
David G. Cormier
Examiner (ID: 9685, Phone: (571)270-7386 , Office: P/1711 )
| Most Active Art Unit | 1711 |
| Art Unit(s) | 1792, 1711 |
| Total Applications | 1059 |
| Issued Applications | 635 |
| Pending Applications | 92 |
| Abandoned Applications | 363 |
Applications
| Application number | Title of the application | Filing Date | Status |
|---|---|---|---|
Array
(
[id] => 17786904
[patent_doc_number] => 11410030
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2022-08-09
[patent_title] => Active imitation learning in high dimensional continuous environments
[patent_app_type] => utility
[patent_app_number] => 16/124138
[patent_app_country] => US
[patent_app_date] => 2018-09-06
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 6
[patent_figures_cnt] => 9
[patent_no_of_words] => 8058
[patent_no_of_claims] => 17
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 170
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16124138
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/124138 | Active imitation learning in high dimensional continuous environments | Sep 5, 2018 | Issued |
Array
(
[id] => 18174479
[patent_doc_number] => 11574193
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2023-02-07
[patent_title] => Method and system for training of neural networks using continuously differentiable models
[patent_app_type] => utility
[patent_app_number] => 16/122789
[patent_app_country] => US
[patent_app_date] => 2018-09-05
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 4
[patent_figures_cnt] => 9
[patent_no_of_words] => 4210
[patent_no_of_claims] => 18
[patent_no_of_ind_claims] => 4
[patent_words_short_claim] => 161
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16122789
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/122789 | Method and system for training of neural networks using continuously differentiable models | Sep 4, 2018 | Issued |
Array
(
[id] => 17771572
[patent_doc_number] => 11403516
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2022-08-02
[patent_title] => Apparatus and method for processing convolution operation of neural network
[patent_app_type] => utility
[patent_app_number] => 16/106902
[patent_app_country] => US
[patent_app_date] => 2018-08-21
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 13
[patent_figures_cnt] => 17
[patent_no_of_words] => 13179
[patent_no_of_claims] => 16
[patent_no_of_ind_claims] => 4
[patent_words_short_claim] => 270
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16106902
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/106902 | Apparatus and method for processing convolution operation of neural network | Aug 20, 2018 | Issued |
Array
(
[id] => 19260081
[patent_doc_number] => 12020141
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-06-25
[patent_title] => Deep learning apparatus for ANN having pipeline architecture
[patent_app_type] => utility
[patent_app_number] => 16/104081
[patent_app_country] => US
[patent_app_date] => 2018-08-16
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 17
[patent_figures_cnt] => 17
[patent_no_of_words] => 6746
[patent_no_of_claims] => 5
[patent_no_of_ind_claims] => 1
[patent_words_short_claim] => 968
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16104081
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/104081 | Deep learning apparatus for ANN having pipeline architecture | Aug 15, 2018 | Issued |
Array
(
[id] => 13907117
[patent_doc_number] => 20190042763
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2019-02-07
[patent_title] => MODEL TRAINING METHOD AND APPARATUS BASED ON DATA SHARING
[patent_app_type] => utility
[patent_app_number] => 16/053606
[patent_app_country] => US
[patent_app_date] => 2018-08-02
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 9137
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 161
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16053606
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/053606 | Model training method and apparatus based on data sharing | Aug 1, 2018 | Issued |
Array
(
[id] => 18119701
[patent_doc_number] => 11551096
[patent_country] => US
[patent_kind] => B1
[patent_issue_date] => 2023-01-10
[patent_title] => Automated design techniques
[patent_app_type] => utility
[patent_app_number] => 16/046294
[patent_app_country] => US
[patent_app_date] => 2018-07-26
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 9
[patent_figures_cnt] => 9
[patent_no_of_words] => 16459
[patent_no_of_claims] => 19
[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] => 16046294
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/046294 | Automated design techniques | Jul 25, 2018 | Issued |
Array
(
[id] => 13557357
[patent_doc_number] => 20180330226
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2018-11-15
