Search

Aaron J. Lewis

Examiner (ID: 5153, Phone: (571)272-4795 , Office: P/3993 )

Most Active Art Unit
3307
Art Unit(s)
3993, 3307, 3312, 2202, 3735, 3743, 3761
Total Applications
1682
Issued Applications
1316
Pending Applications
126
Abandoned Applications
240

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 15091455 [patent_doc_number] => 20190340539 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-07 [patent_title] => TECHNOLOGIES FOR PLATFORM-TARGETED MACHINE LEARNING [patent_app_type] => utility [patent_app_number] => 16/513800 [patent_app_country] => US [patent_app_date] => 2019-07-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8717 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 65 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16513800 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/513800
Technologies for platform-targeted machine learning Jul 16, 2019 Issued
Array ( [id] => 19029222 [patent_doc_number] => 11928583 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-12 [patent_title] => Adaptation of deep learning models to resource constrained edge devices [patent_app_type] => utility [patent_app_number] => 16/504353 [patent_app_country] => US [patent_app_date] => 2019-07-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 6775 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 327 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16504353 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/504353
Adaptation of deep learning models to resource constrained edge devices Jul 7, 2019 Issued
Array ( [id] => 18276377 [patent_doc_number] => 11615321 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-03-28 [patent_title] => Techniques for modifying the operation of neural networks [patent_app_type] => utility [patent_app_number] => 16/505592 [patent_app_country] => US [patent_app_date] => 2019-07-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 41 [patent_figures_cnt] => 41 [patent_no_of_words] => 19392 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 121 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16505592 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/505592
Techniques for modifying the operation of neural networks Jul 7, 2019 Issued
Array ( [id] => 14902441 [patent_doc_number] => 20190294986 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-09-26 [patent_title] => PRESENTING INFERENCE MODELS BASED ON INTERRELATIONSHIPS [patent_app_type] => utility [patent_app_number] => 16/441115 [patent_app_country] => US [patent_app_date] => 2019-06-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 50079 [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] => 16441115 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/441115
Presenting inference models based on interrelationships Jun 13, 2019 Issued
Array ( [id] => 16706491 [patent_doc_number] => 10956426 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-03-23 [patent_title] => Classification for asymmetric error costs [patent_app_type] => utility [patent_app_number] => 16/438351 [patent_app_country] => US [patent_app_date] => 2019-06-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 10 [patent_no_of_words] => 6130 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 177 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16438351 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/438351
Classification for asymmetric error costs Jun 10, 2019 Issued
Array ( [id] => 14967595 [patent_doc_number] => 20190311276 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-10-10 [patent_title] => Method for Performing a Cognitive Learning Lifecycle Operation [patent_app_type] => utility [patent_app_number] => 16/434493 [patent_app_country] => US [patent_app_date] => 2019-06-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 26645 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 194 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16434493 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/434493
Method for performing a cognitive learning lifecycle operation Jun 6, 2019 Issued
Array ( [id] => 17942694 [patent_doc_number] => 11477166 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-10-18 [patent_title] => Systems and methods for providing secure evolution as a service [patent_app_type] => utility [patent_app_number] => 16/424686 [patent_app_country] => US [patent_app_date] => 2019-05-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 3597 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 203 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16424686 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/424686
Systems and methods for providing secure evolution as a service May 28, 2019 Issued
Array ( [id] => 14841275 [patent_doc_number] => 20190279038 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-09-12 [patent_title] => DATA FLOW GRAPH NODE PARALLEL UPDATE FOR MACHINE LEARNING [patent_app_type] => utility [patent_app_number] => 16/423050 [patent_app_country] => US [patent_app_date] => 2019-05-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20371 [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] => 16423050 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/423050
DATA FLOW GRAPH NODE PARALLEL UPDATE FOR MACHINE LEARNING May 26, 2019 Abandoned
Array ( [id] => 15501519 [patent_doc_number] => 20200050948 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-02-13 [patent_title] => AUTOMATED QUALITY ASSESSMENT OF PHYSIOLOGICAL SIGNALS [patent_app_type] => utility [patent_app_number] => 16/418352 [patent_app_country] => US [patent_app_date] => 2019-05-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5809 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [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] => 16418352 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/418352
