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] => 18528022 [patent_doc_number] => 11715016 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-08-01 [patent_title] => Adversarial input generation using variational autoencoder [patent_app_type] => utility [patent_app_number] => 16/354984 [patent_app_country] => US [patent_app_date] => 2019-03-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 5881 [patent_no_of_claims] => 18 [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] => 16354984 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/354984
Adversarial input generation using variational autoencoder Mar 14, 2019 Issued
Array ( [id] => 18528025 [patent_doc_number] => 11715019 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-08-01 [patent_title] => Method and device for operating a neural network in a memory-efficient manner [patent_app_type] => utility [patent_app_number] => 16/298335 [patent_app_country] => US [patent_app_date] => 2019-03-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 20 [patent_no_of_words] => 5191 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 506 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16298335 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/298335
Method and device for operating a neural network in a memory-efficient manner Mar 10, 2019 Issued
Array ( [id] => 14841351 [patent_doc_number] => 20190279076 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-09-12 [patent_title] => LEARNING FROM DELAYED OUTCOMES USING NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/298448 [patent_app_country] => US [patent_app_date] => 2019-03-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8107 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 147 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16298448 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/298448
Learning from delayed outcomes using neural networks Mar 10, 2019 Issued
Array ( [id] => 19356123 [patent_doc_number] => 12056571 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-08-06 [patent_title] => Methods and devices for obtaining quantum cluster states with high fault tolerance based on non-cubical unit cells [patent_app_type] => utility [patent_app_number] => 16/979829 [patent_app_country] => US [patent_app_date] => 2019-03-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 39 [patent_figures_cnt] => 67 [patent_no_of_words] => 31314 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 430 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16979829 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/979829
Methods and devices for obtaining quantum cluster states with high fault tolerance based on non-cubical unit cells Mar 10, 2019 Issued
Array ( [id] => 18000060 [patent_doc_number] => 11501168 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-11-15 [patent_title] => Learning longer-term dependencies in neural network using auxiliary losses [patent_app_type] => utility [patent_app_number] => 16/273041 [patent_app_country] => US [patent_app_date] => 2019-02-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 5 [patent_no_of_words] => 3968 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 209 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16273041 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/273041
Learning longer-term dependencies in neural network using auxiliary losses Feb 10, 2019 Issued
Array ( [id] => 15531283 [patent_doc_number] => 20200057947 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-02-20 [patent_title] => RESPONSE INFERENCE METHOD AND APPARATUS [patent_app_type] => utility [patent_app_number] => 16/266395 [patent_app_country] => US [patent_app_date] => 2019-02-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9454 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -25 [patent_words_short_claim] => 51 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16266395 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/266395
RESPONSE INFERENCE METHOD AND APPARATUS Feb 3, 2019 Abandoned
Array ( [id] => 16659777 [patent_doc_number] => 20210056414 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-02-25 [patent_title] => LEARNING APPARATUS, LEARNING METHOD, AND PROGRAM FOR LEARNING APPARATUS, AS WELL AS INFORMATION OUTPUT APPARATUS, INFORMATION OUPUT METHOD, AND INFORMATION OUTPUT PROGRAM [patent_app_type] => utility [patent_app_number] => 16/966744 [patent_app_country] => US [patent_app_date] => 2019-01-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7951 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -7 [patent_words_short_claim] => 186 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16966744 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/966744
LEARNING APPARATUS, LEARNING METHOD, AND PROGRAM FOR LEARNING APPARATUS, AS WELL AS INFORMATION OUTPUT APPARATUS, INFORMATION OUPUT METHOD, AND INFORMATION OUTPUT PROGRAM Jan 30, 2019 Abandoned
Array ( [id] => 16193286 [patent_doc_number] => 20200234135 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-23 [patent_title] => LEARNING METHOD AND LEARNING DEVICE FOR CNN USING 1xK OR Kx1 CONVOLUTION TO BE USED FOR HARDWARE OPTIMIZATION, AND TESTING METHOD AND TESTING DEVICE USING THE SAME [patent_app_type] => utility [patent_app_number] => 16/255109 [patent_app_country] => US [patent_app_date] => 2019-01-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10308 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -20 [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] => 16255109 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/255109
Learning method and learning device for CNN using 1xK or Kx1 convolution to be used for hardware optimization, and testing method and testing device using the same Jan 22, 2019 Issued
Array ( [id] => 15297731 [patent_doc_number] => 20190392001 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-26 [patent_title] => Systems and Methods for an Artificial Intelligence Data Fusion Platform [patent_app_type] => utility [patent_app_number] => 16/252422 [patent_app_country] => US [patent_app_date] => 2019-01-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 43637 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 135 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16252422 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/252422
Systems and Methods for an Artificial Intelligence Data Fusion Platform Jan 17, 2019 Abandoned
