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Xuong My Chung Trans

Examiner (ID: 553, Phone: (571)272-2002 , Office: P/2833 )

Most Active Art Unit
2833
Art Unit(s)
2833, 2181, 2308, 2311, 2781, 2411, 2305, 2301
Total Applications
1450
Issued Applications
1154
Pending Applications
43
Abandoned Applications
257

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 17877636 [patent_doc_number] => 11449652 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-09-20 [patent_title] => Generating digital models of nutrients available to a crop over the course of the crop's development based on weather and soil data [patent_app_type] => utility [patent_app_number] => 16/743945 [patent_app_country] => US [patent_app_date] => 2020-01-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 26383 [patent_no_of_claims] => 30 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 239 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16743945 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/743945
Generating digital models of nutrients available to a crop over the course of the crop's development based on weather and soil data Jan 14, 2020 Issued
Array ( [id] => 16161465 [patent_doc_number] => 20200218965 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-09 [patent_title] => ACCELERATING PARALLEL PROCESSING OF DATA IN A RECURRENT NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/734647 [patent_app_country] => US [patent_app_date] => 2020-01-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6426 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 30 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16734647 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/734647
Accelerating parallel processing of data in a recurrent neural network Jan 5, 2020 Issued
Array ( [id] => 18546719 [patent_doc_number] => 11720068 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-08-08 [patent_title] => Autonomous industrial process control system and method that provides autonomous retraining of forecast model [patent_app_type] => utility [patent_app_number] => 16/735399 [patent_app_country] => US [patent_app_date] => 2020-01-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 13217 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 252 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16735399 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/735399
Autonomous industrial process control system and method that provides autonomous retraining of forecast model Jan 5, 2020 Issued
Array ( [id] => 18781170 [patent_doc_number] => 11822913 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-11-21 [patent_title] => Dynamic artificial intelligence / machine learning model update, or retrain and update, in digital processes at runtime [patent_app_type] => utility [patent_app_number] => 16/722301 [patent_app_country] => US [patent_app_date] => 2019-12-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 18 [patent_no_of_words] => 9476 [patent_no_of_claims] => 29 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 169 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16722301 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/722301
Dynamic artificial intelligence / machine learning model update, or retrain and update, in digital processes at runtime Dec 19, 2019 Issued
Array ( [id] => 18386296 [patent_doc_number] => 11657079 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-05-23 [patent_title] => System and method for identifying social trends [patent_app_type] => utility [patent_app_number] => 16/699037 [patent_app_country] => US [patent_app_date] => 2019-11-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 4347 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 169 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16699037 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/699037
System and method for identifying social trends Nov 27, 2019 Issued
Array ( [id] => 16810656 [patent_doc_number] => 20210133211 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-06 [patent_title] => Adaptive Usage of Storage Resources Using Data Source Models and Data Source Representations [patent_app_type] => utility [patent_app_number] => 16/671791 [patent_app_country] => US [patent_app_date] => 2019-11-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6926 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 108 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16671791 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/671791
Adaptive usage of storage resources using data source models and data source representations Oct 31, 2019 Issued
Array ( [id] => 17484891 [patent_doc_number] => 20220092395 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-24 [patent_title] => COMPUTING DEVICE [patent_app_type] => utility [patent_app_number] => 17/420823 [patent_app_country] => US [patent_app_date] => 2019-10-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7311 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [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] => 17420823 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/420823
COMPUTING DEVICE Oct 10, 2019 Pending
Array ( [id] => 18291641 [patent_doc_number] => 11620512 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-04-04 [patent_title] => Deep segment personalization [patent_app_type] => utility [patent_app_number] => 16/588885 [patent_app_country] => US [patent_app_date] => 2019-09-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 12392 [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] => 16588885 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/588885
Deep segment personalization Sep 29, 2019 Issued
Array ( [id] => 15983151 [patent_doc_number] => 10671909 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-06-02 [patent_title] => Decreasing neural network inference times using softmax approximation [patent_app_type] => utility [patent_app_number] => 16/586702 [patent_app_country] => US [patent_app_date] => 2019-09-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 7017 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 119 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16586702 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/586702
Decreasing neural network inference times using softmax approximation Sep 26, 2019 Issued
Array ( [id] => 16637310 [patent_doc_number] => 10915821 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-02-09 [patent_title] => Interaction content system and method utilizing knowledge landscape map [patent_app_type] => utility [patent_app_number] => 16/584441 [patent_app_country] => US [patent_app_date] => 2019-09-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 20 [patent_figures_cnt] => 20 [patent_no_of_words] => 17057 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 235 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16584441 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/584441
