
Harris C. Wang
Examiner (ID: 16910, Phone: (571)270-1462 , Office: P/2439 )
| Most Active Art Unit | 2439 |
| Art Unit(s) | 2439, 2139 |
| Total Applications | 626 |
| Issued Applications | 417 |
| Pending Applications | 50 |
| Abandoned Applications | 179 |
Applications
| Application number | Title of the application | Filing Date | Status |
|---|---|---|---|
Array
(
[id] => 16623974
[patent_doc_number] => 20210042627
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-02-11
[patent_title] => METHOD FOR RECOGNIZING AN ADVERSARIAL DISTURBANCE IN INPUT DATA OF A NEURAL NETWORK
[patent_app_type] => utility
[patent_app_number] => 16/986556
[patent_app_country] => US
[patent_app_date] => 2020-08-06
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 5388
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -12
[patent_words_short_claim] => 87
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16986556
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/986556 | Method for recognizing an adversarial disturbance in input data of a neural network | Aug 5, 2020 | Issued |
Array
(
[id] => 17402020
[patent_doc_number] => 20220044110
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-02-10
[patent_title] => CONTROLLING AGENTS USING REINFORCEMENT LEARNING WITH MIXED-INTEGER PROGRAMMING
[patent_app_type] => utility
[patent_app_number] => 16/987246
[patent_app_country] => US
[patent_app_date] => 2020-08-06
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 9141
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 342
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16987246
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/987246 | CONTROLLING AGENTS USING REINFORCEMENT LEARNING WITH MIXED-INTEGER PROGRAMMING | Aug 5, 2020 | Abandoned |
Array
(
[id] => 17737030
[patent_doc_number] => 20220222490
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-07-14
[patent_title] => INFORMATION PROCESSING DEVICE, METHOD AND PROGRAM
[patent_app_type] => utility
[patent_app_number] => 17/610184
[patent_app_country] => US
[patent_app_date] => 2020-07-30
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 3588
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -5
[patent_words_short_claim] => 107
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17610184
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/610184 | INFORMATION PROCESSING DEVICE, METHOD AND PROGRAM | Jul 29, 2020 | Pending |
Array
(
[id] => 16616320
[patent_doc_number] => 20210034973
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-02-04
[patent_title] => TRAINING NEURAL NETWORKS USING LEARNED ADAPTIVE LEARNING RATES
[patent_app_type] => utility
[patent_app_number] => 16/943957
[patent_app_country] => US
[patent_app_date] => 2020-07-30
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 6768
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 208
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16943957
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/943957 | TRAINING NEURAL NETWORKS USING LEARNED ADAPTIVE LEARNING RATES | Jul 29, 2020 | Abandoned |
Array
(
[id] => 16470873
[patent_doc_number] => 20200372410
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-11-26
[patent_title] => MODEL BASED REINFORCEMENT LEARNING BASED ON GENERALIZED HIDDEN PARAMETER MARKOV DECISION PROCESSES
[patent_app_type] => utility
[patent_app_number] => 16/881557
[patent_app_country] => US
[patent_app_date] => 2020-05-22
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 8885
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 173
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16881557
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/881557 | MODEL BASED REINFORCEMENT LEARNING BASED ON GENERALIZED HIDDEN PARAMETER MARKOV DECISION PROCESSES | May 21, 2020 | Pending |
Array
(
[id] => 16285531
[patent_doc_number] => 20200279133
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-09-03
[patent_title] => Structured Sparsity Guided Training In An Artificial Neural Network
[patent_app_type] => utility
[patent_app_number] => 16/879775
[patent_app_country] => US
[patent_app_date] => 2020-05-21
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 33000
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -15
[patent_words_short_claim] => 66
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16879775
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/879775 | Structured sparsity guided training in an artificial neural network | May 20, 2020 | Issued |
Array
(
[id] => 19476124
[patent_doc_number] => 12106219
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-10-01
[patent_title] => Method and apparatus with neural network data quantizing
