Search

Edna Wong

Examiner (ID: 7865, Phone: (571)272-1349 , Office: P/1759 )

Most Active Art Unit
1795
Art Unit(s)
1795, 1751, 1753, 1759, 1102, 1741, 1111
Total Applications
2585
Issued Applications
1631
Pending Applications
215
Abandoned Applications
738

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 16315125 [patent_doc_number] => 20200293863 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-17 [patent_title] => SYSTEM AND METHOD FOR EFFICIENT UTILIZATION OF MULTIPLIERS IN NEURAL-NETWORK COMPUTATIONS [patent_app_type] => utility [patent_app_number] => 16/298022 [patent_app_country] => US [patent_app_date] => 2019-03-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6549 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 71 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16298022 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/298022
SYSTEM AND METHOD FOR EFFICIENT UTILIZATION OF MULTIPLIERS IN NEURAL-NETWORK COMPUTATIONS Mar 10, 2019 Abandoned
Array ( [id] => 18592439 [patent_doc_number] => 11741342 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-08-29 [patent_title] => Resource-efficient neural architects [patent_app_type] => utility [patent_app_number] => 16/297412 [patent_app_country] => US [patent_app_date] => 2019-03-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 15 [patent_no_of_words] => 9221 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 279 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16297412 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/297412
Resource-efficient neural architects Mar 7, 2019 Issued
Array ( [id] => 16300220 [patent_doc_number] => 20200285943 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-10 [patent_title] => Optimizing Hierarchical Classification with Adaptive Node Collapses [patent_app_type] => utility [patent_app_number] => 16/291263 [patent_app_country] => US [patent_app_date] => 2019-03-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13171 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [patent_words_short_claim] => 187 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16291263 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/291263
Optimizing hierarchical classification with adaptive node collapses Mar 3, 2019 Issued
Array ( [id] => 15441017 [patent_doc_number] => 20200034692 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-01-30 [patent_title] => MACHINE LEARNING SYSTEM AND METHOD FOR COPING WITH POTENTIAL OUTLIERS AND PERFECT LEARNING IN CONCEPT-DRIFTING ENVIRONMENT [patent_app_type] => utility [patent_app_number] => 16/278626 [patent_app_country] => US [patent_app_date] => 2019-02-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8485 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 184 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16278626 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/278626
MACHINE LEARNING SYSTEM AND METHOD FOR COPING WITH POTENTIAL OUTLIERS AND PERFECT LEARNING IN CONCEPT-DRIFTING ENVIRONMENT Feb 17, 2019 Abandoned
Array ( [id] => 18303677 [patent_doc_number] => 11625583 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-04-11 [patent_title] => Quality monitoring and hidden quantization in artificial neural network computations [patent_app_type] => utility [patent_app_number] => 16/274426 [patent_app_country] => US [patent_app_date] => 2019-02-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 10 [patent_no_of_words] => 8115 [patent_no_of_claims] => 23 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 156 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16274426 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/274426
Quality monitoring and hidden quantization in artificial neural network computations Feb 12, 2019 Issued
Array ( [id] => 16225457 [patent_doc_number] => 20200250574 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-08-06 [patent_title] => TECHNIQUES FOR BIMODAL LEARNING IN A FINANCIAL CONTEXT [patent_app_type] => utility [patent_app_number] => 16/268480 [patent_app_country] => US [patent_app_date] => 2019-02-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14256 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 163 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16268480 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/268480
Techniques for bimodal learning in a financial context Feb 4, 2019 Issued
Array ( [id] => 19596181 [patent_doc_number] => 12154029 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-11-26 [patent_title] => Continual reinforcement learning with a multi-task agent [patent_app_type] => utility [patent_app_number] => 16/268414 [patent_app_country] => US [patent_app_date] => 2019-02-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 8054 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 594 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16268414 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/268414
Continual reinforcement learning with a multi-task agent Feb 4, 2019 Issued
Array ( [id] => 14689965 [patent_doc_number] => 20190244098 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-08 [patent_title] => OPTIMIZATION SYSTEM, OPTIMIZATION APPARATUS, AND OPTIMIZATION SYSTEM CONTROL METHOD [patent_app_type] => utility [patent_app_number] => 16/266165 [patent_app_country] => US [patent_app_date] => 2019-02-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10963 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -4 [patent_words_short_claim] => 186 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16266165 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/266165
Optimization system, optimization apparatus, and optimization system control method for solving optimization problems by a stochastic search Feb 3, 2019 Issued
Array ( [id] => 16225395 [patent_doc_number] => 20200250512 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-08-06 [patent_title] => HELLINGER DISTANCE FOR MEASURING ACCURACIES OF MEAN AND STANDARD DEVIATION PREDICTION OF DYNAMIC BOLTZMANN MACHINE [patent_app_type] => utility [patent_app_number] => 16/264863 [patent_app_country] => US [patent_app_date] => 2019-02-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7128 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 159 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16264863 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/264863
Hellinger distance for measuring accuracies of mean and standard deviation prediction of dynamic Boltzmann machine Jan 31, 2019 Issued
Array ( [id] => 18331083 [patent_doc_number] => 11636330 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-04-25 [patent_title] => Systems and methods for classification using structured and unstructured attributes [patent_app_type] => utility [patent_app_number] => 16/262620 [patent_app_country] => US [patent_app_date] => 2019-01-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 11832 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 404 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16262620 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/262620
