
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] => 19639172
[patent_doc_number] => 12169781
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-12-17
[patent_title] => Methods, architectures and systems for program defined systems
[patent_app_type] => utility
[patent_app_number] => 18/393780
[patent_app_country] => US
[patent_app_date] => 2023-12-22
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 17
[patent_figures_cnt] => 30
[patent_no_of_words] => 23475
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 1
[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] => 18393780
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/393780 | Methods, architectures and systems for program defined systems | Dec 21, 2023 | Issued |
Array
(
[id] => 19220328
[patent_doc_number] => 20240185032
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-06-06
[patent_title] => ENCODING AND RECONSTRUCTING INPUTS USING NEURAL NETWORKS
[patent_app_type] => utility
[patent_app_number] => 18/505492
[patent_app_country] => US
[patent_app_date] => 2023-11-09
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 10430
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[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] => 18505492
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/505492 | ENCODING AND RECONSTRUCTING INPUTS USING NEURAL NETWORKS | Nov 8, 2023 | Pending |
Array
(
[id] => 19787644
[patent_doc_number] => 20250061323
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2025-02-20
[patent_title] => ACTIVE LEARNING WITH ANNOTATION SCORES
[patent_app_type] => utility
[patent_app_number] => 18/367223
[patent_app_country] => US
[patent_app_date] => 2023-09-12
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 75743
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 40
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18367223
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/367223 | ACTIVE LEARNING WITH ANNOTATION SCORES | Sep 11, 2023 | Pending |
Array
(
[id] => 18599359
[patent_doc_number] => 20230274159
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-08-31
[patent_title] => System and Method for Predicting Fine-Grained Adversarial Multi-Agent Motion
[patent_app_type] => utility
[patent_app_number] => 18/313050
[patent_app_country] => US
[patent_app_date] => 2023-05-05
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 9064
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 175
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18313050
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/313050 | System and method for predicting fine-grained adversarial multi-agent motion | May 4, 2023 | Issued |
Array
(
[id] => 18881849
[patent_doc_number] => 20240005218
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-01-04
[patent_title] => MODEL INTERPRETATION
[patent_app_type] => utility
[patent_app_number] => 18/137972
[patent_app_country] => US
[patent_app_date] => 2023-04-21
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 10142
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 272
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18137972
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/137972 | Model interpretation | Apr 20, 2023 | Issued |
Array
(
[id] => 19514682
[patent_doc_number] => 20240346368
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-10-17
[patent_title] => AUGMENTED FEATURE ENABLEMENT OF MACHINE LEARNING MODELS VIA GRAPH NEURAL NETWORKS
[patent_app_type] => utility
[patent_app_number] => 18/301508
[patent_app_country] => US
[patent_app_date] => 2023-04-17
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 8807
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[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] => 18301508
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/301508 | AUGMENTED FEATURE ENABLEMENT OF MACHINE LEARNING MODELS VIA GRAPH NEURAL NETWORKS | Apr 16, 2023 | Pending |
Array
(
[id] => 18678440
[patent_doc_number] => 20230316088
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-10-05
[patent_title] => SYSTEM AND METHOD FOR MULTI-OBJECTIVE REINFORCEMENT LEARNING
[patent_app_type] => utility
[patent_app_number] => 18/130776
[patent_app_country] => US
[patent_app_date] => 2023-04-04
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 13921
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -20
[patent_words_short_claim] => 113
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18130776
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/130776 | SYSTEM AND METHOD FOR MULTI-OBJECTIVE REINFORCEMENT LEARNING | Apr 3, 2023 | Pending |
Array
(
[id] => 18990090
[patent_doc_number] => 20240062059
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-02-22
[patent_title] => NEURAL NETWORK LAYER OPTIMIZATION
[patent_app_type] => utility
[patent_app_number] => 18/191700
[patent_app_country] => US
[patent_app_date] => 2023-03-28
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 7957
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 82
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18191700
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/191700 | NEURAL NETWORK LAYER OPTIMIZATION | Mar 27, 2023 | Pending |
Array
(
[id] => 18471790
[patent_doc_number] => 20230206076
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-06-29
[patent_title] => GRAPH STRUCTURE AWARE INCREMENTAL LEARNING FOR RECOMMENDER SYSTEM
[patent_app_type] => utility
[patent_app_number] => 18/111066
[patent_app_country] => US
[patent_app_date] => 2023-02-17
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 9764
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 169
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18111066
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/111066 | GRAPH STRUCTURE AWARE INCREMENTAL LEARNING FOR RECOMMENDER SYSTEM | Feb 16, 2023 | Pending |
Array
(
[id] => 18957746
[patent_doc_number] => 20240046073
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-02-08
[patent_title] => DATA DRIVEN APPROACHES TO IMPROVE UNDERSTANDING OF PROCESS-BASED MODELS AND DECISION MAKING
[patent_app_type] => utility
[patent_app_number] => 18/163156
[patent_app_country] => US
[patent_app_date] => 2023-02-01
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 9365
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 81
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18163156
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/163156 | DATA DRIVEN APPROACHES TO IMPROVE UNDERSTANDING OF PROCESS-BASED MODELS AND DECISION MAKING | Jan 31, 2023 | Pending |
Array
(
[id] => 18678438
