Search

Thomas M Lithgow

Examiner (ID: 2382, Phone: (571)272-1162 , Office: P/1776 )

Most Active Art Unit
1724
Art Unit(s)
1308, 1778, 1776, 1724, 1797, 1303, 1305, 2899
Total Applications
2612
Issued Applications
2058
Pending Applications
133
Abandoned Applications
421

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 14658731 [patent_doc_number] => 20190236494 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-01 [patent_title] => AUTOMATED ASSESSMENT OF OPERATOR PERFORMANCE [patent_app_type] => utility [patent_app_number] => 16/208309 [patent_app_country] => US [patent_app_date] => 2018-12-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16398 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [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] => 16208309 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/208309
Automated assessment of operator performance Dec 2, 2018 Issued
Array ( [id] => 14444645 [patent_doc_number] => 20190180196 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-13 [patent_title] => SYSTEMS AND METHODS FOR GENERATING AND UPDATING MACHINE HYBRID DEEP LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 16/208478 [patent_app_country] => US [patent_app_date] => 2018-12-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15774 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [patent_words_short_claim] => 60 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16208478 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/208478
SYSTEMS AND METHODS FOR GENERATING AND UPDATING MACHINE HYBRID DEEP LEARNING MODELS Dec 2, 2018 Abandoned
Array ( [id] => 14444643 [patent_doc_number] => 20190180195 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-13 [patent_title] => SYSTEMS AND METHODS FOR TRAINING MACHINE LEARNING MODELS USING ACTIVE LEARNING [patent_app_type] => utility [patent_app_number] => 16/208484 [patent_app_country] => US [patent_app_date] => 2018-12-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15775 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -23 [patent_words_short_claim] => 57 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16208484 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/208484
Systems and methods for training machine learning models using active learning Dec 2, 2018 Issued
Array ( [id] => 18053390 [patent_doc_number] => 11526776 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-12-13 [patent_title] => System and method for generating predictions of geopolitical events [patent_app_type] => utility [patent_app_number] => 16/201761 [patent_app_country] => US [patent_app_date] => 2018-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 21 [patent_figures_cnt] => 21 [patent_no_of_words] => 10149 [patent_no_of_claims] => 23 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 139 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16201761 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/201761
System and method for generating predictions of geopolitical events Nov 26, 2018 Issued
Array ( [id] => 18291668 [patent_doc_number] => 11620539 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-04-04 [patent_title] => Method and device for monitoring a process of generating metric data for predicting anomalies [patent_app_type] => utility [patent_app_number] => 16/200382 [patent_app_country] => US [patent_app_date] => 2018-11-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 2 [patent_figures_cnt] => 3 [patent_no_of_words] => 5724 [patent_no_of_claims] => 11 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 285 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16200382 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/200382
Method and device for monitoring a process of generating metric data for predicting anomalies Nov 25, 2018 Issued
Array ( [id] => 17925621 [patent_doc_number] => 11468880 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-10-11 [patent_title] => Dialog system training using a simulated user system [patent_app_type] => utility [patent_app_number] => 16/198302 [patent_app_country] => US [patent_app_date] => 2018-11-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 8019 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 185 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16198302 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/198302
Dialog system training using a simulated user system Nov 20, 2018 Issued
Array ( [id] => 18104660 [patent_doc_number] => 11544551 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-01-03 [patent_title] => Method and system for improving performance of an artificial neural network [patent_app_type] => utility [patent_app_number] => 16/195973 [patent_app_country] => US [patent_app_date] => 2018-11-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 5 [patent_no_of_words] => 7219 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 391 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16195973 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/195973
Method and system for improving performance of an artificial neural network Nov 19, 2018 Issued
Array ( [id] => 14378491 [patent_doc_number] => 20190163158 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-05-30 [patent_title] => CUTTING FLUID SUPPLY TIMING CONTROL DEVICE AND MACHINE LEARNING DEVICE [patent_app_type] => utility [patent_app_number] => 16/190708 [patent_app_country] => US [patent_app_date] => 2018-11-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5807 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -4 [patent_words_short_claim] => 120 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16190708 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/190708
Cutting fluid supply timing control device and machine learning device Nov 13, 2018 Issued
Array ( [id] => 15805621 [patent_doc_number] => 20200125953 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-23 [patent_title] => EFFICIENT DROPOUT INFERENCE FOR BAYESIAN DEEP LEARNING [patent_app_type] => utility [patent_app_number] => 16/168015 [patent_app_country] => US [patent_app_date] => 2018-10-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7438 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 173 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16168015 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/168015
Efficient dropout inference for bayesian deep learning Oct 22, 2018 Issued
Array ( [id] => 14219703 [patent_doc_number] => 20190122236 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-04-25 [patent_title] => SYSTEMS AND METHODS FOR MESSAGE CADENCE OPTIMIZATION [patent_app_type] => utility [patent_app_number] => 16/168779 [patent_app_country] => US [patent_app_date] => 2018-10-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11927 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 70 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16168779 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/168779
