Search

Benjamin P. Geib

Examiner (ID: 3885, Phone: (571)272-8628 , Office: P/2183 )

Most Active Art Unit
2183
Art Unit(s)
2183, 2181, 2123
Total Applications
705
Issued Applications
612
Pending Applications
10
Abandoned Applications
93

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 16171993 [patent_doc_number] => 10713567 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-07-14 [patent_title] => Apparatus and method for executing reversal training of artificial neural network [patent_app_type] => utility [patent_app_number] => 16/038872 [patent_app_country] => US [patent_app_date] => 2018-07-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 5872 [patent_no_of_claims] => 18 [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] => 16038872 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/038872
Apparatus and method for executing reversal training of artificial neural network Jul 17, 2018 Issued
Array ( [id] => 13906073 [patent_doc_number] => 20190042241 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-02-07 [patent_title] => APPARATUS AND METHOD FOR A TENSOR PERMUTATION ENGINE [patent_app_type] => utility [patent_app_number] => 16/024530 [patent_app_country] => US [patent_app_date] => 2018-06-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15402 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -20 [patent_words_short_claim] => 146 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16024530 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/024530
Apparatus and method for a tensor permutation engine Jun 28, 2018 Issued
Array ( [id] => 15329651 [patent_doc_number] => 20200005155 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-01-02 [patent_title] => SCHEDULER AND SIMULATOR FOR A AREA-EFFICIENT, RECONFIGURABLE, ENERGY-EFFICIENT, SPEED-EFFICIENT NEURAL NETWORK SUBSTRATE [patent_app_type] => utility [patent_app_number] => 16/024016 [patent_app_country] => US [patent_app_date] => 2018-06-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7584 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 26 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16024016 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/024016
Scheduler and simulator for an area-efficient, reconfigurable, energy-efficient, speed-efficient neural network Jun 28, 2018 Issued
Array ( [id] => 15871703 [patent_doc_number] => 20200143255 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-05-07 [patent_title] => DNA-BASED NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/626824 [patent_app_country] => US [patent_app_date] => 2018-06-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 22408 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16626824 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/626824
DNA-based neural network Jun 26, 2018 Issued
Array ( [id] => 17223944 [patent_doc_number] => 11176447 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-11-16 [patent_title] => Semiconductor device modeling using input pre-processing and transformed targets for training a deep neural network [patent_app_type] => utility [patent_app_number] => 16/011787 [patent_app_country] => US [patent_app_date] => 2018-06-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 12 [patent_no_of_words] => 5947 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 5 [patent_words_short_claim] => 188 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16011787 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/011787
Semiconductor device modeling using input pre-processing and transformed targets for training a deep neural network Jun 18, 2018 Issued
Array ( [id] => 15655029 [patent_doc_number] => 20200090045 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-03-19 [patent_title] => ASYNCHRONOUS AGENTS WITH LEARNING COACHES AND STRUCTURALLY MODIFYING DEEP NEURAL NETWORKS WITHOUT PERFORMANCE DEGRADATION [patent_app_type] => utility [patent_app_number] => 16/618910 [patent_app_country] => US [patent_app_date] => 2018-05-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 27816 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -38 [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] => 16618910 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/618910
Asynchronous agents with learning coaches and structurally modifying deep neural networks without performance degradation May 30, 2018 Issued
Array ( [id] => 18073100 [patent_doc_number] => 11531934 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-12-20 [patent_title] => Machine learning (ML) modeling by DNA computing [patent_app_type] => utility [patent_app_number] => 15/994145 [patent_app_country] => US [patent_app_date] => 2018-05-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 10936 [patent_no_of_claims] => 25 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 124 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15994145 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/994145
Machine learning (ML) modeling by DNA computing May 30, 2018 Issued
Array ( [id] => 17047199 [patent_doc_number] => 11100384 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-08-24 [patent_title] => Intelligent device user interactions [patent_app_type] => utility [patent_app_number] => 15/980631 [patent_app_country] => US [patent_app_date] => 2018-05-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 37 [patent_figures_cnt] => 44 [patent_no_of_words] => 39348 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 213 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15980631 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/980631
Intelligent device user interactions May 14, 2018 Issued
Array ( [id] => 13557001 [patent_doc_number] => 20180330048 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-11-15 [patent_title] => Genome and self-evolution of AI [patent_app_type] => utility [patent_app_number] => 15/975889 [patent_app_country] => US [patent_app_date] => 2018-05-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6087 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 57 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15975889 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/975889
Genome and self-evolution of AI May 9, 2018 Abandoned
Array ( [id] => 18357089 [patent_doc_number] => 11645493 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-05-09 [patent_title] => Flow for quantized neural networks [patent_app_type] => utility [patent_app_number] => 15/972054 [patent_app_country] => US [patent_app_date] => 2018-05-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 16 [patent_figures_cnt] => 18 [patent_no_of_words] => 15754 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 180 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15972054 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/972054
Flow for quantized neural networks May 3, 2018 Issued