Array ( [id] => 16515261 [patent_doc_number] => 20200394519 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-17 [patent_title] => METHOD FOR OPERATING AN ARTIFICIAL NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/961491 [patent_app_country] => US [patent_app_date] => 2019-01-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8948 [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] => 16961491 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/961491
METHOD FOR OPERATING AN ARTIFICIAL NEURAL NETWORK Jan 2, 2019 Abandoned
Array ( [id] => 16117655 [patent_doc_number] => 20200210850 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-02 [patent_title] => Imaging Modality Smart Find Maintenance Systems and Methods [patent_app_type] => utility [patent_app_number] => 16/232367 [patent_app_country] => US [patent_app_date] => 2018-12-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20474 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16232367 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/232367
Imaging modality smart find maintenance systems and methods Dec 25, 2018 Issued
Array ( [id] => 17283430 [patent_doc_number] => 11200461 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-12-14 [patent_title] => Methods and arrangements to identify feature contributions to erroneous predictions [patent_app_type] => utility [patent_app_number] => 16/229934 [patent_app_country] => US [patent_app_date] => 2018-12-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 13 [patent_no_of_words] => 15169 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 401 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16229934 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/229934
Methods and arrangements to identify feature contributions to erroneous predictions Dec 20, 2018 Issued
Array ( [id] => 19507050 [patent_doc_number] => 12118476 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-10-15 [patent_title] => Anomaly detection device [patent_app_type] => utility [patent_app_number] => 16/963873 [patent_app_country] => US [patent_app_date] => 2018-12-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 8248 [patent_no_of_claims] => 9 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 586 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16963873 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/963873
Anomaly detection device Dec 19, 2018 Issued
Array ( [id] => 14473853 [patent_doc_number] => 20190188571 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-20 [patent_title] => TRAINING NEURAL NETWORKS USING EVOLUTION BASED STRATEGIES AND NOVELTY SEARCH [patent_app_type] => utility [patent_app_number] => 16/220533 [patent_app_country] => US [patent_app_date] => 2018-12-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6797 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 75 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16220533 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/220533
Training neural networks using evolution based strategies and novelty search Dec 13, 2018 Issued
Array ( [id] => 15904067 [patent_doc_number] => 20200151554 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-05-14 [patent_title] => MACHINE LEARNING BASED MODEL FOR SPECTRAL SCAN AND ANALYSIS [patent_app_type] => utility [patent_app_number] => 16/184930 [patent_app_country] => US [patent_app_date] => 2018-11-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6635 [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] => 16184930 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/184930
MACHINE LEARNING BASED MODEL FOR SPECTRAL SCAN AND ANALYSIS Nov 7, 2018 Abandoned
Array ( [id] => 18912265 [patent_doc_number] => 11875245 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-01-16 [patent_title] => System, apparatus and method for spiking neural network [patent_app_type] => utility [patent_app_number] => 16/184041 [patent_app_country] => US [patent_app_date] => 2018-11-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 33 [patent_figures_cnt] => 43 [patent_no_of_words] => 9154 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 280 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16184041 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/184041
System, apparatus and method for spiking neural network Nov 7, 2018 Issued
Array ( [id] => 13992101 [patent_doc_number] => 20190065208 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-02-28 [patent_title] => PROCESSING DEVICE AND RELATED PRODUCTS [patent_app_type] => utility [patent_app_number] => 16/168778 [patent_app_country] => US [patent_app_date] => 2018-10-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10206 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16168778 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/168778
Processing device and related products Oct 22, 2018 Issued
Array ( [id] => 15562527 [patent_doc_number] => 20200065675 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-02-27 [patent_title] => Deep Convolutional Neural Networks for Variant Classification [patent_app_type] => utility [patent_app_number] => 16/160986 [patent_app_country] => US [patent_app_date] => 2018-10-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 30527 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 288 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16160986 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/160986
Deep convolutional neural networks for variant classification Oct 14, 2018 Issued
Array ( [id] => 17144273 [patent_doc_number] => 20210312286 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-10-07 [patent_title] => SYSTEM FOR DESIGNING AND VALIDATING FINE GRAINED FRAUD DETECTION RULES [patent_app_type] => utility [patent_app_number] => 17/283005 [patent_app_country] => US [patent_app_date] => 2018-10-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9497 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 167 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17283005 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/283005
System for designing and validating fine grained fraud detection rules Oct 8, 2018 Issued
Array ( [id] => 18276264 [patent_doc_number] => 11615208 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-03-28 [patent_title] => Systems and methods for synthetic data generation [patent_app_type] => utility [patent_app_number] => 16/151407 [patent_app_country] => US [patent_app_date] => 2018-10-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 18 [patent_no_of_words] => 21431 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [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] => 16151407 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/151407
Systems and methods for synthetic data generation Oct 3, 2018 Issued
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