Search

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 numberTitle of the applicationFiling DateStatus
Array ( [id] => 18255860 [patent_doc_number] => 20230082899 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-03-16 [patent_title] => DEVICES, SYSTEMS, METHODS, AND MEDIA FOR DOMAIN ADAPTATION USING HYBRID LEARNING [patent_app_type] => utility [patent_app_number] => 17/475003 [patent_app_country] => US [patent_app_date] => 2021-09-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14318 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 295 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17475003 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/475003
Devices, systems, methods, and media for domain adaptation using hybrid learning Sep 13, 2021 Issued
Array ( [id] => 17629674 [patent_doc_number] => 20220164689 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-26 [patent_title] => TODDLER-INSPIRED BAYESIAN LEARNING METHOD AND COMPUTING APPARATUS FOR PERFORMING THE SAME [patent_app_type] => utility [patent_app_number] => 17/467971 [patent_app_country] => US [patent_app_date] => 2021-09-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4236 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [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] => 17467971 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/467971
Toddler-inspired Bayesian learning method and computing apparatus for performing the same Sep 6, 2021 Issued
Array ( [id] => 18139634 [patent_doc_number] => 20230013470 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-01-19 [patent_title] => AUTONOMIC DETECTION AND CORRECTION OF ARTIFICIAL INTELLIGENCE MODEL DRIFT [patent_app_type] => utility [patent_app_number] => 17/378844 [patent_app_country] => US [patent_app_date] => 2021-07-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7341 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [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] => 17378844 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/378844
AUTONOMIC DETECTION AND CORRECTION OF ARTIFICIAL INTELLIGENCE MODEL DRIFT Jul 18, 2021 Pending
Array ( [id] => 17202652 [patent_doc_number] => 20210342747 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-04 [patent_title] => METHOD AND SYSTEM FOR DISTRIBUTED DEEP MACHINE LEARNING [patent_app_type] => utility [patent_app_number] => 17/376962 [patent_app_country] => US [patent_app_date] => 2021-07-15 [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] => 278 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17376962 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/376962
Method and system for distributed deep machine learning Jul 14, 2021 Issued
Array ( [id] => 18147481 [patent_doc_number] => 20230021338 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-01-26 [patent_title] => CONDITIONALLY INDEPENDENT DATA GENERATION FOR TRAINING MACHINE LEARNING SYSTEMS [patent_app_type] => utility [patent_app_number] => 17/368925 [patent_app_country] => US [patent_app_date] => 2021-07-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11317 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 250 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17368925 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/368925
CONDITIONALLY INDEPENDENT DATA GENERATION FOR TRAINING MACHINE LEARNING SYSTEMS Jul 6, 2021 Pending
Array ( [id] => 20482140 [patent_doc_number] => 12530615 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-01-20 [patent_title] => Intelligent oversight of multi-party engagements [patent_app_type] => utility [patent_app_number] => 17/352899 [patent_app_country] => US [patent_app_date] => 2021-06-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 6 [patent_no_of_words] => 6027 [patent_no_of_claims] => 23 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 228 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17352899 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/352899
Intelligent oversight of multi-party engagements Jun 20, 2021 Issued
Array ( [id] => 18067404 [patent_doc_number] => 20220398492 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-12-15 [patent_title] => METHOD OF TIME SERIES PREDICTION AND SYSTEM THEREOF [patent_app_type] => utility [patent_app_number] => 17/347960 [patent_app_country] => US [patent_app_date] => 2021-06-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11284 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -25 [patent_words_short_claim] => 230 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17347960 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/347960
METHOD OF TIME SERIES PREDICTION AND SYSTEM THEREOF Jun 14, 2021 Abandoned
Array ( [id] => 17294569 [patent_doc_number] => 20210390408 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-16 [patent_title] => Consensus Driven Learning [patent_app_type] => utility [patent_app_number] => 17/347150 [patent_app_country] => US [patent_app_date] => 2021-06-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4574 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 120 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17347150 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/347150
Consensus driven learning Jun 13, 2021 Issued
Array ( [id] => 17985031 [patent_doc_number] => 20220351068 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-11-03 [patent_title] => MODEL BIAS DETECTION [patent_app_type] => utility [patent_app_number] => 17/245122 [patent_app_country] => US [patent_app_date] => 2021-04-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9552 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 129 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17245122 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/245122
Machine learning model bias detection Apr 29, 2021 Issued
Array ( [id] => 18990138 [patent_doc_number] => 20240062107 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-02-22 [patent_title] => TRAINING OF A MACHINE LEARNING MODEL [patent_app_type] => utility [patent_app_number] => 18/269734 [patent_app_country] => US [patent_app_date] => 2020-12-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8122 [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] => 18269734 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/269734
TRAINING OF A MACHINE LEARNING MODEL Dec 27, 2020 Pending
