Search

Hannah J. Pak

Examiner (ID: 7389, Phone: (571)270-5456 , Office: P/1764 )

Most Active Art Unit
1764
Art Unit(s)
1796, 1764
Total Applications
1287
Issued Applications
948
Pending Applications
88
Abandoned Applications
275

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 14783235 [patent_doc_number] => 20190266515 [patent_country] => US [patent_kind] => A9 [patent_issue_date] => 2019-08-29 [patent_title] => System with Hybrid Communication Strategy for Large-Scale Distributed Deep Learning [patent_app_type] => utility [patent_app_number] => 15/814394 [patent_app_country] => US [patent_app_date] => 2017-11-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4918 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [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] => 15814394 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/814394
System with hybrid communication strategy for large-scale distributed deep learning Nov 15, 2017 Issued
Array ( [id] => 13483943 [patent_doc_number] => 20180293514 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-10-11 [patent_title] => NEW RULE CREATION USING MDP AND INVERSE REINFORCEMENT LEARNING [patent_app_type] => utility [patent_app_number] => 15/812002 [patent_app_country] => US [patent_app_date] => 2017-11-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6506 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 159 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15812002 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/812002
Rule creation using MDP and inverse reinforcement learning Nov 13, 2017 Issued
Array ( [id] => 15284711 [patent_doc_number] => 10515020 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2019-12-24 [patent_title] => Marking storage keys to indicate memory used to back address translation structures [patent_app_type] => utility [patent_app_number] => 15/801359 [patent_app_country] => US [patent_app_date] => 2017-11-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 19 [patent_no_of_words] => 15020 [patent_no_of_claims] => 10 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 111 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15801359 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/801359
Marking storage keys to indicate memory used to back address translation structures Nov 1, 2017 Issued
Array ( [id] => 14982673 [patent_doc_number] => 10445248 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2019-10-15 [patent_title] => Host page management using active guest page table indicators [patent_app_type] => utility [patent_app_number] => 15/801360 [patent_app_country] => US [patent_app_date] => 2017-11-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 26 [patent_figures_cnt] => 37 [patent_no_of_words] => 23164 [patent_no_of_claims] => 11 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 123 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15801360 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/801360
Host page management using active guest page table indicators Nov 1, 2017 Issued
Array ( [id] => 12869086 [patent_doc_number] => 20180181537 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-06-28 [patent_title] => MULTITEMPORAL DATA ANALYSIS [patent_app_type] => utility [patent_app_number] => 15/790206 [patent_app_country] => US [patent_app_date] => 2017-10-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6933 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 146 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15790206 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/790206
Multitemporal data analysis Oct 22, 2017 Issued
Array ( [id] => 17195317 [patent_doc_number] => 11164076 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-11-02 [patent_title] => Intelligent regularization of neural network architectures [patent_app_type] => utility [patent_app_number] => 15/789898 [patent_app_country] => US [patent_app_date] => 2017-10-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 11729 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 119 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15789898 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/789898
Intelligent regularization of neural network architectures Oct 19, 2017 Issued
Array ( [id] => 12689857 [patent_doc_number] => 20180121785 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-05-03 [patent_title] => CONTEXT-AWARE ATTENTION-BASED NEURAL NETWORK FOR INTERACTIVE QUESTION ANSWERING [patent_app_type] => utility [patent_app_number] => 15/789614 [patent_app_country] => US [patent_app_date] => 2017-10-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5939 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 118 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15789614 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/789614
Context-aware attention-based neural network for interactive question answering Oct 19, 2017 Issued
Array ( [id] => 16819160 [patent_doc_number] => 11003995 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-05-11 [patent_title] => Semi-supervised regression with generative adversarial networks [patent_app_type] => utility [patent_app_number] => 15/789518 [patent_app_country] => US [patent_app_date] => 2017-10-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 9 [patent_no_of_words] => 7076 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 87 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15789518 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/789518
Semi-supervised regression with generative adversarial networks Oct 19, 2017 Issued
Array ( [id] => 17062369 [patent_doc_number] => 11106975 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-08-31 [patent_title] => Fast neural network implementations by increasing parallelism of cell computations [patent_app_type] => utility [patent_app_number] => 15/789241 [patent_app_country] => US [patent_app_date] => 2017-10-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 13 [patent_figures_cnt] => 15 [patent_no_of_words] => 12060 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 295 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15789241 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/789241
Fast neural network implementations by increasing parallelism of cell computations Oct 19, 2017 Issued
Array ( [id] => 14219471 [patent_doc_number] => 20190122120 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-04-25 [patent_title] => SELF-TRAINING METHOD AND SYSTEM FOR SEMI-SUPERVISED LEARNING WITH GENERATIVE ADVERSARIAL NETWORKS [patent_app_type] => utility [patent_app_number] => 15/789628 [patent_app_country] => US [patent_app_date] => 2017-10-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6447 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 126 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15789628 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/789628
