Search

Elizabeth Kemmerer

Examiner (ID: 7452, Phone: (571)272-0874 , Office: P/1646 )

Most Active Art Unit
1646
Art Unit(s)
1804, 1616, 1674, 1801, 1646, 1812
Total Applications
1810
Issued Applications
1112
Pending Applications
139
Abandoned Applications
581

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 20079941 [patent_doc_number] => 12354010 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-07-08 [patent_title] => Gradient compression for distributed training [patent_app_type] => utility [patent_app_number] => 16/827444 [patent_app_country] => US [patent_app_date] => 2020-03-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 21 [patent_no_of_words] => 12568 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 186 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16827444 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/827444
Gradient compression for distributed training Mar 22, 2020 Issued
Array ( [id] => 19328334 [patent_doc_number] => 12046023 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-07-23 [patent_title] => Unification of models having respective target classes with distillation [patent_app_type] => utility [patent_app_number] => 17/046014 [patent_app_country] => US [patent_app_date] => 2020-02-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 11 [patent_no_of_words] => 14864 [patent_no_of_claims] => 22 [patent_no_of_ind_claims] => 5 [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] => 17046014 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/046014
Unification of models having respective target classes with distillation Feb 24, 2020 Issued
Array ( [id] => 16865067 [patent_doc_number] => 11023814 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-06-01 [patent_title] => Computerized systems and methods for product categorization using artificial intelligence [patent_app_type] => utility [patent_app_number] => 16/793536 [patent_app_country] => US [patent_app_date] => 2020-02-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 13107 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [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] => 16793536 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/793536
Computerized systems and methods for product categorization using artificial intelligence Feb 17, 2020 Issued
Array ( [id] => 17024638 [patent_doc_number] => 20210248510 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-12 [patent_title] => LEARNING WITH MOMENT ESTIMATION USING DIFFERENT TIME CONSTANTS [patent_app_type] => utility [patent_app_number] => 16/787443 [patent_app_country] => US [patent_app_date] => 2020-02-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9794 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [patent_words_short_claim] => 135 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16787443 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/787443
Learning with moment estimation using different time constants Feb 10, 2020 Issued
Array ( [id] => 16240503 [patent_doc_number] => 20200257737 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-08-13 [patent_title] => DOCUMENT HANDLING [patent_app_type] => utility [patent_app_number] => 16/784462 [patent_app_country] => US [patent_app_date] => 2020-02-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5258 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 76 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16784462 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/784462
DOCUMENT HANDLING Feb 6, 2020 Abandoned
Array ( [id] => 19062283 [patent_doc_number] => 11941520 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-26 [patent_title] => Hyperparameter determination for a differentially private federated learning process [patent_app_type] => utility [patent_app_number] => 16/738114 [patent_app_country] => US [patent_app_date] => 2020-01-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 12 [patent_figures_cnt] => 16 [patent_no_of_words] => 15945 [patent_no_of_claims] => 25 [patent_no_of_ind_claims] => 5 [patent_words_short_claim] => 158 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16738114 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/738114
Hyperparameter determination for a differentially private federated learning process Jan 8, 2020 Issued
Array ( [id] => 16315182 [patent_doc_number] => 20200293920 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-17 [patent_title] => RAPID PREDICTIVE ANALYSIS OF VERY LARGE DATA SETS USING THE DISTRIBUTED COMPUTATIONAL GRAPH USING CONFIGURABLE ARRANGEMENT OF PROCESSING COMPONENTS [patent_app_type] => utility [patent_app_number] => 16/709598 [patent_app_country] => US [patent_app_date] => 2019-12-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17331 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 222 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16709598 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/709598
Rapid predictive analysis of very large data sets using the distributed computational graph using configurable arrangement of processing components Dec 9, 2019 Issued
Array ( [id] => 16819158 [patent_doc_number] => 11003993 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-05-11 [patent_title] => Training recurrent neural networks to generate sequences [patent_app_type] => utility [patent_app_number] => 16/707464 [patent_app_country] => US [patent_app_date] => 2019-12-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 7649 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 216 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16707464 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/707464
Training recurrent neural networks to generate sequences Dec 8, 2019 Issued
Array ( [id] => 15562551 [patent_doc_number] => 20200065687 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-02-27 [patent_title] => PLAN RECOGNITION WITH UNRELIABLE OBSERVATIONS [patent_app_type] => utility [patent_app_number] => 16/670098 [patent_app_country] => US [patent_app_date] => 2019-10-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14740 [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] => 16670098 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/670098
Plan recognition with unreliable observations Oct 30, 2019 Issued
Array ( [id] => 20580570 [patent_doc_number] => 12572822 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-03-10 [patent_title] => Flexible, personalized student success modeling for institutions with complex term structures and competency-based education [patent_app_type] => utility [patent_app_number] => 16/665900 [patent_app_country] => US [patent_app_date] => 2019-10-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 1249 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 2 [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] => 16665900 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/665900