Automated quality assessment of physiological signals May 20, 2019 Issued
Array ( [id] => 17729945 [patent_doc_number] => 11386337 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-07-12 [patent_title] => Modeling a correlation and a causation link of hidden evidence [patent_app_type] => utility [patent_app_number] => 16/417924 [patent_app_country] => US [patent_app_date] => 2019-05-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 5507 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 99 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16417924 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/417924
Modeling a correlation and a causation link of hidden evidence May 20, 2019 Issued
Array ( [id] => 15501519 [patent_doc_number] => 20200050948 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-02-13 [patent_title] => AUTOMATED QUALITY ASSESSMENT OF PHYSIOLOGICAL SIGNALS [patent_app_type] => utility [patent_app_number] => 16/418352 [patent_app_country] => US [patent_app_date] => 2019-05-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5809 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [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] => 16418352 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/418352
Automated quality assessment of physiological signals May 20, 2019 Issued
Array ( [id] => 15258567 [patent_doc_number] => 20190378017 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-12 [patent_title] => SYSTEM AND METHOD FOR IMPLEMENTING A NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/409361 [patent_app_country] => US [patent_app_date] => 2019-05-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9215 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [patent_words_short_claim] => 258 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16409361 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/409361
SYSTEM AND METHOD FOR IMPLEMENTING A NEURAL NETWORK May 9, 2019 Abandoned
Array ( [id] => 16315155 [patent_doc_number] => 20200293893 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-17 [patent_title] => JOINTLY PRUNING AND QUANTIZING DEEP NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/396619 [patent_app_country] => US [patent_app_date] => 2019-04-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6012 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 138 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16396619 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/396619
Jointly pruning and quantizing deep neural networks Apr 25, 2019 Issued
Array ( [id] => 14720799 [patent_doc_number] => 20190251463 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-15 [patent_title] => INTERACTIVE LIVE EVENT OUTCOME SELECTION AND PREDICTION [patent_app_type] => utility [patent_app_number] => 16/391997 [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] => 14711 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16391997 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/391997
Interactive live event outcome selection and prediction Apr 22, 2019 Issued
Array ( [id] => 15215943 [patent_doc_number] => 20190370658 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-05 [patent_title] => Self-Tuning Incremental Model Compression Solution in Deep Neural Network with Guaranteed Accuracy Performance [patent_app_type] => utility [patent_app_number] => 16/388840 [patent_app_country] => US [patent_app_date] => 2019-04-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 2172 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 79 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16388840 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/388840
Self-tuning incremental model compression solution in deep neural network with guaranteed accuracy performance Apr 17, 2019 Issued
Array ( [id] => 14783181 [patent_doc_number] => 20190266488 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-29 [patent_title] => REAL-TIME RESOURCE USAGE REDUCTION IN ARTIFICIAL NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/384985 [patent_app_country] => US [patent_app_date] => 2019-04-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9906 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 318 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16384985 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/384985
Real-time resource usage reduction in artificial neural networks Apr 15, 2019 Issued
Array ( [id] => 14658677 [patent_doc_number] => 20190236467 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-01 [patent_title] => MOOD DETECTION WITH INTELLIGENCE AGENTS [patent_app_type] => utility [patent_app_number] => 16/382326 [patent_app_country] => US [patent_app_date] => 2019-04-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8238 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 391 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16382326 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/382326
Mood detection with intelligence agents Apr 11, 2019 Issued
Array ( [id] => 14658679 [patent_doc_number] => 20190236468 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-01 [patent_title] => MOOD DETECTION WITH INTELLIGENCE AGENTS [patent_app_type] => utility [patent_app_number] => 16/382367 [patent_app_country] => US [patent_app_date] => 2019-04-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8240 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 401 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16382367 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/382367
Mood detection with intelligence agents Apr 11, 2019 Issued
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] =>)
16/379704
Multi-task based lifelong learning Apr 8, 2019 Issued
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] =>)
16/368945
Methods of optimization of computational graphs of neural networks Mar 28, 2019 Issued
Menu