Search

Ababacar Seck

Examiner (ID: 1144, Phone: (571)270-7146 , Office: P/2122 )

Most Active Art Unit
2122
Art Unit(s)
2129, 2122, 2147
Total Applications
562
Issued Applications
356
Pending Applications
40
Abandoned Applications
170

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 16600651 [patent_doc_number] => 20210027182 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-28 [patent_title] => AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS [patent_app_type] => utility [patent_app_number] => 16/981246 [patent_app_country] => US [patent_app_date] => 2018-03-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16528 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 219 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16981246 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/981246
AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS Mar 20, 2018 Pending
Array ( [id] => 17223943 [patent_doc_number] => 11176446 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-11-16 [patent_title] => Compositional prototypes for scalable neurosynaptic networks [patent_app_type] => utility [patent_app_number] => 15/924054 [patent_app_country] => US [patent_app_date] => 2018-03-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 20 [patent_figures_cnt] => 20 [patent_no_of_words] => 9696 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 159 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15924054 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/924054
Compositional prototypes for scalable neurosynaptic networks Mar 15, 2018 Issued
Array ( [id] => 12714394 [patent_doc_number] => 20180129964 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-05-10 [patent_title] => METHOD, APPARATUS, AND COMPUTER STORAGE MEDIUM FOR PRE-SELECTING AND SORTING PUSH INFORMATION [patent_app_type] => utility [patent_app_number] => 15/863584 [patent_app_country] => US [patent_app_date] => 2018-01-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8398 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 127 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15863584 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/863584
METHOD, APPARATUS, AND COMPUTER STORAGE MEDIUM FOR PRE-SELECTING AND SORTING PUSH INFORMATION Jan 4, 2018 Abandoned
Array ( [id] => 17516052 [patent_doc_number] => 11295208 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-04-05 [patent_title] => Robust gradient weight compression schemes for deep learning applications [patent_app_type] => utility [patent_app_number] => 15/830170 [patent_app_country] => US [patent_app_date] => 2017-12-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 10355 [patent_no_of_claims] => 25 [patent_no_of_ind_claims] => 5 [patent_words_short_claim] => 311 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15830170 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/830170
Robust gradient weight compression schemes for deep learning applications Dec 3, 2017 Issued
Array ( [id] => 15043893 [patent_doc_number] => 20190332951 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-10-31 [patent_title] => INFORMATION PROCESSING APPARATUS, AND INFORMATION PROCESSING METHOD, AND PROGRAM [patent_app_type] => utility [patent_app_number] => 16/475540 [patent_app_country] => US [patent_app_date] => 2017-11-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18461 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 131 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16475540 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/475540
INFORMATION PROCESSING APPARATUS, AND INFORMATION PROCESSING METHOD, AND PROGRAM Nov 8, 2017 Abandoned
Array ( [id] => 17667520 [patent_doc_number] => 11361220 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-06-14 [patent_title] => Systems and methods for a computer understanding multi modal data streams [patent_app_type] => utility [patent_app_number] => 15/808313 [patent_app_country] => US [patent_app_date] => 2017-11-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 10243 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 335 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15808313 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/808313
Systems and methods for a computer understanding multi modal data streams Nov 8, 2017 Issued
Array ( [id] => 18720531 [patent_doc_number] => 11797877 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-10-24 [patent_title] => Automated self-healing of a computing process [patent_app_type] => utility [patent_app_number] => 15/728771 [patent_app_country] => US [patent_app_date] => 2017-10-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 9325 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 63 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15728771 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/728771
Automated self-healing of a computing process Oct 9, 2017 Issued
Array ( [id] => 12161621 [patent_doc_number] => 20180032887 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-02-01 [patent_title] => 'SIGNIFICANCE OF RELATIONSHIPS DISCOVERED IN A CORPUS' [patent_app_type] => utility [patent_app_number] => 15/727693 [patent_app_country] => US [patent_app_date] => 2017-10-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 7610 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 0 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15727693 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/727693
Significance of relationships discovered in a corpus Oct 8, 2017 Issued
Array ( [id] => 14162675 [patent_doc_number] => 20190108440 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-04-11 [patent_title] => Information Enrichment Using Global Structure Learning [patent_app_type] => utility [patent_app_number] => 15/728457 [patent_app_country] => US [patent_app_date] => 2017-10-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7636 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 127 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15728457 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/728457
Information Enrichment Using Global Structure Learning Oct 8, 2017 Abandoned
Array ( [id] => 12630282 [patent_doc_number] => 20180101924 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-04-12 [patent_title] => MACHINE LEARNING DEVICE AND MACHINE LEARNING METHOD FOR LEARNING CORRELATION BETWEEN SHIPMENT INSPECTION INFORMATION AND OPERATION ALARM INFORMATION FOR OBJECT [patent_app_type] => utility [patent_app_number] => 15/725437 [patent_app_country] => US [patent_app_date] => 2017-10-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4242 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 58 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15725437 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/725437
