터내셔널 딥 신경망들의 동적 적응
US11429862B2 (en) 2018-03-20 2022-08-30 Sri International Dynamic adaptation of deep neural networks
US11215999B2 (en) 2018-06-20 2022-01-04 Tesla, Inc. Data pipeline and deep learning system for autonomous driving
CN108985920A (zh) 2018-06-22 2018-12-11 阿里巴巴集团控股有限公司 套现识别方法和装置
US11361457B2 (en) 2018-07-20 2022-06-14 Tesla, Inc. Annotation cross-labeling for autonomous control systems
US11636333B2 (en) 2018-07-26 2023-04-25 Tesla, Inc. Optimizing neural network structures for embedded systems
US11562231B2 (en) 2018-09-03 2023-01-24 Tesla, Inc. Neural networks for embedded devices
KR20250078625A (ko) 2018-10-11 2025-06-02 테슬라, 인크. 증강 데이터로 기계 모델을 훈련하기 위한 시스템 및 방법
US11196678B2 (en) 2018-10-25 2021-12-07 Tesla, Inc. QOS manager for system on a chip communications
WO2020102888A1 (en) * 2018-11-19 2020-05-28 Tandemlaunch Inc. System and method for automated precision configuration for deep neural networks
US11816585B2 (en) 2018-12-03 2023-11-14 Tesla, Inc. Machine learning models operating at different frequencies for autonomous vehicles
US11537811B2 (en) 2018-12-04 2022-12-27 Tesla, Inc. Enhanced object detection for autonomous vehicles based on field view
US11610117B2 (en) 2018-12-27 2023-03-21 Tesla, Inc. System and method for adapting a neural network model on a hardware platform
US10997461B2 (en) 2019-02-01 2021-05-04 Tesla, Inc. Generating ground truth for machine learning from time series elements
US11150664B2 (en) 2019-02-01 2021-10-19 Tesla, Inc. Predicting three-dimensional features for autonomous driving
US11567514B2 (en) 2019-02-11 2023-01-31 Tesla, Inc. Autonomous and user controlled vehicle summon to a target
US10956755B2 (en) 2019-02-19 2021-03-23 Tesla, Inc. Estimating object properties using visual image data
US11657118B2 (en) * 2019-05-23 2023-05-23 Google Llc Systems and methods for learning effective loss functions efficiently
CN112668362B (zh) * 2019-10-15 2023-06-16 浙江中正智能科技有限公司 一种动态优化类代理的人证比对模型训练方法
CN114556380B (zh) * 2019-10-17 2026-01-30 富士通株式会社 机器学习程序、机器学习方法以及机器学习装置
US11775611B2 (en) 2019-11-01 2023-10-03 Samsung Electronics Co., Ltd. Piecewise quantization for neural networks
CN111079523B (zh) * 2019-11-05 2024-05-14 北京迈格威科技有限公司 物体检测方法、装置、计算机设备和存储介质
CN112784954B (zh) * 2019-11-08 2025-07-29 华为技术有限公司 确定神经网络的方法和装置
US11836490B2 (en) * 2019-11-14 2023-12-05 Nvidia Corporation Kernel coefficient quantization
US12039430B2 (en) * 2019-11-15 2024-07-16 Samsung Electronics Co., Ltd. Electronic device and method for inference binary and ternary neural networks
CN110942094B (zh) * 2019-11-26 2022-04-01 电子科技大学 一种基于范数的对抗性样本检测分类方法
WO2021112335A1 (ko) * 2019-12-06 2021-06-10 주식회사 애자일소다 생성적 적대 신경망 기반의 분류 시스템 및 방법
KR102093080B1 (ko) * 2019-12-06 2020-04-27 주식회사 애자일소다 레이블 데이터 및 비레이블 데이터를 이용한 생성적 적대 신경망 기반의 분류 시스템 및 방법
