
Alan S. Chen
Examiner (ID: 7806, Phone: (571)272-4143 , Office: P/2124 )
| Most Active Art Unit | 2182 |
| Art Unit(s) | 2182, 2125, 2124, 2129 |
| Total Applications | 1721 |
| Issued Applications | 1484 |
| Pending Applications | 92 |
| Abandoned Applications | 174 |
Applications
| Application number | Title of the application | Filing Date | Status |
|---|---|---|---|
Array
(
[id] => 14412189
[patent_doc_number] => 20190171938
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2019-06-06
[patent_title] => NEURAL NETWORK APPLICATIONS IN RESOURCE CONSTRAINED ENVIRONMENTS
[patent_app_type] => utility
[patent_app_number] => 16/267317
[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] => 51153
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 320
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16267317
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/267317 | Neural network applications in resource constrained environments | Feb 3, 2019 | Issued |
Array
(
[id] => 18235227
[patent_doc_number] => 11599786
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2023-03-07
[patent_title] => Neural network applications in resource constrained environments
[patent_app_type] => utility
[patent_app_number] => 16/267285
[patent_app_country] => US
[patent_app_date] => 2019-02-04
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 33
[patent_figures_cnt] => 36
[patent_no_of_words] => 33990
[patent_no_of_claims] => 16
[patent_no_of_ind_claims] => 1
[patent_words_short_claim] => 358
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16267285
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/267285 | Neural network applications in resource constrained environments | Feb 3, 2019 | Issued |
Array
(
[id] => 18638547
[patent_doc_number] => 11763154
[patent_country] => US
[patent_kind] => B1
[patent_issue_date] => 2023-09-19
[patent_title] => Machine learning services with pre-trained models
[patent_app_type] => utility
[patent_app_number] => 16/262677
[patent_app_country] => US
[patent_app_date] => 2019-01-30
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 5
[patent_figures_cnt] => 5
[patent_no_of_words] => 7304
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 162
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16262677
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/262677 | Machine learning services with pre-trained models | Jan 29, 2019 | Issued |
Array
(
[id] => 14720759
[patent_doc_number] => 20190251443
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2019-08-15
[patent_title] => AUTOMATICALLY SCALING NEURAL NETWORKS BASED ON LOAD
[patent_app_type] => utility
[patent_app_number] => 16/260370
[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] => 3934
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -14
[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] => 16260370
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/260370 | Automatically scaling neural networks based on load | Jan 28, 2019 | Issued |
Array
(
[id] => 14349955
[patent_doc_number] => 20190156950
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2019-05-23
[patent_title] => Systems and Methods for Predicting Metabolic and Bariatric Surgery Outcomes
[patent_app_type] => utility
[patent_app_number] => 16/259534
[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] => 26967
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 179
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16259534
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/259534 | Systems and methods for predicting metabolic and bariatric surgery outcomes | Jan 27, 2019 | Issued |
Array
(
[id] => 15871735
[patent_doc_number] => 20200143271
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-05-07
[patent_title] => SECURE EXPEDITIONARY AI SENSE-UNDERSTAND-DECIDE-ACT SYSTEM AND METHOD
[patent_app_type] => utility
[patent_app_number] => 16/251410
[patent_app_country] => US
[patent_app_date] => 2019-01-18
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 26700
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 119
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16251410
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/251410 | Secure expeditionary AI sense-understand-decide-act system and method | Jan 17, 2019 | Issued |
Array
(
[id] => 17758756
[patent_doc_number] => 11399060
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2022-07-26
[patent_title] => System and method for continuous AI management and learning
[patent_app_type] => utility
[patent_app_number] => 16/251189
[patent_app_country] => US
[patent_app_date] => 2019-01-18
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 15
[patent_figures_cnt] => 15
[patent_no_of_words] => 26700
[patent_no_of_claims] => 21
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 146
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16251189
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/251189 | System and method for continuous AI management and learning | Jan 17, 2019 | Issued |
Array
(
[id] => 19212855
[patent_doc_number] => 12001918
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-06-04
[patent_title] => Classification using quantum neural networks
[patent_app_type] => utility
[patent_app_number] => 16/962348
[patent_app_country] => US
[patent_app_date] => 2019-01-16
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 5
[patent_figures_cnt] => 6
[patent_no_of_words] => 9302
[patent_no_of_claims] => 17
[patent_no_of_ind_claims] => 4
[patent_words_short_claim] => 135
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16962348
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/962348 | Classification using quantum neural networks | Jan 15, 2019 | Issued |
Array
(
[id] => 16117653
[patent_doc_number] => 20200210849
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-07-02
[patent_title] => TRANSACTION ANOMALY DETECTION USING ARTIFICIAL INTELLIGENCE TECHNIQUES
[patent_app_type] => utility
[patent_app_number] => 16/237114
[patent_app_country] => US
[patent_app_date] => 2018-12-31
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 6552
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 91
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16237114
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/237114 | Transaction anomaly detection using artificial intelligence techniques | Dec 30, 2018 | Issued |
Array
(
[id] => 14283301
[patent_doc_number] => 20190138935
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2019-05-09
[patent_title] => CLASSIFICATION OF MEMBERS IN A SOCIAL NETWORKING SERVICE
[patent_app_type] => utility
[patent_app_number] => 16/237306
[patent_app_country] => US
[patent_app_date] => 2018-12-31
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 4801
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 121
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16237306
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/237306 | Classification of members in a social networking service | Dec 30, 2018 | Issued |
Array
(
[id] => 17802871
[patent_doc_number] => 11417179
[patent_country] => US
[patent_kind] => B1
[patent_issue_date] => 2022-08-16
