Search

Jaime Figueroa

Examiner (ID: 10118, Phone: (571)270-7620 , Office: P/3664 )

Most Active Art Unit
3664
Art Unit(s)
3656, 3664
Total Applications
1119
Issued Applications
951
Pending Applications
63
Abandoned Applications
129

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] => 19617970 [patent_doc_number] => 20240403650 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-12-05 [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] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10208 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -24 [patent_words_short_claim] => 108 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [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 Pending
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 Pending
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] => 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] => 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] => 18614718 [patent_doc_number] => 20230281455 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-09-07 [patent_title] => METHODS AND ARRANGEMENTS TO IDENTIFY FEATURE CONTRIBUTIONS TO ERRONEOUS PREDICTIONS [patent_app_type] => utility [patent_app_number] => 18/196986 [patent_app_country] => US [patent_app_date] => 2023-05-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15241 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 18196986 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/196986
METHODS AND ARRANGEMENTS TO IDENTIFY FEATURE CONTRIBUTIONS TO ERRONEOUS PREDICTIONS May 11, 2023 Pending
Array ( [id] => 19327672 [patent_doc_number] => 12045357 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-07-23 [patent_title] => System for designing and validating fine grained fraud detection rules [patent_app_type] => utility [patent_app_number] => 18/315069 [patent_app_country] => US [patent_app_date] => 2023-05-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 9540 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 345 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18315069 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/315069
System for designing and validating fine grained fraud detection rules May 9, 2023 Issued
Array ( [id] => 18934521 [patent_doc_number] => 11886955 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-01-30 [patent_title] => Self-supervised data obfuscation in foundation models [patent_app_type] => utility [patent_app_number] => 18/303454 [patent_app_country] => US [patent_app_date] => 2023-04-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 14 [patent_no_of_words] => 20772 [patent_no_of_claims] => 29 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 194 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18303454 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/303454
Self-supervised data obfuscation in foundation models Apr 18, 2023 Issued
Array ( [id] => 18756439 [patent_doc_number] => 20230359888 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-11-09 [patent_title] => OPTIMIZATION AND DIGITAL TWIN OF CHROMATOGRAPHY PURIFICATION PROCESS USING PHYSICS-INFORMED NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 18/135857 [patent_app_country] => US [patent_app_date] => 2023-04-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10349 [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] => 18135857 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/135857
OPTIMIZATION AND DIGITAL TWIN OF CHROMATOGRAPHY PURIFICATION PROCESS USING PHYSICS-INFORMED NEURAL NETWORKS Apr 17, 2023 Pending
Array ( [id] => 19036889 [patent_doc_number] => 20240086704 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-03-14 [patent_title] => MODEL UNDERSTANDABILITY [patent_app_type] => utility [patent_app_number] => 18/298487 [patent_app_country] => US [patent_app_date] => 2023-04-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20460 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 91 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18298487 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/298487
MODEL UNDERSTANDABILITY Apr 10, 2023 Pending
Array ( [id] => 18631605 [patent_doc_number] => 20230290510 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-09-14 [patent_title] => DIGITAL THERAPEUTIC PLATFORM [patent_app_type] => utility [patent_app_number] => 18/132001 [patent_app_country] => US [patent_app_date] => 2023-04-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7075 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 473 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18132001 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/132001
DIGITAL THERAPEUTIC PLATFORM Apr 6, 2023 Pending
Array ( [id] => 18539804 [patent_doc_number] => 20230244912 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-08-03 [patent_title] => LEARNING FROM DELAYED OUTCOMES USING NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 18/131580 [patent_app_country] => US [patent_app_date] => 2023-04-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8124 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 175 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18131580 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/131580
Learning from delayed outcomes using neural networks Apr 5, 2023 Issued
Array ( [id] => 18660276 [patent_doc_number] => 20230306284 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-09-28 [patent_title] => Stateful, Real-Time, Interactive, and Predictive Knowledge Pattern Machine [patent_app_type] => utility [patent_app_number] => 18/187447 [patent_app_country] => US [patent_app_date] => 2023-03-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 21325 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 247 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18187447 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/187447
Stateful, Real-Time, Interactive, and Predictive Knowledge Pattern Machine Mar 20, 2023 Abandoned
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