Search

Anthony T. Whittington

Examiner (ID: 9470)

Most Active Art Unit
2127
Art Unit(s)
2127, 2133, 2126, 2121
Total Applications
359
Issued Applications
290
Pending Applications
0
Abandoned Applications
72

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 20222011 [patent_doc_number] => 20250284942 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-09-11 [patent_title] => BIOLOGICAL NEURAL NETWORK SYSTEM AND METHODS [patent_app_type] => utility [patent_app_number] => 19/054628 [patent_app_country] => US [patent_app_date] => 2025-02-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 54735 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 151 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19054628 [rel_patent_id] =>[rel_patent_doc_number] =>)
19/054628
BIOLOGICAL NEURAL NETWORK SYSTEM AND METHODS Feb 13, 2025 Pending
Array ( [id] => 20052543 [patent_doc_number] => 20250190765 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-06-12 [patent_title] => SYSTEMS AND METHODS FOR PERCEPTUAL QUALITY-DRIVEN ADAPTIVE QUANTIZATION IN NEURAL NETWORK DATA COMPRESSION WITH DYNAMIC FEEDBACK CONTROL [patent_app_type] => utility [patent_app_number] => 19/048895 [patent_app_country] => US [patent_app_date] => 2025-02-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10674 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 130 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19048895 [rel_patent_id] =>[rel_patent_doc_number] =>)
19/048895
SYSTEMS AND METHODS FOR PERCEPTUAL QUALITY-DRIVEN ADAPTIVE QUANTIZATION IN NEURAL NETWORK DATA COMPRESSION WITH DYNAMIC FEEDBACK CONTROL Feb 7, 2025 Pending
Array ( [id] => 20580562 [patent_doc_number] => 12572814 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-03-10 [patent_title] => Artificial neural network based search engine circuitry [patent_app_type] => utility [patent_app_number] => 18/802747 [patent_app_country] => US [patent_app_date] => 2024-08-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 20 [patent_no_of_words] => 4784 [patent_no_of_claims] => 30 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 328 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18802747 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/802747
Artificial neural network based search engine circuitry Aug 12, 2024 Issued
Array ( [id] => 19406102 [patent_doc_number] => 20240289613 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-08-29 [patent_title] => Method, System, and Computer Program Product for Embedding Compression and Regularization [patent_app_type] => utility [patent_app_number] => 18/656024 [patent_app_country] => US [patent_app_date] => 2024-05-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11864 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 324 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18656024 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/656024
Method, system, and computer program product for embedding compression and regularization May 5, 2024 Issued
Array ( [id] => 20102271 [patent_doc_number] => 20250232207 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-07-17 [patent_title] => PERFORMANCE OPTIMIZATION PREDICTIONS RELATED TO AN ENTITY DATASET BASED ON A MODIFIED VERSION OF A PREDEFINED FEATURE SET FOR A CANDIDATE MACHINE LEARNING MODEL [patent_app_type] => utility [patent_app_number] => 18/410374 [patent_app_country] => US [patent_app_date] => 2024-01-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13278 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 312 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18410374 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/410374
Performance optimization predictions related to an entity dataset based on a modified version of a predefined feature set for a candidate machine learning model Jan 10, 2024 Issued
Array ( [id] => 19917895 [patent_doc_number] => 12293265 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-05-06 [patent_title] => Apparatus and method for model optimization [patent_app_type] => utility [patent_app_number] => 18/409666 [patent_app_country] => US [patent_app_date] => 2024-01-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 9 [patent_no_of_words] => 17396 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 353 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18409666 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/409666
Apparatus and method for model optimization Jan 9, 2024 Issued
Array ( [id] => 20494606 [patent_doc_number] => 12536478 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-01-27 [patent_title] => Training distilled machine learning models [patent_app_type] => utility [patent_app_number] => 18/399358 [patent_app_country] => US [patent_app_date] => 2023-12-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 0 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 6 [patent_words_short_claim] => 321 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18399358 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/399358
Training distilled machine learning models Dec 27, 2023 Issued
Array ( [id] => 19220376 [patent_doc_number] => 20240185080 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-06-06 [patent_title] => SELF-SUPERVISED DATA OBFUSCATION IN FOUNDATION MODELS [patent_app_type] => utility [patent_app_number] => 18/532767 [patent_app_country] => US [patent_app_date] => 2023-12-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20809 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 52 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18532767 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/532767
SELF-SUPERVISED DATA OBFUSCATION IN FOUNDATION MODELS Dec 6, 2023 Pending
Array ( [id] => 19757049 [patent_doc_number] => 20250045614 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-02-06 [patent_title] => APPARATUS AND METHOD WITH HYBRID QUANTUM-CLASSICAL NEURAL NETWORK ARCHITECTURE GENERATION [patent_app_type] => utility [patent_app_number] => 18/531119 [patent_app_country] => US [patent_app_date] => 2023-12-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9108 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 98 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18531119 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/531119
APPARATUS AND METHOD WITH HYBRID QUANTUM-CLASSICAL NEURAL NETWORK ARCHITECTURE GENERATION Dec 5, 2023 Pending
Array ( [id] => 20027293 [patent_doc_number] => 20250165515 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-05-22 [patent_title] => SUPPORT SYSTEM FOR BUILDING MICROSERVICE AND INTEGRATED OPERATING SYSTEM COMPRISING SAME [patent_app_type] => utility [patent_app_number] => 18/519685 [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] => 6462 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -7 [patent_words_short_claim] => 89 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18519685 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/519685
