
Alejandro Rivero
Examiner (ID: 15786, Phone: (571)270-3641 , Office: P/2647 )
| Most Active Art Unit | 2647 |
| Art Unit(s) | 2648, 2618, 2684, 2647, 6216, OPQA |
| Total Applications | 312 |
| Issued Applications | 213 |
| Pending Applications | 3 |
| Abandoned Applications | 97 |
Applications
| Application number | Title of the application | Filing Date | Status |
|---|---|---|---|
Array
(
[id] => 17430767
[patent_doc_number] => 20220058476
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-02-24
[patent_title] => METHODS AND APPARATUS FOR DYNAMIC SHADER SELECTION FOR MACHINE LEARNING
[patent_app_type] => utility
[patent_app_number] => 16/997834
[patent_app_country] => US
[patent_app_date] => 2020-08-19
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 8978
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -19
[patent_words_short_claim] => 72
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16997834
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/997834 | METHODS AND APPARATUS FOR DYNAMIC SHADER SELECTION FOR MACHINE LEARNING | Aug 18, 2020 | Abandoned |
Array
(
[id] => 17388327
[patent_doc_number] => 20220036179
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-02-03
[patent_title] => ONLINE TASK INFERENCE FOR COMPOSITIONAL TASKS WITH CONTEXT ADAPTATION
[patent_app_type] => utility
[patent_app_number] => 16/945753
[patent_app_country] => US
[patent_app_date] => 2020-07-31
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 13676
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -19
[patent_words_short_claim] => 114
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16945753
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/945753 | ONLINE TASK INFERENCE FOR COMPOSITIONAL TASKS WITH CONTEXT ADAPTATION | Jul 30, 2020 | Pending |
Array
(
[id] => 16600612
[patent_doc_number] => 20210027143
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-01-28
[patent_title] => Method To Decide A Labeling Priority To A Data
[patent_app_type] => utility
[patent_app_number] => 16/936180
[patent_app_country] => US
[patent_app_date] => 2020-07-22
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 11186
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -10
[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] => 16936180
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/936180 | Method To Decide A Labeling Priority To A Data | Jul 21, 2020 | Pending |
Array
(
[id] => 19917903
[patent_doc_number] => 12293273
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2025-05-06
[patent_title] => Weighted deep fusion architecture
[patent_app_type] => utility
[patent_app_number] => 16/928094
[patent_app_country] => US
[patent_app_date] => 2020-07-14
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 5
[patent_figures_cnt] => 5
[patent_no_of_words] => 5793
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 226
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16928094
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/928094 | Weighted deep fusion architecture | Jul 13, 2020 | Issued |
Array
(
[id] => 17261597
[patent_doc_number] => 20210374582
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-12-02
[patent_title] => Enhanced Techniques For Bias Analysis
[patent_app_type] => utility
[patent_app_number] => 16/914099
[patent_app_country] => US
[patent_app_date] => 2020-06-26
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 10780
[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] => 16914099
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/914099 | Enhanced Techniques For Bias Analysis | Jun 25, 2020 | Issued |
Array
(
[id] => 16543870
[patent_doc_number] => 20200410285
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-12-31
[patent_title] => Anomaly Augmented Generative Adversarial Network
[patent_app_type] => utility
[patent_app_number] => 16/912555
[patent_app_country] => US
[patent_app_date] => 2020-06-25
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 6842
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -12
[patent_words_short_claim] => 83
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16912555
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/912555 | Anomaly augmented generative adversarial network | Jun 24, 2020 | Issued |
Array
(
[id] => 17187758
[patent_doc_number] => 20210334643
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-10-28
[patent_title] => PROCESSING UNIT FOR PERFORMING OPERATIONS OF A NEURAL NETWORK
[patent_app_type] => utility
[patent_app_number] => 16/859062
[patent_app_country] => US
[patent_app_date] => 2020-04-27
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 4587
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -5
[patent_words_short_claim] => 95
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16859062
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/859062 | Processing unit for performing operations of a neural network | Apr 26, 2020 | Issued |
Array
(
[id] => 16455132
[patent_doc_number] => 20200364558
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-11-19
[patent_title] => ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF
[patent_app_type] => utility
[patent_app_number] => 16/843365
[patent_app_country] => US
[patent_app_date] => 2020-04-08
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 8584
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -16
[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] => 16843365
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/843365 | Electronic apparatus and controlling method thereof | Apr 7, 2020 | Issued |
Array
(
[id] => 17099275
[patent_doc_number] => 20210287066
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-09-16
[patent_title] => PARTIAL NEURAL NETWORK WEIGHT ADAPTATION FOR UNSTABLE INPUT DISTORTIONS
[patent_app_type] => utility
[patent_app_number] => 16/817251
[patent_app_country] => US
[patent_app_date] => 2020-03-12
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 7303
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -12
[patent_words_short_claim] => 134
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16817251
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/817251 | PARTIAL NEURAL NETWORK WEIGHT ADAPTATION FOR UNSTABLE INPUT DISTORTIONS | Mar 11, 2020 | Pending |
Array
(
[id] => 20304517
[patent_doc_number] => 12450510
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2025-10-21
[patent_title] => Increasing representation accuracy of quantum simulations without additional quantum resources
[patent_app_type] => utility
[patent_app_number] => 17/428189
[patent_app_country] => US
[patent_app_date] => 2020-02-14
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 4
[patent_figures_cnt] => 4
[patent_no_of_words] => 2950
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 277
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17428189
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/428189 | Increasing representation accuracy of quantum simulations without additional quantum resources | Feb 13, 2020 | Issued |
Array
(
[id] => 17009931
