Search

Chae M. Ko

Examiner (ID: 17907, Phone: (571)270-3886 , Office: P/2114 )

Most Active Art Unit
2114
Art Unit(s)
2114
Total Applications
911
Issued Applications
807
Pending Applications
40
Abandoned Applications
78

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 19358838 [patent_doc_number] => 20240260872 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-08-08 [patent_title] => SYSTEM AND METHOD FOR QUANTIFYING A MENTAL STATE [patent_app_type] => utility [patent_app_number] => 18/565061 [patent_app_country] => US [patent_app_date] => 2021-05-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3832 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [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] => 18565061 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/565061
SYSTEM AND METHOD FOR QUANTIFYING A MENTAL STATE May 27, 2021 Pending
Array ( [id] => 18007467 [patent_doc_number] => 20220366233 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-11-17 [patent_title] => SYSTEMS AND METHODS FOR GENERATING DYNAMIC CONVERSATIONAL RESPONSES USING DEEP CONDITIONAL LEARNING [patent_app_type] => utility [patent_app_number] => 17/316998 [patent_app_country] => US [patent_app_date] => 2021-05-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8592 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 169 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17316998 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/316998
Systems and methods for generating dynamic conversational responses using deep conditional learning May 10, 2021 Issued
Array ( [id] => 18007456 [patent_doc_number] => 20220366222 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-11-17 [patent_title] => SYSTEM, METHOD AND STORAGE MEDIUM FOR PROCESSING PROBABILITY DISTRIBUTIONS IN NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 17/302745 [patent_app_country] => US [patent_app_date] => 2021-05-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7835 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 189 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17302745 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/302745
System, method and storage medium for processing probability distributions in neural networks May 10, 2021 Issued
Array ( [id] => 17565600 [patent_doc_number] => 20220129749 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-04-28 [patent_title] => Training a Neural Network using Graph-Based Temporal Classification [patent_app_type] => utility [patent_app_number] => 17/235074 [patent_app_country] => US [patent_app_date] => 2021-04-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18585 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 229 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17235074 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/235074
Training a neural network using graph-based temporal classification Apr 19, 2021 Issued
Array ( [id] => 20228752 [patent_doc_number] => 12417405 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-16 [patent_title] => Training a machine learning model for hardware component identification [patent_app_type] => utility [patent_app_number] => 17/213120 [patent_app_country] => US [patent_app_date] => 2021-03-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 2375 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 419 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17213120 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/213120
Training a machine learning model for hardware component identification Mar 24, 2021 Issued
Array ( [id] => 17885360 [patent_doc_number] => 20220300837 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-22 [patent_title] => DATA MARK CLASSIFICATION TO VERIFY DATA REMOVAL [patent_app_type] => utility [patent_app_number] => 17/208498 [patent_app_country] => US [patent_app_date] => 2021-03-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15311 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 17208498 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/208498
Data mark classification to verify data removal Mar 21, 2021 Issued
Array ( [id] => 17885345 [patent_doc_number] => 20220300822 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-22 [patent_title] => FORGETTING DATA SAMPLES FROM PRETRAINED NEURAL NETWORK MODELS [patent_app_type] => utility [patent_app_number] => 17/204485 [patent_app_country] => US [patent_app_date] => 2021-03-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9736 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 293 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17204485 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/204485
FORGETTING DATA SAMPLES FROM PRETRAINED NEURAL NETWORK MODELS Mar 16, 2021 Abandoned
Array ( [id] => 17869669 [patent_doc_number] => 20220292406 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-15 [patent_title] => ANALYZING AND ENABLING SHIFTS IN GROUP DYNAMICS [patent_app_type] => utility [patent_app_number] => 17/199918 [patent_app_country] => US [patent_app_date] => 2021-03-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7508 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 153 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17199918 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/199918
ANALYZING AND ENABLING SHIFTS IN GROUP DYNAMICS Mar 11, 2021 Pending
Array ( [id] => 17098753 [patent_doc_number] => 20210286544 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-16 [patent_title] => ECONOMIC LONG SHORT-TERM MEMORY FOR RECURRENT NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 17/197401 [patent_app_country] => US [patent_app_date] => 2021-03-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3291 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [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] => 17197401 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/197401
ECONOMIC LONG SHORT-TERM MEMORY FOR RECURRENT NEURAL NETWORKS Mar 9, 2021 Abandoned
Array ( [id] => 20703433 [patent_doc_number] => 12626146 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-05-12 [patent_title] => Data pruning in tree-based fitted Q iteration [patent_app_type] => utility [patent_app_number] => 17/192308 [patent_app_country] => US [patent_app_date] => 2021-03-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 1124 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [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] => 17192308 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/192308