CN112926174B (zh) * 2019-12-06 2024-07-09 富益成科技有限公司 电池智能分流的控制方法及系统
US11899765B2 (en) 2019-12-23 2024-02-13 Dts Inc. Dual-factor identification system and method with adaptive enrollment
US11551145B2 (en) 2020-02-05 2023-01-10 International Business Machines Corporation Performance based switching of a model training process
WO2021158225A1 (en) * 2020-02-06 2021-08-12 Hewlett-Packard Development Company, L.P. Controlling machine learning model structures
CN111399933B (zh) * 2020-02-11 2022-05-31 福建师范大学 一种边缘-云混合计算环境下的dnn任务卸载方法及终端
JP7268069B2 (ja) 2020-02-21 2023-05-02 アクタピオ,インコーポレイテッド 学習装置、学習方法、学習プログラム、評価装置、評価方法、および評価プログラム
US11586932B2 (en) 2020-03-10 2023-02-21 International Business Machines Corporation Model training with variable batch sizing and gradient checkpoint segments
CN111401430B (zh) * 2020-03-12 2022-04-01 四川大学 一种基于双通道深度神经网络的图像在线分类方法
US20230093630A1 (en) * 2020-03-17 2023-03-23 Interdigital Ce Patent Holdings System and method for adapting to changing constraints
KR102488281B1 (ko) * 2020-03-30 2023-01-13 주식회사 모빌린트 인공신경망의 활성값 및 가중값의 정밀도를 적응적으로 제어하는 방법 및 그 장치
CN113688851B (zh) * 2020-05-18 2023-09-15 华为云计算技术有限公司 数据标注方法和装置和精细粒度识别方法和装置
US12015526B2 (en) * 2020-05-26 2024-06-18 Synopsys, Inc. Mixed-precision neural networks
KR102831990B1 (ko) * 2020-06-11 2025-07-10 울산과학기술원 이기종 그래픽 프로세서 유닛 클러스터를 이용한 마이크로서비스 기반의 트레이닝 시스템 및 그 동작 방법
CN111738419B (zh) * 2020-06-19 2024-01-12 北京百度网讯科技有限公司 神经网络模型的量化方法和装置
CN111783957B (zh) * 2020-07-02 2024-05-03 厦门美图之家科技有限公司 模型量化训练方法、装置、机器可读存储介质及电子设备
CN111831354B (zh) * 2020-07-09 2023-05-16 北京灵汐科技有限公司 数据精度配置方法、装置、芯片、芯片阵列、设备及介质
JP6992864B1 (ja) 2020-09-28 2022-01-13 沖電気工業株式会社 ニューラルネットワーク軽量化装置、ニューラルネットワーク軽量化方法およびプログラム
US12591771B2 (en) 2020-09-29 2026-03-31 Qualcomm Incorporated Dynamic quantization for energy efficient deep learning
WO2022081260A1 (en) 2020-10-16 2022-04-21 Starkey Laboratories, Inc. Hearing device with dynamic neural networks for sound enhancement
US12488249B2 (en) * 2020-10-20 2025-12-02 Samsung Electronics Co., Ltd. Secure, accurate and fast neural network inference by replacing at least one non-linear activation channel
CN114501353B (zh) * 2020-10-23 2024-01-05 维沃移动通信有限公司 通信信息的发送、接收方法及通信设备
CN112311488A (zh) * 2020-11-05 2021-02-02 上海应用技术大学 基于小波分解的频谱感知方法
US12159238B2 (en) 2020-12-10 2024-12-03 International Business Machines Corporation Automated machine learning model selection
GB2602294B (en) * 2020-12-22 2024-05-29 Imagination Tech Ltd Compressing a set of coefficients for subsequent use in a neural network
US20220253713A1 (en) * 2021-02-05 2022-08-11 Google Llc Training neural networks using layer-wise losses
KR102314864B1 (ko) * 2021-03-29 2021-10-19 주식회사 리트빅 차량운전 상태정보를 이용한 에지 딥러닝 기반의 차량 안전운전 시스템