Array ( [id] => 15091377 [patent_doc_number] => 20190340500 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-07 [patent_title] => FOILING NEUROMORPHIC HARDWARE LIMITATIONS BY RECIPROCALLY SCALING CONNECTION WEIGHTS AND INPUT VALUES TO NEURONS OF NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 15/968108 [patent_app_country] => US [patent_app_date] => 2018-05-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10195 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 146 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15968108 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/968108
Foiling neuromorphic hardware limitations by reciprocally scaling connection weights and input values to neurons of neural networks Apr 30, 2018 Issued
Array ( [id] => 15028583 [patent_doc_number] => 20190325296 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-10-24 [patent_title] => NEURAL NETWORK PROCESSOR BASED ON APPLICATION SPECIFIC SYNTHESIS SPECIALIZATION PARAMETERS [patent_app_type] => utility [patent_app_number] => 15/959206 [patent_app_country] => US [patent_app_date] => 2018-04-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11527 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 327 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15959206 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/959206
Neural network processor based on application specific synthesis specialization parameters Apr 20, 2018 Issued
Array ( [id] => 13498125 [patent_doc_number] => 20180300605 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-10-18 [patent_title] => REDUCING POWER CONSUMPTION IN A NEURAL NETWORK PROCESSOR BY SKIPPING PROCESSING OPERATIONS [patent_app_type] => utility [patent_app_number] => 15/953195 [patent_app_country] => US [patent_app_date] => 2018-04-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9876 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 68 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15953195 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/953195
Reducing power consumption in a neural network processor by skipping processing operations Apr 12, 2018 Issued
Array ( [id] => 17942403 [patent_doc_number] => 11476869 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-10-18 [patent_title] => Dynamically partitioning workload in a deep neural network module to reduce power consumption [patent_app_type] => utility [patent_app_number] => 15/953330 [patent_app_country] => US [patent_app_date] => 2018-04-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 16 [patent_figures_cnt] => 16 [patent_no_of_words] => 10052 [patent_no_of_claims] => 18 [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] => 15953330 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/953330
Dynamically partitioning workload in a deep neural network module to reduce power consumption Apr 12, 2018 Issued
Array ( [id] => 13498123 [patent_doc_number] => 20180300604 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-10-18 [patent_title] => POWER-EFFICIENT DEEP NEURAL NETWORK MODULE CONFIGURED FOR LAYER AND OPERATION FENCING AND DEPENDENCY MANAGEMENT [patent_app_type] => utility [patent_app_number] => 15/950550 [patent_app_country] => US [patent_app_date] => 2018-04-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13396 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 142 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15950550 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/950550
Power-efficient deep neural network module configured for layer and operation fencing and dependency management Apr 10, 2018 Issued
Array ( [id] => 14966225 [patent_doc_number] => 20190310591 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-10-10 [patent_title] => ENTROPY-BASED TECHNIQUES FOR CREATION OF WELL-BALANCED COMPUTER BASED REASONING SYSTEMS [patent_app_type] => utility [patent_app_number] => 15/948801 [patent_app_country] => US [patent_app_date] => 2018-04-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17417 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 15948801 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/948801
Entropy-based techniques for creation of well-balanced computer based reasoning systems Apr 8, 2018 Issued
Array ( [id] => 18073042 [patent_doc_number] => 11531876 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-12-20 [patent_title] => Deep learning for characterizing unseen categories [patent_app_type] => utility [patent_app_number] => 15/939717 [patent_app_country] => US [patent_app_date] => 2018-03-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 2 [patent_figures_cnt] => 4 [patent_no_of_words] => 6467 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 243 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15939717 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/939717
Deep learning for characterizing unseen categories Mar 28, 2018 Issued
Array ( [id] => 13433501 [patent_doc_number] => 20180268293 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-09-20 [patent_title] => ANALYSIS-DATA ANALYZING DEVICE AND ANALYSIS-DATA ANALYZING METHOD [patent_app_type] => utility [patent_app_number] => 15/921107 [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] => 6613 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -5 [patent_words_short_claim] => 306 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15921107 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/921107
Analysis-data analyzing device and analysis-data analyzing method that calculates or updates a degree of usefulness of each dimension of an input in a machine-learning model Mar 13, 2018 Issued
Array ( [id] => 19045830 [patent_doc_number] => 11934945 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-19 [patent_title] => Accelerated deep learning [patent_app_type] => utility [patent_app_number] => 16/481016 [patent_app_country] => US [patent_app_date] => 2018-02-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 33 [patent_figures_cnt] => 47 [patent_no_of_words] => 49558 [patent_no_of_claims] => 47 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 68 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16481016 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/481016
Accelerated deep learning Feb 22, 2018 Issued
Array ( [id] => 18331116 [patent_doc_number] => 11636363 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-04-25 [patent_title] => Cognitive computer diagnostics and problem resolution [patent_app_type] => utility [patent_app_number] => 15/899991 [patent_app_country] => US [patent_app_date] => 2018-02-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 20 [patent_no_of_words] => 8654 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 131 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15899991 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/899991
Cognitive computer diagnostics and problem resolution Feb 19, 2018 Issued
Menu