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Phoebe Anne Staton

Examiner (ID: 12223)

Most Active Art Unit
3783
Art Unit(s)
3783
Total Applications
69
Issued Applications
51
Pending Applications
2
Abandoned Applications
16

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 16527802 [patent_doc_number] => 20200401882 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-24 [patent_title] => LEARNING NEURAL NETWORKS OF PROGRAMMABLE DEVICE BLOCKS DIRECTLY WITH BACKPROPAGATION [patent_app_type] => utility [patent_app_number] => 16/449264 [patent_app_country] => US [patent_app_date] => 2019-06-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5980 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 74 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16449264 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/449264
LEARNING NEURAL NETWORKS OF PROGRAMMABLE DEVICE BLOCKS DIRECTLY WITH BACKPROPAGATION Jun 20, 2019 Pending
Array ( [id] => 16527012 [patent_doc_number] => 20200401092 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-24 [patent_title] => ENVIRONMENT CONTROLLER AND METHOD FOR PREDICTING CO2 LEVEL VARIATIONS BASED ON SOUND LEVEL MEASUREMENTS [patent_app_type] => utility [patent_app_number] => 16/445729 [patent_app_country] => US [patent_app_date] => 2019-06-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9148 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -44 [patent_words_short_claim] => 109 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16445729 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/445729
ENVIRONMENT CONTROLLER AND METHOD FOR PREDICTING CO2 LEVEL VARIATIONS BASED ON SOUND LEVEL MEASUREMENTS Jun 18, 2019 Abandoned
Array ( [id] => 14902407 [patent_doc_number] => 20190294969 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-09-26 [patent_title] => GENERATION OF NEURAL NETWORK CONTAINING MIDDLE LAYER BACKGROUND [patent_app_type] => utility [patent_app_number] => 16/440064 [patent_app_country] => US [patent_app_date] => 2019-06-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7867 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -6 [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] => 16440064 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/440064
GENERATION OF NEURAL NETWORK CONTAINING MIDDLE LAYER BACKGROUND Jun 12, 2019 Pending
Array ( [id] => 18873644 [patent_doc_number] => 11861459 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-01-02 [patent_title] => Automatic determination of suitable hyper-local data sources and features for modeling [patent_app_type] => utility [patent_app_number] => 16/437477 [patent_app_country] => US [patent_app_date] => 2019-06-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 9975 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 352 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16437477 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/437477
Automatic determination of suitable hyper-local data sources and features for modeling Jun 10, 2019 Issued
Array ( [id] => 16330803 [patent_doc_number] => 20200301769 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-24 [patent_title] => METHOD AND SYSTEM FOR DETERMINING AN ERROR THRESHOLD VALUE FOR MACHINE FAILURE PREDICTION [patent_app_type] => utility [patent_app_number] => 16/392709 [patent_app_country] => US [patent_app_date] => 2019-04-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7303 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 71 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16392709 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/392709
Method and system for determining an error threshold value for machine failure prediction Apr 23, 2019 Issued
Array ( [id] => 16363633 [patent_doc_number] => 20200320384 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-08 [patent_title] => ACCELERATING NEURON COMPUTATIONS IN ARTIFICIAL NEURAL NETWORKS BY SELECTING INPUT DATA [patent_app_type] => utility [patent_app_number] => 16/377532 [patent_app_country] => US [patent_app_date] => 2019-04-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10193 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 164 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16377532 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/377532
Accelerating neuron computations in artificial neural networks by selecting input data Apr 7, 2019 Issued
Array ( [id] => 14906535 [patent_doc_number] => 20190297033 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-09-26 [patent_title] => Techniques for improving turn-based automated counseling to alter behavior [patent_app_type] => utility [patent_app_number] => 16/360484 [patent_app_country] => US [patent_app_date] => 2019-03-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8929 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 173 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16360484 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/360484
Techniques for improving turn-based automated counseling to alter behavior Mar 20, 2019 Abandoned
Array ( [id] => 16315117 [patent_doc_number] => 20200293855 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-17 [patent_title] => TRAINING OF ARTIFICIAL NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/352922 [patent_app_country] => US [patent_app_date] => 2019-03-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7421 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 192 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16352922 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/352922
Training of artificial neural networks Mar 13, 2019 Issued
Array ( [id] => 15655011 [patent_doc_number] => 20200090036 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-03-19 [patent_title] => CLASSIFICATION DEVICE, CLASSIFICATION METHOD, AND COMPUTER PROGRAM PRODUCT [patent_app_type] => utility [patent_app_number] => 16/296557 [patent_app_country] => US [patent_app_date] => 2019-03-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5141 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -5 [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] => 16296557 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/296557
Classification device, classification method, and computer program product Mar 7, 2019 Issued
