Eric Nilsson

Array ( [id] => 20616421 [patent_doc_number] => 20260086514 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2026-03-26 [patent_title] => Deep Causal Learning for Continuous Testing, Diagnosis, and Optimization [patent_app_type] => utility [patent_app_number] => 19/406643 [patent_app_country] => US [patent_app_date] => 2025-12-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3432 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 122 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19406643 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19950480 [patent_doc_number] => 12321845 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-06-03 [patent_title] => Iterative attention-based neural network training and processing [patent_app_type] => utility [patent_app_number] => 18/963462 [patent_app_country] => US [patent_app_date] => 2024-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 22 [patent_no_of_words] => 28308 [patent_no_of_claims] => 30 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 432 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18963462 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19963898 [patent_doc_number] => 12333407 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-06-17 [patent_title] => Iterative attention-based neural network training and processing [patent_app_type] => utility [patent_app_number] => 18/963465 [patent_app_country] => US [patent_app_date] => 2024-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 22 [patent_no_of_words] => 28290 [patent_no_of_claims] => 87 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 261 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18963465 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19956751 [patent_doc_number] => 12327166 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-06-10 [patent_title] => Iterative attention-based neural network training and processing [patent_app_type] => utility [patent_app_number] => 18/963473 [patent_app_country] => US [patent_app_date] => 2024-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 22 [patent_no_of_words] => 27646 [patent_no_of_claims] => 397 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 194 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18963473 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19971681 [patent_doc_number] => 12340296 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-06-24 [patent_title] => Iterative attention-based neural network training and processing [patent_app_type] => utility [patent_app_number] => 18/963469 [patent_app_country] => US [patent_app_date] => 2024-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 22 [patent_no_of_words] => 28129 [patent_no_of_claims] => 45 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 259 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18963469 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19934137 [patent_doc_number] => 12307342 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-05-20 [patent_title] => Iterative attention-based neural network training and processing [patent_app_type] => utility [patent_app_number] => 18/810465 [patent_app_country] => US [patent_app_date] => 2024-08-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 22 [patent_no_of_words] => 27906 [patent_no_of_claims] => 211 [patent_no_of_ind_claims] => 5 [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] => 18810465 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19917900 [patent_doc_number] => 12293270 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-05-06 [patent_title] => Iterative attention-based neural network training and processing [patent_app_type] => utility [patent_app_number] => 18/810464 [patent_app_country] => US [patent_app_date] => 2024-08-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 22 [patent_no_of_words] => 28301 [patent_no_of_claims] => 224 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 179 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18810464 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19942702 [patent_doc_number] => 12314834 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-05-27 [patent_title] => Iterative attention-based neural network training and processing [patent_app_type] => utility [patent_app_number] => 18/810460 [patent_app_country] => US [patent_app_date] => 2024-08-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 22 [patent_no_of_words] => 28277 [patent_no_of_claims] => 190 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 154 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18810460 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19934144 [patent_doc_number] => 12307349 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-05-20 [patent_title] => Systems and methods of large language model driven orchestration of task-specific machine learning software agents [patent_app_type] => utility [patent_app_number] => 18/792157 [patent_app_country] => US [patent_app_date] => 2024-08-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 12882 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 540 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18792157 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19588734 [patent_doc_number] => 20240386291 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-11-21 [patent_title] => METHOD FOR AUTOMATED SENSORY PROFILING AND FOOD FORMULATION [patent_app_type] => utility [patent_app_number] => 18/668010 [patent_app_country] => US [patent_app_date] => 2024-05-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13496 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 214 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18668010 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19545445 [patent_doc_number] => 20240362481 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-10-31 [patent_title] => REINFORCEMENT LEARNING USING BASELINE AND POLICY NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 18/662481 [patent_app_country] => US [patent_app_date] => 2024-05-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6361 [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] => 18662481 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19391813 [patent_doc_number] => 20240281683 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-08-22 [patent_title] => COGNITIVE AUTOMATION FOR NETWORKING, SECURITY, IoT, AND COLLABORATION [patent_app_type] => utility [patent_app_number] => 18/651011 [patent_app_country] => US [patent_app_date] => 2024-04-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11681 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 88 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18651011 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19765123 [patent_doc_number] => 12223414 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-02-11 [patent_title] => Programming method of an activation function and an activation function programming unit [patent_app_type] => utility [patent_app_number] => 18/599120 [patent_app_country] => US [patent_app_date] => 2024-03-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 54 [patent_figures_cnt] => 66 [patent_no_of_words] => 42212 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 130 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18599120 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19175040 [patent_doc_number] => 20240161014 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-05-16 [patent_title] => SEMISUPERVISED AUTOENCODER FOR SENTIMENT ANALYSIS [patent_app_type] => utility [patent_app_number] => 18/406198 [patent_app_country] => US [patent_app_date] => 2024-01-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 36211 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 56 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18406198 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19476114 [patent_doc_number] => 12106209 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-10-01 [patent_title] => Method for evaluating an artificial neural network model performance and system using the same [patent_app_type] => utility [patent_app_number] => 18/401718 [patent_app_country] => US [patent_app_date] => 2024-01-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 14 [patent_no_of_words] => 13184 [patent_no_of_claims] => 28 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 178 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18401718 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19232802 [patent_doc_number] => 20240189994 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-06-13 [patent_title] => REAL-WORLD ROBOT CONTROL USING TRANSFORMER NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 18/539171 [patent_app_country] => US [patent_app_date] => 2023-12-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11327 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 175 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18539171 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19726201 [patent_doc_number] => 20250028952 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-01-23 [patent_title] => METHOD AND APPARATUS WITH DISTRIBUTED TRAINING OF NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 18/530683 [patent_app_country] => US [patent_app_date] => 2023-12-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13115 [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] => 18530683 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20027629 [patent_doc_number] => 20250165851 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-05-22 [patent_title] => DYNAMIC SELECTION OF TRAINING ROUTINES BASED ON DATA SHIFT SEVERITY [patent_app_type] => utility [patent_app_number] => 18/513173 [patent_app_country] => US [patent_app_date] => 2023-11-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14314 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 107 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18513173 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20374283 [patent_doc_number] => 12481720 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-11-25 [patent_title] => Computing device that performs a method for diagnosing properties of data and a system comprising the computing device [patent_app_type] => utility [patent_app_number] => 18/511617 [patent_app_country] => US [patent_app_date] => 2023-11-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 33 [patent_figures_cnt] => 33 [patent_no_of_words] => 19382 [patent_no_of_claims] => 15 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 334 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18511617 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19036678 [patent_doc_number] => 20240086493 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-03-14 [patent_title] => METHOD FOR DIAGNOSING A DATASET TO GENERATE SYNTHETIC DATA, AND A COMPUTING DEVICE AND SYSTEM FOR PERFORMING SUCH A METHOD [patent_app_type] => utility [patent_app_number] => 18/511600 [patent_app_country] => US [patent_app_date] => 2023-11-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 44431 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 166 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18511600 [rel_patent_id] =>[rel_patent_doc_number] =>)