[patent_title] => Using image and voice tracking to contextually respond to a user in a shopping environment
[patent_app_type] => utility
[patent_app_number] => 16/236344
[patent_app_country] => US
[patent_app_date] => 2018-12-29
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 76
[patent_figures_cnt] => 128
[patent_no_of_words] => 90740
[patent_no_of_claims] => 11
[patent_no_of_ind_claims] => 2
[patent_words_short_claim] => 188
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16236344
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/236344 | Using image and voice tracking to contextually respond to a user in a shopping environment | Dec 28, 2018 | Issued |
Array
(
[id] => 16879596
[patent_doc_number] => 11029741
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2021-06-08
[patent_title] => Deactivating a display of a smart display device based on a vision-based mechanism
[patent_app_type] => utility
[patent_app_number] => 16/235370
[patent_app_country] => US
[patent_app_date] => 2018-12-28
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 6
[patent_figures_cnt] => 6
[patent_no_of_words] => 5934
[patent_no_of_claims] => 17
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 190
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16235370
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/235370 | Deactivating a display of a smart display device based on a vision-based mechanism | Dec 27, 2018 | Issued |
Array
(
[id] => 14236237
[patent_doc_number] => 20190130291
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2019-05-02
[patent_title] => DYNAMIC RECONFIGURATION WITH PARTIALLY RESIDENT AGENTS
[patent_app_type] => utility
[patent_app_number] => 16/228882
[patent_app_country] => US
[patent_app_date] => 2018-12-21
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 15664
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -23
[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] => 16228882
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/228882 | DYNAMIC RECONFIGURATION WITH PARTIALLY RESIDENT AGENTS | Dec 20, 2018 | Abandoned |
Array
(
[id] => 17667524
[patent_doc_number] => 11361225
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2022-06-14
[patent_title] => Neural network architecture for attention based efficient model adaptation
[patent_app_type] => utility
[patent_app_number] => 16/224361
[patent_app_country] => US
[patent_app_date] => 2018-12-18
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 8
[patent_figures_cnt] => 11
[patent_no_of_words] => 13455
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 167
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16224361
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/224361 | Neural network architecture for attention based efficient model adaptation | Dec 17, 2018 | Issued |
Array
(
[id] => 17558676
[patent_doc_number] => 11315393
[patent_country] => US
[patent_kind] => B1
[patent_issue_date] => 2022-04-26
[patent_title] => Scenario characterization using machine learning user tracking and profiling for a cashier-less retail store
[patent_app_type] => utility
[patent_app_number] => 16/221541
[patent_app_country] => US
[patent_app_date] => 2018-12-16
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 76
[patent_figures_cnt] => 128
[patent_no_of_words] => 90757
[patent_no_of_claims] => 19
[patent_no_of_ind_claims] => 1
[patent_words_short_claim] => 219
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16221541
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/221541 | Scenario characterization using machine learning user tracking and profiling for a cashier-less retail store | Dec 15, 2018 | Issued |
Array
(
[id] => 16078671
[patent_doc_number] => 20200193322
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-06-18
[patent_title] => SMART COPY OPTIMIZATION
[patent_app_type] => utility
[patent_app_number] => 16/220518
[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] => 10226
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -15
[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] => 16220518
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/220518 | Smart copy optimization in customer acquisition and customer management platforms | Dec 13, 2018 | Issued |
Array
(
[id] => 14219455
[patent_doc_number] => 20190122112
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2019-04-25
[patent_title] => SYSTEM AND METHOD FOR TEACHING COMPOSITIONALITY TO CONVOLUTIONAL NEURAL NETWORKS
[patent_app_type] => utility
[patent_app_number] => 16/221104
[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] => 3598
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 190
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16221104
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/221104 | System and method for teaching compositionality to convolutional neural networks | Dec 13, 2018 | Issued |
Array
(
[id] => 16078623
[patent_doc_number] => 20200193298
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-06-18
[patent_title] => ACCURATELY IDENTIFYING MEMBERS OF TRAINING DATA IN VARIATIONAL AUTOENCODERS BY RECONSTRUCTION ERROR
[patent_app_type] => utility
[patent_app_number] => 16/219645
[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] => 5393
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[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] => 16219645
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/219645 | Accurately identifying members of training data in variational autoencoders by reconstruction error | Dec 12, 2018 | Issued |
Array
(
[id] => 17651854
[patent_doc_number] => 11354584
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2022-06-07
[patent_title] => Systems and methods for trend aware self-correcting entity relationship extraction
[patent_app_type] => utility
[patent_app_number] => 16/219621
[patent_app_country] => US
[patent_app_date] => 2018-12-13
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 18
[patent_figures_cnt] => 18
[patent_no_of_words] => 7744
[patent_no_of_claims] => 19
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 79
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16219621
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/219621 | Systems and methods for trend aware self-correcting entity relationship extraction | Dec 12, 2018 | Issued |
Array
(
[id] => 17309462
[patent_doc_number] => 11210578
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2021-12-28
[patent_title] => Automatic determination of cognitive models for deployment at computerized devices having various hardware constraints
[patent_app_type] => utility
[patent_app_number] => 16/217760
[patent_app_country] => US
[patent_app_date] => 2018-12-12
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 5
[patent_figures_cnt] => 6
[patent_no_of_words] => 9565
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 197
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16217760
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/217760 | Automatic determination of cognitive models for deployment at computerized devices having various hardware constraints | Dec 11, 2018 | Issued |