Search

Daniel P. Stephenson

Examiner (ID: 2361, Phone: (571)272-7035 , Office: P/3676 )

Most Active Art Unit
3676
Art Unit(s)
3672, 3673, 3676
Total Applications
1976
Issued Applications
1654
Pending Applications
110
Abandoned Applications
235

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 16240721 [patent_doc_number] => 20200257955 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-08-13 [patent_title] => Customizable Chip for AI Applications [patent_app_type] => utility [patent_app_number] => 16/272997 [patent_app_country] => US [patent_app_date] => 2019-02-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7017 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16272997 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/272997
Customizable chip for AI applications Feb 10, 2019 Issued
Array ( [id] => 17558333 [patent_doc_number] => 11315044 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-04-26 [patent_title] => Multi dimensional scale analysis using machine learning [patent_app_type] => utility [patent_app_number] => 16/270614 [patent_app_country] => US [patent_app_date] => 2019-02-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 9156 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 171 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16270614 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/270614
Multi dimensional scale analysis using machine learning Feb 7, 2019 Issued
Array ( [id] => 15521257 [patent_doc_number] => 10567237 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-02-18 [patent_title] => System and methods for data evaluation through network sensitivity analysis [patent_app_type] => utility [patent_app_number] => 16/268516 [patent_app_country] => US [patent_app_date] => 2019-02-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 26 [patent_no_of_words] => 12393 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 224 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16268516 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/268516
System and methods for data evaluation through network sensitivity analysis Feb 5, 2019 Issued
Array ( [id] => 16478777 [patent_doc_number] => 10853727 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-12-01 [patent_title] => Machine learning system [patent_app_type] => utility [patent_app_number] => 16/486836 [patent_app_country] => US [patent_app_date] => 2019-02-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 28 [patent_figures_cnt] => 45 [patent_no_of_words] => 28414 [patent_no_of_claims] => 8 [patent_no_of_ind_claims] => 8 [patent_words_short_claim] => 56 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16486836 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/486836
Machine learning system Feb 4, 2019 Issued
Array ( [id] => 18073027 [patent_doc_number] => 11531861 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-12-20 [patent_title] => Neural architecture search with factorized hierarchical search space [patent_app_type] => utility [patent_app_number] => 16/258927 [patent_app_country] => US [patent_app_date] => 2019-01-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 12 [patent_figures_cnt] => 19 [patent_no_of_words] => 12198 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 296 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16258927 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/258927
Neural architecture search with factorized hierarchical search space Jan 27, 2019 Issued
Array ( [id] => 15013659 [patent_doc_number] => 10452980 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2019-10-22 [patent_title] => Learning method and learning device for extracting feature from input image by using convolutional layers in multiple blocks in CNN, resulting in hardware optimization which allows key performance index to be satisfied, and testing method and testing device using the same [patent_app_type] => utility [patent_app_number] => 16/258221 [patent_app_country] => US [patent_app_date] => 2019-01-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 11525 [patent_no_of_claims] => 24 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 355 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16258221 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/258221
Learning method and learning device for extracting feature from input image by using convolutional layers in multiple blocks in CNN, resulting in hardware optimization which allows key performance index to be satisfied, and testing method and testing device using the same Jan 24, 2019 Issued
Array ( [id] => 14826219 [patent_doc_number] => 10410120 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2019-09-10 [patent_title] => Learning method and testing method of object detector to be used for surveillance based on R-CNN capable of converting modes according to aspect ratios or scales of objects, and learning device and testing device using the same [patent_app_type] => utility [patent_app_number] => 16/258079 [patent_app_country] => US [patent_app_date] => 2019-01-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 8430 [patent_no_of_claims] => 28 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 325 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16258079 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/258079
Learning method and testing method of object detector to be used for surveillance based on R-CNN capable of converting modes according to aspect ratios or scales of objects, and learning device and testing device using the same Jan 24, 2019 Issued
Array ( [id] => 16018803 [patent_doc_number] => 20200184245 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-06-11 [patent_title] => IMPROPER NEURAL NETWORK INPUT DETECTION AND HANDLING [patent_app_type] => utility [patent_app_number] => 16/216485 [patent_app_country] => US [patent_app_date] => 2018-12-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10905 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 74 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16216485 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/216485
Improper neural network input detection and handling Dec 10, 2018 Issued
Array ( [id] => 14444587 [patent_doc_number] => 20190180167 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-06-13 [patent_title] => APPARATUS FOR PERFORMING CONVOLUTION OPERATIONS IN A CONVOLUTIONAL NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/215964 [patent_app_country] => US [patent_app_date] => 2018-12-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9444 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 220 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16215964 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/215964
Apparatus for performing convolution operations in a convolutional neural network Dec 10, 2018 Issued
