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] => 17416201 [patent_doc_number] => 20220051105 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-17 [patent_title] => TRAINING TEACHER MACHINE LEARNING MODELS USING LOSSLESS AND LOSSY BRANCHES [patent_app_type] => utility [patent_app_number] => 16/994656 [patent_app_country] => US [patent_app_date] => 2020-08-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9793 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 145 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16994656 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/994656
Training teacher machine learning models using lossless and lossy branches Aug 16, 2020 Issued
Array ( [id] => 16623957 [patent_doc_number] => 20210042610 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-02-11 [patent_title] => ARCHITECTURE TO COMPUTE SPARSE NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/995032 [patent_app_country] => US [patent_app_date] => 2020-08-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3561 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [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] => 16995032 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/995032
ARCHITECTURE TO COMPUTE SPARSE NEURAL NETWORK Aug 16, 2020 Pending
Array ( [id] => 17416225 [patent_doc_number] => 20220051129 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-17 [patent_title] => BLOCKCHAIN-ENABLED MODEL DRIFT MANAGEMENT [patent_app_type] => utility [patent_app_number] => 16/993987 [patent_app_country] => US [patent_app_date] => 2020-08-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 19507 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 45 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16993987 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/993987
BLOCKCHAIN-ENABLED MODEL DRIFT MANAGEMENT Aug 13, 2020 Pending
Array ( [id] => 17416175 [patent_doc_number] => 20220051079 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-17 [patent_title] => AUTO-ENCODING USING NEURAL NETWORK ARCHITECTURES BASED ON SYNAPTIC CONNECTIVITY GRAPHS [patent_app_type] => utility [patent_app_number] => 16/994487 [patent_app_country] => US [patent_app_date] => 2020-08-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11115 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 222 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16994487 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/994487
AUTO-ENCODING USING NEURAL NETWORK ARCHITECTURES BASED ON SYNAPTIC CONNECTIVITY GRAPHS Aug 13, 2020 Abandoned
Array ( [id] => 16439535 [patent_doc_number] => 20200356861 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-11-12 [patent_title] => EVALUATING THE VALUE OF CONNECTING A SELECTED PAIR OF UNCONNECTED NODES OF A NODAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/929900 [patent_app_country] => US [patent_app_date] => 2020-07-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 34823 [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] => 16929900 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/929900
Evaluating the value of connecting a selected pair of unconnected nodes of a nodal network Jul 14, 2020 Issued
Array ( [id] => 16424248 [patent_doc_number] => 20200349446 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-11-05 [patent_title] => TRAINING A NODAL NETWORK SO THAT A FIRST NODE HAS A HIGH MAGNITUDE CORRELATION WITH THE PARTIAL DERIVATIVE OF THE OBJECTIVE WITH RESPECT TO A SECOND NODE [patent_app_type] => utility [patent_app_number] => 16/930085 [patent_app_country] => US [patent_app_date] => 2020-07-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 34828 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -6 [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] => 16930085 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/930085
TRAINING A NODAL NETWORK SO THAT A FIRST NODE HAS A HIGH MAGNITUDE CORRELATION WITH THE PARTIAL DERIVATIVE OF THE OBJECTIVE WITH RESPECT TO A SECOND NODE Jul 14, 2020 Abandoned
Array ( [id] => 16424252 [patent_doc_number] => 20200349450 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-11-05 [patent_title] => PROJECTION NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/926908 [patent_app_country] => US [patent_app_date] => 2020-07-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9213 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 214 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16926908 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/926908
Projection neural networks Jul 12, 2020 Issued
Array ( [id] => 17216908 [patent_doc_number] => 20210350246 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-11 [patent_title] => ALTERING MOTION OF COMPUTER SIMULATION CHARACTERS TO ACCOUNT FOR SIMULATION FORCES IMPOSED ON THE CHARACTERS [patent_app_type] => utility [patent_app_number] => 16/871861 [patent_app_country] => US [patent_app_date] => 2020-05-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4773 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 45 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16871861 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/871861
ALTERING MOTION OF COMPUTER SIMULATION CHARACTERS TO ACCOUNT FOR SIMULATION FORCES IMPOSED ON THE CHARACTERS May 10, 2020 Abandoned
Array ( [id] => 16193343 [patent_doc_number] => 20200234192 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-23 [patent_title] => TRAINING DISTILLED MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 16/841859 [patent_app_country] => US [patent_app_date] => 2020-04-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5134 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16841859 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/841859
Training distilled machine learning models Apr 6, 2020 Issued
Array ( [id] => 16347147 [patent_doc_number] => 20200311798 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-01 [patent_title] => SEARCH ENGINE USE OF NEURAL NETWORK REGRESSOR FOR MULTI-MODAL ITEM RECOMMENDATIONS BASED ON VISUAL SEMANTIC EMBEDDINGS [patent_app_type] => utility [patent_app_number] => 16/828776 [patent_app_country] => US [patent_app_date] => 2020-03-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18751 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 144 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16828776 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/828776
Search engine use of neural network regressor for multi-modal item recommendations based on visual semantic embeddings Mar 23, 2020 Issued
