Search

Michael P. Barker

Examiner (ID: 19236, Phone: (571)272-0303 , Office: P/1626 )

Most Active Art Unit
1626
Art Unit(s)
1626, 1655, OPQA
Total Applications
1330
Issued Applications
1017
Pending Applications
61
Abandoned Applications
256

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 17794653 [patent_doc_number] => 20220253745 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-08-11 [patent_title] => METHODS AND SYSTEMS FOR MULTIPLE TIME-SERIES DATA FORECASTING [patent_app_type] => utility [patent_app_number] => 17/408173 [patent_app_country] => US [patent_app_date] => 2021-08-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13914 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 913 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17408173 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/408173
METHODS AND SYSTEMS FOR MULTIPLE TIME-SERIES DATA FORECASTING Aug 19, 2021 Abandoned
Array ( [id] => 18194093 [patent_doc_number] => 20230047612 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-02-16 [patent_title] => COMPUTER-BASED SYSTEM USING NEURON-LIKE REPRESENTATION GRAPHS TO CREATE KNOWLEDGE MODELS FOR COMPUTING SEMANTICS AND ABSTRACTS IN AN INTERACTIVE AND AUTOMATIC MODE [patent_app_type] => utility [patent_app_number] => 17/398920 [patent_app_country] => US [patent_app_date] => 2021-08-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4752 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 62 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17398920 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/398920
COMPUTER-BASED SYSTEM USING NEURON-LIKE REPRESENTATION GRAPHS TO CREATE KNOWLEDGE MODELS FOR COMPUTING SEMANTICS AND ABSTRACTS IN AN INTERACTIVE AND AUTOMATIC MODE Aug 9, 2021 Abandoned
Array ( [id] => 18599356 [patent_doc_number] => 20230274156 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-08-31 [patent_title] => Low-Power Edge Computing with Optical Neural Networks via WDM Weight Broadcasting [patent_app_type] => utility [patent_app_number] => 18/247129 [patent_app_country] => US [patent_app_date] => 2021-07-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12694 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [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] => 18247129 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/247129
Low-Power Edge Computing with Optical Neural Networks via WDM Weight Broadcasting Jul 28, 2021 Pending
Array ( [id] => 18139763 [patent_doc_number] => 20230013599 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-01-19 [patent_title] => ADAPTIVE MAC ARRAY SCHEDULING IN A CONVOLUTIONAL NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 17/370854 [patent_app_country] => US [patent_app_date] => 2021-07-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4770 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 86 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17370854 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/370854
ADAPTIVE MAC ARRAY SCHEDULING IN A CONVOLUTIONAL NEURAL NETWORK Jul 7, 2021 Pending
Array ( [id] => 17231193 [patent_doc_number] => 20210357750 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-18 [patent_title] => OBJECT CLASSIFICATION WITH CONTENT AND LOCATION SENSITIVE CLASSIFIERS [patent_app_type] => utility [patent_app_number] => 17/234118 [patent_app_country] => US [patent_app_date] => 2021-04-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12425 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 357 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17234118 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/234118
OBJECT CLASSIFICATION WITH CONTENT AND LOCATION SENSITIVE CLASSIFIERS Apr 18, 2021 Pending
Array ( [id] => 18393787 [patent_doc_number] => 20230162007 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-05-25 [patent_title] => METHOD AND APPARATUS FOR CONVOLUTION OPERATION OF CONVOLUTIONAL NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 17/753140 [patent_app_country] => US [patent_app_date] => 2021-02-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5499 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 108 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17753140 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/753140
METHOD AND APPARATUS FOR CONVOLUTION OPERATION OF CONVOLUTIONAL NEURAL NETWORK Feb 21, 2021 Pending
Array ( [id] => 17484879 [patent_doc_number] => 20220092383 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-24 [patent_title] => SYSTEM AND METHOD FOR POST-TRAINING QUANTIZATION OF DEEP NEURAL NETWORKS WITH PER-CHANNEL QUANTIZATION MODE SELECTION [patent_app_type] => utility [patent_app_number] => 17/173107 [patent_app_country] => US [patent_app_date] => 2021-02-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5824 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 48 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17173107 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/173107
SYSTEM AND METHOD FOR POST-TRAINING QUANTIZATION OF DEEP NEURAL NETWORKS WITH PER-CHANNEL QUANTIZATION MODE SELECTION Feb 9, 2021 Pending
Array ( [id] => 17659713 [patent_doc_number] => 20220180178 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-09 [patent_title] => NEURAL NETWORK SCHEDULER [patent_app_type] => utility [patent_app_number] => 17/115631 [patent_app_country] => US [patent_app_date] => 2020-12-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 75745 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 37 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17115631 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/115631
NEURAL NETWORK SCHEDULER Dec 7, 2020 Pending
Array ( [id] => 17614292 [patent_doc_number] => 20220156572 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-19 [patent_title] => DATA PARTITIONING WITH NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/950017 [patent_app_country] => US [patent_app_date] => 2020-11-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7641 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 167 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16950017 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/950017
DATA PARTITIONING WITH NEURAL NETWORK Nov 16, 2020 Pending
Array ( [id] => 16826880 [patent_doc_number] => 20210142173 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-13 [patent_title] => NETWORK-BASED DEEP LEARNING TECHNOLOGY FOR TARGET IDENTIFICATION AND DRUG REPURPOSING [patent_app_type] => utility [patent_app_number] => 17/096712 [patent_app_country] => US [patent_app_date] => 2020-11-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8870 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 17096712 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/096712