Data pruning in tree-based fitted Q iteration Mar 3, 2021 Issued
Array ( [id] => 20716925 [patent_doc_number] => 12632175 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-05-19 [patent_title] => Stochastic risk scoring with counterfactual analysis for storage capacity [patent_app_type] => utility [patent_app_number] => 17/178504 [patent_app_country] => US [patent_app_date] => 2021-02-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 1899 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 265 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17178504 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/178504
Stochastic risk scoring with counterfactual analysis for storage capacity Feb 17, 2021 Issued
Array ( [id] => 20745996 [patent_doc_number] => 12645910 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-06-02 [patent_title] => Neural architecture scaling for hardware accelerators [patent_app_type] => utility [patent_app_number] => 17/175029 [patent_app_country] => US [patent_app_date] => 2021-02-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 7579 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 338 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17175029 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/175029
Neural architecture scaling for hardware accelerators Feb 11, 2021 Issued
Array ( [id] => 17794589 [patent_doc_number] => 20220253681 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-08-11 [patent_title] => COMPACT WORKLOAD REPRESENTATION OF MEMORY SYSTEM [patent_app_type] => utility [patent_app_number] => 17/173378 [patent_app_country] => US [patent_app_date] => 2021-02-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7844 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 100 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17173378 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/173378
Compact workload representation of memory system Feb 10, 2021 Issued
Array ( [id] => 17794633 [patent_doc_number] => 20220253725 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-08-11 [patent_title] => MACHINE LEARNING MODEL FOR ENTITY RESOLUTION [patent_app_type] => utility [patent_app_number] => 17/172863 [patent_app_country] => US [patent_app_date] => 2021-02-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12189 [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] => 17172863 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/172863
Machine learning model for entity resolution Feb 9, 2021 Issued
Array ( [id] => 17144315 [patent_doc_number] => 20210312328 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-10-07 [patent_title] => NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, LEARNING METHOD, AND LEARNING APPARATUS [patent_app_type] => utility [patent_app_number] => 17/168569 [patent_app_country] => US [patent_app_date] => 2021-02-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12051 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 131 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17168569 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/168569
NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, LEARNING METHOD, AND LEARNING APPARATUS Feb 4, 2021 Abandoned
Array ( [id] => 19905853 [patent_doc_number] => 12282862 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-04-22 [patent_title] => Method and system for providing a graphical user interface using machine learning and movement of the user or user device [patent_app_type] => utility [patent_app_number] => 17/167790 [patent_app_country] => US [patent_app_date] => 2021-02-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 23 [patent_figures_cnt] => 44 [patent_no_of_words] => 13329 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 441 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17167790 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/167790
Method and system for providing a graphical user interface using machine learning and movement of the user or user device Feb 3, 2021 Issued
Array ( [id] => 18253196 [patent_doc_number] => 20230080235 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-03-16 [patent_title] => ADAPTING MODELS FOR ARTIFICIAL INTELLIGENCE [patent_app_type] => utility [patent_app_number] => 17/760311 [patent_app_country] => US [patent_app_date] => 2021-02-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8355 [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] => 17760311 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/760311
ADAPTING MODELS FOR ARTIFICIAL INTELLIGENCE Jan 31, 2021 Pending
Array ( [id] => 17751885 [patent_doc_number] => 20220230090 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-07-21 [patent_title] => RISK ASSESSMENT OF A PROPOSED CHANGE IN A COMPUTING ENVIRONMENT [patent_app_type] => utility [patent_app_number] => 17/150657 [patent_app_country] => US [patent_app_date] => 2021-01-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14491 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -20 [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] => 17150657 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/150657
Risk assessment of a proposed change in a computing environment Jan 14, 2021 Issued
Array ( [id] => 17722564 [patent_doc_number] => 20220215286 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-07-07 [patent_title] => ACTIVE LEARNING IMPROVING SIMILAR TASK RECOMMENDATIONS [patent_app_type] => utility [patent_app_number] => 17/140697 [patent_app_country] => US [patent_app_date] => 2021-01-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6612 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 92 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17140697 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/140697
ACTIVE LEARNING IMPROVING SIMILAR TASK RECOMMENDATIONS Jan 3, 2021 Pending
Array ( [id] => 20703423 [patent_doc_number] => 12626136 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-05-12 [patent_title] => Matrix inversion using analog resistive crossbar array hardware [patent_app_type] => utility [patent_app_number] => 17/134814 [patent_app_country] => US [patent_app_date] => 2020-12-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 11 [patent_no_of_words] => 8507 [patent_no_of_claims] => 25 [patent_no_of_ind_claims] => 5 [patent_words_short_claim] => 305 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17134814 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/134814
Matrix inversion using analog resistive crossbar array hardware Dec 27, 2020 Issued
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