KR20220147398A (ko) * 2021-04-27 2022-11-03 삼성전자주식회사 인공 지능 모델에 기반하여 데이터를 처리하는 전자 장치 및 그 동작 방법
JP7187065B1 (ja) 2021-06-25 2022-12-12 株式会社モルフォ 計算手法決定システム、計算手法決定方法、及び、計算手法決定プログラム
CN113761787B (zh) * 2021-07-19 2024-08-02 中南大学 基于深度迁移网络的高炉铁水硅含量在线预测方法及系统
WO2023023265A1 (en) 2021-08-19 2023-02-23 Tesla, Inc. Vision-based system training with simulated content
US12462575B2 (en) 2021-08-19 2025-11-04 Tesla, Inc. Vision-based machine learning model for autonomous driving with adjustable virtual camera
KR102590993B1 (ko) * 2021-09-03 2023-10-19 한국전자기술연구원 적응형 배치 프로세싱 방법 및 시스템
CN113872873B (zh) * 2021-09-29 2023-05-02 西安交通大学 一种适合5g新应用的多场景跨层拥塞控制方法
CN114037055A (zh) * 2021-11-05 2022-02-11 北京市商汤科技开发有限公司 数据处理系统、方法、装置、设备及存储介质
CN114118384B (zh) * 2021-12-09 2024-06-04 安谋科技(中国)有限公司 神经网络模型的量化方法、可读介质和电子设备
US20250068890A1 (en) 2021-12-24 2025-02-27 Sony Semiconductor Solutions Corporation Inference device, inference method, and computer-readable storage medium
US20250159177A1 (en) * 2022-02-18 2025-05-15 Intellectual Discovery Co., Ltd. Feature map compression method and apparatus
KR20240152306A (ko) * 2022-02-28 2024-10-21 퀄컴 인코포레이티드 멀티프로세서 컴퓨팅 디바이스에서 머신 러닝 동작들을 실행하기 위한 적응적 스케줄링
WO2023184359A1 (en) * 2022-03-31 2023-10-05 Qualcomm Incorporated System and method for image processing using mixed inference precision
CN114861654B (zh) * 2022-03-31 2025-02-14 合肥伴学虎科技有限公司 一种中文文本中基于词性融合的对抗训练的防御方法
CN115131858B (zh) * 2022-06-27 2025-11-18 合肥的卢深视科技有限公司 模型训练方法、人脸识别方法、电子设备及存储介质
WO2024063524A1 (ko) * 2022-09-21 2024-03-28 엘지전자 주식회사 무선 통신 시스템에서 온라인 학습을 수행하기 위한 장치 및 방법
CN116451824B (zh) * 2022-12-16 2024-08-20 西北工业大学 一种基于神经网络和蜜罐优化的光伏功率预测方法
WO2024155015A1 (ko) * 2023-01-18 2024-07-25 삼성전자 주식회사 영상 복호화 방법 및 장치, 및 영상 부호화 방법 및 장치
CN116381536B (zh) * 2023-03-07 2024-03-19 华中科技大学 一种基于回归元学习的锂电池健康状态预测的方法及系统
CN116129249B (zh) * 2023-04-04 2023-07-07 上海燧原科技有限公司 一种图像处理方法、装置、电子设备和存储介质
CN121195482A (zh) 2023-05-11 2025-12-23 欧摩威德国有限公司 用于无线电接入网络的高级模型适配的方法
CN116451757B (zh) * 2023-06-19 2023-09-08 山东浪潮科学研究院有限公司 一种神经网络模型的异构加速方法、装置、设备及介质
CN117033733B (zh) * 2023-10-09 2023-12-22 北京民谐文化传播有限公司 图书馆资源的智能自动分类与标签生成系统及方法
US20250148277A1 (en) * 2023-11-03 2025-05-08 Dell Products L.P. Entropy-based online learning with active sparse layer update for on-device training with resource-constrained devices
CN118196514B (zh) * 2024-03-25 2024-10-01 东营市人民医院 医疗影像识别模型生成方法及系统
WO2026032725A1 (en) 2024-08-07 2026-02-12 Aumovio Germany Gmbh Method of model associated ml condition matching
CN119004468B (zh) * 2024-10-24 2025-02-11 浙江君同智能科技有限责任公司 基于生成对抗网络数据解耦的数据平衡去毒方法
CN119741543B (zh) * 2024-12-10 2025-12-02 重庆邮电大学 一种用于物联网cnn推理的双支路模型训练方法
CN120277469B (zh) * 2025-04-01 2025-08-22 西北大学 一种基于参数融合的地层总有机碳预测方法
CN120454204B (zh) * 2025-07-01 2025-09-19 南京德睿特来电能源研究院有限公司 虚拟电厂功率控制方法、装置、设备及存储介质