Array ( [id] => 19963880 [patent_doc_number] => 12333389 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-06-17 [patent_title] => Autonomous vehicle system for intelligent on-board selection of data for training a remote machine learning model [patent_app_type] => utility [patent_app_number] => 17/124413 [patent_app_country] => US [patent_app_date] => 2020-12-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 5081 [patent_no_of_claims] => 22 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 423 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17124413 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/124413
Autonomous vehicle system for intelligent on-board selection of data for training a remote machine learning model Dec 15, 2020 Issued
Array ( [id] => 17659786 [patent_doc_number] => 20220180251 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-09 [patent_title] => SIDELINK-ASSISTED UPDATE AGGREGATION IN FEDERATED LEARNING [patent_app_type] => utility [patent_app_number] => 17/111470 [patent_app_country] => US [patent_app_date] => 2020-12-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 19341 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 56 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17111470 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/111470
SIDELINK-ASSISTED UPDATE AGGREGATION IN FEDERATED LEARNING Dec 2, 2020 Pending
Array ( [id] => 19183057 [patent_doc_number] => 11989649 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-05-21 [patent_title] => Pairwise ranking using neural networks [patent_app_type] => utility [patent_app_number] => 16/951362 [patent_app_country] => US [patent_app_date] => 2020-11-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 7725 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 386 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16951362 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/951362
Pairwise ranking using neural networks Nov 17, 2020 Issued
Array ( [id] => 17598237 [patent_doc_number] => 20220147811 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-12 [patent_title] => IMPLEMENT THE COMPUTATION OF AN ARTIFICIAL NEURAL NETWORK USING MULTIPLE DEEP LEARNING ACCELERATORS [patent_app_type] => utility [patent_app_number] => 17/092038 [patent_app_country] => US [patent_app_date] => 2020-11-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12438 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 94 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17092038 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/092038
IMPLEMENT THE COMPUTATION OF AN ARTIFICIAL NEURAL NETWORK USING MULTIPLE DEEP LEARNING ACCELERATORS Nov 5, 2020 Pending
Array ( [id] => 16577797 [patent_doc_number] => 20210012198 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-14 [patent_title] => METHOD FOR TRAINING DEEP NEURAL NETWORK AND APPARATUS [patent_app_type] => utility [patent_app_number] => 17/033316 [patent_app_country] => US [patent_app_date] => 2020-09-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16347 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 217 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17033316 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/033316
METHOD FOR TRAINING DEEP NEURAL NETWORK AND APPARATUS Sep 24, 2020 Abandoned
Array ( [id] => 17484923 [patent_doc_number] => 20220092427 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-24 [patent_title] => INTEGRATED GRAPH NEURAL NETWORK FOR SUPERVISED NON-OBVIOUS RELATIONSHIP DETECTION [patent_app_type] => utility [patent_app_number] => 17/027602 [patent_app_country] => US [patent_app_date] => 2020-09-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10263 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 189 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17027602 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/027602
INTEGRATED GRAPH NEURAL NETWORK FOR SUPERVISED NON-OBVIOUS RELATIONSHIP DETECTION Sep 20, 2020 Pending
Array ( [id] => 16691153 [patent_doc_number] => 20210073631 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-11 [patent_title] => DUAL NEURAL NETWORK ARCHITECTURE FOR DETERMINING EPISTEMIC AND ALEATORIC UNCERTAINTIES [patent_app_type] => utility [patent_app_number] => 16/948183 [patent_app_country] => US [patent_app_date] => 2020-09-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7007 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 73 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16948183 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/948183
Dual neural network architecture for determining epistemic and aleatoric uncertainties Sep 7, 2020 Issued
Array ( [id] => 16751808 [patent_doc_number] => 20210103819 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-08 [patent_title] => ARTIFICIAL NEURAL NETWORK COMPUTING SYSTEMS [patent_app_type] => utility [patent_app_number] => 17/012664 [patent_app_country] => US [patent_app_date] => 2020-09-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6023 [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] => 17012664 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/012664
Artificial neural network computing systems Sep 3, 2020 Issued
Array ( [id] => 16508564 [patent_doc_number] => 20200387820 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-10 [patent_title] => UNIFIED NONLINEAR MODELING APPROACH FOR MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE (ATTRACTOR ASSISTED AI) [patent_app_type] => utility [patent_app_number] => 16/999605 [patent_app_country] => US [patent_app_date] => 2020-08-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13639 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [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] => 16999605 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/999605
Unified nonlinear modeling approach for machine learning and artificial intelligence (attractor assisted AI) Aug 20, 2020 Issued
Array ( [id] => 16676244 [patent_doc_number] => 20210065010 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-04 [patent_title] => COMPRESSING A DEEP NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/998571 [patent_app_country] => US [patent_app_date] => 2020-08-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5445 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -6 [patent_words_short_claim] => 96 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16998571 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/998571
Compressing a deep neural network Aug 19, 2020 Issued
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