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] => 15805701 [patent_doc_number] => 20200125993 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-23 [patent_title] => MACHINE LEARNING APPROACH FOR QUERY RESOLUTION VIA A DYNAMIC DETERMINATION AND ALLOCATION OF EXPERT RESOURCES [patent_app_type] => utility [patent_app_number] => 16/721568 [patent_app_country] => US [patent_app_date] => 2019-12-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17134 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -20 [patent_words_short_claim] => 424 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16721568 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/721568
MACHINE LEARNING APPROACH FOR QUERY RESOLUTION VIA A DYNAMIC DETERMINATION AND ALLOCATION OF EXPERT RESOURCES Dec 18, 2019 Abandoned
Array ( [id] => 18766150 [patent_doc_number] => 11816553 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-11-14 [patent_title] => Output from a recurrent neural network [patent_app_type] => utility [patent_app_number] => 16/710205 [patent_app_country] => US [patent_app_date] => 2019-12-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 7 [patent_no_of_words] => 9797 [patent_no_of_claims] => 27 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 232 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16710205 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/710205
Output from a recurrent neural network Dec 10, 2019 Issued
Array ( [id] => 18357096 [patent_doc_number] => 11645500 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-05-09 [patent_title] => Method and system for enhancing training data and improving performance for neural network models [patent_app_type] => utility [patent_app_number] => 16/702442 [patent_app_country] => US [patent_app_date] => 2019-12-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 11012 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 329 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16702442 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/702442
Method and system for enhancing training data and improving performance for neural network models Dec 2, 2019 Issued
Array ( [id] => 15686381 [patent_doc_number] => 20200097854 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-03-26 [patent_title] => MACHINE LEARNING APPROACH FOR QUERY RESOLUTION VIA A DYNAMIC DETERMINATION AND ALLOCATION OF EXPERT RESOURCES [patent_app_type] => utility [patent_app_number] => 16/695881 [patent_app_country] => US [patent_app_date] => 2019-11-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17134 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [patent_words_short_claim] => 316 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16695881 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/695881
MACHINE LEARNING APPROACH FOR QUERY RESOLUTION VIA A DYNAMIC DETERMINATION AND ALLOCATION OF EXPERT RESOURCES Nov 25, 2019 Abandoned
Array ( [id] => 15655047 [patent_doc_number] => 20200090054 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-03-19 [patent_title] => AUTOMATED CREATION OF SEMANTICALLY-ENRICHED DIAGNOSIS MODELS [patent_app_type] => utility [patent_app_number] => 16/688485 [patent_app_country] => US [patent_app_date] => 2019-11-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4922 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16688485 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/688485
Automated creation of semantically-enriched diagnosis models Nov 18, 2019 Issued
Array ( [id] => 18446382 [patent_doc_number] => 11681954 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-06-20 [patent_title] => Parallel decoding using transformer models [patent_app_type] => utility [patent_app_number] => 16/682611 [patent_app_country] => US [patent_app_date] => 2019-11-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 4989 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 247 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16682611 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/682611
Parallel decoding using transformer models Nov 12, 2019 Issued
Array ( [id] => 16811055 [patent_doc_number] => 20210133610 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-06 [patent_title] => LEARNING MODEL AGNOSTIC MULTILEVEL EXPLANATIONS [patent_app_type] => utility [patent_app_number] => 16/668267 [patent_app_country] => US [patent_app_date] => 2019-10-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10502 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 72 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16668267 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/668267
LEARNING MODEL AGNOSTIC MULTILEVEL EXPLANATIONS Oct 29, 2019 Abandoned
Array ( [id] => 15368225 [patent_doc_number] => 20200019877 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-01-16 [patent_title] => CROSS-DOMAIN TIME SERIES DATA CONVERSION APPARATUS, METHODS, AND SYSTEMS [patent_app_type] => utility [patent_app_number] => 16/579552 [patent_app_country] => US [patent_app_date] => 2019-09-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11465 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 85 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16579552 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/579552
CROSS-DOMAIN TIME SERIES DATA CONVERSION APPARATUS, METHODS, AND SYSTEMS Sep 22, 2019 Pending
Array ( [id] => 15368223 [patent_doc_number] => 20200019876 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-01-16 [patent_title] => PREDICTING USER QUESTION IN QUESTION AND ANSWER SYSTEM [patent_app_type] => utility [patent_app_number] => 16/579355 [patent_app_country] => US [patent_app_date] => 2019-09-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8607 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 104 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16579355 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/579355
Predicting user question in question and answer system Sep 22, 2019 Issued
Array ( [id] => 16528018 [patent_doc_number] => 20200402098 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-24 [patent_title] => SYSTEMS AND METHODS FOR ASSESSING ADVERTISEMENT [patent_app_type] => utility [patent_app_number] => 16/760621 [patent_app_country] => US [patent_app_date] => 2019-09-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17606 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 355 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16760621 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/760621
Systems and methods for assessing advertisement Sep 15, 2019 Issued