Array ( [id] => 16161561 [patent_doc_number] => 20200219013 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-09 [patent_title] => MACHINE LEARNING FACTORY [patent_app_type] => utility [patent_app_number] => 16/823229 [patent_app_country] => US [patent_app_date] => 2020-03-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 19827 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -21 [patent_words_short_claim] => 160 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16823229 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/823229
MACHINE LEARNING FACTORY Mar 17, 2020 Abandoned
Array ( [id] => 19276483 [patent_doc_number] => 12026613 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-07-02 [patent_title] => Transfer learning across automated machine learning systems [patent_app_type] => utility [patent_app_number] => 16/806626 [patent_app_country] => US [patent_app_date] => 2020-03-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 12 [patent_figures_cnt] => 12 [patent_no_of_words] => 11937 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 243 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16806626 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/806626
Transfer learning across automated machine learning systems Mar 1, 2020 Issued
Array ( [id] => 18155287 [patent_doc_number] => 11568268 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-01-31 [patent_title] => Deep learning heterogeneous computing method based on layer-wide memory allocation and system thereof [patent_app_type] => utility [patent_app_number] => 16/748284 [patent_app_country] => US [patent_app_date] => 2020-01-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 3 [patent_figures_cnt] => 6 [patent_no_of_words] => 7636 [patent_no_of_claims] => 6 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 489 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16748284 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/748284
Deep learning heterogeneous computing method based on layer-wide memory allocation and system thereof Jan 20, 2020 Issued
Array ( [id] => 15839889 [patent_doc_number] => 20200135227 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-30 [patent_title] => CONVOLUTIONAL, LONG SHORT-TERM MEMORY, FULLY CONNECTED DEEP NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/731464 [patent_app_country] => US [patent_app_date] => 2019-12-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8615 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 122 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16731464 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/731464
Convolutional, long short-term memory, fully connected deep neural networks Dec 30, 2019 Issued
Array ( [id] => 19340799 [patent_doc_number] => 12050992 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-07-30 [patent_title] => Method for compensating for process variation by means of activation value adjustment in analog binarized neural network circuit, and system therefor [patent_app_type] => utility [patent_app_number] => 16/971917 [patent_app_country] => US [patent_app_date] => 2019-12-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 6811 [patent_no_of_claims] => 9 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 397 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16971917 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/971917
Method for compensating for process variation by means of activation value adjustment in analog binarized neural network circuit, and system therefor Dec 30, 2019 Issued
Array ( [id] => 17195336 [patent_doc_number] => 11164095 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-11-02 [patent_title] => Fuzzy curve analysis based soft sensor modeling method using time difference Gaussian process regression [patent_app_type] => utility [patent_app_number] => 16/710710 [patent_app_country] => US [patent_app_date] => 2019-12-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 5 [patent_no_of_words] => 2907 [patent_no_of_claims] => 3 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 171 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16710710 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/710710
Fuzzy curve analysis based soft sensor modeling method using time difference Gaussian process regression Dec 10, 2019 Issued
Array ( [id] => 15562543 [patent_doc_number] => 20200065683 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-02-27 [patent_title] => DOMAIN NAME GENERATION AND RANKING [patent_app_type] => utility [patent_app_number] => 16/672068 [patent_app_country] => US [patent_app_date] => 2019-11-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11847 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [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] => 16672068 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/672068
DOMAIN NAME GENERATION AND RANKING Oct 31, 2019 Abandoned
Array ( [id] => 16577804 [patent_doc_number] => 20210012205 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-14 [patent_title] => LEARNING DEVICE, IDENTIFICATION DEVICE, AND PROGRAM [patent_app_type] => utility [patent_app_number] => 16/968721 [patent_app_country] => US [patent_app_date] => 2019-10-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13384 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 100 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16968721 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/968721
LEARNING DEVICE, IDENTIFICATION DEVICE, AND PROGRAM Oct 28, 2019 Abandoned
Array ( [id] => 15530693 [patent_doc_number] => 20200057652 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-02-20 [patent_title] => PROCESSING DEVICE AND RELATED PRODUCTS [patent_app_type] => utility [patent_app_number] => 16/663210 [patent_app_country] => US [patent_app_date] => 2019-10-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10355 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 136 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16663210 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/663210
Processing device and related products Oct 23, 2019 Issued
Array ( [id] => 17636792 [patent_doc_number] => 11347516 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-05-31 [patent_title] => Processing device and related products [patent_app_type] => utility [patent_app_number] => 16/663205 [patent_app_country] => US [patent_app_date] => 2019-10-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 14 [patent_no_of_words] => 10407 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 261 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16663205 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/663205
Processing device and related products Oct 23, 2019 Issued
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