Kendrick Hsu

Array ( [id] => 18668908 [patent_doc_number] => 11775812 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-10-03 [patent_title] => Multi-task based lifelong learning [patent_app_type] => utility [patent_app_number] => 16/379704 [patent_app_country] => US [patent_app_date] => 2019-04-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 7 [patent_no_of_words] => 9413 [patent_no_of_claims] => 20 [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] => 16379704 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18031133 [patent_doc_number] => 11514324 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-11-29 [patent_title] => Methods of optimization of computational graphs of neural networks [patent_app_type] => utility [patent_app_number] => 16/368945 [patent_app_country] => US [patent_app_date] => 2019-03-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 19 [patent_no_of_words] => 11473 [patent_no_of_claims] => 12 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 240 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16368945 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14841423 [patent_doc_number] => 20190279112 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-09-12 [patent_title] => MACHINE LEARNING TECHNIQUE SELECTION AND IMPROVEMENT [patent_app_type] => utility [patent_app_number] => 16/297202 [patent_app_country] => US [patent_app_date] => 2019-03-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10956 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 204 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16297202 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14873563 [patent_doc_number] => 20190287023 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-09-19 [patent_title] => LEARNING CLASSIFICATION DEVICE AND LEARNING CLASSIFICATION METHOD [patent_app_type] => utility [patent_app_number] => 16/294963 [patent_app_country] => US [patent_app_date] => 2019-03-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12738 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 73 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16294963 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14540267 [patent_doc_number] => 20190205755 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-07-04 [patent_title] => REAL-TIME RESOURCE USAGE REDUCTION IN ARTIFICIAL NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/293700 [patent_app_country] => US [patent_app_date] => 2019-03-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9905 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 68 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16293700 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14658705 [patent_doc_number] => 20190236481 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-01 [patent_title] => Temporal Memory Using Sparse Distributed Representation [patent_app_type] => utility [patent_app_number] => 16/291862 [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] => 17805 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 109 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16291862 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15701923 [patent_doc_number] => 10607144 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-03-31 [patent_title] => Systems and methods for modeling machine learning and data analytics [patent_app_type] => utility [patent_app_number] => 16/286103 [patent_app_country] => US [patent_app_date] => 2019-02-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 6364 [patent_no_of_claims] => 28 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 207 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16286103 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14473841 [patent_doc_number] => 20190188565 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-20 [patent_title] => LEARNING AND DEPLOYMENT OF ADAPTIVE WIRELESS COMMUNICATIONS [patent_app_type] => utility [patent_app_number] => 16/281246 [patent_app_country] => US [patent_app_date] => 2019-02-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17142 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 139 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16281246 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14448945 [patent_doc_number] => 20190182346 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-13 [patent_title] => FUTURE EVENT DETECTION AND NOTIFICATION [patent_app_type] => utility [patent_app_number] => 16/278670 [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] => 8189 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 28 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16278670 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14444597 [patent_doc_number] => 20190180172 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-13 [patent_title] => INCIDENT PREDICTION AND RESPONSE USING DEEP LEARNING TECHNIQUES AND MULTIMODAL DATA [patent_app_type] => utility [patent_app_number] => 16/275402 [patent_app_country] => US [patent_app_date] => 2019-02-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8653 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 158 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16275402 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16616325 [patent_doc_number] => 20210034978 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-02-04 [patent_title] => Distributed Deep Learning System [patent_app_type] => utility [patent_app_number] => 16/967702 [patent_app_country] => US [patent_app_date] => 2019-02-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20383 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [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] => 16967702 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17084630 [patent_doc_number] => 20210279637 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-09 [patent_title] => LABEL COLLECTION APPARATUS, LABEL COLLECTION METHOD, AND LABEL COLLECTION PROGRAM [patent_app_type] => utility [patent_app_number] => 16/967639 [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] => 6381 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -2 [patent_words_short_claim] => 74 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16967639 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18235227 [patent_doc_number] => 11599786 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-03-07 [patent_title] => Neural network applications in resource constrained environments [patent_app_type] => utility [patent_app_number] => 16/267285 [patent_app_country] => US [patent_app_date] => 2019-02-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 33 [patent_figures_cnt] => 36 [patent_no_of_words] => 33990 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 358 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16267285 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14412189 [patent_doc_number] => 20190171938 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-06 [patent_title] => NEURAL NETWORK APPLICATIONS IN RESOURCE CONSTRAINED ENVIRONMENTS [patent_app_type] => utility [patent_app_number] => 16/267317 [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] => 51153 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 320 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16267317 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18638547 [patent_doc_number] => 11763154 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2023-09-19 [patent_title] => Machine learning services with pre-trained models [patent_app_type] => utility [patent_app_number] => 16/262677 [patent_app_country] => US [patent_app_date] => 2019-01-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 7304 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 162 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16262677 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14720759 [patent_doc_number] => 20190251443 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-15 [patent_title] => AUTOMATICALLY SCALING NEURAL NETWORKS BASED ON LOAD [patent_app_type] => utility [patent_app_number] => 16/260370 [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] => 3934 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [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] => 16260370 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14349955 [patent_doc_number] => 20190156950 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-05-23 [patent_title] => Systems and Methods for Predicting Metabolic and Bariatric Surgery Outcomes [patent_app_type] => utility [patent_app_number] => 16/259534 [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] => 26967 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 179 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16259534 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17758756 [patent_doc_number] => 11399060 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-07-26 [patent_title] => System and method for continuous AI management and learning [patent_app_type] => utility [patent_app_number] => 16/251189 [patent_app_country] => US [patent_app_date] => 2019-01-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 15 [patent_no_of_words] => 26700 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 146 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16251189 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15871735 [patent_doc_number] => 20200143271 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-05-07 [patent_title] => SECURE EXPEDITIONARY AI SENSE-UNDERSTAND-DECIDE-ACT SYSTEM AND METHOD [patent_app_type] => utility [patent_app_number] => 16/251410 [patent_app_country] => US [patent_app_date] => 2019-01-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 26700 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 119 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16251410 [rel_patent_id] =>[rel_patent_doc_number] =>)

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] =>)