NETWORK-BASED DEEP LEARNING TECHNOLOGY FOR TARGET IDENTIFICATION AND DRUG REPURPOSING Nov 11, 2020 Pending
Array ( [id] => 17084563 [patent_doc_number] => 20210279570 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-09 [patent_title] => METHOD FOR PROVING OR IDENTIFYING COUNTER-EXAMPLES IN NEURAL NETWORK SYSTEMS THAT PROCESS POINT CLOUD DATA [patent_app_type] => utility [patent_app_number] => 17/078079 [patent_app_country] => US [patent_app_date] => 2020-10-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7125 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 184 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17078079 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/078079
METHOD FOR PROVING OR IDENTIFYING COUNTER-EXAMPLES IN NEURAL NETWORK SYSTEMS THAT PROCESS POINT CLOUD DATA Oct 21, 2020 Abandoned
Array ( [id] => 17114554 [patent_doc_number] => 20210295151 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-23 [patent_title] => METHOD OF MACHINE-LEARNING BY COLLECTING FEATURES OF DATA AND APPARATUS THEREOF [patent_app_type] => utility [patent_app_number] => 17/077114 [patent_app_country] => US [patent_app_date] => 2020-10-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15272 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 73 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17077114 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/077114
METHOD OF MACHINE-LEARNING BY COLLECTING FEATURES OF DATA AND APPARATUS THEREOF Oct 21, 2020 Pending
Array ( [id] => 16764724 [patent_doc_number] => 20210110306 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-15 [patent_title] => META-TRANSFER LEARNING VIA CONTEXTUAL INVARIANTS FOR CROSS-DOMAIN RECOMMENDATION [patent_app_type] => utility [patent_app_number] => 17/070795 [patent_app_country] => US [patent_app_date] => 2020-10-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17252 [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] => 17070795 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/070795
META-TRANSFER LEARNING VIA CONTEXTUAL INVARIANTS FOR CROSS-DOMAIN RECOMMENDATION Oct 13, 2020 Abandoned
Array ( [id] => 16826876 [patent_doc_number] => 20210142169 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-13 [patent_title] => PREDICTION INTERPRETATION [patent_app_type] => utility [patent_app_number] => 17/035229 [patent_app_country] => US [patent_app_date] => 2020-09-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13347 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 368 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17035229 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/035229
PREDICTION INTERPRETATION Sep 27, 2020 Abandoned
Array ( [id] => 17963468 [patent_doc_number] => 20220344049 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-10-27 [patent_title] => DECENTRALIZED ARTIFICIAL INTELLIGENCE (AI)/MACHINE LEARNING TRAINING SYSTEM [patent_app_type] => utility [patent_app_number] => 17/762659 [patent_app_country] => US [patent_app_date] => 2020-09-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 25209 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -23 [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] => 17762659 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/762659
DECENTRALIZED ARTIFICIAL INTELLIGENCE (AI)/MACHINE LEARNING TRAINING SYSTEM Sep 22, 2020 Pending
Array ( [id] => 17916215 [patent_doc_number] => 20220318611 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-10-06 [patent_title] => DATA PROCESSING [patent_app_type] => utility [patent_app_number] => 17/753286 [patent_app_country] => US [patent_app_date] => 2020-08-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8589 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [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] => 17753286 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/753286
DATA PROCESSING Aug 23, 2020 Pending
Array ( [id] => 17402010 [patent_doc_number] => 20220044100 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-10 [patent_title] => PARALLEL ARCHITECTURES FOR NANOPHOTONIC COMPUTING [patent_app_type] => utility [patent_app_number] => 16/945285 [patent_app_country] => US [patent_app_date] => 2020-07-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6326 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [patent_words_short_claim] => 37 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16945285 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/945285
PARALLEL ARCHITECTURES FOR NANOPHOTONIC COMPUTING Jul 30, 2020 Abandoned
Array ( [id] => 16691152 [patent_doc_number] => 20210073630 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-11 [patent_title] => TRAINING A CLASS-CONDITIONAL GENERATIVE ADVERSARIAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/941699 [patent_app_country] => US [patent_app_date] => 2020-07-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8128 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -6 [patent_words_short_claim] => 254 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16941699 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/941699
TRAINING A CLASS-CONDITIONAL GENERATIVE ADVERSARIAL NETWORK Jul 28, 2020 Abandoned
Array ( [id] => 18111944 [patent_doc_number] => 20230004824 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-01-05 [patent_title] => Method, Apparatus, and Device for Updating Hard Disk Prediction Model, and Medium [patent_app_type] => utility [patent_app_number] => 17/781326 [patent_app_country] => US [patent_app_date] => 2020-07-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4979 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [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] => 17781326 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/781326
Method, Apparatus, and Device for Updating Hard Disk Prediction Model, and Medium Jul 22, 2020 Abandoned
Array ( [id] => 16577795 [patent_doc_number] => 20210012196 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-14 [patent_title] => PEER-TO-PEER TRAINING OF A MACHINE LEARNING MODEL [patent_app_type] => utility [patent_app_number] => 16/926534 [patent_app_country] => US [patent_app_date] => 2020-07-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8968 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 149 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16926534 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/926534
PEER-TO-PEER TRAINING OF A MACHINE LEARNING MODEL Jul 9, 2020 Pending
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