Search

Pegeman Karimi

Examiner (ID: 5467, Phone: (571)270-1712 , Office: P/2691 )

Most Active Art Unit
2691
Art Unit(s)
2621, 2618, 2691, 2623, 2629
Total Applications
1187
Issued Applications
983
Pending Applications
51
Abandoned Applications
172

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 17598236 [patent_doc_number] => 20220147810 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-12 [patent_title] => DISCOVERY OF HARDWARE CHARACTERISTICS OF DEEP LEARNING ACCELERATORS FOR OPTIMIZATION VIA COMPILER [patent_app_type] => utility [patent_app_number] => 17/092033 [patent_app_country] => US [patent_app_date] => 2020-11-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16577 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 116 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17092033 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/092033
Discovery of hardware characteristics of deep learning accelerators for optimization via compiler Nov 5, 2020 Issued
Array ( [id] => 17598235 [patent_doc_number] => 20220147809 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-12 [patent_title] => DEEP LEARNING ACCELERATORS WITH CONFIGURABLE HARDWARE OPTIONS OPTIMIZABLE VIA COMPILER [patent_app_type] => utility [patent_app_number] => 17/092023 [patent_app_country] => US [patent_app_date] => 2020-11-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13873 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 160 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17092023 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/092023
DEEP LEARNING ACCELERATORS WITH CONFIGURABLE HARDWARE OPTIONS OPTIMIZABLE VIA COMPILER Nov 5, 2020 Pending
Array ( [id] => 16872665 [patent_doc_number] => 20210166132 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-03 [patent_title] => SYSTEMS AND METHODS FOR MACHINE LEARNING USING A NETWORK OF DECISION-MAKING NODES [patent_app_type] => utility [patent_app_number] => 17/069688 [patent_app_country] => US [patent_app_date] => 2020-10-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8694 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [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] => 17069688 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/069688
Systems and methods for machine learning using a network of decision-making nodes Oct 12, 2020 Issued
Array ( [id] => 17535865 [patent_doc_number] => 20220114474 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-04-14 [patent_title] => INTERACTIVE AGENT [patent_app_type] => utility [patent_app_number] => 17/067284 [patent_app_country] => US [patent_app_date] => 2020-10-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9617 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 17067284 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/067284
Interactive agent and control using reinforcement learning Oct 8, 2020 Issued
Array ( [id] => 19873039 [patent_doc_number] => 12265903 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-04-01 [patent_title] => Distributing tensor computations across computing devices [patent_app_type] => utility [patent_app_number] => 17/063034 [patent_app_country] => US [patent_app_date] => 2020-10-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 8924 [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] => 17063034 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/063034
Distributing tensor computations across computing devices Oct 4, 2020 Issued
Array ( [id] => 18023241 [patent_doc_number] => 20220374740 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-11-24 [patent_title] => ARTIFICIAL INTELLIGENCE INFERENCE APPARATUS AND METHOD [patent_app_type] => utility [patent_app_number] => 17/767364 [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] => 4257 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 66 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17767364 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/767364
ARTIFICIAL INTELLIGENCE INFERENCE APPARATUS AND METHOD Sep 27, 2020 Pending
Array ( [id] => 16722760 [patent_doc_number] => 20210089907 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-25 [patent_title] => System and Method for Assessing an Operating Condition of an Asset [patent_app_type] => utility [patent_app_number] => 17/029333 [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] => 6144 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 109 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17029333 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/029333
System and method for assessing an operating condition of an asset Sep 22, 2020 Issued
Array ( [id] => 18875338 [patent_doc_number] => 11863164 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-01-02 [patent_title] => Quantum circuit learning device, quantum circuit learning method, and recording medium [patent_app_type] => utility [patent_app_number] => 17/002419 [patent_app_country] => US [patent_app_date] => 2020-08-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 9 [patent_no_of_words] => 5783 [patent_no_of_claims] => 4 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 370 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17002419 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/002419
Quantum circuit learning device, quantum circuit learning method, and recording medium Aug 24, 2020 Issued
Array ( [id] => 20317518 [patent_doc_number] => 12456070 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-10-28 [patent_title] => System-level control using tree-based regression with outlier removal [patent_app_type] => utility [patent_app_number] => 16/998748 [patent_app_country] => US [patent_app_date] => 2020-08-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 10 [patent_no_of_words] => 6756 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 333 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16998748 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/998748
System-level control using tree-based regression with outlier removal Aug 19, 2020 Issued
Array ( [id] => 17388395 [patent_doc_number] => 20220036247 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-03 [patent_title] => System and Method for Ensemble Expert Diversification [patent_app_type] => utility [patent_app_number] => 16/944324 [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] => 7528 [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] => 16944324 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/944324
