Search

Gerald Mcclain

Examiner (ID: 317, Phone: (571)272-7803 , Office: P/3652 )

Most Active Art Unit
3652
Art Unit(s)
3653, 3652
Total Applications
1258
Issued Applications
961
Pending Applications
95
Abandoned Applications
230

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 20152470 [patent_doc_number] => 20250252308 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-08-07 [patent_title] => METHOD FOR CONVERTING NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 19/035231 [patent_app_country] => US [patent_app_date] => 2025-01-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 50349 [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] => 19035231 [rel_patent_id] =>[rel_patent_doc_number] =>)
19/035231
Method for converting neural network Jan 22, 2025 Issued
Array ( [id] => 19905848 [patent_doc_number] => 12282857 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-04-22 [patent_title] => Relative margin for contrastive learning [patent_app_type] => utility [patent_app_number] => 18/900506 [patent_app_country] => US [patent_app_date] => 2024-09-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 1332 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 384 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18900506 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/900506
Relative margin for contrastive learning Sep 26, 2024 Issued
Array ( [id] => 19451381 [patent_doc_number] => 20240311511 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-09-19 [patent_title] => AUTOENCODER-BASED INFORMATION CONTENT PRESERVING DATA ANONYMIZATION SYSTEM [patent_app_type] => utility [patent_app_number] => 18/669133 [patent_app_country] => US [patent_app_date] => 2024-05-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6268 [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] => 18669133 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/669133
AUTOENCODER-BASED INFORMATION CONTENT PRESERVING DATA ANONYMIZATION SYSTEM May 19, 2024 Pending
Array ( [id] => 19558921 [patent_doc_number] => 20240370713 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-11-07 [patent_title] => SIMPLIFICATION OF SPIKING NEURAL NETWORK MODELS [patent_app_type] => utility [patent_app_number] => 18/632704 [patent_app_country] => US [patent_app_date] => 2024-04-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8141 [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] => 18632704 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/632704
SIMPLIFICATION OF SPIKING NEURAL NETWORK MODELS Apr 10, 2024 Pending
Array ( [id] => 19544701 [patent_doc_number] => 20240361737 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-10-31 [patent_title] => Context Driven Routine Prediction Assistance [patent_app_type] => utility [patent_app_number] => 18/604152 [patent_app_country] => US [patent_app_date] => 2024-03-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7466 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 184 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18604152 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/604152
Context driven routine prediction assistance Mar 12, 2024 Issued
Array ( [id] => 19252136 [patent_doc_number] => 20240203132 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-06-20 [patent_title] => GROUP OF NEURAL NETWORKS ENSURING INTEGRITY [patent_app_type] => utility [patent_app_number] => 18/594532 [patent_app_country] => US [patent_app_date] => 2024-03-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 33186 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 106 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18594532 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/594532
GROUP OF NEURAL NETWORKS ENSURING INTEGRITY Mar 3, 2024 Pending
Array ( [id] => 19238669 [patent_doc_number] => 20240195864 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-06-13 [patent_title] => CORRELATIONS BETWEEN WORKLOAD CHARACTERISTICS AND ELAPSED TIMES [patent_app_type] => utility [patent_app_number] => 18/418424 [patent_app_country] => US [patent_app_date] => 2024-01-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8469 [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] => 18418424 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/418424
Correlations between workload characteristics and elapsed times Jan 21, 2024 Issued
Array ( [id] => 20243301 [patent_doc_number] => 12423622 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-23 [patent_title] => Generative machine learning systems for generating structural information regarding chemical compound [patent_app_type] => utility [patent_app_number] => 18/394019 [patent_app_country] => US [patent_app_date] => 2023-12-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 20 [patent_figures_cnt] => 21 [patent_no_of_words] => 17352 [patent_no_of_claims] => 29 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 161 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18394019 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/394019
Generative machine learning systems for generating structural information regarding chemical compound Dec 21, 2023 Issued
Array ( [id] => 19686870 [patent_doc_number] => 20250005415 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-01-02 [patent_title] => DEVICES AND METHODS FOR CAVITY-BASED COMPUTING [patent_app_type] => utility [patent_app_number] => 18/521970 [patent_app_country] => US [patent_app_date] => 2023-11-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 45524 [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] => 18521970 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/521970
DEVICES AND METHODS FOR CAVITY-BASED COMPUTING Nov 27, 2023 Pending
Array ( [id] => 20160473 [patent_doc_number] => 12387105 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-08-12 [patent_title] => Executing a genetic algorithm on a low-power controller [patent_app_type] => utility [patent_app_number] => 18/520192 [patent_app_country] => US [patent_app_date] => 2023-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 9430 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 175 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18520192 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/520192
Executing a genetic algorithm on a low-power controller Nov 26, 2023 Issued
