Sze-hon Kong

Array ( [id] => 19802960 [patent_doc_number] => 20250068885 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-02-27 [patent_title] => Integrated Multimodal Neural Network Platform for Generating Content based on Scalable Sensor Data [patent_app_type] => utility [patent_app_number] => 18/815639 [patent_app_country] => US [patent_app_date] => 2024-08-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 29384 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 153 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18815639 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19633589 [patent_doc_number] => 20240412038 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-12-12 [patent_title] => NETWORK FOR DETECTING EDGE CASES FOR USE IN TRAINING AUTONOMOUS VEHICLE CONTROL SYSTEMS [patent_app_type] => utility [patent_app_number] => 18/811340 [patent_app_country] => US [patent_app_date] => 2024-08-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17891 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -24 [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] => 18811340 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19588719 [patent_doc_number] => 20240386276 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-11-21 [patent_title] => NEURAL NETWORK OPTIMIZATION DEVICE FOR EDGE DEVICE MEETING ON-DEMAND INSTRUCTION AND METHOD USING THE SAME [patent_app_type] => utility [patent_app_number] => 18/786758 [patent_app_country] => US [patent_app_date] => 2024-07-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5841 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -6 [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] => 18786758 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19726216 [patent_doc_number] => 20250028967 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-01-23 [patent_title] => METHOD AND APPARATUS FOR TRAINING FEW-SHOT EVENT DETECTION MODEL BASED ON MULTILINGUAL PROMPT LEARNING [patent_app_type] => utility [patent_app_number] => 18/774585 [patent_app_country] => US [patent_app_date] => 2024-07-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13627 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 535 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18774585 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20152449 [patent_doc_number] => 20250252287 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-08-07 [patent_title] => EXTENDED LONG SHORT-TERM MEMORY NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 18/656787 [patent_app_country] => US [patent_app_date] => 2024-05-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12787 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 60 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18656787 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19451536 [patent_doc_number] => 20240311666 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-09-19 [patent_title] => COUNT-TYPE QUALITY VARIABLE PREDICTION METHOD BASED ON VARIATIONAL BAYESIAN GAUSSIAN-POISSON MIXED REGRESSION MODEL [patent_app_type] => utility [patent_app_number] => 18/488984 [patent_app_country] => US [patent_app_date] => 2023-10-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8468 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -2 [patent_words_short_claim] => 537 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18488984 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18925901 [patent_doc_number] => 20240028905 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-01-25 [patent_title] => ARTIFICIAL NEURAL NETWORK TRAINING USING FLEXIBLE FLOATING POINT TENSORS [patent_app_type] => utility [patent_app_number] => 18/478554 [patent_app_country] => US [patent_app_date] => 2023-09-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10157 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 56 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18478554 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18925901 [patent_doc_number] => 20240028905 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-01-25 [patent_title] => ARTIFICIAL NEURAL NETWORK TRAINING USING FLEXIBLE FLOATING POINT TENSORS [patent_app_type] => utility [patent_app_number] => 18/478554 [patent_app_country] => US [patent_app_date] => 2023-09-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10157 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 56 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18478554 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19886105 [patent_doc_number] => 12271823 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-04-08 [patent_title] => Training machine learning models by determining update rules using neural networks [patent_app_type] => utility [patent_app_number] => 18/180754 [patent_app_country] => US [patent_app_date] => 2023-03-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 6362 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 242 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18180754 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18311800 [patent_doc_number] => 20230115700 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-04-13 [patent_title] => AUTOMATED GENERATION OF MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 18/080407 [patent_app_country] => US [patent_app_date] => 2022-12-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11902 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 18080407 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18344520 [patent_doc_number] => 20230132630 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-05-04 [patent_title] => APPARATUS AND METHOD WITH NEURAL NETWORK TRAINING BASED ON KNOWLEDGE DISTILLATION [patent_app_type] => utility [patent_app_number] => 17/862779 [patent_app_country] => US [patent_app_date] => 2022-07-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7350 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [patent_words_short_claim] => 47 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17862779 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18344520 [patent_doc_number] => 20230132630 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-05-04 [patent_title] => APPARATUS AND METHOD WITH NEURAL NETWORK TRAINING BASED ON KNOWLEDGE DISTILLATION [patent_app_type] => utility [patent_app_number] => 17/862779 [patent_app_country] => US [patent_app_date] => 2022-07-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7350 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [patent_words_short_claim] => 47 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17862779 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18365851 [patent_doc_number] => 20230147442 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-05-11 [patent_title] => Modular Machine Learning Architecture [patent_app_type] => utility [patent_app_number] => 17/831738 [patent_app_country] => US [patent_app_date] => 2022-06-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12740 [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] => 17831738 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18660282 [patent_doc_number] => 20230306290 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-09-28 [patent_title] => APPROXIMATED OBJECTIVE FUNCTION FOR MONTE CARLO ALGORITHM [patent_app_type] => utility [patent_app_number] => 17/655773 [patent_app_country] => US [patent_app_date] => 2022-03-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8967 [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] => 17655773 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17659754 [patent_doc_number] => 20220180219 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-09 [patent_title] => AUTOMATIC ACQUISITION OF ELECTROPHYSICAL DATA POINTS USING AUTOMATED SETTING OF SIGNAL REJECTION CRITERIA BASED ON BIG DATA ANALYSIS [patent_app_type] => utility [patent_app_number] => 17/535550 [patent_app_country] => US [patent_app_date] => 2021-11-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11861 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 76 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17535550 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17659754 [patent_doc_number] => 20220180219 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-09 [patent_title] => AUTOMATIC ACQUISITION OF ELECTROPHYSICAL DATA POINTS USING AUTOMATED SETTING OF SIGNAL REJECTION CRITERIA BASED ON BIG DATA ANALYSIS [patent_app_type] => utility [patent_app_number] => 17/535550 [patent_app_country] => US [patent_app_date] => 2021-11-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11861 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 76 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17535550 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18333543 [patent_doc_number] => 20230125491 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-04-27 [patent_title] => WORKLOAD MIGRATION [patent_app_type] => utility [patent_app_number] => 17/509680 [patent_app_country] => US [patent_app_date] => 2021-10-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8201 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -20 [patent_words_short_claim] => 65 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17509680 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17294595 [patent_doc_number] => 20210390434 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-16 [patent_title] => MACHINE LEARNING ERROR REPORTING [patent_app_type] => utility [patent_app_number] => 17/344013 [patent_app_country] => US [patent_app_date] => 2021-06-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18268 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 72 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17344013 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17294616 [patent_doc_number] => 20210390455 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-16 [patent_title] => SYSTEMS AND METHODS FOR MANAGING MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 17/344252 [patent_app_country] => US [patent_app_date] => 2021-06-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 27458 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [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] => 17344252 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17277025 [patent_doc_number] => 20210383223 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-09 [patent_title] => Joint Architecture And Hyper-Parameter Search For Machine Learning Models [patent_app_type] => utility [patent_app_number] => 17/337834 [patent_app_country] => US [patent_app_date] => 2021-06-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7076 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 245 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17337834 [rel_patent_id] =>[rel_patent_doc_number] =>)