[patent_doc_number] => 20230316086
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-10-05
[patent_title] => MACHINE LEARNING MODEL UPDATE BASED ON DATASET OR FEATURE UNLEARNING
[patent_app_type] => utility
[patent_app_number] => 18/159902
[patent_app_country] => US
[patent_app_date] => 2023-01-26
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 16008
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 126
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18159902
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/159902 | MACHINE LEARNING MODEL UPDATE BASED ON DATASET OR FEATURE UNLEARNING | Jan 25, 2023 | Pending |
Array
(
[id] => 18378526
[patent_doc_number] => 20230153614
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-05-18
[patent_title] => ARCHITECTURES, SYSTEMS AND METHODS FOR PROGRAM DEFINED SYSTEM
[patent_app_type] => utility
[patent_app_number] => 18/099289
[patent_app_country] => US
[patent_app_date] => 2023-01-20
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 23481
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 34
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18099289
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/099289 | ARCHITECTURES, SYSTEMS AND METHODS FOR PROGRAM DEFINED SYSTEM | Jan 19, 2023 | Abandoned |
Array
(
[id] => 18454921
[patent_doc_number] => 20230196202
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-06-22
[patent_title] => SYSTEM AND METHOD FOR AUTOMATIC BUILDING OF LEARNING MACHINES USING LEARNING MACHINES
[patent_app_type] => utility
[patent_app_number] => 18/082522
[patent_app_country] => US
[patent_app_date] => 2022-12-15
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 14589
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 70
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18082522
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/082522 | SYSTEM AND METHOD FOR AUTOMATIC BUILDING OF LEARNING MACHINES USING LEARNING MACHINES | Dec 14, 2022 | Pending |
Array
(
[id] => 19190345
[patent_doc_number] => 20240169258
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-05-23
[patent_title] => TIME-SERIES ANOMALY DETECTION
[patent_app_type] => utility
[patent_app_number] => 18/057883
[patent_app_country] => US
[patent_app_date] => 2022-11-22
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 8718
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 110
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18057883
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/057883 | TIME-SERIES ANOMALY DETECTION | Nov 21, 2022 | Pending |
Array
(
[id] => 18244343
[patent_doc_number] => 20230076654
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-03-09
[patent_title] => SYNAPSE MEMORY
[patent_app_type] => utility
[patent_app_number] => 17/988089
[patent_app_country] => US
[patent_app_date] => 2022-11-16
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 7002
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -15
[patent_words_short_claim] => 149
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17988089
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/988089 | Synapse memory | Nov 15, 2022 | Issued |
Array
(
[id] => 18703760
[patent_doc_number] => 11790274
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2023-10-17
[patent_title] => Training neural networks to generate structured embeddings
[patent_app_type] => utility
[patent_app_number] => 18/049995
[patent_app_country] => US
[patent_app_date] => 2022-10-26
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 5
[patent_figures_cnt] => 6
[patent_no_of_words] => 7255
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 2
[patent_words_short_claim] => 274
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18049995
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/049995 | Training neural networks to generate structured embeddings | Oct 25, 2022 | Issued |
Array
(
[id] => 19053545
[patent_doc_number] => 20240095514
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-03-21
[patent_title] => FRIEND-TRAINING: METHODS, SYSTEMS, AND APPARATUS FOR LEARNING FROM MODELS OF DIFFERENT BUT RELATED TASKS
[patent_app_type] => utility
[patent_app_number] => 17/941417
[patent_app_country] => US
[patent_app_date] => 2022-09-09
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 6441
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 144
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17941417
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/941417 | FRIEND-TRAINING: METHODS, SYSTEMS, AND APPARATUS FOR LEARNING FROM MODELS OF DIFFERENT BUT RELATED TASKS | Sep 8, 2022 | Pending |
Array
(
[id] => 18925927
[patent_doc_number] => 20240028931
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-01-25
[patent_title] => Directed Acyclic Graph of Recommendation Dimensions
[patent_app_type] => utility
[patent_app_number] => 17/867751
[patent_app_country] => US
[patent_app_date] => 2022-07-19
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 11891
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 183
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17867751
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/867751 | Directed Acyclic Graph of Recommendation Dimensions | Jul 18, 2022 | Pending |
Array
(
[id] => 18864682
[patent_doc_number] => 20230419119
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-12-28
[patent_title] => GENERATING TRAINING DATA USING SAMPLED VALUES
[patent_app_type] => utility
[patent_app_number] => 17/849506
[patent_app_country] => US
[patent_app_date] => 2022-06-24
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 9898
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 233
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17849506
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/849506 | GENERATING TRAINING DATA USING SAMPLED VALUES | Jun 23, 2022 | Pending |
Array
(
[id] => 18864640
[patent_doc_number] => 20230419077
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-12-28
[patent_title] => REVERSE REINFORCEMENT LEARNING TO TRAIN TRAINING DATA FOR NATURAL LANGUAGE PROCESSING NEURAL NETWORK
[patent_app_type] => utility
[patent_app_number] => 17/808511
[patent_app_country] => US
[patent_app_date] => 2022-06-23
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 8071
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 140
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17808511
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/808511 | REVERSE REINFORCEMENT LEARNING TO TRAIN TRAINING DATA FOR NATURAL LANGUAGE PROCESSING NEURAL NETWORK | Jun 22, 2022 | Pending |