Search

Eric Nilsson

Examiner (ID: 17749, Phone: (571)272-5246 , Office: P/2122 )

Most Active Art Unit
2122
Art Unit(s)
2198, 2151, 2122
Total Applications
592
Issued Applications
441
Pending Applications
69
Abandoned Applications
86

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 13557407 [patent_doc_number] => 20180330251 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-11-15 [patent_title] => Cognitive Interfaces for Use Within a Cognitive Environment [patent_app_type] => utility [patent_app_number] => 16/035918 [patent_app_country] => US [patent_app_date] => 2018-07-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14089 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 315 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16035918 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/035918
Cognitive interfaces for use within a cognitive environment Jul 15, 2018 Issued
Array ( [id] => 13569895 [patent_doc_number] => 20180336495 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-11-22 [patent_title] => AUTOMATICALLY PREDICTING THAT A PROPOSED ELECTRONIC MESSAGE IS FLAGGED BASED ON A PREDICTED HARD BOUNCE RATE [patent_app_type] => utility [patent_app_number] => 16/028977 [patent_app_country] => US [patent_app_date] => 2018-07-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7110 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 275 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16028977 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/028977
Automatically predicting that a proposed electronic message is flagged based on a predicted hard bounce rate Jul 5, 2018 Issued
Array ( [id] => 18189839 [patent_doc_number] => 11580431 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-02-14 [patent_title] => Methods for predicting likelihood of successful experimental synthesis of computer-generated materials by combining network analysis and machine learning [patent_app_type] => utility [patent_app_number] => 16/004232 [patent_app_country] => US [patent_app_date] => 2018-06-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 12 [patent_no_of_words] => 20139 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 136 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16004232 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/004232
Methods for predicting likelihood of successful experimental synthesis of computer-generated materials by combining network analysis and machine learning Jun 7, 2018 Issued
Array ( [id] => 15059871 [patent_doc_number] => 10460242 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2019-10-29 [patent_title] => System and method for clustering interest patterns based on a plurality of priority values [patent_app_type] => utility [patent_app_number] => 16/001375 [patent_app_country] => US [patent_app_date] => 2018-06-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 17 [patent_no_of_words] => 18399 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 823 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16001375 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/001375
System and method for clustering interest patterns based on a plurality of priority values Jun 5, 2018 Issued
Array ( [id] => 17238804 [patent_doc_number] => 11182685 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-11-23 [patent_title] => Interactions with virtual objects for machine control [patent_app_type] => utility [patent_app_number] => 16/000768 [patent_app_country] => US [patent_app_date] => 2018-06-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 24 [patent_figures_cnt] => 26 [patent_no_of_words] => 15431 [patent_no_of_claims] => 22 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 200 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16000768 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/000768
Interactions with virtual objects for machine control Jun 4, 2018 Issued
Array ( [id] => 17955545 [patent_doc_number] => 11481654 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-10-25 [patent_title] => Cognitive rule engine [patent_app_type] => utility [patent_app_number] => 15/984116 [patent_app_country] => US [patent_app_date] => 2018-05-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 31 [patent_figures_cnt] => 36 [patent_no_of_words] => 20626 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 386 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15984116 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/984116
Cognitive rule engine May 17, 2018 Issued
Array ( [id] => 13611923 [patent_doc_number] => 20180357511 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-12-13 [patent_title] => RECOMMENDING MACHINE LEARNING TECHNIQUES, FEATURES, AND FEATURE RELEVANCE SCORES [patent_app_type] => utility [patent_app_number] => 15/982565 [patent_app_country] => US [patent_app_date] => 2018-05-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12388 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 123 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15982565 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/982565
Recommending machine learning techniques, features, and feature relevance scores May 16, 2018 Issued
Array ( [id] => 13418329 [patent_doc_number] => 20180260707 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-09-13 [patent_title] => TRAINING NEURAL NETWORKS USING A PRIORITIZED EXPERIENCE MEMORY [patent_app_type] => utility [patent_app_number] => 15/977891 [patent_app_country] => US [patent_app_date] => 2018-05-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5711 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 143 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15977891 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/977891
Training neural networks using a prioritized experience memory May 10, 2018 Issued
Array ( [id] => 13418331 [patent_doc_number] => 20180260708 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-09-13 [patent_title] => ASYNCHRONOUS DEEP REINFORCEMENT LEARNING [patent_app_type] => utility [patent_app_number] => 15/977923 [patent_app_country] => US [patent_app_date] => 2018-05-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6215 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 337 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15977923 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/977923
Asynchronous deep reinforcement learning May 10, 2018 Issued
Array ( [id] => 18827001 [patent_doc_number] => 11842280 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-12-12 [patent_title] => Loss-scaling for deep neural network training with reduced precision [patent_app_type] => utility [patent_app_number] => 15/971884 [patent_app_country] => US [patent_app_date] => 2018-05-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 20 [patent_no_of_words] => 8804 [patent_no_of_claims] => 32 [patent_no_of_ind_claims] => 11 [patent_words_short_claim] => 35 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15971884 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/971884