[patent_title] => QUESTION RECOMMENDATION METHOD AND DEVICE
[patent_app_type] => utility
[patent_app_number] => 16/046800
[patent_app_country] => US
[patent_app_date] => 2018-07-26
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 4606
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 83
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16046800
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/046800 | QUESTION RECOMMENDATION METHOD AND DEVICE | Jul 25, 2018 | Abandoned |
Array
(
[id] => 13831187
[patent_doc_number] => 20190019078
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2019-01-17
[patent_title] => APPARATUS AND METHOD FOR DISTRIBUTING A QUESTION
[patent_app_type] => utility
[patent_app_number] => 16/034327
[patent_app_country] => US
[patent_app_date] => 2018-07-12
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 6093
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -12
[patent_words_short_claim] => 79
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16034327
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/034327 | APPARATUS AND METHOD FOR DISTRIBUTING A QUESTION | Jul 11, 2018 | Abandoned |
Array
(
[id] => 15350055
[patent_doc_number] => 20200012919
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2020-01-09
[patent_title] => Generating Predictions of Outcomes of Legal Arguments and Events Using Unstructured Natural Language Data
[patent_app_type] => utility
[patent_app_number] => 16/030650
[patent_app_country] => US
[patent_app_date] => 2018-07-09
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 6588
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -22
[patent_words_short_claim] => 247
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16030650
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/030650 | Generating Predictions of Outcomes of Legal Arguments and Events Using Unstructured Natural Language Data | Jul 8, 2018 | Abandoned |
Array
(
[id] => 17970572
[patent_doc_number] => 11488110
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2022-11-01
[patent_title] => Targeting delivery of recruiting messages
[patent_app_type] => utility
[patent_app_number] => 16/011477
[patent_app_country] => US
[patent_app_date] => 2018-06-18
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 8
[patent_figures_cnt] => 8
[patent_no_of_words] => 7710
[patent_no_of_claims] => 15
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 527
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16011477
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/011477 | Targeting delivery of recruiting messages | Jun 17, 2018 | Issued |
Array
(
[id] => 18303702
[patent_doc_number] => 11625609
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2023-04-11
[patent_title] => Integration of external applications into deep neural networks
[patent_app_type] => utility
[patent_app_number] => 16/008058
[patent_app_country] => US
[patent_app_date] => 2018-06-14
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 4
[patent_figures_cnt] => 7
[patent_no_of_words] => 6533
[patent_no_of_claims] => 17
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 104
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16008058
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/008058 | Integration of external applications into deep neural networks | Jun 13, 2018 | Issued |
Array
(
[id] => 15258535
[patent_doc_number] => 20190378001
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2019-12-12
[patent_title] => NEURAL NETWORK HARDWARE ACCELERATION WITH STOCHASTIC ADAPTIVE RESOURCE ALLOCATION
[patent_app_type] => utility
[patent_app_number] => 16/006497
[patent_app_country] => US
[patent_app_date] => 2018-06-12
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 9083
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 164
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16006497
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/006497 | Neural network hardware acceleration with stochastic adaptive resource allocation | Jun 11, 2018 | Issued |
Array
(
[id] => 18343034
[patent_doc_number] => 11640515
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2023-05-02
[patent_title] => Method and neural network system for human-computer interaction, and user equipment
[patent_app_type] => utility
[patent_app_number] => 15/993619
[patent_app_country] => US
[patent_app_date] => 2018-05-31
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 3
[patent_figures_cnt] => 6
[patent_no_of_words] => 10313
[patent_no_of_claims] => 23
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 268
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15993619
[rel_patent_id] =>[rel_patent_doc_number] =>) 15/993619 | Method and neural network system for human-computer interaction, and user equipment | May 30, 2018 | Issued |
Array
