Peter D. Coughlan

Array ( [id] => 18357091 [patent_doc_number] => 11645495 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-05-09 [patent_title] => Edge calculation-oriented reparametric neural network architecture search method [patent_app_type] => utility [patent_app_number] => 17/888513 [patent_app_country] => US [patent_app_date] => 2022-08-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 3770 [patent_no_of_claims] => 10 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 703 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17888513 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17869643 [patent_doc_number] => 20220292380 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-15 [patent_title] => ADAPTIVE ANALYTICAL BEHAVIORAL AND HEALTH ASSISTANT SYSTEM AND RELATED METHOD OF USE [patent_app_type] => utility [patent_app_number] => 17/829489 [patent_app_country] => US [patent_app_date] => 2022-06-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10805 [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] => 17829489 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17847116 [patent_doc_number] => 11436494 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-09-06 [patent_title] => Optimal power flow computation method based on multi-task deep learning [patent_app_type] => utility [patent_app_number] => 17/717121 [patent_app_country] => US [patent_app_date] => 2022-04-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 1 [patent_figures_cnt] => 1 [patent_no_of_words] => 3357 [patent_no_of_claims] => 3 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 683 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17717121 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19045851 [patent_doc_number] => 11934966 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-19 [patent_title] => Building data platform with digital twin inferences [patent_app_type] => utility [patent_app_number] => 17/529118 [patent_app_country] => US [patent_app_date] => 2021-11-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 23 [patent_no_of_words] => 21727 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 321 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17529118 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17216869 [patent_doc_number] => 20210350207 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-11 [patent_title] => RECURRENT NEURAL NETWORKS FOR DATA ITEM GENERATION [patent_app_type] => utility [patent_app_number] => 17/384280 [patent_app_country] => US [patent_app_date] => 2021-07-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5601 [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] => 17384280 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17462795 [patent_doc_number] => 20220076101 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-10 [patent_title] => OBJECT FEATURE INFORMATION ACQUISITION, CLASSIFICATION, AND INFORMATION PUSHING METHODS AND APPARATUSES [patent_app_type] => utility [patent_app_number] => 17/361363 [patent_app_country] => US [patent_app_date] => 2021-06-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11500 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 191 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17361363 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18343050 [patent_doc_number] => 11640531 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-05-02 [patent_title] => Method, apparatus and device for updating convolutional neural network using GPU cluster [patent_app_type] => utility [patent_app_number] => 17/322626 [patent_app_country] => US [patent_app_date] => 2021-05-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 10 [patent_no_of_words] => 11462 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 294 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17322626 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17573339 [patent_doc_number] => 11321612 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-05-03 [patent_title] => Self-organizing partially ordered networks and soft-tying learned parameters, such as connection weights [patent_app_type] => utility [patent_app_number] => 17/068472 [patent_app_country] => US [patent_app_date] => 2020-10-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 31 [patent_figures_cnt] => 31 [patent_no_of_words] => 36323 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 250 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17068472 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17447084 [patent_doc_number] => 20220067589 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-03 [patent_title] => METHOD AND SYSTEM FOR TESTING MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 17/005007 [patent_app_country] => US [patent_app_date] => 2020-08-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6185 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 108 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17005007 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17017573 [patent_doc_number] => 11087217 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-08-10 [patent_title] => Directly connecting nodes of different copies on an unrolled recursive neural network [patent_app_type] => utility [patent_app_number] => 16/923234 [patent_app_country] => US [patent_app_date] => 2020-07-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 31 [patent_figures_cnt] => 31 [patent_no_of_words] => 34922 [patent_no_of_claims] => 28 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 363 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16923234 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16659743 [patent_doc_number] => 20210056380 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-02-25 [patent_title] => XOR AND EQUALITY ACTIVATION FUNCTIONS FOR NODES OF NODAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/922106 [patent_app_country] => US [patent_app_date] => 2020-07-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 34822 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -23 [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] => 16922106 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16608451 [patent_doc_number] => 10909461 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-02-02 [patent_title] => Attention neural networks with locality-sensitive hashing [patent_app_type] => utility [patent_app_number] => 16/870815 [patent_app_country] => US [patent_app_date] => 2020-05-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 7864 [patent_no_of_claims] => 24 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 155 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16870815 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16317377 [patent_doc_number] => 20200296115 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-17 [patent_title] => DETECTION OF MALWARE FEATURES IN A CONTENT ITEM [patent_app_type] => utility [patent_app_number] => 16/857018 [patent_app_country] => US [patent_app_date] => 2020-04-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11003 [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] => 16857018 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17039762 [patent_doc_number] => 20210256398 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-19 [patent_title] => ROBOTIC TOXICODENDRON WEEDING [patent_app_type] => utility [patent_app_number] => 16/793792 [patent_app_country] => US [patent_app_date] => 2020-02-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8698 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 127 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16793792 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18873651 [patent_doc_number] => 11861466 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-01-02 [patent_title] => Multi-machine distributed learning systems [patent_app_type] => utility [patent_app_number] => 16/719881 [patent_app_country] => US [patent_app_date] => 2019-12-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 6485 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 363 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16719881 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17402047 [patent_doc_number] => 20220044137 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-10 [patent_title] => METHOD AND APPARATUS FOR OBJECT PREFERENCE PREDICTION, AND COMPUTER READABLE MEDIUM [patent_app_type] => utility [patent_app_number] => 17/419152 [patent_app_country] => US [patent_app_date] => 2019-12-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10957 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 243 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17419152 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18356457 [patent_doc_number] => 11644856 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-05-09 [patent_title] => Energy consumption assessment [patent_app_type] => utility [patent_app_number] => 16/527477 [patent_app_country] => US [patent_app_date] => 2019-07-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 6 [patent_no_of_words] => 7077 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 318 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16527477 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17195323 [patent_doc_number] => 11164082 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-11-02 [patent_title] => Methods for using artificial neural network analysis on flow cytometry data for cancer diagnosis [patent_app_type] => utility [patent_app_number] => 16/433912 [patent_app_country] => US [patent_app_date] => 2019-06-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 19 [patent_figures_cnt] => 24 [patent_no_of_words] => 43929 [patent_no_of_claims] => 49 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 296 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16433912 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15655015 [patent_doc_number] => 20200090038 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-03-19 [patent_title] => MACHINE LEARNING MODEL REPOSITORY [patent_app_type] => utility [patent_app_number] => 16/396482 [patent_app_country] => US [patent_app_date] => 2019-04-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18096 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 294 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16396482 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14571181 [patent_doc_number] => 20190213197 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-07-11 [patent_title] => DOCUMENT RELEVANCY ANALYSIS WITHIN MACHINE LEARNING SYSTEMS [patent_app_type] => utility [patent_app_number] => 16/355654 [patent_app_country] => US [patent_app_date] => 2019-03-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5403 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 132 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16355654 [rel_patent_id] =>[rel_patent_doc_number] =>)