Paulinho E. Smith

Array ( [id] => 19780608 [patent_doc_number] => 12229642 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-02-18 [patent_title] => Efficient duplicate detection for machine learning data sets [patent_app_type] => utility [patent_app_number] => 17/214047 [patent_app_country] => US [patent_app_date] => 2021-03-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 78 [patent_figures_cnt] => 81 [patent_no_of_words] => 90970 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 278 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17214047 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19917739 [patent_doc_number] => 12293109 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-05-06 [patent_title] => Memory device with reinforcement learning with Q-learning acceleration [patent_app_type] => utility [patent_app_number] => 17/212526 [patent_app_country] => US [patent_app_date] => 2021-03-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 9 [patent_no_of_words] => 1160 [patent_no_of_claims] => 18 [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] => 17212526 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16780762 [patent_doc_number] => 20210117841 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-22 [patent_title] => METHODS, APPARATUS, AND ARTICLES OF MANUFACTURE TO IMPROVE AUTOMATED MACHINE LEARNING [patent_app_type] => utility [patent_app_number] => 17/132879 [patent_app_country] => US [patent_app_date] => 2020-12-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17156 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -21 [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] => 17132879 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16764697 [patent_doc_number] => 20210110279 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-15 [patent_title] => ANALYTICS GATHERING OF DISCOVERED AND RESEARCHED INSIGHTS [patent_app_type] => utility [patent_app_number] => 17/128454 [patent_app_country] => US [patent_app_date] => 2020-12-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8644 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 146 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17128454 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17024600 [patent_doc_number] => 20210248472 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-12 [patent_title] => Neural Network Layers with a Controlled Degree of Spatial Invariance [patent_app_type] => utility [patent_app_number] => 17/121161 [patent_app_country] => US [patent_app_date] => 2020-12-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8898 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 168 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17121161 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18161919 [patent_doc_number] => 20230028511 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-01-26 [patent_title] => CONSTRUCTING AND OPERATING AN ARTIFICIAL RECURRENT NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 17/783981 [patent_app_country] => US [patent_app_date] => 2020-12-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 21367 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [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] => 17783981 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16888008 [patent_doc_number] => 20210174205 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-10 [patent_title] => ARTIFICIAL INTELLIGENCE SYSTEM [patent_app_type] => utility [patent_app_number] => 17/107698 [patent_app_country] => US [patent_app_date] => 2020-11-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 23022 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [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] => 17107698 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19886092 [patent_doc_number] => 12271810 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-04-08 [patent_title] => Federated learning with adaptive optimization [patent_app_type] => utility [patent_app_number] => 17/100253 [patent_app_country] => US [patent_app_date] => 2020-11-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 17 [patent_no_of_words] => 12397 [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] => 17100253 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16849656 [patent_doc_number] => 20210150401 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-20 [patent_title] => ENTANGLEMENT-ENHANCED MACHINE LEARNING WITH QUANTUM DATA ACQUISITION [patent_app_type] => utility [patent_app_number] => 16/953270 [patent_app_country] => US [patent_app_date] => 2020-11-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4674 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [patent_words_short_claim] => 87 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16953270 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17009955 [patent_doc_number] => 20210241116 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-05 [patent_title] => QUANTIFICATION AND ESTIMATION BASED ON DIGITAL TWIN OUTPUT [patent_app_type] => utility [patent_app_number] => 17/097058 [patent_app_country] => US [patent_app_date] => 2020-11-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8522 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 141 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17097058 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16623993 [patent_doc_number] => 20210042646 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-02-11 [patent_title] => Auto-Learning Recommender Method and System [patent_app_type] => utility [patent_app_number] => 17/079440 [patent_app_country] => US [patent_app_date] => 2020-10-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12713 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 98 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17079440 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20529443 [patent_doc_number] => 12547881 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-02-10 [patent_title] => Deep learning accelerator in memory utilized in factory safety monitoring systems [patent_app_type] => utility [patent_app_number] => 17/077986 [patent_app_country] => US [patent_app_date] => 2020-10-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 7556 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 170 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17077986 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16856540 [patent_doc_number] => 20210157285 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-27 [patent_title] => ADDITIONAL LEARNING DEVICE, ADDITIONAL LEARNING METHOD, AND STORAGE MEDIUM [patent_app_type] => utility [patent_app_number] => 17/068829 [patent_app_country] => US [patent_app_date] => 2020-10-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5018 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 110 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17068829 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16795212 [patent_doc_number] => 20210125029 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-29 [patent_title] => SUPERPIXEL METHODS FOR CONVOLUTIONAL NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 17/060420 [patent_app_country] => US [patent_app_date] => 2020-10-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9811 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 380 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17060420 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17508038 [patent_doc_number] => 20220101141 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-31 [patent_title] => NEURAL NETWORK DEVICES BASED ON PHASE CHANGE MATERIAL [patent_app_type] => utility [patent_app_number] => 17/032613 [patent_app_country] => US [patent_app_date] => 2020-09-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8012 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 118 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17032613 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16543985 [patent_doc_number] => 20200410400 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-31 [patent_title] => EXTRACTING FACTS FROM UNSTRUCTURED DATA [patent_app_type] => utility [patent_app_number] => 17/018166 [patent_app_country] => US [patent_app_date] => 2020-09-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6426 [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] => 17018166 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16527813 [patent_doc_number] => 20200401893 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-24 [patent_title] => Controlled Adaptive Optimization [patent_app_type] => utility [patent_app_number] => 17/014139 [patent_app_country] => US [patent_app_date] => 2020-09-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9223 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 206 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17014139 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19015500 [patent_doc_number] => 11922435 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-05 [patent_title] => Detecting and reducing bias (including discrimination) in an automated decision making process [patent_app_type] => utility [patent_app_number] => 17/009482 [patent_app_country] => US [patent_app_date] => 2020-09-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 14 [patent_no_of_words] => 14772 [patent_no_of_claims] => 25 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 371 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17009482 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19228822 [patent_doc_number] => 12008460 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-06-11 [patent_title] => Performing processing-in-memory operations related to pre-synaptic spike signals, and related methods and systems [patent_app_type] => utility [patent_app_number] => 17/007588 [patent_app_country] => US [patent_app_date] => 2020-08-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 14 [patent_no_of_words] => 17276 [patent_no_of_claims] => 22 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 229 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17007588 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16722128 [patent_doc_number] => 20210089275 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-25 [patent_title] => Physics Informed Neural Network for Learning Non-Euclidean Dynamics in Electro-Mechanical Systems for Synthesizing Energy-Based Controllers [patent_app_type] => utility [patent_app_number] => 17/005631 [patent_app_country] => US [patent_app_date] => 2020-08-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7585 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [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] => 17005631 [rel_patent_id] =>[rel_patent_doc_number] =>)