
Pegeman Karimi
Examiner (ID: 5467, Phone: (571)270-1712 , Office: P/2691 )
| Most Active Art Unit | 2691 |
| Art Unit(s) | 2621, 2618, 2691, 2623, 2629 |
| Total Applications | 1187 |
| Issued Applications | 983 |
| Pending Applications | 51 |
| Abandoned Applications | 172 |
Applications
| Application number | Title of the application | Filing Date | Status |
|---|---|---|---|
Array
(
[id] => 18925924
[patent_doc_number] => 20240028928
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-01-25
[patent_title] => HIERARCHICAL TOURNAMENT-BASED MACHINE LEARNING PREDICTIONS
[patent_app_type] => utility
[patent_app_number] => 18/336531
[patent_app_country] => US
[patent_app_date] => 2023-06-16
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 5377
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[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] => 18336531
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/336531 | Hierarchical tournament-based machine learning predictions | Jun 15, 2023 | Issued |
Array
(
[id] => 19765136
[patent_doc_number] => 12223427
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2025-02-11
[patent_title] => Real time context dependent deep learning
[patent_app_type] => utility
[patent_app_number] => 18/325744
[patent_app_country] => US
[patent_app_date] => 2023-05-30
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 37
[patent_figures_cnt] => 41
[patent_no_of_words] => 29152
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 4
[patent_words_short_claim] => 110
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18325744
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/325744 | Real time context dependent deep learning | May 29, 2023 | Issued |
Array
(
[id] => 18614779
[patent_doc_number] => 20230281516
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-09-07
[patent_title] => Intelligent Data Partitioning for Distributed Machine Learning Systems
[patent_app_type] => utility
[patent_app_number] => 18/316147
[patent_app_country] => US
[patent_app_date] => 2023-05-11
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 5876
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 146
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18316147
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/316147 | Intelligent Data Partitioning for Distributed Machine Learning Systems | May 10, 2023 | Pending |
Array
(
[id] => 19625442
[patent_doc_number] => 12164271
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-12-10
[patent_title] => Empirical modeling with globally enforced general constraints
[patent_app_type] => utility
[patent_app_number] => 18/312797
[patent_app_country] => US
[patent_app_date] => 2023-05-05
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 7
[patent_figures_cnt] => 8
[patent_no_of_words] => 11035
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 134
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18312797
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/312797 | Empirical modeling with globally enforced general constraints | May 4, 2023 | Issued |
Array
(
[id] => 18599524
[patent_doc_number] => 20230274324
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-08-31
[patent_title] => CLASSIFICATION OF DANGEROUS GOODS VIA MACHINE LEARNING
[patent_app_type] => utility
[patent_app_number] => 18/136394
[patent_app_country] => US
[patent_app_date] => 2023-04-19
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 7068
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 84
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18136394
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/136394 | Classification of dangerous goods via machine learning | Apr 18, 2023 | Issued |
Array
(
[id] => 19732948
[patent_doc_number] => 12210946
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2025-01-28
[patent_title] => Machine learning based function testing
[patent_app_type] => utility
[patent_app_number] => 18/132635
[patent_app_country] => US
[patent_app_date] => 2023-04-10
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 5
[patent_figures_cnt] => 5
[patent_no_of_words] => 9137
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 143
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18132635
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/132635 | Machine learning based function testing | Apr 9, 2023 | Issued |
Array
(
[id] => 19581764
[patent_doc_number] => 12147885
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-11-19
[patent_title] => Prospective media content generation using neural network modeling
[patent_app_type] => utility
[patent_app_number] => 18/116487
[patent_app_country] => US
[patent_app_date] => 2023-03-02
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 5
[patent_figures_cnt] => 5
[patent_no_of_words] => 5314
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 185
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18116487
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/116487 | Prospective media content generation using neural network modeling | Mar 1, 2023 | Issued |
Array
(
[id] => 19413883
[patent_doc_number] => 12079705
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-09-03
[patent_title] => Deep learning for credit controls
[patent_app_type] => utility
[patent_app_number] => 18/112582
[patent_app_country] => US
[patent_app_date] => 2023-02-22
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 8
[patent_figures_cnt] => 8
[patent_no_of_words] => 18861
[patent_no_of_claims] => 21
[patent_no_of_ind_claims] => 4
[patent_words_short_claim] => 189
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18112582
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/112582 | Deep learning for credit controls | Feb 21, 2023 | Issued |
Array
(
[id] => 19398927
[patent_doc_number] => 12073299
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-08-27
[patent_title] => Systems and methods for using contrastive pre-training to generate text and code embeddings
[patent_app_type] => utility
[patent_app_number] => 18/158166
[patent_app_country] => US
[patent_app_date] => 2023-01-23
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 5
[patent_figures_cnt] => 5
[patent_no_of_words] => 11002
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[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] => 18158166
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/158166 | Systems and methods for using contrastive pre-training to generate text and code embeddings | Jan 22, 2023 | Issued |
Array
(
[id] => 20076044
[patent_doc_number] => 12350074
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2025-07-08
[patent_title] => Stroke prediction multi-architecture stacked ensemble supermodel
[patent_app_type] => utility
[patent_app_number] => 18/726756
[patent_app_country] => US
[patent_app_date] => 2023-01-04
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 10
[patent_figures_cnt] => 13
[patent_no_of_words] => 6997
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 203
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18726756
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/726756 | Stroke prediction multi-architecture stacked ensemble supermodel | Jan 3, 2023 | Issued |