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0451386A (ja) * 1990-06-19 1992-02-19 Canon Inc ニューラルネットワーク及びその構築方法
JPH0628323A (ja) * 1992-07-06 1994-02-04 Nippon Telegr & Teleph Corp <Ntt> プロセス実行制御方法
US20150242741A1 (en) * 2014-02-21 2015-08-27 Qualcomm Incorporated In situ neural network co-processing
US11106973B2 (en) * 2016-03-16 2021-08-31 Hong Kong Applied Science and Technology Research Institute Company Limited Method and system for bit-depth reduction in artificial neural networks
GB201607713D0 (en) * 2016-05-03 2016-06-15 Imagination Tech Ltd Convolutional neural network
KR102329590B1 (ko) * 2018-03-19 2021-11-19 에스알아이 인터내셔널 딥 신경망들의 동적 적응

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Aswin Raghavan et.al., "BitNet: Bit-Regularized Deep Neural Networks," arXiv.org, CORNELL University Library, 16 Aug. 2017 (2017.08.16)*
Geoffrey Hinton et. al., "Distilling the knowledge in a neural network," arXiv:1503.02531v1 [stat.ML], 09 Mar. 2015 (2015.03.09)*

Also Published As

Publication number Publication date
JP2022066192A (ja) 2022-04-28
EP3543917B1 (en) 2024-01-03
JP2024050691A (ja) 2024-04-10
JP7725628B2 (ja) 2025-08-19
EP3543917A1 (en) 2019-09-25
JP2019164793A (ja) 2019-09-26
KR20190110068A (ko) 2019-09-27

Similar Documents

Publication Publication Date Title
KR102329590B1 (ko) 딥 신경망들의 동적 적응
US11429862B2 (en) Dynamic adaptation of deep neural networks
Marchisio et al. Deep learning for edge computing: Current trends, cross-layer optimizations, and open research challenges
Goel et al. A survey of methods for low-power deep learning and computer vision
Sze et al. Efficient processing of deep neural networks: A tutorial and survey
US11494626B2 (en) Runtime-throttleable neural networks
WO2020242767A1 (en) Using metamodeling for fast and accurate hyperparameter optimization of machine learning and deep learning models
CN116830122B (zh) 用于联合学习的方法、系统和装置
US20220108156A1 (en) Hardware architecture for processing data in sparse neural network
WO2020095321A2 (en) Dynamic structure neural machine for solving prediction problems with uses in machine learning
US20210264237A1 (en) Processor for reconstructing artificial neural network, electrical device including the same, and operating method of processor
US20220067453A1 (en) Adaptive and hierarchical convolutional neural networks using partial reconfiguration on fpga
CN116569182A (zh) 具有用以优化经生成以用于在人工神经网络的深度学习加速器上执行的指令的人工神经网络的编译器
Véstias Deep learning on edge: Challenges and trends
US12572794B2 (en) System and method for automated optimization of a neural network model
Mordacci et al. Multi-class quantum convolutional neural networks
Violos et al. Frugal machine learning for energy-efficient and resource-aware artificial intelligence
Putra et al. Spikernel: A kernel size exploration methodology for improving accuracy of the embedded spiking neural network systems
Alqahtani Efficient Deep Learning for Plant Disease Classification in Resource Constrained Environment
Ardestani Design and optimization of hardware accelerators for deep learning
Wang et al. Pruning-Optimized Bayesian Neural Networks for Image Classification
US20250278615A1 (en) Method and storage medium for quantizing graph-based neural network model with optimized parameters
Tailor Practical processing and acceleration of graph neural networks
US20250139474A1 (en) Mitigating bias in machine learning without positive outcome rate regressions
US20260037238A1 (en) Compiling machine learning software for execution at edge devices

