Search

Ryan J. Rink

Examiner (ID: 4261, Phone: (571)272-4863 , Office: P/3664 )

Most Active Art Unit
3664
Art Unit(s)
3619, 3664
Total Applications
570
Issued Applications
435
Pending Applications
46
Abandoned Applications
106

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 14189703 [patent_doc_number] => 20190114557 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-04-18 [patent_title] => UNIFIED NONLINEAR MODELING APPOACH FOR MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE (ATTRACTOR ASSISTED AI) [patent_app_type] => utility [patent_app_number] => 16/161840 [patent_app_country] => US [patent_app_date] => 2018-10-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13473 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -23 [patent_words_short_claim] => 63 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16161840 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/161840
Unified nonlinear modeling approach for machine learning and artificial intelligence (attractor assisted AI) Oct 15, 2018 Issued
Array ( [id] => 14507493 [patent_doc_number] => 20190197401 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-27 [patent_title] => Aberrant Splicing Detection Using Convolutional Neural Networks (CNNs) [patent_app_type] => utility [patent_app_number] => 16/160984 [patent_app_country] => US [patent_app_date] => 2018-10-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18315 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 162 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16160984 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/160984
Aberrant splicing detection using convolutional neural networks (CNNs) Oct 14, 2018 Issued
Array ( [id] => 18073054 [patent_doc_number] => 11531888 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-12-20 [patent_title] => Method, device and computer program for creating a deep neural network [patent_app_type] => utility [patent_app_number] => 16/757186 [patent_app_country] => US [patent_app_date] => 2018-10-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 5 [patent_no_of_words] => 5457 [patent_no_of_claims] => 14 [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] => 16757186 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/757186
Method, device and computer program for creating a deep neural network Oct 14, 2018 Issued
Array ( [id] => 15715859 [patent_doc_number] => 20200104697 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-02 [patent_title] => GENERATING HOMOGENOUS USER EMBEDDING REPRESENTATIONS FROM HETEROGENEOUS USER INTERACTION DATA USING A NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/149347 [patent_app_country] => US [patent_app_date] => 2018-10-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16530 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 88 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16149347 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/149347
Generating homogenous user embedding representations from heterogeneous user interaction data using a neural network Oct 1, 2018 Issued
Array ( [id] => 17847103 [patent_doc_number] => 11436481 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-09-06 [patent_title] => Systems and methods for named entity recognition [patent_app_type] => utility [patent_app_number] => 16/134957 [patent_app_country] => US [patent_app_date] => 2018-09-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 12 [patent_no_of_words] => 12699 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 201 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16134957 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/134957
Systems and methods for named entity recognition Sep 17, 2018 Issued
Array ( [id] => 15426617 [patent_doc_number] => 10546240 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-01-28 [patent_title] => Feature and case importance and confidence for imputation in computer-based reasoning systems [patent_app_type] => utility [patent_app_number] => 16/130866 [patent_app_country] => US [patent_app_date] => 2018-09-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 13955 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 303 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16130866 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/130866
Feature and case importance and confidence for imputation in computer-based reasoning systems Sep 12, 2018 Issued
Array ( [id] => 14136573 [patent_doc_number] => 20190102676 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-04-04 [patent_title] => METHODS AND SYSTEMS FOR REINFORCEMENT LEARNING [patent_app_type] => utility [patent_app_number] => 16/127716 [patent_app_country] => US [patent_app_date] => 2018-09-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20203 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -27 [patent_words_short_claim] => 253 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16127716 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/127716
Methods and systems for reinforcement learning Sep 10, 2018 Issued
Array ( [id] => 14236281 [patent_doc_number] => 20190130313 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-05-02 [patent_title] => ENGINEERING DATA ANALYTICS PLATFORMS USING MACHINE LEARNING [patent_app_type] => utility [patent_app_number] => 16/120140 [patent_app_country] => US [patent_app_date] => 2018-08-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7730 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 191 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16120140 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/120140
Engineering data analytics platforms using machine learning Aug 30, 2018 Issued
Array ( [id] => 17516041 [patent_doc_number] => 11295197 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-04-05 [patent_title] => Facilitating extraction of individual customer level rationales utilizing deep learning neural networks coupled with interpretability-oriented feature engineering and post-processing [patent_app_type] => utility [patent_app_number] => 16/113734 [patent_app_country] => US [patent_app_date] => 2018-08-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 8015 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 165 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16113734 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/113734
Facilitating extraction of individual customer level rationales utilizing deep learning neural networks coupled with interpretability-oriented feature engineering and post-processing Aug 26, 2018 Issued
Array ( [id] => 18130563 [patent_doc_number] => 11556774 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-01-17 [patent_title] => Method and system for forecasting in sparse data streams via dense data streams [patent_app_type] => utility [patent_app_number] => 16/112768 [patent_app_country] => US [patent_app_date] => 2018-08-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 12 [patent_no_of_words] => 8701 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [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] => 16112768 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/112768