Interaction content system and method utilizing knowledge landscape map Sep 25, 2019 Issued
Array ( [id] => 17847152 [patent_doc_number] => 11436530 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-09-06 [patent_title] => Classifying user behavior as anomalous [patent_app_type] => utility [patent_app_number] => 16/575279 [patent_app_country] => US [patent_app_date] => 2019-09-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 10 [patent_no_of_words] => 8874 [patent_no_of_claims] => 12 [patent_no_of_ind_claims] => 3 [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] => 16575279 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/575279
Classifying user behavior as anomalous Sep 17, 2019 Issued
Array ( [id] => 15350117 [patent_doc_number] => 20200012950 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-01-09 [patent_title] => SYSTEMS AND METHODS FOR REDUCING MANUFACTURING FAILURE RATES [patent_app_type] => utility [patent_app_number] => 16/573953 [patent_app_country] => US [patent_app_date] => 2019-09-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13656 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 218 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16573953 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/573953
Systems and methods for reducing manufacturing failure rates Sep 16, 2019 Issued
Array ( [id] => 16691196 [patent_doc_number] => 20210073674 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-11 [patent_title] => AUTOMATED EXPLAINER OF REINFORCEMENT LEARNING ACTIONS USING OCCUPATION MEASURES [patent_app_type] => utility [patent_app_number] => 16/566907 [patent_app_country] => US [patent_app_date] => 2019-09-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5033 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 43 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16566907 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/566907
AUTOMATED EXPLAINER OF REINFORCEMENT LEARNING ACTIONS USING OCCUPATION MEASURES Sep 10, 2019 Pending
Array ( [id] => 17786599 [patent_doc_number] => 11409723 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-08-09 [patent_title] => Detecting interesting decision rules in tree ensembles [patent_app_type] => utility [patent_app_number] => 16/548210 [patent_app_country] => US [patent_app_date] => 2019-08-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 10 [patent_no_of_words] => 10285 [patent_no_of_claims] => 5 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 421 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16548210 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/548210
Detecting interesting decision rules in tree ensembles Aug 21, 2019 Issued
Array ( [id] => 15257971 [patent_doc_number] => 20190377719 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-12 [patent_title] => Detecting Interesting Decision Rules in Tree Ensembles [patent_app_type] => utility [patent_app_number] => 16/547987 [patent_app_country] => US [patent_app_date] => 2019-08-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10284 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [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] => 16547987 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/547987
Detecting interesting decision rules in tree ensembles Aug 21, 2019 Issued
Array ( [id] => 15258621 [patent_doc_number] => 20190378044 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-12 [patent_title] => PROCESSING DYNAMIC DATA WITHIN AN ADAPTIVE ORACLE-TRAINED LEARNING SYSTEM USING CURATED TRAINING DATA FOR INCREMENTAL RE-TRAINING OF A PREDICTIVE MODEL [patent_app_type] => utility [patent_app_number] => 16/547340 [patent_app_country] => US [patent_app_date] => 2019-08-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11635 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [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] => 16547340 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/547340
PROCESSING DYNAMIC DATA WITHIN AN ADAPTIVE ORACLE-TRAINED LEARNING SYSTEM USING CURATED TRAINING DATA FOR INCREMENTAL RE-TRAINING OF A PREDICTIVE MODEL Aug 20, 2019 Abandoned
Array ( [id] => 17516065 [patent_doc_number] => 11295221 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-04-05 [patent_title] => Learning user preferences in a conversational system [patent_app_type] => utility [patent_app_number] => 16/539345 [patent_app_country] => US [patent_app_date] => 2019-08-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 8533 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 167 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16539345 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/539345
Learning user preferences in a conversational system Aug 12, 2019 Issued
Array ( [id] => 18839502 [patent_doc_number] => 11847576 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-12-19 [patent_title] => Methods and system for managing predictive models [patent_app_type] => utility [patent_app_number] => 16/538706 [patent_app_country] => US [patent_app_date] => 2019-08-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 5596 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 96 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16538706 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/538706
Methods and system for managing predictive models Aug 11, 2019 Issued
Array ( [id] => 15501493 [patent_doc_number] => 20200050935 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-02-13 [patent_title] => DEEP LEARNING MODEL EXECUTION USING TAGGED DATA [patent_app_type] => utility [patent_app_number] => 16/537242 [patent_app_country] => US [patent_app_date] => 2019-08-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8163 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 91 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16537242 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/537242
DEEP LEARNING MODEL EXECUTION USING TAGGED DATA Aug 8, 2019 Pending
Array ( [id] => 17106692 [patent_doc_number] => 11126911 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-09-21 [patent_title] => Organizing neural networks [patent_app_type] => utility [patent_app_number] => 16/528807 [patent_app_country] => US [patent_app_date] => 2019-08-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 31 [patent_no_of_words] => 11980 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 122 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16528807 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/528807
Organizing neural networks Jul 31, 2019 Issued
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