Array ( [id] => 16240728 [patent_doc_number] => 20200257962 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-08-13 [patent_title] => CONTROLLABLE AND INTERPRETABLE CONTENT CONVERSION [patent_app_type] => utility [patent_app_number] => 16/273973 [patent_app_country] => US [patent_app_date] => 2019-02-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8573 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 107 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16273973 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/273973
CONTROLLABLE AND INTERPRETABLE CONTENT CONVERSION Feb 11, 2019 Pending
Array ( [id] => 18479656 [patent_doc_number] => 11693392 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-07-04 [patent_title] => System for manufacturing dispatching using deep reinforcement and transfer learning [patent_app_type] => utility [patent_app_number] => 16/262778 [patent_app_country] => US [patent_app_date] => 2019-01-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 5689 [patent_no_of_claims] => 15 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 259 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16262778 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/262778
System for manufacturing dispatching using deep reinforcement and transfer learning Jan 29, 2019 Issued
Array ( [id] => 14507497 [patent_doc_number] => 20190197403 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-27 [patent_title] => RECURRENT NEURAL NETWORK AND TRAINING PROCESS FOR SAME [patent_app_type] => utility [patent_app_number] => 16/229050 [patent_app_country] => US [patent_app_date] => 2018-12-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11132 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 140 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16229050 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/229050
RECURRENT NEURAL NETWORK AND TRAINING PROCESS FOR SAME Dec 20, 2018 Abandoned
Array ( [id] => 14219451 [patent_doc_number] => 20190122110 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-04-25 [patent_title] => NEURAL NETWORK APPARATUS AND METHOD [patent_app_type] => utility [patent_app_number] => 16/168024 [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] => 8612 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -20 [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] => 16168024 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/168024
Neural network apparatus and method Oct 22, 2018 Issued
Array ( [id] => 15744191 [patent_doc_number] => 20200110984 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-09 [patent_title] => AVOIDING CYCLES IN NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/155036 [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] => 6997 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 156 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16155036 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/155036
Avoiding cycles in neural networks Oct 8, 2018 Issued
Array ( [id] => 17824908 [patent_doc_number] => 11429856 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-08-30 [patent_title] => Neural networks adaptive boosting using semi-supervised learning [patent_app_type] => utility [patent_app_number] => 16/128614 [patent_app_country] => US [patent_app_date] => 2018-09-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 7528 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 157 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16128614 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/128614
Neural networks adaptive boosting using semi-supervised learning Sep 11, 2018 Issued
Array ( [id] => 14473837 [patent_doc_number] => 20190188563 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-20 [patent_title] => SYSTEM [patent_app_type] => utility [patent_app_number] => 16/129161 [patent_app_country] => US [patent_app_date] => 2018-09-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13499 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -6 [patent_words_short_claim] => 256 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16129161 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/129161
SYSTEM Sep 11, 2018 Pending
Array ( [id] => 15183271 [patent_doc_number] => 20190362227 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-28 [patent_title] => HIGHLY PERFORMANT PIPELINE PARALLEL DEEP NEURAL NETWORK TRAINING [patent_app_type] => utility [patent_app_number] => 16/024369 [patent_app_country] => US [patent_app_date] => 2018-06-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7943 [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] => 16024369 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/024369
HIGHLY PERFORMANT PIPELINE PARALLEL DEEP NEURAL NETWORK TRAINING Jun 28, 2018 Pending
Array ( [id] => 18155320 [patent_doc_number] => 11568301 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2023-01-31 [patent_title] => Context-aware machine learning system [patent_app_type] => utility [patent_app_number] => 15/884660 [patent_app_country] => US [patent_app_date] => 2018-01-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 3894 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 140 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15884660 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/884660
Context-aware machine learning system Jan 30, 2018 Issued
Array ( [id] => 14658635 [patent_doc_number] => 20190236446 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-01 [patent_title] => OPTIMIZATION CONTROL TECHNOLOGY FOR BUILDING ENERGY CONSERVATION [patent_app_type] => utility [patent_app_number] => 15/882527 [patent_app_country] => US [patent_app_date] => 2018-01-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10096 [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] => 15882527 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/882527
Optimization control technology for building energy conservation Jan 28, 2018 Issued
Array ( [id] => 17573335 [patent_doc_number] => 11321608 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-05-03 [patent_title] => Synapse memory cell driver [patent_app_type] => utility [patent_app_number] => 15/875420 [patent_app_country] => US [patent_app_date] => 2018-01-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 7314 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 234 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15875420 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/875420
Synapse memory cell driver Jan 18, 2018 Issued
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