Systems and methods for classification using structured and unstructured attributes Jan 29, 2019 Issued
Array ( [id] => 16559574 [patent_doc_number] => 20210004723 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-07 [patent_title] => LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM [patent_app_type] => utility [patent_app_number] => 16/982798 [patent_app_country] => US [patent_app_date] => 2019-01-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8048 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -7 [patent_words_short_claim] => 232 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16982798 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/982798
LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM Jan 28, 2019 Pending
Array ( [id] => 16208931 [patent_doc_number] => 20200241921 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-30 [patent_title] => BUILDING NEURAL NETWORKS FOR RESOURCE ALLOCATION FOR ITERATIVE WORKLOADS USING REINFORCEMENT LEARNING [patent_app_type] => utility [patent_app_number] => 16/259244 [patent_app_country] => US [patent_app_date] => 2019-01-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8260 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 254 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16259244 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/259244
Building neural networks for resource allocation for iterative workloads using reinforcement learning Jan 27, 2019 Issued
Array ( [id] => 14314179 [patent_doc_number] => 20190146793 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-05-16 [patent_title] => Apparatus and Methods for Vector Based Transcendental Functions [patent_app_type] => utility [patent_app_number] => 16/247237 [patent_app_country] => US [patent_app_date] => 2019-01-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4091 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 80 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16247237 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/247237
Apparatus and Methods for Vector Based Transcendental Functions Jan 13, 2019 Abandoned
Array ( [id] => 14690003 [patent_doc_number] => 20190244117 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-08 [patent_title] => STREAMING ENGINE FOR MACHINE LEARNING ARCHITECTURE [patent_app_type] => utility [patent_app_number] => 16/226534 [patent_app_country] => US [patent_app_date] => 2018-12-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13098 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 143 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16226534 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/226534
Streaming engine for machine learning architecture Dec 18, 2018 Issued
Array ( [id] => 16078489 [patent_doc_number] => 20200193231 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-06-18 [patent_title] => Training Model Generation [patent_app_type] => utility [patent_app_number] => 16/221914 [patent_app_country] => US [patent_app_date] => 2018-12-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7246 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 76 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16221914 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/221914
Training Model Generation Dec 16, 2018 Pending
Array ( [id] => 14473857 [patent_doc_number] => 20190188573 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-20 [patent_title] => TRAINING OF ARTIFICIAL NEURAL NETWORKS USING SAFE MUTATIONS BASED ON OUTPUT GRADIENTS [patent_app_type] => utility [patent_app_number] => 16/220541 [patent_app_country] => US [patent_app_date] => 2018-12-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5333 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 88 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16220541 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/220541
Training of artificial neural networks using safe mutations based on output gradients Dec 13, 2018 Issued
Array ( [id] => 16078589 [patent_doc_number] => 20200193281 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-06-18 [patent_title] => METHOD FOR AUTOMATING SUPERVISORY SIGNAL DURING TRAINING OF A NEURAL NETWORK USING BARCODE SCAN [patent_app_type] => utility [patent_app_number] => 16/218969 [patent_app_country] => US [patent_app_date] => 2018-12-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8958 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 191 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16218969 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/218969
METHOD FOR AUTOMATING SUPERVISORY SIGNAL DURING TRAINING OF A NEURAL NETWORK USING BARCODE SCAN Dec 12, 2018 Abandoned
Array ( [id] => 16003195 [patent_doc_number] => 20200177468 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-06-04 [patent_title] => TECHNIQUES FOR ANALYZING A NETWORK AND INCREASING NETWORK AVAILABILITY [patent_app_type] => utility [patent_app_number] => 16/206964 [patent_app_country] => US [patent_app_date] => 2018-11-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9615 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 106 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16206964 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/206964
Techniques for analyzing a network and increasing network availability Nov 29, 2018 Issued
Array ( [id] => 17977759 [patent_doc_number] => 11494622 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-11-08 [patent_title] => Method and apparatus for implementing a deep neural network performing an activation function [patent_app_type] => utility [patent_app_number] => 16/181195 [patent_app_country] => US [patent_app_date] => 2018-11-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 16 [patent_no_of_words] => 14896 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 28 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16181195 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/181195
Method and apparatus for implementing a deep neural network performing an activation function Nov 4, 2018 Issued
Array ( [id] => 15838363 [patent_doc_number] => 20200134464 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-30 [patent_title] => DYNAMIC BOLTZMANN MACHINE FOR ESTIMATING TIME-VARYING SECOND MOMENT [patent_app_type] => utility [patent_app_number] => 16/176247 [patent_app_country] => US [patent_app_date] => 2018-10-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15507 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 86 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16176247 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/176247
Dynamic Boltzmann machine for estimating time-varying second moment Oct 30, 2018 Issued
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