System and method for ensemble expert diversification Jul 30, 2020 Issued
Array ( [id] => 19718889 [patent_doc_number] => 12204426 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-01-21 [patent_title] => Systems and methods for monitoring performance of a machine learning model externally to the machine learning model [patent_app_type] => utility [patent_app_number] => 16/941595 [patent_app_country] => US [patent_app_date] => 2020-07-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 11906 [patent_no_of_claims] => 28 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 225 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16941595 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/941595
Systems and methods for monitoring performance of a machine learning model externally to the machine learning model Jul 28, 2020 Issued
Array ( [id] => 17388374 [patent_doc_number] => 20220036226 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-03 [patent_title] => TRANSLATION OF A QUANTUM DESIGN ACROSS MULTIPLE APPLICATIONS [patent_app_type] => utility [patent_app_number] => 16/942239 [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] => 18340 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 54 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16942239 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/942239
Translation of a quantum design across multiple applications Jul 28, 2020 Issued
Array ( [id] => 17372704 [patent_doc_number] => 20220027756 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-27 [patent_title] => CATEGORICAL INPUT MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 16/938480 [patent_app_country] => US [patent_app_date] => 2020-07-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 22628 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 322 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16938480 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/938480
Categorical input machine learning models Jul 23, 2020 Issued
Array ( [id] => 19228803 [patent_doc_number] => 12008441 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-06-11 [patent_title] => Categorical input machine learning models [patent_app_type] => utility [patent_app_number] => 16/938380 [patent_app_country] => US [patent_app_date] => 2020-07-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 13 [patent_figures_cnt] => 13 [patent_no_of_words] => 22623 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 272 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16938380 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/938380
Categorical input machine learning models Jul 23, 2020 Issued
Array ( [id] => 16600648 [patent_doc_number] => 20210027179 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-28 [patent_title] => Method For Managing Data [patent_app_type] => utility [patent_app_number] => 16/936310 [patent_app_country] => US [patent_app_date] => 2020-07-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11667 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -11 [patent_words_short_claim] => 77 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16936310 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/936310
Method For Managing Data Jul 21, 2020 Abandoned
Array ( [id] => 18430101 [patent_doc_number] => 11675319 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-06-13 [patent_title] => Empirical modeling with globally enforced general constraints [patent_app_type] => utility [patent_app_number] => 16/934867 [patent_app_country] => US [patent_app_date] => 2020-07-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 8 [patent_no_of_words] => 11073 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 196 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16934867 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/934867
Empirical modeling with globally enforced general constraints Jul 20, 2020 Issued
Array ( [id] => 16424214 [patent_doc_number] => 20200349412 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-11-05 [patent_title] => PROSPECTIVE MEDIA CONTENT GENERATION USING NEURAL NETWORK MODELING [patent_app_type] => utility [patent_app_number] => 16/930355 [patent_app_country] => US [patent_app_date] => 2020-07-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5319 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 191 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16930355 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/930355
Prospective media content generation using neural network modeling Jul 15, 2020 Issued
Array ( [id] => 16559498 [patent_doc_number] => 20210004647 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-07 [patent_title] => METHOD AND SYSTEM FOR TRAINING REINFORCEMENT LEARNING AGENT USING ADVERSARIAL SAMPLING [patent_app_type] => utility [patent_app_number] => 16/920598 [patent_app_country] => US [patent_app_date] => 2020-07-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5814 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 199 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16920598 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/920598
Method and system for training reinforcement learning agent using adversarial sampling Jul 2, 2020 Issued
Array ( [id] => 20243275 [patent_doc_number] => 12423596 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-23 [patent_title] => Throughput based sizing for hive deployment [patent_app_type] => utility [patent_app_number] => 16/918540 [patent_app_country] => US [patent_app_date] => 2020-07-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 6760 [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] => 16918540 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/918540
Throughput based sizing for hive deployment Jun 30, 2020 Issued
Array ( [id] => 16559568 [patent_doc_number] => 20210004717 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-07 [patent_title] => LEARNING METHOD AND RECORDING MEDIUM [patent_app_type] => utility [patent_app_number] => 16/918390 [patent_app_country] => US [patent_app_date] => 2020-07-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5106 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -5 [patent_words_short_claim] => 99 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16918390 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/918390
Learning method for learning action of agent using model-based reinforcement learning Jun 30, 2020 Issued
Menu