Array ( [id] => 19387371 [patent_doc_number] => 20240277241 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-08-22 [patent_title] => SYSTEMS, APPARATUSES AND METHODS FOR SENSING FETAL ACTIVITY [patent_app_type] => utility [patent_app_number] => 18/519123 [patent_app_country] => US [patent_app_date] => 2023-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6991 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 299 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18519123 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/519123
SYSTEMS, APPARATUSES AND METHODS FOR SENSING FETAL ACTIVITY Nov 26, 2023 Abandoned
Array ( [id] => 19678339 [patent_doc_number] => 12190203 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-01-07 [patent_title] => System and methods for achieving orthogonal control of non-orthogonal qubit parameters [patent_app_type] => utility [patent_app_number] => 18/385226 [patent_app_country] => US [patent_app_date] => 2023-10-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 21629 [patent_no_of_claims] => 10 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 223 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18385226 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/385226
System and methods for achieving orthogonal control of non-orthogonal qubit parameters Oct 29, 2023 Issued
Array ( [id] => 19392547 [patent_doc_number] => 20240282417 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-08-22 [patent_title] => SYSTEMS AND METHODS FOR AUTOREGRESSIVE RECURRENT NEURAL NETWORKS FOR IDENTIFYING ACTIONABLE VITAL ALERTS [patent_app_type] => utility [patent_app_number] => 18/375006 [patent_app_country] => US [patent_app_date] => 2023-09-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6026 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 112 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18375006 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/375006
Systems and methods for autoregressive recurrent neural networks for identifying actionable vital alerts Sep 28, 2023 Issued
Array ( [id] => 19383502 [patent_doc_number] => 20240273372 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-08-15 [patent_title] => MACHINE LEARNING NETWORKS, ARCHITECTURES AND TECHNIQUES FOR DETERMINING OR PREDICTING DEMAND METRICS IN ONE OR MORE CHANNELS [patent_app_type] => utility [patent_app_number] => 18/244585 [patent_app_country] => US [patent_app_date] => 2023-09-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17692 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 244 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18244585 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/244585
Machine learning networks, architectures and techniques for determining or predicting demand metrics in one or more channels Sep 10, 2023 Issued
Array ( [id] => 18811368 [patent_doc_number] => 20230385704 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-11-30 [patent_title] => SYSTEMS AND METHOD FOR PERFORMING CONTEXTUAL CLASSIFICATION USING SUPERVISED AND UNSUPERVISED TRAINING [patent_app_type] => utility [patent_app_number] => 18/446980 [patent_app_country] => US [patent_app_date] => 2023-08-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8664 [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] => 18446980 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/446980
SYSTEMS AND METHOD FOR PERFORMING CONTEXTUAL CLASSIFICATION USING SUPERVISED AND UNSUPERVISED TRAINING Aug 8, 2023 Pending
Array ( [id] => 18788393 [patent_doc_number] => 20230376856 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-11-23 [patent_title] => Communication Efficient Federated Learning [patent_app_type] => utility [patent_app_number] => 18/365734 [patent_app_country] => US [patent_app_date] => 2023-08-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7955 [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] => 18365734 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/365734
Communication Efficient Federated Learning Aug 3, 2023 Pending
Array ( [id] => 18788328 [patent_doc_number] => 20230376777 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-11-23 [patent_title] => SYSTEM AND METHOD FOR EFFICIENT EVOLUTION OF DEEP CONVOLUTIONAL NEURAL NETWORKS USING FILTER-WISE RECOMBINATION AND PROPAGATED MUTATIONS [patent_app_type] => utility [patent_app_number] => 18/357554 [patent_app_country] => US [patent_app_date] => 2023-07-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8606 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 209 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18357554 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/357554
System and method for efficient evolution of deep convolutional neural networks using filter-wise recombination and propagated mutations Jul 23, 2023 Issued
Array ( [id] => 19443552 [patent_doc_number] => 12093829 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-09-17 [patent_title] => Neural networks with switch layers [patent_app_type] => utility [patent_app_number] => 18/349089 [patent_app_country] => US [patent_app_date] => 2023-07-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 11246 [patent_no_of_claims] => 20 [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] => 18349089 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/349089
Neural networks with switch layers Jul 6, 2023 Issued
Array ( [id] => 20175124 [patent_doc_number] => 12393873 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-08-19 [patent_title] => Customized predictive analytical model training [patent_app_type] => utility [patent_app_number] => 18/348217 [patent_app_country] => US [patent_app_date] => 2023-07-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 3871 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 210 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18348217 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/348217
Customized predictive analytical model training Jul 5, 2023 Issued
Array ( [id] => 18788363 [patent_doc_number] => 20230376819 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-11-23 [patent_title] => DEVICES AND METHODS FOR CAVITY-BASED COMPUTING [patent_app_type] => utility [patent_app_number] => 18/333437 [patent_app_country] => US [patent_app_date] => 2023-06-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 45486 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -27 [patent_words_short_claim] => 66 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18333437 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/333437
Devices and methods for forming optical traps for scalable trapped atom computing Jun 11, 2023 Issued
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