Array ( [id] => 17907847 [patent_doc_number] => 11461702 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-10-04 [patent_title] => Method and system for fairness in artificial intelligence based decision making engines [patent_app_type] => utility [patent_app_number] => 16/209384 [patent_app_country] => US [patent_app_date] => 2018-12-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 7000 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 210 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16209384 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/209384
Method and system for fairness in artificial intelligence based decision making engines Dec 3, 2018 Issued
Array ( [id] => 18873675 [patent_doc_number] => 11861490 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-01-02 [patent_title] => Decoupled machine learning training [patent_app_type] => utility [patent_app_number] => 16/198726 [patent_app_country] => US [patent_app_date] => 2018-11-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 10 [patent_no_of_words] => 7903 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 152 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16198726 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/198726
Decoupled machine learning training Nov 20, 2018 Issued
Array ( [id] => 15908029 [patent_doc_number] => 20200153535 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-05-14 [patent_title] => REINFORCEMENT LEARNING BASED COGNITIVE ANTI-JAMMING COMMUNICATIONS SYSTEM AND METHOD [patent_app_type] => utility [patent_app_number] => 16/186169 [patent_app_country] => US [patent_app_date] => 2018-11-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16788 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 192 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16186169 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/186169
REINFORCEMENT LEARNING BASED COGNITIVE ANTI-JAMMING COMMUNICATIONS SYSTEM AND METHOD Nov 8, 2018 Abandoned
Array ( [id] => 17001629 [patent_doc_number] => 11080441 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-08-03 [patent_title] => Supervised training data generation for interior environment simulation [patent_app_type] => utility [patent_app_number] => 16/158267 [patent_app_country] => US [patent_app_date] => 2018-10-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 19 [patent_no_of_words] => 7499 [patent_no_of_claims] => 22 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 105 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16158267 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/158267
Supervised training data generation for interior environment simulation Oct 10, 2018 Issued
Array ( [id] => 14998565 [patent_doc_number] => 20190318240 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-10-17 [patent_title] => TRAINING MACHINE LEARNING MODELS IN DISTRIBUTED COMPUTING SYSTEMS [patent_app_type] => utility [patent_app_number] => 16/154562 [patent_app_country] => US [patent_app_date] => 2018-10-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14240 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 173 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16154562 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/154562
TRAINING MACHINE LEARNING MODELS IN DISTRIBUTED COMPUTING SYSTEMS Oct 7, 2018 Abandoned
Array ( [id] => 17277067 [patent_doc_number] => 20210383265 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-09 [patent_title] => EMPIRICAL RISK ESTIMATION SYSTEM, EMPIRICAL RISK ESTIMATION METHOD, AND EMPIRICAL RISK ESTIMATION PROGRAM [patent_app_type] => utility [patent_app_number] => 17/280413 [patent_app_country] => US [patent_app_date] => 2018-09-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7347 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -3 [patent_words_short_claim] => 80 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17280413 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/280413
EMPIRICAL RISK ESTIMATION SYSTEM, EMPIRICAL RISK ESTIMATION METHOD, AND EMPIRICAL RISK ESTIMATION PROGRAM Sep 27, 2018 Abandoned
Array ( [id] => 15715729 [patent_doc_number] => 20200104631 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-02 [patent_title] => GENERATING VECTOR REPRESENTATIONS OF CODE CAPTURING SEMANTIC SIMILARITY [patent_app_type] => utility [patent_app_number] => 16/143701 [patent_app_country] => US [patent_app_date] => 2018-09-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4528 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 210 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16143701 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/143701
Generating vector representations of code capturing semantic similarity Sep 26, 2018 Issued
Array ( [id] => 19045834 [patent_doc_number] => 11934949 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-19 [patent_title] => Composite binary decomposition network [patent_app_type] => utility [patent_app_number] => 16/973608 [patent_app_country] => US [patent_app_date] => 2018-09-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 13 [patent_figures_cnt] => 14 [patent_no_of_words] => 10063 [patent_no_of_claims] => 25 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 132 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16973608 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/973608
Composite binary decomposition network Sep 26, 2018 Issued
Array ( [id] => 15715739 [patent_doc_number] => 20200104636 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-02 [patent_title] => Encrypted Data Model Verification [patent_app_type] => utility [patent_app_number] => 16/143887 [patent_app_country] => US [patent_app_date] => 2018-09-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13662 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 104 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16143887 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/143887
Encrypted data model verification Sep 26, 2018 Issued
Array ( [id] => 15595603 [patent_doc_number] => 20200074336 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-03-05 [patent_title] => COMPUTER ASSISTED IDENTIFICATION OF INTERMEDIATE LEVEL THREATS [patent_app_type] => utility [patent_app_number] => 16/128953 [patent_app_country] => US [patent_app_date] => 2018-09-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 25520 [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] => 16128953 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/128953
Computer assisted identification of intermediate level threats Sep 11, 2018 Issued
Array ( [id] => 15595521 [patent_doc_number] => 20200074295 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-03-05 [patent_title] => DEEP LEARNING FOR PARTIAL DIFFERENTIAL EQUATION (PDE) BASED MODELS [patent_app_type] => utility [patent_app_number] => 16/121315 [patent_app_country] => US [patent_app_date] => 2018-09-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9226 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 52 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16121315 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/121315
Deep learning for partial differential equation (PDE) based models Sep 3, 2018 Issued
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