Pegeman Karimi

Array ( [id] => 19459446 [patent_doc_number] => 12099940 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-09-24 [patent_title] => Behavior analysis using distributed representations of event data [patent_app_type] => utility [patent_app_number] => 17/468360 [patent_app_country] => US [patent_app_date] => 2021-09-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 22 [patent_no_of_words] => 17945 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 169 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17468360 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18213476 [patent_doc_number] => 20230059741 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-02-23 [patent_title] => DESIGN AND IMPLEMENTATION OF MACHINE LEARNING STATE MACHINES [patent_app_type] => utility [patent_app_number] => 17/408845 [patent_app_country] => US [patent_app_date] => 2021-08-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8449 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 140 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17408845 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18506745 [patent_doc_number] => 11704564 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-07-18 [patent_title] => Real time context dependent deep learning [patent_app_type] => utility [patent_app_number] => 17/404153 [patent_app_country] => US [patent_app_date] => 2021-08-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 37 [patent_figures_cnt] => 41 [patent_no_of_words] => 29130 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 121 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17404153 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17522365 [patent_doc_number] => 20220108214 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-04-07 [patent_title] => MANAGEMENT METHOD OF MACHINE LEARNING MODEL FOR NETWORK DATA ANALYTICS FUNCTION DEVICE [patent_app_type] => utility [patent_app_number] => 17/402151 [patent_app_country] => US [patent_app_date] => 2021-08-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16885 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 52 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17402151 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20189011 [patent_doc_number] => 12400126 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-08-26 [patent_title] => Predictive classification model for auto-population of text block templates into an application [patent_app_type] => utility [patent_app_number] => 17/399217 [patent_app_country] => US [patent_app_date] => 2021-08-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 6 [patent_no_of_words] => 2355 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 109 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17399217 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18167934 [patent_doc_number] => 20230034542 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-02-02 [patent_title] => DECISION-MAKING UNDER SELECTIVE LABELS [patent_app_type] => utility [patent_app_number] => 17/381141 [patent_app_country] => US [patent_app_date] => 2021-07-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6795 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 71 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17381141 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19732969 [patent_doc_number] => 12210968 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-01-28 [patent_title] => Technology for analyzing sensor data to detect configurations of vehicle operation [patent_app_type] => utility [patent_app_number] => 17/371721 [patent_app_country] => US [patent_app_date] => 2021-07-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 7 [patent_no_of_words] => 9548 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 174 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17371721 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17598228 [patent_doc_number] => 20220147802 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-12 [patent_title] => PORTABLE DEVICE AND METHOD USING ACCELERATED NETWORK SEARCH ARCHITECTURE [patent_app_type] => utility [patent_app_number] => 17/367529 [patent_app_country] => US [patent_app_date] => 2021-07-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4521 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 225 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17367529 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17261553 [patent_doc_number] => 20210374538 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-02 [patent_title] => REINFORCEMENT LEARNING USING TARGET NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 17/359427 [patent_app_country] => US [patent_app_date] => 2021-06-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10411 [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] => 17359427 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18079940 [patent_doc_number] => 20220405552 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-12-22 [patent_title] => RECURRENT NEURAL NETWORK CELL ACTIVATION TO PERFORM A PLURALITY OF OPERATIONS IN A SINGLE INVOCATION [patent_app_type] => utility [patent_app_number] => 17/350747 [patent_app_country] => US [patent_app_date] => 2021-06-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 28401 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 64 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17350747 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17302088 [patent_doc_number] => 20210397927 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-23 [patent_title] => NEURAL NETWORK SYSTEM AND METHOD OF OPERATING THE SAME [patent_app_type] => utility [patent_app_number] => 17/349957 [patent_app_country] => US [patent_app_date] => 2021-06-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8472 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -11 [patent_words_short_claim] => 107 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17349957 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18057436 [patent_doc_number] => 20220388522 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-12-08 [patent_title] => SYSTEMS AND METHODS FOR END-TO-END LEARNING OF OPTIMAL DRIVING POLICY [patent_app_type] => utility [patent_app_number] => 17/339063 [patent_app_country] => US [patent_app_date] => 2021-06-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8060 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 91 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17339063 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17589935 [patent_doc_number] => 11328209 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-05-10 [patent_title] => Dual cycle tensor dropout in a neural network [patent_app_type] => utility [patent_app_number] => 17/337080 [patent_app_country] => US [patent_app_date] => 2021-06-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 26 [patent_figures_cnt] => 27 [patent_no_of_words] => 24852 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 360 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17337080 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17261550 [patent_doc_number] => 20210374535 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-02 [patent_title] => METHOD, APPARATUS, AND NON-TEMPORARY COMPUTER-READABLE MEDIUM [patent_app_type] => utility [patent_app_number] => 17/333271 [patent_app_country] => US [patent_app_date] => 2021-05-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15764 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [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] => 17333271 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18007530 [patent_doc_number] => 20220366296 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-11-17 [patent_title] => CONFIGURING AUTOSAVE TRIGGERS BASED ON VALUE METRICS [patent_app_type] => utility [patent_app_number] => 17/319599 [patent_app_country] => US [patent_app_date] => 2021-05-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10546 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 194 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17319599 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20746043 [patent_doc_number] => 12645957 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-06-02 [patent_title] => Course content data analysis and prediction [patent_app_type] => utility [patent_app_number] => 17/314529 [patent_app_country] => US [patent_app_date] => 2021-05-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 3636 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 326 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17314529 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17359121 [patent_doc_number] => 20220019917 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-20 [patent_title] => EVALUATION DEVICE, EVALUATION METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM [patent_app_type] => utility [patent_app_number] => 17/197287 [patent_app_country] => US [patent_app_date] => 2021-03-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9390 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -6 [patent_words_short_claim] => 101 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17197287 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20228725 [patent_doc_number] => 12417378 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-16 [patent_title] => Systems and methods for use with recurrent neural networks [patent_app_type] => utility [patent_app_number] => 17/184371 [patent_app_country] => US [patent_app_date] => 2021-02-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 14 [patent_no_of_words] => 8661 [patent_no_of_claims] => 24 [patent_no_of_ind_claims] => 4 [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] => 17184371 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17558331 [patent_doc_number] => 11315042 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-04-26 [patent_title] => Optimizing machine learning models with a device farm [patent_app_type] => utility [patent_app_number] => 17/183072 [patent_app_country] => US [patent_app_date] => 2021-02-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 15 [patent_no_of_words] => 6441 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 309 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17183072 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17558331 [patent_doc_number] => 11315042 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-04-26 [patent_title] => Optimizing machine learning models with a device farm [patent_app_type] => utility [patent_app_number] => 17/183072 [patent_app_country] => US [patent_app_date] => 2021-02-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 15 [patent_no_of_words] => 6441 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 309 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17183072 [rel_patent_id] =>[rel_patent_doc_number] =>)