Shane D. Woolwine

Array ( [id] => 18905029 [patent_doc_number] => 20240020514 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-01-18 [patent_title] => IMPROPER NEURAL NETWORK INPUT DETECTION AND HANDLING [patent_app_type] => utility [patent_app_number] => 18/143970 [patent_app_country] => US [patent_app_date] => 2023-05-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10936 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 18143970 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18905029 [patent_doc_number] => 20240020514 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-01-18 [patent_title] => IMPROPER NEURAL NETWORK INPUT DETECTION AND HANDLING [patent_app_type] => utility [patent_app_number] => 18/143970 [patent_app_country] => US [patent_app_date] => 2023-05-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10936 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 18143970 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18585084 [patent_doc_number] => 20230267348 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-08-24 [patent_title] => COMPUTER-BASED SYSTEMS CONFIGURED FOR ENTITY RESOLUTION AND INDEXING OF ENTITY ACTIVITY [patent_app_type] => utility [patent_app_number] => 18/309306 [patent_app_country] => US [patent_app_date] => 2023-04-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18887 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 202 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18309306 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19015351 [patent_doc_number] => 11922286 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-03-05 [patent_title] => Recurrent neural networks to predict user requests [patent_app_type] => utility [patent_app_number] => 18/297420 [patent_app_country] => US [patent_app_date] => 2023-04-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 13 [patent_no_of_words] => 6883 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 214 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18297420 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19015375 [patent_doc_number] => 11922310 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-03-05 [patent_title] => Forecasting activity in software applications using machine learning models and multidimensional time-series data [patent_app_type] => utility [patent_app_number] => 18/194018 [patent_app_country] => US [patent_app_date] => 2023-03-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 8455 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 150 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18194018 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19045857 [patent_doc_number] => 11934972 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-19 [patent_title] => Configuration assessment based on inventory [patent_app_type] => utility [patent_app_number] => 18/128169 [patent_app_country] => US [patent_app_date] => 2023-03-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 11638 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 151 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18128169 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18781317 [patent_doc_number] => 11823062 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2023-11-21 [patent_title] => Unsupervised reinforcement learning method and apparatus based on Wasserstein distance [patent_app_type] => utility [patent_app_number] => 18/124559 [patent_app_country] => US [patent_app_date] => 2023-03-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 5 [patent_no_of_words] => 3934 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 97 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18124559 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19451501 [patent_doc_number] => 20240311631 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-09-19 [patent_title] => OPERATIONAL NEURAL NETWORK PERFORMANCE VIA FEATURE SPACE ANALYSIS [patent_app_type] => utility [patent_app_number] => 18/184433 [patent_app_country] => US [patent_app_date] => 2023-03-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13065 [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] => 18184433 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19451501 [patent_doc_number] => 20240311631 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-09-19 [patent_title] => OPERATIONAL NEURAL NETWORK PERFORMANCE VIA FEATURE SPACE ANALYSIS [patent_app_type] => utility [patent_app_number] => 18/184433 [patent_app_country] => US [patent_app_date] => 2023-03-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13065 [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] => 18184433 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19420191 [patent_doc_number] => 20240296314 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-09-05 [patent_title] => GENERATIVE ARTIFICIAL INTELLIGENCE (AI) SYSTEM [patent_app_type] => utility [patent_app_number] => 18/178234 [patent_app_country] => US [patent_app_date] => 2023-03-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14531 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 88 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18178234 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19420191 [patent_doc_number] => 20240296314 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-09-05 [patent_title] => GENERATIVE ARTIFICIAL INTELLIGENCE (AI) SYSTEM [patent_app_type] => utility [patent_app_number] => 18/178234 [patent_app_country] => US [patent_app_date] => 2023-03-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14531 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 88 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18178234 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18966497 [patent_doc_number] => 11900268 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-02-13 [patent_title] => System and methods for modular completion of a pecuniary-related activity [patent_app_type] => utility [patent_app_number] => 18/106263 [patent_app_country] => US [patent_app_date] => 2023-02-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 13878 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 290 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18106263 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18750662 [patent_doc_number] => 11809976 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2023-11-07 [patent_title] => Machine learning model with layer level uncertainty metrics [patent_app_type] => utility [patent_app_number] => 18/102247 [patent_app_country] => US [patent_app_date] => 2023-01-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 11569 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 126 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18102247 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18803442 [patent_doc_number] => 11836601 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-12-05 [patent_title] => Systems using hash keys to preserve privacy across multiple tasks [patent_app_type] => utility [patent_app_number] => 18/156997 [patent_app_country] => US [patent_app_date] => 2023-01-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 7 [patent_no_of_words] => 10571 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 81 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18156997 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18539796 [patent_doc_number] => 20230244904 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-08-03 [patent_title] => Neural Architecture Search with Factorized Hierarchical Search Space [patent_app_type] => utility [patent_app_number] => 18/154321 [patent_app_country] => US [patent_app_date] => 2023-01-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12225 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [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] => 18154321 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18378605 [patent_doc_number] => 20230153693 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-05-18 [patent_title] => LIVESTOCK AND FEEDLOT DATA COLLECTION AND PROCESSING USING UHF-BAND INTERROGATION OF RADIO FREQUENCY IDENTIFICATION TAGS FOR FEEDLOT ARRIVAL AND RISK ASSESSMENT [patent_app_type] => utility [patent_app_number] => 18/094873 [patent_app_country] => US [patent_app_date] => 2023-01-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7307 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -21 [patent_words_short_claim] => 350 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18094873 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18622841 [patent_doc_number] => 11755888 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2023-09-12 [patent_title] => Method and system for accelerating score-based generative models with preconditioned diffusion sampling [patent_app_type] => utility [patent_app_number] => 18/151923 [patent_app_country] => US [patent_app_date] => 2023-01-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 3 [patent_figures_cnt] => 7 [patent_no_of_words] => 8298 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 161 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18151923 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18360952 [patent_doc_number] => 20230142543 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-05-11 [patent_title] => AUGMENTED KNOWLEDGE BASE AND REASONING WITH UNCERTAINTIES AND/OR INCOMPLETENESS [patent_app_type] => utility [patent_app_number] => 18/151203 [patent_app_country] => US [patent_app_date] => 2023-01-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 21406 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 358 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18151203 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19284291 [patent_doc_number] => 20240220767 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-07-04 [patent_title] => CANDIDATE DATA POINTS SELECTION SYSTEM FOR LABELING UNLABELED DATA POINTS [patent_app_type] => utility [patent_app_number] => 18/092493 [patent_app_country] => US [patent_app_date] => 2023-01-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6973 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 129 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18092493 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18487382 [patent_doc_number] => 20230214728 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-07-06 [patent_title] => METHOD AND A SYSTEM OF DETERMINING LIDAR DATA DEGRADATION DEGREE [patent_app_type] => utility [patent_app_number] => 18/087213 [patent_app_country] => US [patent_app_date] => 2022-12-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 22474 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 327 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18087213 [rel_patent_id] =>[rel_patent_doc_number] =>)