(
[id] => 13579893
[patent_doc_number] => 20180341495
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2018-11-29
[patent_title] => Hardware Accelerator for Convolutional Neural Networks and Method of Operation Thereof
[patent_app_type] => utility
[patent_app_number] => 15/990365
[patent_app_country] => US
[patent_app_date] => 2018-05-25
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 12466
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 215
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15990365
[rel_patent_id] =>[rel_patent_doc_number] =>) 15/990365 | Hardware accelerator for convolutional neural networks and method of operation thereof | May 24, 2018 | Issued |
Array
(
[id] => 17955494
[patent_doc_number] => 11481603
[patent_country] => US
[patent_kind] => B1
[patent_issue_date] => 2022-10-25
[patent_title] => System for deep learning using knowledge graphs
[patent_app_type] => utility
[patent_app_number] => 15/983666
[patent_app_country] => US
[patent_app_date] => 2018-05-18
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 14
[patent_figures_cnt] => 15
[patent_no_of_words] => 10745
[patent_no_of_claims] => 18
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 187
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15983666
[rel_patent_id] =>[rel_patent_doc_number] =>) 15/983666 | System for deep learning using knowledge graphs | May 17, 2018 | Issued |
Array
(
[id] => 19153055
[patent_doc_number] => 11977968
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-05-07
[patent_title] => Sparse processing in neural network processors
[patent_app_type] => utility
[patent_app_number] => 16/476261
[patent_app_country] => US
[patent_app_date] => 2018-04-17
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 12
[patent_figures_cnt] => 14
[patent_no_of_words] => 12793
[patent_no_of_claims] => 26
[patent_no_of_ind_claims] => 2
[patent_words_short_claim] => 277
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16476261
[rel_patent_id] =>[rel_patent_doc_number] =>) 16/476261 | Sparse processing in neural network processors | Apr 16, 2018 | Issued |
Array
(
[id] => 18607142
[patent_doc_number] => 11748610
[patent_country] => US
[patent_kind] => B1
[patent_issue_date] => 2023-09-05
[patent_title] => Building sequence to sequence (S2S) models using previously generated S2S models with similar use cases
[patent_app_type] => utility
[patent_app_number] => 15/934712
[patent_app_country] => US
[patent_app_date] => 2018-03-23
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 24
[patent_figures_cnt] => 24
[patent_no_of_words] => 22875
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 304
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15934712
[rel_patent_id] =>[rel_patent_doc_number] =>) 15/934712 | Building sequence to sequence (S2S) models using previously generated S2S models with similar use cases | Mar 22, 2018 | Issued |
Array
(
[id] => 13305141
[patent_doc_number] => 20180204107
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2018-07-19
[patent_title] => Cognitive-emotional conversational interaction system
[patent_app_type] => utility
[patent_app_number] => 15/920483
[patent_app_country] => US
[patent_app_date] => 2018-03-14
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 5611
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -10
[patent_words_short_claim] => 595
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15920483
[rel_patent_id] =>[rel_patent_doc_number] =>) 15/920483 | Cognitive-emotional conversational interaction system | Mar 13, 2018 | Abandoned |
Array
(
[id] => 14841345
[patent_doc_number] => 20190279073
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2019-09-12
[patent_title] => Computer Generated Determination of Patentability
[patent_app_type] => utility
[patent_app_number] => 15/914496
[patent_app_country] => US
[patent_app_date] => 2018-03-07
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 9019
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 82
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15914496
[rel_patent_id] =>[rel_patent_doc_number] =>) 15/914496 | Computer Generated Determination of Patentability | Mar 6, 2018 | Abandoned |
Array
(
[id] => 14811711
[patent_doc_number] => 20190272465
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2019-09-05
[patent_title] => REWARD ESTIMATION VIA STATE PREDICTION USING EXPERT DEMONSTRATIONS
[patent_app_type] => utility
[patent_app_number] => 15/909304
[patent_app_country] => US
[patent_app_date] => 2018-03-01
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 13455
[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] => 15909304
[rel_patent_id] =>[rel_patent_doc_number] =>) 15/909304 | REWARD ESTIMATION VIA STATE PREDICTION USING EXPERT DEMONSTRATIONS | Feb 28, 2018 | Abandoned |