Machine learning device and machine learning method for learning correlation between shipment inspection information and operation alarm information for object Oct 4, 2017 Issued
Array ( [id] => 14048263 [patent_doc_number] => 20190080238 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-03-14 [patent_title] => Pruning And Retraining Method For A Convolution Neural Network [patent_app_type] => utility [patent_app_number] => 15/699438 [patent_app_country] => US [patent_app_date] => 2017-09-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3252 [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] => 15699438 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/699438
Pruning and retraining method for a convolution neural network Sep 7, 2017 Issued
Array ( [id] => 19459444 [patent_doc_number] => 12099938 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-09-24 [patent_title] => Contextual skills discovery [patent_app_type] => utility [patent_app_number] => 15/692701 [patent_app_country] => US [patent_app_date] => 2017-08-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 10 [patent_no_of_words] => 9749 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 216 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15692701 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/692701
Contextual skills discovery Aug 30, 2017 Issued
Array ( [id] => 13993945 [patent_doc_number] => 20190066130 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-02-28 [patent_title] => UNIFIED ARTIFICIAL INTELLIGENCE MODEL FOR MULTIPLE CUSTOMER VALUE VARIABLE PREDICTION [patent_app_type] => utility [patent_app_number] => 15/692422 [patent_app_country] => US [patent_app_date] => 2017-08-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9376 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 218 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15692422 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/692422
Unified artificial intelligence model for multiple customer value variable prediction Aug 30, 2017 Issued
Array ( [id] => 13907455 [patent_doc_number] => 20190042932 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-02-07 [patent_title] => Techniques and Architectures for Deep Learning to Support Security Threat Detection [patent_app_type] => utility [patent_app_number] => 15/665926 [patent_app_country] => US [patent_app_date] => 2017-08-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5852 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 157 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15665926 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/665926
Techniques and Architectures for Deep Learning to Support Security Threat Detection Jul 31, 2017 Abandoned
Array ( [id] => 16217718 [patent_doc_number] => 10733535 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-08-04 [patent_title] => Training a model using parameter server shards [patent_app_type] => utility [patent_app_number] => 15/665236 [patent_app_country] => US [patent_app_date] => 2017-07-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 5199 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 189 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15665236 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/665236
Training a model using parameter server shards Jul 30, 2017 Issued
Array ( [id] => 13876961 [patent_doc_number] => 20190034821 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-01-31 [patent_title] => Forecasting Run Rate Revenue with Limited and Volatile Historical Data Using Self-Learning Blended Time Series Techniques [patent_app_type] => utility [patent_app_number] => 15/659904 [patent_app_country] => US [patent_app_date] => 2017-07-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7870 [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] => 15659904 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/659904
Forecasting Run Rate Revenue with Limited and Volatile Historical Data Using Self-Learning Blended Time Series Techniques Jul 25, 2017 Abandoned
Array ( [id] => 17018235 [patent_doc_number] => 11087880 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-08-10 [patent_title] => Machine model generation systems and methods [patent_app_type] => utility [patent_app_number] => 15/655647 [patent_app_country] => US [patent_app_date] => 2017-07-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 10 [patent_no_of_words] => 11312 [patent_no_of_claims] => 15 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 293 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15655647 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/655647
Machine model generation systems and methods Jul 19, 2017 Issued
Array ( [id] => 16865059 [patent_doc_number] => 11023806 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-06-01 [patent_title] => Learning apparatus, identifying apparatus, learning and identifying system, and recording medium [patent_app_type] => utility [patent_app_number] => 15/641063 [patent_app_country] => US [patent_app_date] => 2017-07-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 19 [patent_figures_cnt] => 23 [patent_no_of_words] => 17972 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 8 [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] => 15641063 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/641063
Learning apparatus, identifying apparatus, learning and identifying system, and recording medium Jul 2, 2017 Issued
Array ( [id] => 17469517 [patent_doc_number] => 11275996 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-03-15 [patent_title] => Systems and devices for formatting neural network parameters [patent_app_type] => utility [patent_app_number] => 15/629394 [patent_app_country] => US [patent_app_date] => 2017-06-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 14503 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 158 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15629394 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/629394
Systems and devices for formatting neural network parameters Jun 20, 2017 Issued
Array ( [id] => 17151766 [patent_doc_number] => 11144845 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-10-12 [patent_title] => Using artificial intelligence to design a product [patent_app_type] => utility [patent_app_number] => 15/612080 [patent_app_country] => US [patent_app_date] => 2017-06-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 17 [patent_no_of_words] => 15776 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 262 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15612080 [rel_patent_id] =>[rel_patent_doc_number] =>)
15/612080
Using artificial intelligence to design a product Jun 1, 2017 Issued
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