Michael P. Mcfadden

Array ( [id] => 16802554 [patent_doc_number] => 10997503 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-05-04 [patent_title] => Computationally efficient neural network architecture search [patent_app_type] => utility [patent_app_number] => 16/447866 [patent_app_country] => US [patent_app_date] => 2019-06-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 9416 [patent_no_of_claims] => 26 [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] => 16447866 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14841377 [patent_doc_number] => 20190279089 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-09-12 [patent_title] => METHOD AND APPARATUS FOR NEURAL NETWORK PRUNING [patent_app_type] => utility [patent_app_number] => 16/416142 [patent_app_country] => US [patent_app_date] => 2019-05-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7621 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -20 [patent_words_short_claim] => 112 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16416142 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15920403 [patent_doc_number] => 10657445 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-05-19 [patent_title] => Systems and methods for training and executing a neural network for collaborative monitoring of resource usage [patent_app_type] => utility [patent_app_number] => 16/414540 [patent_app_country] => US [patent_app_date] => 2019-05-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 10827 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 297 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16414540 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19925273 [patent_doc_number] => 12299559 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-05-13 [patent_title] => Neural network processing element of accelerator tile [patent_app_type] => utility [patent_app_number] => 17/052178 [patent_app_country] => US [patent_app_date] => 2019-04-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 16 [patent_no_of_words] => 3780 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 139 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17052178 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14720819 [patent_doc_number] => 20190251473 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-15 [patent_title] => Cognitive System Virtual Corpus Training and Utilization [patent_app_type] => utility [patent_app_number] => 16/391398 [patent_app_country] => US [patent_app_date] => 2019-04-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13702 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 170 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16391398 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16577813 [patent_doc_number] => 20210012214 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-14 [patent_title] => LEARNING APPARATUS, LEARNING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM [patent_app_type] => utility [patent_app_number] => 16/982781 [patent_app_country] => US [patent_app_date] => 2019-03-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7241 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 89 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16982781 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16315926 [patent_doc_number] => 20200294664 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-17 [patent_title] => ADDING NEW ELECTRONIC EVENTS INTO AN ELECTRONIC USER PROFILE USING A LANGUAGE-INDEPENDENT DATA FORMAT [patent_app_type] => utility [patent_app_number] => 16/353816 [patent_app_country] => US [patent_app_date] => 2019-03-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6871 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 25 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16353816 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16315138 [patent_doc_number] => 20200293876 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-17 [patent_title] => COMPRESSION OF DEEP NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/351712 [patent_app_country] => US [patent_app_date] => 2019-03-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7727 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 75 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16351712 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16315125 [patent_doc_number] => 20200293863 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-17 [patent_title] => SYSTEM AND METHOD FOR EFFICIENT UTILIZATION OF MULTIPLIERS IN NEURAL-NETWORK COMPUTATIONS [patent_app_type] => utility [patent_app_number] => 16/298022 [patent_app_country] => US [patent_app_date] => 2019-03-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6549 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 71 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16298022 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18592439 [patent_doc_number] => 11741342 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-08-29 [patent_title] => Resource-efficient neural architects [patent_app_type] => utility [patent_app_number] => 16/297412 [patent_app_country] => US [patent_app_date] => 2019-03-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 15 [patent_no_of_words] => 9221 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 279 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16297412 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16300220 [patent_doc_number] => 20200285943 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-10 [patent_title] => Optimizing Hierarchical Classification with Adaptive Node Collapses [patent_app_type] => utility [patent_app_number] => 16/291263 [patent_app_country] => US [patent_app_date] => 2019-03-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13171 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [patent_words_short_claim] => 187 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16291263 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15441017 [patent_doc_number] => 20200034692 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-01-30 [patent_title] => MACHINE LEARNING SYSTEM AND METHOD FOR COPING WITH POTENTIAL OUTLIERS AND PERFECT LEARNING IN CONCEPT-DRIFTING ENVIRONMENT [patent_app_type] => utility [patent_app_number] => 16/278626 [patent_app_country] => US [patent_app_date] => 2019-02-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8485 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 184 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16278626 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18303677 [patent_doc_number] => 11625583 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-04-11 [patent_title] => Quality monitoring and hidden quantization in artificial neural network computations [patent_app_type] => utility [patent_app_number] => 16/274426 [patent_app_country] => US [patent_app_date] => 2019-02-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 10 [patent_no_of_words] => 8115 [patent_no_of_claims] => 23 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 156 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16274426 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16225457 [patent_doc_number] => 20200250574 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-08-06 [patent_title] => TECHNIQUES FOR BIMODAL LEARNING IN A FINANCIAL CONTEXT [patent_app_type] => utility [patent_app_number] => 16/268480 [patent_app_country] => US [patent_app_date] => 2019-02-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14256 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 163 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16268480 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19596181 [patent_doc_number] => 12154029 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-11-26 [patent_title] => Continual reinforcement learning with a multi-task agent [patent_app_type] => utility [patent_app_number] => 16/268414 [patent_app_country] => US [patent_app_date] => 2019-02-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 8054 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 594 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16268414 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14689965 [patent_doc_number] => 20190244098 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-08 [patent_title] => OPTIMIZATION SYSTEM, OPTIMIZATION APPARATUS, AND OPTIMIZATION SYSTEM CONTROL METHOD [patent_app_type] => utility [patent_app_number] => 16/266165 [patent_app_country] => US [patent_app_date] => 2019-02-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10963 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -4 [patent_words_short_claim] => 186 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16266165 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16225395 [patent_doc_number] => 20200250512 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-08-06 [patent_title] => HELLINGER DISTANCE FOR MEASURING ACCURACIES OF MEAN AND STANDARD DEVIATION PREDICTION OF DYNAMIC BOLTZMANN MACHINE [patent_app_type] => utility [patent_app_number] => 16/264863 [patent_app_country] => US [patent_app_date] => 2019-02-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7128 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16264863 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18331083 [patent_doc_number] => 11636330 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-04-25 [patent_title] => Systems and methods for classification using structured and unstructured attributes [patent_app_type] => utility [patent_app_number] => 16/262620 [patent_app_country] => US [patent_app_date] => 2019-01-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 11832 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 404 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16262620 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16559574 [patent_doc_number] => 20210004723 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-07 [patent_title] => LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM [patent_app_type] => utility [patent_app_number] => 16/982798 [patent_app_country] => US [patent_app_date] => 2019-01-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8048 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -7 [patent_words_short_claim] => 232 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16982798 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16208931 [patent_doc_number] => 20200241921 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-30 [patent_title] => BUILDING NEURAL NETWORKS FOR RESOURCE ALLOCATION FOR ITERATIVE WORKLOADS USING REINFORCEMENT LEARNING [patent_app_type] => utility [patent_app_number] => 16/259244 [patent_app_country] => US [patent_app_date] => 2019-01-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8260 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 254 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16259244 [rel_patent_id] =>[rel_patent_doc_number] =>)