Loss-scaling for deep neural network training with reduced precision May 3, 2018 Issued
Array ( [id] => 14331621 [patent_doc_number] => 10296831 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2019-05-21 [patent_title] => Learning radio signals using radio signal transformers [patent_app_type] => utility [patent_app_number] => 15/970510 [patent_app_country] => US [patent_app_date] => 2018-05-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 6 [patent_no_of_words] => 8606 [patent_no_of_claims] => 30 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 266 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15970510 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/970510
Learning radio signals using radio signal transformers May 2, 2018 Issued
Array ( [id] => 13512941 [patent_doc_number] => 20180308013 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-10-25 [patent_title] => RADIO SIGNAL IDENTIFICATION, IDENTIFICATION SYSTEM LEARNING, AND IDENTIFIER DEPLOYMENT [patent_app_type] => utility [patent_app_number] => 15/961465 [patent_app_country] => US [patent_app_date] => 2018-04-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14905 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 183 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15961465 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/961465
Radio signal identification, identification system learning, and identifier deployment Apr 23, 2018 Issued
Array ( [id] => 17892541 [patent_doc_number] => 11455512 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-09-27 [patent_title] => Representing graph edges using neural networks [patent_app_type] => utility [patent_app_number] => 15/946301 [patent_app_country] => US [patent_app_date] => 2018-04-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 8095 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 422 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15946301 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/946301
Representing graph edges using neural networks Apr 4, 2018 Issued
Array ( [id] => 13468297 [patent_doc_number] => 20180285691 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-10-04 [patent_title] => AUTOMATED AND CUSTOMIZED POST-PRODUCTION RELEASE REVIEW OF A MODEL [patent_app_type] => utility [patent_app_number] => 15/940082 [patent_app_country] => US [patent_app_date] => 2018-03-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8850 [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] => 15940082 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/940082
Automated and customized post-production release review of a model Mar 28, 2018 Issued
Array ( [id] => 14841427 [patent_doc_number] => 20190279114 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-09-12 [patent_title] => System and Method for Deploying and Versioning Machine Learning Models [patent_app_type] => utility [patent_app_number] => 15/916032 [patent_app_country] => US [patent_app_date] => 2018-03-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7387 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 112 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15916032 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/916032
System and method for deploying and versioning machine learning models Mar 7, 2018 Issued
Array ( [id] => 17716596 [patent_doc_number] => 11380594 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-07-05 [patent_title] => Automatic optimization of measurement accuracy through advanced machine learning techniques [patent_app_type] => utility [patent_app_number] => 15/903693 [patent_app_country] => US [patent_app_date] => 2018-02-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 7216 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 111 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15903693 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/903693
Automatic optimization of measurement accuracy through advanced machine learning techniques Feb 22, 2018 Issued
Array ( [id] => 15819811 [patent_doc_number] => 10635081 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-04-28 [patent_title] => Tool state estimation apparatus and machine tool [patent_app_type] => utility [patent_app_number] => 15/902560 [patent_app_country] => US [patent_app_date] => 2018-02-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 15 [patent_no_of_words] => 7001 [patent_no_of_claims] => 10 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 111 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15902560 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/902560
Tool state estimation apparatus and machine tool Feb 21, 2018 Issued
Array ( [id] => 14176499 [patent_doc_number] => 10262266 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2019-04-16 [patent_title] => Identifying and analyzing impact of an event on relationships [patent_app_type] => utility [patent_app_number] => 15/901040 [patent_app_country] => US [patent_app_date] => 2018-02-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 7454 [patent_no_of_claims] => 1 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 667 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15901040 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/901040
Identifying and analyzing impact of an event on relationships Feb 20, 2018 Issued
Array ( [id] => 14062673 [patent_doc_number] => 10235632 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2019-03-19 [patent_title] => Automatic claim reliability scorer based on extraction and evidence analysis [patent_app_type] => utility [patent_app_number] => 15/892752 [patent_app_country] => US [patent_app_date] => 2018-02-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 11122 [patent_no_of_claims] => 1 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 575 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15892752 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/892752
Automatic claim reliability scorer based on extraction and evidence analysis Feb 8, 2018 Issued
Array ( [id] => 13391299 [patent_doc_number] => 20180247192 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-08-30 [patent_title] => Mixed-Signal Circuitry For Computing Weighted Sum Computation [patent_app_type] => utility [patent_app_number] => 15/890402 [patent_app_country] => US [patent_app_date] => 2018-02-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10558 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 300 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15890402 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/890402
Mixed-signal circuitry for computing weighted sum computation Feb 6, 2018 Issued
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