[patent_doc_number] => 20210241092
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-08-05
[patent_title] => KNOWLEDGE PERSISTENT AND STRUCTURALLY DYNAMIC NEURAL NETWORK
[patent_app_type] => utility
[patent_app_number] => 16/781656
[patent_app_country] => US
[patent_app_date] => 2020-02-04
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 13192
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 258
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16781656
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/781656 | Knowledge persistent and structurally dynamic neural network | Feb 3, 2020 | Issued |
Array
(
[id] => 16935265
[patent_doc_number] => 20210201154
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-07-01
[patent_title] => ADVERSARIAL NETWORK SYSTEMS AND METHODS
[patent_app_type] => utility
[patent_app_number] => 16/730884
[patent_app_country] => US
[patent_app_date] => 2019-12-30
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 7730
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -19
[patent_words_short_claim] => 114
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16730884
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/730884 | ADVERSARIAL NETWORK SYSTEMS AND METHODS | Dec 29, 2019 | Abandoned |
Array
(
[id] => 17338555
[patent_doc_number] => 20220004886
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-01-06
[patent_title] => METHODS FOR CONTROLLING AND UPDATING A PROCESSING SCHEME OF AN ELECTRONIC DEVICE, RELATED SERVER DEVICES AND RELATED ELECTRONIC DEVICES
[patent_app_type] => utility
[patent_app_number] => 17/278308
[patent_app_country] => US
[patent_app_date] => 2019-12-18
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 8346
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -15
[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] => 17278308
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/278308 | METHODS FOR CONTROLLING AND UPDATING A PROCESSING SCHEME OF AN ELECTRONIC DEVICE, RELATED SERVER DEVICES AND RELATED ELECTRONIC DEVICES | Dec 17, 2019 | Abandoned |
Array
(
[id] => 20110549
[patent_doc_number] => 12361273
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2025-07-15
[patent_title] => Neural network computation device, neural Network computation method and related products
[patent_app_type] => utility
[patent_app_number] => 16/714643
[patent_app_country] => US
[patent_app_date] => 2019-12-13
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 10
[patent_figures_cnt] => 10
[patent_no_of_words] => 6956
[patent_no_of_claims] => 11
[patent_no_of_ind_claims] => 2
[patent_words_short_claim] => 472
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16714643
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/714643 | Neural network computation device, neural Network computation method and related products | Dec 12, 2019 | Issued |
Array
(
[id] => 18578015
[patent_doc_number] => 11734548
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2023-08-22
[patent_title] => Integrated circuit chip device and related product
[patent_app_type] => utility
[patent_app_number] => 16/698108
[patent_app_country] => US
[patent_app_date] => 2019-11-27
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 18
[patent_figures_cnt] => 33
[patent_no_of_words] => 31528
[patent_no_of_claims] => 18
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 464
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16698108
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/698108 | Integrated circuit chip device and related product | Nov 26, 2019 | Issued |
Array
(
[id] => 15998965
[patent_doc_number] => 20200175353
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-06-04
[patent_title] => METHOD FOR NEURAL-NETWORK-LIGHTENING USING REPETITION-REDUCTION BLOCK AND APPARATUS FOR THE SAME
[patent_app_type] => utility
[patent_app_number] => 16/698711
[patent_app_country] => US
[patent_app_date] => 2019-11-27
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 9044
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 58
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16698711
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/698711 | Method for neural-network-lightening using repetition-reduction block and apparatus for the same | Nov 26, 2019 | Issued |
Array
(
[id] => 16508539
[patent_doc_number] => 20200387795
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-12-10
[patent_title] => SUPER NETWORK TRAINING METHOD AND DEVICE
[patent_app_type] => utility
[patent_app_number] => 16/694552
[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] => 4002
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -14
[patent_words_short_claim] => 54
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16694552
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/694552 | SUPER NETWORK TRAINING METHOD AND DEVICE | Nov 24, 2019 | Abandoned |
Array
(
[id] => 18343053
[patent_doc_number] => 11640534
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2023-05-02
[patent_title] => Threshold triggered back propagation of an artificial neural network
[patent_app_type] => utility
[patent_app_number] => 16/684854
[patent_app_country] => US
[patent_app_date] => 2019-11-15
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 4
[patent_figures_cnt] => 6
[patent_no_of_words] => 3656
[patent_no_of_claims] => 18
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 118
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16684854
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/684854 | Threshold triggered back propagation of an artificial neural network | Nov 14, 2019 | Issued |
Array
(
[id] => 16826884
[patent_doc_number] => 20210142177
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2021-05-13
[patent_title] => SYNTHESIZING DATA FOR TRAINING ONE OR MORE NEURAL NETWORKS
[patent_app_type] => utility
[patent_app_number] => 16/682967
[patent_app_country] => US
[patent_app_date] => 2019-11-13
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 60348
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -30
[patent_words_short_claim] => 37
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16682967
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/682967 | SYNTHESIZING DATA FOR TRAINING ONE OR MORE NEURAL NETWORKS | Nov 12, 2019 | Pending |
Array
(
[id] => 19971665
[patent_doc_number] => 12340280
[patent_country] => US
[patent_kind] => B1
[patent_issue_date] => 2025-06-24
[patent_title] => Systems and methods for reducing false positive error rates using imbalanced data models
[patent_app_type] => utility
[patent_app_number] => 16/678412
[patent_app_country] => US
[patent_app_date] => 2019-11-08
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 12
[patent_figures_cnt] => 12
[patent_no_of_words] => 0
[patent_no_of_claims] => 24
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 573
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16678412
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/678412 | Systems and methods for reducing false positive error rates using imbalanced data models | Nov 7, 2019 | Issued |