Method and system for forecasting in sparse data streams via dense data streams Aug 26, 2018 Issued
Array ( [id] => 14048255 [patent_doc_number] => 20190080234 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-03-14 [patent_title] => SEMANTIC SIGNATURES [patent_app_type] => utility [patent_app_number] => 16/109280 [patent_app_country] => US [patent_app_date] => 2018-08-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5970 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 115 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16109280 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/109280
Semantic signatures Aug 21, 2018 Issued
Array ( [id] => 15562473 [patent_doc_number] => 20200065648 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-02-27 [patent_title] => Neural Network Architecture with Concurrent Uncertainty Output [patent_app_type] => utility [patent_app_number] => 16/107382 [patent_app_country] => US [patent_app_date] => 2018-08-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5162 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 93 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16107382 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/107382
Neural network architecture with concurrent uncertainty output Aug 20, 2018 Issued
Array ( [id] => 18720492 [patent_doc_number] => 11797838 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-10-24 [patent_title] => Efficient convolutional network for recommender systems [patent_app_type] => utility [patent_app_number] => 16/101184 [patent_app_country] => US [patent_app_date] => 2018-08-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 12 [patent_figures_cnt] => 17 [patent_no_of_words] => 8676 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 279 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16101184 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/101184
Efficient convolutional network for recommender systems Aug 9, 2018 Issued
Array ( [id] => 18087737 [patent_doc_number] => 11537874 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-12-27 [patent_title] => Deep factor models with random effects for forecasting [patent_app_type] => utility [patent_app_number] => 16/101118 [patent_app_country] => US [patent_app_date] => 2018-08-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 18272 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 120 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16101118 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/101118
Deep factor models with random effects for forecasting Aug 9, 2018 Issued
Array ( [id] => 18136542 [patent_doc_number] => 11562224 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-01-24 [patent_title] => 1D-CNN-based distributed optical fiber sensing signal feature learning and classification method [patent_app_type] => utility [patent_app_number] => 16/057828 [patent_app_country] => US [patent_app_date] => 2018-08-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 18 [patent_no_of_words] => 7021 [patent_no_of_claims] => 12 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 405 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16057828 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/057828
1D-CNN-based distributed optical fiber sensing signal feature learning and classification method Aug 7, 2018 Issued
Array ( [id] => 15198853 [patent_doc_number] => 10496924 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2019-12-03 [patent_title] => Dictionary DGA detector model [patent_app_type] => utility [patent_app_number] => 16/057804 [patent_app_country] => US [patent_app_date] => 2018-08-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 8092 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 298 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16057804 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/057804
Dictionary DGA detector model Aug 6, 2018 Issued
Array ( [id] => 13876491 [patent_doc_number] => 20190034586 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-01-31 [patent_title] => Methods of Profiling Mass Spectral Data Using Neural Networks [patent_app_type] => utility [patent_app_number] => 16/049651 [patent_app_country] => US [patent_app_date] => 2018-07-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4851 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -4 [patent_words_short_claim] => 71 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16049651 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/049651
Methods of profiling mass spectral data using neural networks Jul 29, 2018 Issued
Array ( [id] => 13878331 [patent_doc_number] => 20190035506 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-01-31 [patent_title] => INTELLIGENT AUXILIARY DIAGNOSIS METHOD, SYSTEM AND MACHINE-READABLE MEDIUM THEREOF [patent_app_type] => utility [patent_app_number] => 16/049787 [patent_app_country] => US [patent_app_date] => 2018-07-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10454 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 118 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16049787 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/049787
INTELLIGENT AUXILIARY DIAGNOSIS METHOD, SYSTEM AND MACHINE-READABLE MEDIUM THEREOF Jul 29, 2018 Abandoned
Array ( [id] => 18087735 [patent_doc_number] => 11537872 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-12-27 [patent_title] => Imitation learning by action shaping with antagonist reinforcement learning [patent_app_type] => utility [patent_app_number] => 16/048810 [patent_app_country] => US [patent_app_date] => 2018-07-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 5804 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [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] => 16048810 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/048810
Imitation learning by action shaping with antagonist reinforcement learning Jul 29, 2018 Issued
Array ( [id] => 15441037 [patent_doc_number] => 20200034702 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-01-30 [patent_title] => TRAINING OF STUDENT NEURAL NETWORK WITH SWITCHED TEACHER NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/047287 [patent_app_country] => US [patent_app_date] => 2018-07-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6965 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 66 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16047287 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/047287
Training of student neural network with switched teacher neural networks Jul 26, 2018 Issued
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