[patent_app_type] => utility
[patent_app_number] => 15/931362
[patent_app_country] => US
[patent_app_date] => 2020-05-13
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 13
[patent_figures_cnt] => 14
[patent_no_of_words] => 13506
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 2
[patent_words_short_claim] => 206
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15931362
[rel_patent_id] =>[rel_patent_doc_number] =>) 15/931362 | Method and apparatus with neural network data quantizing | May 12, 2020 | Issued |
Array
(
[id] => 17202591
[patent_doc_number] => 20210342686
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-11-04
[patent_title] => CONTENT MANAGEMENT USING ONE OR MORE NEURAL NETWORKS
[patent_app_type] => utility
[patent_app_number] => 16/862976
[patent_app_country] => US
[patent_app_date] => 2020-04-30
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 66751
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -25
[patent_words_short_claim] => 31
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16862976
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/862976 | CONTENT MANAGEMENT USING ONE OR MORE NEURAL NETWORKS | Apr 29, 2020 | Pending |
Array
(
[id] => 16347806
[patent_doc_number] => 20200312457
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-10-01
[patent_title] => METHOD AND SYSTEM FOR CREATING SYNTHETIC UNSTRUCTURED FREE-TEXT MEDICAL DATA FOR TRAINING MACHINE LEARNING MODELS
[patent_app_type] => utility
[patent_app_number] => 16/831971
[patent_app_country] => US
[patent_app_date] => 2020-03-27
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 7466
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -16
[patent_words_short_claim] => 67
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16831971
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/831971 | METHOD AND SYSTEM FOR CREATING SYNTHETIC UNSTRUCTURED FREE-TEXT MEDICAL DATA FOR TRAINING MACHINE LEARNING MODELS | Mar 26, 2020 | Abandoned |
Array
(
[id] => 16363658
[patent_doc_number] => 20200320409
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-10-08
[patent_title] => MODEL CREATION SUPPORTING METHOD AND MODEL CREATION SUPPORTING SYSTEM
[patent_app_type] => utility
[patent_app_number] => 16/823562
[patent_app_country] => US
[patent_app_date] => 2020-03-19
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 10712
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -8
[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] => 16823562
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/823562 | MODEL CREATION SUPPORTING METHOD AND MODEL CREATION SUPPORTING SYSTEM | Mar 18, 2020 | Abandoned |
Array
(
[id] => 20175133
[patent_doc_number] => 12393882
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2025-08-19
[patent_title] => Time series analysis using a shapelet learning method with area under the curve
[patent_app_type] => utility
[patent_app_number] => 16/815358
[patent_app_country] => US
[patent_app_date] => 2020-03-11
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 21
[patent_figures_cnt] => 24
[patent_no_of_words] => 9516
[patent_no_of_claims] => 7
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 866
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16815358
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/815358 | Time series analysis using a shapelet learning method with area under the curve | Mar 10, 2020 | Issued |
Array
(
[id] => 16508547
[patent_doc_number] => 20200387803
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-12-10
[patent_title] => AUTOMATED ANALYTICAL MODEL RETRAINING WITH A KNOWLEDGE GRAPH
[patent_app_type] => utility
[patent_app_number] => 16/743130
[patent_app_country] => US
[patent_app_date] => 2020-01-15
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 5522
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 74
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16743130
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/743130 | Automated analytical model retraining with a knowledge graph | Jan 14, 2020 | Issued |
Array
(
[id] => 16903785
[patent_doc_number] => 20210182701
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-06-17
[patent_title] => VIRTUAL DATA SCIENTIST WITH PRESCRIPTIVE ANALYTICS
[patent_app_type] => utility
[patent_app_number] => 16/717017
[patent_app_country] => US
[patent_app_date] => 2019-12-17
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 15501
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 227
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16717017
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/717017 | VIRTUAL DATA SCIENTIST WITH PRESCRIPTIVE ANALYTICS | Dec 16, 2019 | Abandoned |
Array
(
[id] => 15967815