Flexible, personalized student success modeling for institutions with complex term structures and competency-based education Oct 27, 2019 Issued
Array ( [id] => 15773877 [patent_doc_number] => 20200117956 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-16 [patent_title] => CONTROLLING AGENTS OVER LONG TIME SCALES USING TEMPORAL VALUE TRANSPORT [patent_app_type] => utility [patent_app_number] => 16/601324 [patent_app_country] => US [patent_app_date] => 2019-10-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10099 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 226 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16601324 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/601324
Controlling agents over long time scales using temporal value transport Oct 13, 2019 Issued
Array ( [id] => 16927288 [patent_doc_number] => 11048774 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-06-29 [patent_title] => Rotating body monitoring and alert system and method [patent_app_type] => utility [patent_app_number] => 16/589356 [patent_app_country] => US [patent_app_date] => 2019-10-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 10 [patent_no_of_words] => 6839 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 148 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16589356 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/589356
Rotating body monitoring and alert system and method Sep 30, 2019 Issued
Array ( [id] => 16046823 [patent_doc_number] => 10685286 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-06-16 [patent_title] => Automated neural network generation using fitness estimation [patent_app_type] => utility [patent_app_number] => 16/526360 [patent_app_country] => US [patent_app_date] => 2019-07-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 15572 [patent_no_of_claims] => 30 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 242 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16526360 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/526360
Automated neural network generation using fitness estimation Jul 29, 2019 Issued
Array ( [id] => 17158311 [patent_doc_number] => 20210319362 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-10-14 [patent_title] => INCENTIVE CONTROL FOR MULTI-AGENT SYSTEMS [patent_app_type] => utility [patent_app_number] => 17/261500 [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] => 9264 [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] => 17261500 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/261500
INCENTIVE CONTROL FOR MULTI-AGENT SYSTEMS Jul 29, 2019 Abandoned
Array ( [id] => 17992341 [patent_doc_number] => 20220358378 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-11-10 [patent_title] => MINIMAL UNSATISFIABLE SET DETECTION APPARATUS, MINIMAL UNSATISFIABLE SET DETECTION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM [patent_app_type] => utility [patent_app_number] => 17/620805 [patent_app_country] => US [patent_app_date] => 2019-06-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5522 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 95 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17620805 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/620805
Minimal unsatisfiable set detection apparatus, minimal unsatisfiable set detection method, and computer-readable recording medium Jun 26, 2019 Issued
Array ( [id] => 16470859 [patent_doc_number] => 20200372396 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-11-26 [patent_title] => OPTIMAL CONTENT IDENTIFICATION FOR LEARNING PATHS [patent_app_type] => utility [patent_app_number] => 16/416854 [patent_app_country] => US [patent_app_date] => 2019-05-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10642 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 95 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16416854 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/416854
OPTIMAL CONTENT IDENTIFICATION FOR LEARNING PATHS May 19, 2019 Abandoned
Array ( [id] => 19811173 [patent_doc_number] => 12242567 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-03-04 [patent_title] => Identifying salient features for generative networks [patent_app_type] => utility [patent_app_number] => 17/250506 [patent_app_country] => US [patent_app_date] => 2019-05-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 9 [patent_no_of_words] => 12117 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 143 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17250506 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/250506
Identifying salient features for generative networks May 15, 2019 Issued
Array ( [id] => 16994441 [patent_doc_number] => 20210232861 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-07-29 [patent_title] => CREATION DEVICE, CREATION METHOD, AND PROGRAM [patent_app_type] => utility [patent_app_number] => 17/051458 [patent_app_country] => US [patent_app_date] => 2019-05-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7477 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -3 [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] => 17051458 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/051458
CREATION DEVICE, CREATION METHOD, AND PROGRAM May 14, 2019 Abandoned
Array ( [id] => 16439542 [patent_doc_number] => 20200356868 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-11-12 [patent_title] => DEEP-LEARNING MODEL CATALOG CREATION [patent_app_type] => utility [patent_app_number] => 16/404141 [patent_app_country] => US [patent_app_date] => 2019-05-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6570 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 132 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16404141 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/404141
Deep-learning model catalog creation May 5, 2019 Issued
Array ( [id] => 16393615 [patent_doc_number] => 20200334556 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-22 [patent_title] => DYNAMIC PREFETCHING OF ONTOLOGIES BASED ON ML-BASED EXECUTION PATTERN RECOGNITION [patent_app_type] => utility [patent_app_number] => 16/386371 [patent_app_country] => US [patent_app_date] => 2019-04-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8520 [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] => 16386371 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/386371
DYNAMIC PREFETCHING OF ONTOLOGIES BASED ON ML-BASED EXECUTION PATTERN RECOGNITION Apr 16, 2019 Abandoned
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