Alan S. Chen

Array ( [id] => 19212855 [patent_doc_number] => 12001918 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-06-04 [patent_title] => Classification using quantum neural networks [patent_app_type] => utility [patent_app_number] => 16/962348 [patent_app_country] => US [patent_app_date] => 2019-01-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 6 [patent_no_of_words] => 9302 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 135 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16962348 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14283301 [patent_doc_number] => 20190138935 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-05-09 [patent_title] => CLASSIFICATION OF MEMBERS IN A SOCIAL NETWORKING SERVICE [patent_app_type] => utility [patent_app_number] => 16/237306 [patent_app_country] => US [patent_app_date] => 2018-12-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4801 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16237306 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16117653 [patent_doc_number] => 20200210849 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-02 [patent_title] => TRANSACTION ANOMALY DETECTION USING ARTIFICIAL INTELLIGENCE TECHNIQUES [patent_app_type] => utility [patent_app_number] => 16/237114 [patent_app_country] => US [patent_app_date] => 2018-12-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6552 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 91 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16237114 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17802871 [patent_doc_number] => 11417179 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-08-16 [patent_title] => Using image and voice tracking to contextually respond to a user in a shopping environment [patent_app_type] => utility [patent_app_number] => 16/236344 [patent_app_country] => US [patent_app_date] => 2018-12-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 76 [patent_figures_cnt] => 128 [patent_no_of_words] => 90740 [patent_no_of_claims] => 11 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 188 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16236344 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16879596 [patent_doc_number] => 11029741 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-06-08 [patent_title] => Deactivating a display of a smart display device based on a vision-based mechanism [patent_app_type] => utility [patent_app_number] => 16/235370 [patent_app_country] => US [patent_app_date] => 2018-12-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 5934 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 190 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16235370 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14236237 [patent_doc_number] => 20190130291 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-05-02 [patent_title] => DYNAMIC RECONFIGURATION WITH PARTIALLY RESIDENT AGENTS [patent_app_type] => utility [patent_app_number] => 16/228882 [patent_app_country] => US [patent_app_date] => 2018-12-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15664 [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] => 16228882 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17667524 [patent_doc_number] => 11361225 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-06-14 [patent_title] => Neural network architecture for attention based efficient model adaptation [patent_app_type] => utility [patent_app_number] => 16/224361 [patent_app_country] => US [patent_app_date] => 2018-12-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 11 [patent_no_of_words] => 13455 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 167 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16224361 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17558676 [patent_doc_number] => 11315393 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-04-26 [patent_title] => Scenario characterization using machine learning user tracking and profiling for a cashier-less retail store [patent_app_type] => utility [patent_app_number] => 16/221541 [patent_app_country] => US [patent_app_date] => 2018-12-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 76 [patent_figures_cnt] => 128 [patent_no_of_words] => 90757 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 219 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16221541 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16078671 [patent_doc_number] => 20200193322 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-06-18 [patent_title] => SMART COPY OPTIMIZATION [patent_app_type] => utility [patent_app_number] => 16/220518 [patent_app_country] => US [patent_app_date] => 2018-12-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10226 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [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] => 16220518 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14219455 [patent_doc_number] => 20190122112 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-04-25 [patent_title] => SYSTEM AND METHOD FOR TEACHING COMPOSITIONALITY TO CONVOLUTIONAL NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/221104 [patent_app_country] => US [patent_app_date] => 2018-12-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3598 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 190 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16221104 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16078623 [patent_doc_number] => 20200193298 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-06-18 [patent_title] => ACCURATELY IDENTIFYING MEMBERS OF TRAINING DATA IN VARIATIONAL AUTOENCODERS BY RECONSTRUCTION ERROR [patent_app_type] => utility [patent_app_number] => 16/219645 [patent_app_country] => US [patent_app_date] => 2018-12-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5393 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 113 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16219645 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17651854 [patent_doc_number] => 11354584 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-06-07 [patent_title] => Systems and methods for trend aware self-correcting entity relationship extraction [patent_app_type] => utility [patent_app_number] => 16/219621 [patent_app_country] => US [patent_app_date] => 2018-12-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 18 [patent_no_of_words] => 7744 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 79 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16219621 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17309462 [patent_doc_number] => 11210578 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-12-28 [patent_title] => Automatic determination of cognitive models for deployment at computerized devices having various hardware constraints [patent_app_type] => utility [patent_app_number] => 16/217760 [patent_app_country] => US [patent_app_date] => 2018-12-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 6 [patent_no_of_words] => 9565 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 197 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16217760 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16338547 [patent_doc_number] => 10789509 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-09-29 [patent_title] => Systems and methods for generating machine learning applications [patent_app_type] => utility [patent_app_number] => 16/218425 [patent_app_country] => US [patent_app_date] => 2018-12-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 9752 [patent_no_of_claims] => 30 [patent_no_of_ind_claims] => 6 [patent_words_short_claim] => 303 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16218425 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14444583 [patent_doc_number] => 20190180165 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-13 [patent_title] => GENERATING REPRESENTATIONS OF INPUT SEQUENCES USING NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/211635 [patent_app_country] => US [patent_app_date] => 2018-12-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4603 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 102 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16211635 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17500227 [patent_doc_number] => 11288933 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-03-29 [patent_title] => Devices for tracking retail interactions with goods and association to user accounts for cashier-less transactions [patent_app_type] => utility [patent_app_number] => 16/204057 [patent_app_country] => US [patent_app_date] => 2018-11-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 76 [patent_figures_cnt] => 128 [patent_no_of_words] => 90573 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 212 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16204057 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15999015 [patent_doc_number] => 20200175378 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-06-04 [patent_title] => AUTOMATED MODEL BUILDING SEARCH SPACE REDUCTION [patent_app_type] => utility [patent_app_number] => 16/205088 [patent_app_country] => US [patent_app_date] => 2018-11-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13899 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -32 [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] => 16205088 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15999075 [patent_doc_number] => 20200175408 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-06-04 [patent_title] => SEQUENTIAL DEEP LAYERS USED IN MACHINE LEARNING [patent_app_type] => utility [patent_app_number] => 16/204784 [patent_app_country] => US [patent_app_date] => 2018-11-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7216 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -20 [patent_words_short_claim] => 78 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16204784 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17925047 [patent_doc_number] => 11468301 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-10-11 [patent_title] => Method and apparatus for performing operation of convolutional layer in convolutional neural network [patent_app_type] => utility [patent_app_number] => 16/203017 [patent_app_country] => US [patent_app_date] => 2018-11-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 10 [patent_no_of_words] => 8780 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 163 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16203017 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14841409 [patent_doc_number] => 20190279105 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-09-12 [patent_title] => HIERARCHICAL MACHINE LEARNING SYSTEM FOR LIFELONG LEARNING [patent_app_type] => utility [patent_app_number] => 16/197017 [patent_app_country] => US [patent_app_date] => 2018-11-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 26502 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [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] => 16197017 [rel_patent_id] =>[rel_patent_doc_number] =>)