[patent_doc_number] => 20200167659
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-05-28
[patent_title] => DEVICE AND METHOD FOR TRAINING NEURAL NETWORK
[patent_app_type] => utility
[patent_app_number] => 16/696061
[patent_app_country] => US
[patent_app_date] => 2019-11-26
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 13535
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 118
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16696061
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/696061 | DEVICE AND METHOD FOR TRAINING NEURAL NETWORK | Nov 25, 2019 | Abandoned |
Array
(
[id] => 16117745
[patent_doc_number] => 20200210895
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-07-02
[patent_title] => TIME SERIES DATA PROCESSING DEVICE AND OPERATING METHOD THEREOF
[patent_app_type] => utility
[patent_app_number] => 16/694921
[patent_app_country] => US
[patent_app_date] => 2019-11-25
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 12026
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 117
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16694921
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/694921 | TIME SERIES DATA PROCESSING DEVICE AND OPERATING METHOD THEREOF | Nov 24, 2019 | Abandoned |
Array
(
[id] => 15999013
[patent_doc_number] => 20200175377
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-06-04
[patent_title] => TRAINING APPARATUS, PROCESSING APPARATUS, NEURAL NETWORK, TRAINING METHOD, AND MEDIUM
[patent_app_type] => utility
[patent_app_number] => 16/693025
[patent_app_country] => US
[patent_app_date] => 2019-11-22
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 11511
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -15
[patent_words_short_claim] => 78
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16693025
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/693025 | TRAINING APPARATUS, PROCESSING APPARATUS, NEURAL NETWORK, TRAINING METHOD, AND MEDIUM | Nov 21, 2019 | Abandoned |
Array
(
[id] => 16811003
[patent_doc_number] => 20210133558
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-05-06
[patent_title] => DEEP-LEARNING MODEL CREATION RECOMMENDATIONS
[patent_app_type] => utility
[patent_app_number] => 16/670690
[patent_app_country] => US
[patent_app_date] => 2019-10-31
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 6103
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -16
[patent_words_short_claim] => 123
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16670690
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/670690 | DEEP-LEARNING MODEL CREATION RECOMMENDATIONS | Oct 30, 2019 | Abandoned |
Array
(
[id] => 19645744
[patent_doc_number] => 20240420264
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-12-19
[patent_title] => Risk Evaluation and Threat Mitigation Using Artificial Intelligence
[patent_app_type] => utility
[patent_app_number] => 16/591555
[patent_app_country] => US
[patent_app_date] => 2019-10-02
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 30843
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -159
[patent_words_short_claim] => 2
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16591555
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/591555 | Risk Evaluation and Threat Mitigation Using Artificial Intelligence | Oct 1, 2019 | Pending |
Array
(
[id] => 17977829
[patent_doc_number] => 11494695
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2022-11-08
[patent_title] => Training neural networks to generate structured embeddings
[patent_app_type] => utility
[patent_app_number] => 16/586223
[patent_app_country] => US
[patent_app_date] => 2019-09-27
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 5
[patent_figures_cnt] => 6
[patent_no_of_words] => 7199
[patent_no_of_claims] => 19
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 418
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16586223
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/586223 | Training neural networks to generate structured embeddings | Sep 26, 2019 | Issued |
Array
(
[id] => 17338556
[patent_doc_number] => 20220004887
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-01-06
[patent_title] => FAST AND EFFICIENT CLASSIFICATION SYSTEM
[patent_app_type] => utility
[patent_app_number] => 17/280709
[patent_app_country] => US
[patent_app_date] => 2019-09-27
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 9807
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -13
[patent_words_short_claim] => 127
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17280709
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/280709 | FAST AND EFFICIENT CLASSIFICATION SYSTEM | Sep 26, 2019 | Pending |