Array ( [id] => 16691134 [patent_doc_number] => 20210073612 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-11 [patent_title] => MACHINE-LEARNING-BASED ARCHITECTURE SEARCH METHOD FOR A NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/566797 [patent_app_country] => US [patent_app_date] => 2019-09-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 60084 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -21 [patent_words_short_claim] => 50 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16566797 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/566797
MACHINE-LEARNING-BASED ARCHITECTURE SEARCH METHOD FOR A NEURAL NETWORK Sep 9, 2019 Pending
Array ( [id] => 15298367 [patent_doc_number] => 20190392319 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-26 [patent_title] => ATTENTION-BASED SEQUENCE TRANSDUCTION NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/559392 [patent_app_country] => US [patent_app_date] => 2019-09-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8155 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [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] => 16559392 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/559392
Attention-based sequence transduction neural networks Sep 2, 2019 Issued
Array ( [id] => 15272699 [patent_doc_number] => 20190385084 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-19 [patent_title] => DOCKET SEARCH AND ANALYTICS ENGINE [patent_app_type] => utility [patent_app_number] => 16/555597 [patent_app_country] => US [patent_app_date] => 2019-08-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11850 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 270 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16555597 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/555597
DOCKET SEARCH AND ANALYTICS ENGINE Aug 28, 2019 Pending
Array ( [id] => 19029807 [patent_doc_number] => 11929170 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-12 [patent_title] => Methods and systems for selecting an ameliorative output using artificial intelligence [patent_app_type] => utility [patent_app_number] => 16/548289 [patent_app_country] => US [patent_app_date] => 2019-08-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 16 [patent_figures_cnt] => 16 [patent_no_of_words] => 34784 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 315 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16548289 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/548289
Methods and systems for selecting an ameliorative output using artificial intelligence Aug 21, 2019 Issued
Array ( [id] => 17024581 [patent_doc_number] => 20210248453 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-12 [patent_title] => SCALED COMPUTE FABRIC FOR ACCELERATED DEEP LEARNING [patent_app_type] => utility [patent_app_number] => 17/271801 [patent_app_country] => US [patent_app_date] => 2019-08-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 69862 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -46 [patent_words_short_claim] => 128 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17271801 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/271801
Scaled compute fabric for accelerated deep learning Aug 10, 2019 Issued
Array ( [id] => 16644757 [patent_doc_number] => 10922617 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-02-16 [patent_title] => Embedding electronic structure in controllable quantum systems [patent_app_type] => utility [patent_app_number] => 16/535770 [patent_app_country] => US [patent_app_date] => 2019-08-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 7 [patent_no_of_words] => 11551 [patent_no_of_claims] => 13 [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] => 16535770 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/535770
Embedding electronic structure in controllable quantum systems Aug 7, 2019 Issued
Array ( [id] => 15152781 [patent_doc_number] => 20190354868 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-21 [patent_title] => MULTI-TASK NEURAL NETWORKS WITH TASK-SPECIFIC PATHS [patent_app_type] => utility [patent_app_number] => 16/526240 [patent_app_country] => US [patent_app_date] => 2019-07-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10244 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [patent_words_short_claim] => 271 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16526240 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/526240
Multi-task neural networks with task-specific paths Jul 29, 2019 Issued
Array ( [id] => 15121199 [patent_doc_number] => 20190347233 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-14 [patent_title] => METHODS AND APPARATUSES FOR PROVIDING DATA RECEIVED BY A STATE MACHINE ENGINE [patent_app_type] => utility [patent_app_number] => 16/519921 [patent_app_country] => US [patent_app_date] => 2019-07-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 22611 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -23 [patent_words_short_claim] => 27 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16519921 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/519921
Methods and apparatuses for providing data received by a state machine engine Jul 22, 2019 Issued
Array ( [id] => 16201167 [patent_doc_number] => 10726336 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-07-28 [patent_title] => Apparatus and method for compression coding for artificial neural network [patent_app_type] => utility [patent_app_number] => 16/508139 [patent_app_country] => US [patent_app_date] => 2019-07-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 5627 [patent_no_of_claims] => 24 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 160 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16508139 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/508139
Apparatus and method for compression coding for artificial neural network Jul 9, 2019 Issued
Array ( [id] => 18262398 [patent_doc_number] => 11610100 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-03-21 [patent_title] => Accelerator for deep neural networks [patent_app_type] => utility [patent_app_number] => 16/504275 [patent_app_country] => US [patent_app_date] => 2019-07-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 28 [patent_figures_cnt] => 42 [patent_no_of_words] => 15289 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 176 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16504275 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/504275
Accelerator for deep neural networks Jul 6, 2019 Issued
Menu