Legal Events

Date Code Title Description
E13-X000 Pre-grant limitation requested

St.27 status event code: A-2-3-E10-E13-lim-X000

PA0109 Patent application

St.27 status event code: A-0-1-A10-A12-nap-PA0109

P11-X000 Amendment of application requested

St.27 status event code: A-2-2-P10-P11-nap-X000

P13-X000 Application amended

St.27 status event code: A-2-2-P10-P13-nap-X000

A201 Request for examination
PA0201 Request for examination

St.27 status event code: A-1-2-D10-D11-exm-PA0201

PG1501 Laying open of application

St.27 status event code: A-1-1-Q10-Q12-nap-PG1501

E902 Notification of reason for refusal
PE0902 Notice of grounds for rejection

St.27 status event code: A-1-2-D10-D21-exm-PE0902

E13-X000 Pre-grant limitation requested

St.27 status event code: A-2-3-E10-E13-lim-X000

P11-X000 Amendment of application requested

St.27 status event code: A-2-2-P10-P11-nap-X000

P13-X000 Application amended

St.27 status event code: A-2-2-P10-P13-nap-X000

E90F Notification of reason for final refusal
PE0902 Notice of grounds for rejection

St.27 status event code: A-1-2-D10-D21-exm-PE0902

T11-X000 Administrative time limit extension requested

St.27 status event code: U-3-3-T10-T11-oth-X000

T11-X000 Administrative time limit extension requested

St.27 status event code: U-3-3-T10-T11-oth-X000

E13-X000 Pre-grant limitation requested

St.27 status event code: A-2-3-E10-E13-lim-X000

P11-X000 Amendment of application requested

St.27 status event code: A-2-2-P10-P11-nap-X000

P13-X000 Application amended

St.27 status event code: A-2-2-P10-P13-nap-X000

E701 Decision to grant or registration of patent right
PE0701 Decision of registration

St.27 status event code: A-1-2-D10-D22-exm-PE0701

GRNT Written decision to grant
PR0701 Registration of establishment

St.27 status event code: A-2-4-F10-F11-exm-PR0701

PR1002 Payment of registration fee

St.27 status event code: A-2-2-U10-U11-oth-PR1002

Fee payment year number: 1

PG1601 Publication of registration

St.27 status event code: A-4-4-Q10-Q13-nap-PG1601

P22-X000 Classification modified

St.27 status event code: A-4-4-P10-P22-nap-X000

PR1001 Payment of annual fee

St.27 status event code: A-4-4-U10-U11-oth-PR1001

Fee payment year number: 4

R18-X000 Changes to party contact information recorded

St.27 status event code: A-5-5-R10-R18-oth-X000

PN2301 Change of applicant

St.27 status event code: A-5-5-R10-R11-asn-PN2301

PN2301 Change of applicant

St.27 status event code: A-5-5-R10-R14-asn-PN2301

PR1001 Payment of annual fee

St.27 status event code: A-4-4-U10-U11-oth-PR1001

Fee payment year number: 5

U11 Full renewal or maintenance fee paid

Free format text: ST27 STATUS EVENT CODE: A-4-4-U10-U11-OTH-PR1001 (AS PROVIDED BY THE NATIONAL OFFICE)

Year of fee payment: 5