Self-training method and system for semi-supervised learning with generative adversarial networks Oct 19, 2017 Issued
Array ( [id] => 14218901 [patent_doc_number] => 20190121835 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-04-25 [patent_title] => LIMITED DURATION SUPPLY FOR HEURISTIC ALGORITHMS [patent_app_type] => utility [patent_app_number] => 15/789557 [patent_app_country] => US [patent_app_date] => 2017-10-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4568 [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] => 15789557 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/789557
Limited duration supply for heuristic algorithms Oct 19, 2017 Issued
Array ( [id] => 12180636 [patent_doc_number] => 20180039572 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-02-08 [patent_title] => 'METHODS AND APPARATUSES FOR REQUESTING READY STATUS INFORMATION FROM A MEMORY' [patent_app_type] => utility [patent_app_number] => 15/786408 [patent_app_country] => US [patent_app_date] => 2017-10-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 6689 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 0 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15786408 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/786408
Methods and apparatuses for requesting ready status information from a memory Oct 16, 2017 Issued
Array ( [id] => 12798421 [patent_doc_number] => 20180157976 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-06-07 [patent_title] => DEVICE AND METHOD FOR DETERMINING CONVOLUTIONAL NEURAL NETWORK MODEL [patent_app_type] => utility [patent_app_number] => 15/723457 [patent_app_country] => US [patent_app_date] => 2017-10-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10232 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 80 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15723457 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/723457
Device and method for determining convolutional neural network model Oct 2, 2017 Issued
Array ( [id] => 12613254 [patent_doc_number] => 20180096248 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-04-05 [patent_title] => METHODS FOR SECURE LEARNING OF PARAMETERS OF A CONVOLUTION NEURAL NETWORK, AND FOR SECURE INPUT DATA CLASSIFICATION [patent_app_type] => utility [patent_app_number] => 15/722490 [patent_app_country] => US [patent_app_date] => 2017-10-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4426 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [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] => 15722490 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/722490
Methods for secure learning of parameters of a convolution neural network, and for secure input data classification Oct 1, 2017 Issued
Array ( [id] => 16819155 [patent_doc_number] => 11003990 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-05-11 [patent_title] => Controlling memory area for training a neural network [patent_app_type] => utility [patent_app_number] => 15/722270 [patent_app_country] => US [patent_app_date] => 2017-10-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 20 [patent_no_of_words] => 17315 [patent_no_of_claims] => 5 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 262 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15722270 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/722270
Controlling memory area for training a neural network Oct 1, 2017 Issued
Array ( [id] => 12531807 [patent_doc_number] => 10007456 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2018-06-26 [patent_title] => Efficient scrubbing of mirrored memory [patent_app_type] => utility [patent_app_number] => 15/718703 [patent_app_country] => US [patent_app_date] => 2017-09-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 6427 [patent_no_of_claims] => 1 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 386 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15718703 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/718703
Efficient scrubbing of mirrored memory Sep 27, 2017 Issued
Array ( [id] => 16864849 [patent_doc_number] => 11023593 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-06-01 [patent_title] => Protecting cognitive systems from model stealing attacks [patent_app_type] => utility [patent_app_number] => 15/714514 [patent_app_country] => US [patent_app_date] => 2017-09-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 8 [patent_no_of_words] => 17129 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 212 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15714514 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/714514
Protecting cognitive systems from model stealing attacks Sep 24, 2017 Issued
Array ( [id] => 16987327 [patent_doc_number] => 11074503 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-07-27 [patent_title] => Execution of a genetic algorithm having variable epoch size with selective execution of a training algorithm [patent_app_type] => utility [patent_app_number] => 15/697158 [patent_app_country] => US [patent_app_date] => 2017-09-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 20188 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 149 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15697158 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/697158
Execution of a genetic algorithm having variable epoch size with selective execution of a training algorithm Sep 5, 2017 Issued
Array ( [id] => 16667703 [patent_doc_number] => 10936952 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-03-02 [patent_title] => Detecting content items in violation of an online system policy using templates based on semantic vectors representing content items [patent_app_type] => utility [patent_app_number] => 15/694339 [patent_app_country] => US [patent_app_date] => 2017-09-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 11 [patent_no_of_words] => 13687 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 169 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15694339 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/694339
Detecting content items in violation of an online system policy using templates based on semantic vectors representing content items Aug 31, 2017 Issued
Array ( [id] => 14023193 [patent_doc_number] => 20190073590 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-03-07 [patent_title] => Sparse Neural Network Training Optimization [patent_app_type] => utility [patent_app_number] => 15/694742 [patent_app_country] => US [patent_app_date] => 2017-09-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 27085 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 58 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15694742 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/694742
Sparse neural network training optimization Aug 31, 2017 Issued
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