SYSTEMS AND METHODS FOR MESSAGE CADENCE OPTIMIZATION Oct 22, 2018 Abandoned
Array ( [id] => 16759004 [patent_doc_number] => 10977556 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-04-13 [patent_title] => Optimizing neural networks for risk assessment [patent_app_type] => utility [patent_app_number] => 16/152936 [patent_app_country] => US [patent_app_date] => 2018-10-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 11722 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 268 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16152936 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/152936
Optimizing neural networks for risk assessment Oct 4, 2018 Issued
Array ( [id] => 15715967 [patent_doc_number] => 20200104751 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-02 [patent_title] => CLASSIFICATION OF UNSEEN DATA [patent_app_type] => utility [patent_app_number] => 16/148040 [patent_app_country] => US [patent_app_date] => 2018-10-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6016 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 22 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16148040 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/148040
CLASSIFICATION OF UNSEEN DATA Sep 30, 2018 Abandoned
Array ( [id] => 17667546 [patent_doc_number] => 11361247 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-06-14 [patent_title] => Spatial device clustering-based emergency response floor identification [patent_app_type] => utility [patent_app_number] => 16/148952 [patent_app_country] => US [patent_app_date] => 2018-10-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 9418 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [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] => 16148952 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/148952
Spatial device clustering-based emergency response floor identification Sep 30, 2018 Issued
Array ( [id] => 17338522 [patent_doc_number] => 20220004853 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-06 [patent_title] => PRODUCT-SUM CALCULATION UNIT, NEUROMORPHIC DEVICE, AND PRODUCT-SUM CALCULATION METHOD [patent_app_type] => utility [patent_app_number] => 17/279473 [patent_app_country] => US [patent_app_date] => 2018-09-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7877 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 142 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17279473 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/279473
PRODUCT-SUM CALCULATION UNIT, NEUROMORPHIC DEVICE, AND PRODUCT-SUM CALCULATION METHOD Sep 26, 2018 Pending
Array ( [id] => 17744755 [patent_doc_number] => 11392828 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-07-19 [patent_title] => Case object context embeddings for machine learning training of case context [patent_app_type] => utility [patent_app_number] => 16/140188 [patent_app_country] => US [patent_app_date] => 2018-09-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 11518 [patent_no_of_claims] => 24 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 187 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16140188 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/140188
Case object context embeddings for machine learning training of case context Sep 23, 2018 Issued
Array ( [id] => 17651847 [patent_doc_number] => 11354577 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-06-07 [patent_title] => System and method for designing efficient super resolution deep convolutional neural networks by cascade network training, cascade network trimming, and dilated convolutions [patent_app_type] => utility [patent_app_number] => 16/138279 [patent_app_country] => US [patent_app_date] => 2018-09-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 16 [patent_figures_cnt] => 23 [patent_no_of_words] => 12430 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 71 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16138279 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/138279
System and method for designing efficient super resolution deep convolutional neural networks by cascade network training, cascade network trimming, and dilated convolutions Sep 20, 2018 Issued
Array ( [id] => 14047627 [patent_doc_number] => 20190079920 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-03-14 [patent_title] => SYSTEMS AND METHODS FOR A COMMUNICATION EDITOR DASHBOARD [patent_app_type] => utility [patent_app_number] => 16/129722 [patent_app_country] => US [patent_app_date] => 2018-09-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14112 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 106 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16129722 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/129722
SYSTEMS AND METHODS FOR A COMMUNICATION EDITOR DASHBOARD Sep 11, 2018 Abandoned
Array ( [id] => 14799435 [patent_doc_number] => 10402723 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2019-09-03 [patent_title] => Multi-stage machine-learning models to control path-dependent processes [patent_app_type] => utility [patent_app_number] => 16/127933 [patent_app_country] => US [patent_app_date] => 2018-09-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 3 [patent_figures_cnt] => 3 [patent_no_of_words] => 14499 [patent_no_of_claims] => 22 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 467 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16127933 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/127933
Multi-stage machine-learning models to control path-dependent processes Sep 10, 2018 Issued
Array ( [id] => 17543259 [patent_doc_number] => 11308384 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-04-19 [patent_title] => Method and framework for pattern of life analysis [patent_app_type] => utility [patent_app_number] => 16/121109 [patent_app_country] => US [patent_app_date] => 2018-09-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 6 [patent_no_of_words] => 6854 [patent_no_of_claims] => 15 [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] => 16121109 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/121109
Method and framework for pattern of life analysis Sep 3, 2018 Issued
Array ( [id] => 14720791 [patent_doc_number] => 20190251459 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-08-15 [patent_title] => METHOD AND ELECTRONIC DEVICE FOR PREDICTING ELECTRONIC STRUCTURE OF MATERIAL [patent_app_type] => utility [patent_app_number] => 16/335235 [patent_app_country] => US [patent_app_date] => 2018-08-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 22349 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 129 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16335235 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/335235
Method and electronic device for predicting electronic structure of material Aug 12, 2018 Issued
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