Edna Wong

Array ( [id] => 17202593 [patent_doc_number] => 20210342688 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-04 [patent_title] => NEURAL NETWORK TRAINING METHOD, DEVICE AND STORAGE MEDIUM BASED ON MEMORY SCORE [patent_app_type] => utility [patent_app_number] => 17/226596 [patent_app_country] => US [patent_app_date] => 2021-04-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7893 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 213 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17226596 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17246069 [patent_doc_number] => 20210365813 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-25 [patent_title] => MANAGEMENT COMPUTER, MANAGEMENT PROGRAM, AND MANAGEMENT METHOD [patent_app_type] => utility [patent_app_number] => 17/209341 [patent_app_country] => US [patent_app_date] => 2021-03-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8000 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 17209341 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17869627 [patent_doc_number] => 20220292364 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-15 [patent_title] => DEVICE AND METHOD FOR RANDOM WALK SIMULATION [patent_app_type] => utility [patent_app_number] => 17/200003 [patent_app_country] => US [patent_app_date] => 2021-03-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7554 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [patent_words_short_claim] => 141 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17200003 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17173029 [patent_doc_number] => 20210326700 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-10-21 [patent_title] => NEURAL NETWORK OPTIMIZATION [patent_app_type] => utility [patent_app_number] => 17/199976 [patent_app_country] => US [patent_app_date] => 2021-03-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6780 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -2 [patent_words_short_claim] => 284 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17199976 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17868253 [patent_doc_number] => 20220290989 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-15 [patent_title] => PREDICTING GEOSPATIAL MEASURES [patent_app_type] => utility [patent_app_number] => 17/200023 [patent_app_country] => US [patent_app_date] => 2021-03-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5948 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 103 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17200023 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17869593 [patent_doc_number] => 20220292330 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-15 [patent_title] => GENERATION AND APPLICATION OF LOCATION EMBEDDINGS [patent_app_type] => utility [patent_app_number] => 17/200097 [patent_app_country] => US [patent_app_date] => 2021-03-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5685 [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] => 17200097 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16902875 [patent_doc_number] => 20210181791 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-17 [patent_title] => SYSTEM, METHOD, AND RECORDING MEDIUM FOR PREDICTING COGNITIVE STATES OF A SENDER OF AN ELECTRONIC MESSAGE [patent_app_type] => utility [patent_app_number] => 17/183716 [patent_app_country] => US [patent_app_date] => 2021-02-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6078 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 83 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17183716 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17009941 [patent_doc_number] => 20210241102 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-05 [patent_title] => TRAINING METHOD FOR A GENERATOR NEURAL NETWORK IMPOSING DATA EQUIVARIANCES [patent_app_type] => utility [patent_app_number] => 17/149430 [patent_app_country] => US [patent_app_date] => 2021-01-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14526 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 185 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17149430 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17737109 [patent_doc_number] => 20220222569 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-07-14 [patent_title] => DATA PROCESSING [patent_app_type] => utility [patent_app_number] => 17/145804 [patent_app_country] => US [patent_app_date] => 2021-01-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9597 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 93 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17145804 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16994494 [patent_doc_number] => 20210232914 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-07-29 [patent_title] => METHOD FOR BUILDING A HEART RHYTHM CLASSIFICATION MODEL [patent_app_type] => utility [patent_app_number] => 17/145000 [patent_app_country] => US [patent_app_date] => 2021-01-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3570 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -6 [patent_words_short_claim] => 427 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17145000 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18982658 [patent_doc_number] => 11907837 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-02-20 [patent_title] => Selecting actions from large discrete action sets using reinforcement learning [patent_app_type] => utility [patent_app_number] => 17/131500 [patent_app_country] => US [patent_app_date] => 2020-12-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 5937 [patent_no_of_claims] => 24 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 299 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17131500 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16919261 [patent_doc_number] => 20210192353 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-24 [patent_title] => PROCESSING UNIT, PROCESSOR CORE, NEURAL NETWORK TRAINING MACHINE, AND METHOD [patent_app_type] => utility [patent_app_number] => 17/129148 [patent_app_country] => US [patent_app_date] => 2020-12-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12426 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 123 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17129148 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17644012 [patent_doc_number] => 20220171750 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-02 [patent_title] => CONTENT MANAGEMENT SYSTEM FOR TRAINED MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 17/107763 [patent_app_country] => US [patent_app_date] => 2020-11-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8572 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 280 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17107763 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17581752 [patent_doc_number] => 20220138607 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-05 [patent_title] => METHODS AND APPARATUS FOR IMPROVING SIGNAL-TO-NOISE PERFORMANCE IN QUANTUM COMPUTATION [patent_app_type] => utility [patent_app_number] => 16/949556 [patent_app_country] => US [patent_app_date] => 2020-11-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10382 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 221 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16949556 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16811187 [patent_doc_number] => 20210133742 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-06 [patent_title] => DETECTION OF SECURITY THREATS IN A NETWORK ENVIRONMENT [patent_app_type] => utility [patent_app_number] => 17/084173 [patent_app_country] => US [patent_app_date] => 2020-10-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6343 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 121 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17084173 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16751826 [patent_doc_number] => 20210103837 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-08 [patent_title] => SYSTEMS AND METHODS FOR GUIDED USER ACTIONS [patent_app_type] => utility [patent_app_number] => 17/063709 [patent_app_country] => US [patent_app_date] => 2020-10-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7120 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 268 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17063709 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16729719 [patent_doc_number] => 20210096866 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-01 [patent_title] => INSTRUCTION LENGTH DECODING [patent_app_type] => utility [patent_app_number] => 17/062556 [patent_app_country] => US [patent_app_date] => 2020-10-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 21198 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [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] => 17062556 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16543937 [patent_doc_number] => 20200410352 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-31 [patent_title] => SYSTEM AND METHODS FOR PROCESSING SPATIAL DATA [patent_app_type] => utility [patent_app_number] => 17/021923 [patent_app_country] => US [patent_app_date] => 2020-09-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20050 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 219 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17021923 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18038895 [patent_doc_number] => 20220383111 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-12-01 [patent_title] => SELECTIVE TRAINING OF DEEP LEARNING MODULES [patent_app_type] => utility [patent_app_number] => 17/753727 [patent_app_country] => US [patent_app_date] => 2020-09-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 19622 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -95 [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] => 17753727 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17462851 [patent_doc_number] => 20220076157 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-10 [patent_title] => DATA ANALYSIS SYSTEM USING ARTIFICIAL INTELLIGENCE [patent_app_type] => utility [patent_app_number] => 17/013106 [patent_app_country] => US [patent_app_date] => 2020-09-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6439 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 199 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17013106 [rel_patent_id] =>[rel_patent_doc_number] =>)