SUPPORT SYSTEM FOR BUILDING MICROSERVICE AND INTEGRATED OPERATING SYSTEM COMPRISING SAME Nov 26, 2023 Pending
Array ( [id] => 19879014 [patent_doc_number] => 20250111271 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-04-03 [patent_title] => TELEMETRY DATA PROCESSING AND REPRESENTATIONS FOR FOUNDATION MODELS [patent_app_type] => utility [patent_app_number] => 18/479911 [patent_app_country] => US [patent_app_date] => 2023-10-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13511 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 133 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18479911 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/479911
TELEMETRY DATA PROCESSING AND REPRESENTATIONS FOR FOUNDATION MODELS Oct 2, 2023 Pending
Array ( [id] => 19879000 [patent_doc_number] => 20250111257 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-04-03 [patent_title] => Generating Different Sampling Orders of Random Variables in a Bayesian Model for Markov Chain Monte Carlo Sampling Techniques [patent_app_type] => utility [patent_app_number] => 18/478822 [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] => 4459 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 116 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18478822 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/478822
Generating Different Sampling Orders of Random Variables in a Bayesian Model for Markov Chain Monte Carlo Sampling Techniques Sep 28, 2023 Pending
Array ( [id] => 19819753 [patent_doc_number] => 20250077960 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-03-06 [patent_title] => FEATURE SELECTION FOR REINFORCEMENT LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 18/462013 [patent_app_country] => US [patent_app_date] => 2023-09-06 [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] => 166 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18462013 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/462013
FEATURE SELECTION FOR REINFORCEMENT LEARNING MODELS Sep 5, 2023 Pending
Array ( [id] => 19819740 [patent_doc_number] => 20250077947 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-03-06 [patent_title] => EXPLAINABLE MACHINE LEARNING CLASSIFIERS TRAINED ON PRIVACY-PRESERVING AGGREGATED DATA [patent_app_type] => utility [patent_app_number] => 18/457877 [patent_app_country] => US [patent_app_date] => 2023-08-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6867 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 111 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18457877 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/457877
EXPLAINABLE MACHINE LEARNING CLASSIFIERS TRAINED ON PRIVACY-PRESERVING AGGREGATED DATA Aug 28, 2023 Pending
Array ( [id] => 19911940 [patent_doc_number] => 12288151 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-04-29 [patent_title] => Using machine learning to extract information from electronic communications [patent_app_type] => utility [patent_app_number] => 18/234768 [patent_app_country] => US [patent_app_date] => 2023-08-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 5681 [patent_no_of_claims] => 10 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 492 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18234768 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/234768
Using machine learning to extract information from electronic communications Aug 15, 2023 Issued
Array ( [id] => 18814163 [patent_doc_number] => 20230388500 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-11-30 [patent_title] => IMAGE COMPRESSION AND DECODING, VIDEO COMPRESSION AND DECODING: METHODS AND SYSTEMS [patent_app_type] => utility [patent_app_number] => 18/230249 [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] => 91946 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 110 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18230249 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/230249
IMAGE COMPRESSION AND DECODING, VIDEO COMPRESSION AND DECODING: METHODS AND SYSTEMS Aug 3, 2023 Abandoned
Array ( [id] => 19726244 [patent_doc_number] => 20250028995 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-01-23 [patent_title] => TRAINING AND APPLICATION OF BOTTLENECK MODELS AND EMBEDDINGS [patent_app_type] => utility [patent_app_number] => 18/224889 [patent_app_country] => US [patent_app_date] => 2023-07-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10065 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 229 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18224889 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/224889
TRAINING AND APPLICATION OF BOTTLENECK MODELS AND EMBEDDINGS Jul 20, 2023 Pending
Array ( [id] => 19669952 [patent_doc_number] => 12182712 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-12-31 [patent_title] => Node-splitting for neural networks based on magnitude of norm of vector of partial derivatives [patent_app_type] => utility [patent_app_number] => 18/352044 [patent_app_country] => US [patent_app_date] => 2023-07-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 31 [patent_figures_cnt] => 31 [patent_no_of_words] => 35030 [patent_no_of_claims] => 26 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 293 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18352044 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/352044
Node-splitting for neural networks based on magnitude of norm of vector of partial derivatives Jul 12, 2023 Issued
Array ( [id] => 20482106 [patent_doc_number] => 12530581 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-01-20 [patent_title] => Contrastive sequence-to-sequence data selector [patent_app_type] => utility [patent_app_number] => 18/351397 [patent_app_country] => US [patent_app_date] => 2023-07-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 12 [patent_figures_cnt] => 12 [patent_no_of_words] => 2132 [patent_no_of_claims] => 8 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 310 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18351397 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/351397
Contrastive sequence-to-sequence data selector Jul 11, 2023 Issued
Array ( [id] => 19686803 [patent_doc_number] => 20250005348 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-01-02 [patent_title] => NEURONAL ACTIVITY MODULATION OF ARTIFICIAL NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 18/342002 [patent_app_country] => US [patent_app_date] => 2023-06-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 22610 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 18342002 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/342002
NEURONAL ACTIVITY MODULATION OF ARTIFICIAL NEURAL NETWORKS Jun 26, 2023 Pending
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