Search

Joseph E. Valenza

Examiner (ID: 15679)

Most Active Art Unit
3101
Art Unit(s)
3103, 3105, 3615, 3101, 3107, 3651
Total Applications
2045
Issued Applications
1725
Pending Applications
64
Abandoned Applications
256

Applications

Application numberTitle of the applicationFiling DateStatus
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] => 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] => 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] => 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
Array ( [id] => 14704229 [patent_doc_number] => 10379861 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2019-08-13 [patent_title] => Decoding instructions that are modified by one or more other instructions [patent_app_type] => utility [patent_app_number] => 15/874724 [patent_app_country] => US [patent_app_date] => 2018-01-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 10419 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 172 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15874724 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/874724
Decoding instructions that are modified by one or more other instructions Jan 17, 2018 Issued
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