Array
(
[id] => 19493521
[patent_doc_number] => 12112238
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-10-08
[patent_title] => Scalable neutral atom based quantum computing
[patent_app_type] => utility
[patent_app_number] => 18/068408
[patent_app_country] => US
[patent_app_date] => 2022-12-19
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 15
[patent_figures_cnt] => 18
[patent_no_of_words] => 28812
[patent_no_of_claims] => 23
[patent_no_of_ind_claims] => 1
[patent_words_short_claim] => 205
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18068408
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/068408 | Scalable neutral atom based quantum computing | Dec 18, 2022 | Issued |
Array
(
[id] => 19093145
[patent_doc_number] => 11954607
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-04-09
[patent_title] => Systems and methods for reducing manufacturing failure rates
[patent_app_type] => utility
[patent_app_number] => 17/992769
[patent_app_country] => US
[patent_app_date] => 2022-11-22
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 4
[patent_figures_cnt] => 4
[patent_no_of_words] => 13655
[patent_no_of_claims] => 16
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 207
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17992769
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/992769 | Systems and methods for reducing manufacturing failure rates | Nov 21, 2022 | Issued |
Array
(
[id] => 19313646
[patent_doc_number] => 12039464
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-07-16
[patent_title] => Apparatus and method for creating non-fungible tokens (NFTs) for future user experiences
[patent_app_type] => utility
[patent_app_number] => 17/984754
[patent_app_country] => US
[patent_app_date] => 2022-11-10
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 8
[patent_figures_cnt] => 8
[patent_no_of_words] => 27246
[patent_no_of_claims] => 18
[patent_no_of_ind_claims] => 2
[patent_words_short_claim] => 182
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17984754
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/984754 | Apparatus and method for creating non-fungible tokens (NFTs) for future user experiences | Nov 9, 2022 | Issued |
Array
(
[id] => 18305811
[patent_doc_number] => 20230109711
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-04-13
[patent_title] => HIERARCHICAL TOURNAMENT-BASED MACHINE LEARNING PREDICTIONS
[patent_app_type] => utility
[patent_app_number] => 17/979479
[patent_app_country] => US
[patent_app_date] => 2022-11-02
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 5373
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 156
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17979479
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/979479 | Hierarchical tournament-based machine learning predictions | Nov 1, 2022 | Issued |
Array
(
[id] => 19212906
[patent_doc_number] => 12001971
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-06-04
[patent_title] => Method and system for exploring a personal interest space
[patent_app_type] => utility
[patent_app_number] => 17/966288
[patent_app_country] => US
[patent_app_date] => 2022-10-14
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 19
[patent_figures_cnt] => 19
[patent_no_of_words] => 11830
[patent_no_of_claims] => 17
[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] => 17966288
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/966288 | Method and system for exploring a personal interest space | Oct 13, 2022 | Issued |
Array
(
[id] => 18060556
[patent_doc_number] => 20220391642
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-12-08
[patent_title] => METHOD AND APPARATUS FOR EVALUATING JOINT TRAINING MODEL
[patent_app_type] => utility
[patent_app_number] => 17/887022
[patent_app_country] => US
[patent_app_date] => 2022-08-12
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 7628
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -9
[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] => 17887022
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/887022 | METHOD AND APPARATUS FOR EVALUATING JOINT TRAINING MODEL | Aug 11, 2022 | Abandoned |
Array
(
[id] => 18562065
[patent_doc_number] => 11727311
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2023-08-15
[patent_title] => Classifying user behavior as anomalous
[patent_app_type] => utility
[patent_app_number] => 17/870733
[patent_app_country] => US
[patent_app_date] => 2022-07-21
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 10
[patent_figures_cnt] => 10
[patent_no_of_words] => 8894
[patent_no_of_claims] => 21
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 208
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17870733
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/870733 | Classifying user behavior as anomalous | Jul 20, 2022 | Issued |
Array
(
[id] => 17992379
[patent_doc_number] => 20220358416
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-11-10
[patent_title] => ANALYZING PERFORMANCE OF MODELS TRAINED WITH VARYING CONSTRAINTS
[patent_app_type] => utility
[patent_app_number] => 17/813090
[patent_app_country] => US
[patent_app_date] => 2022-07-18
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 7559
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -13
[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] => 17813090
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/813090 | ANALYZING PERFORMANCE OF MODELS TRAINED WITH VARYING CONSTRAINTS | Jul 17, 2022 | Pending |
Array
(
[id] => 18096006
[patent_doc_number] => 20220414347
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-12-29
[patent_title] => Dynamic Subsystem Operational Sequencing to Concurrently Control and Distribute Supervised Learning Processor Training and Provide Predictive Responses to Input Data
[patent_app_type] => utility
[patent_app_number] => 17/858070
[patent_app_country] => US
[patent_app_date] => 2022-07-06
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 24328
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -28
[patent_words_short_claim] => 440
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17858070
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/858070 | Dynamic subsystem operational sequencing to concurrently control and distribute supervised learning processor training and provide predictive responses to input data | Jul 5, 2022 | Issued |
Array
(
[id] => 18578079
[patent_doc_number] => 11734612
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2023-08-22
[patent_title] => Obtaining a generated dataset with a predetermined bias for evaluating algorithmic fairness of a machine learning model
[patent_app_type] => utility
[patent_app_number] => 17/855323
[patent_app_country] => US
[patent_app_date] => 2022-06-30
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 6
[patent_figures_cnt] => 9
[patent_no_of_words] => 8956
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 121
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17855323
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/855323 | Obtaining a generated dataset with a predetermined bias for evaluating algorithmic fairness of a machine learning model | Jun 29, 2022 | Issued |