Brandon S. Cole

Array ( [id] => 20286713 [patent_doc_number] => 20250311956 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-10-09 [patent_title] => ARTIFICIAL INTELLIGENCE ENABLED DISEASE PROFILING [patent_app_type] => utility [patent_app_number] => 19/169958 [patent_app_country] => US [patent_app_date] => 2025-04-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 36270 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 137 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19169958 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19986041 [patent_doc_number] => 20250124263 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-04-17 [patent_title] => GENERATING GUIDANCE DATA FOR AGENTS USING GENERATIVE MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 18/773952 [patent_app_country] => US [patent_app_date] => 2024-07-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13742 [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] => 18773952 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19986041 [patent_doc_number] => 20250124263 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-04-17 [patent_title] => GENERATING GUIDANCE DATA FOR AGENTS USING GENERATIVE MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 18/773952 [patent_app_country] => US [patent_app_date] => 2024-07-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13742 [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] => 18773952 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19531512 [patent_doc_number] => 20240355414 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-10-24 [patent_title] => METHOD AND DEVICE FOR UROTHELIAL CARCINOMA DETECTION [patent_app_type] => utility [patent_app_number] => 18/760545 [patent_app_country] => US [patent_app_date] => 2024-07-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14199 [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] => 18760545 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19677857 [patent_doc_number] => 12189716 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-01-07 [patent_title] => Predicting likelihood of request classifications using deep learning [patent_app_type] => utility [patent_app_number] => 18/672589 [patent_app_country] => US [patent_app_date] => 2024-05-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 24 [patent_figures_cnt] => 24 [patent_no_of_words] => 32311 [patent_no_of_claims] => 30 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 391 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18672589 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19653559 [patent_doc_number] => 12175354 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-12-24 [patent_title] => Apparatus and method for training a tunable data structure to predict internal ribosome entry site (IRES) activity [patent_app_type] => utility [patent_app_number] => 18/601269 [patent_app_country] => US [patent_app_date] => 2024-03-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 10 [patent_no_of_words] => 27770 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 299 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18601269 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20274042 [patent_doc_number] => 12443825 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-10-14 [patent_title] => Neural processing unit and method of operation thereof [patent_app_type] => utility [patent_app_number] => 18/415684 [patent_app_country] => US [patent_app_date] => 2024-01-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 13 [patent_figures_cnt] => 21 [patent_no_of_words] => 9086 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 296 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18415684 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20274042 [patent_doc_number] => 12443825 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-10-14 [patent_title] => Neural processing unit and method of operation thereof [patent_app_type] => utility [patent_app_number] => 18/415684 [patent_app_country] => US [patent_app_date] => 2024-01-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 13 [patent_figures_cnt] => 21 [patent_no_of_words] => 9086 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 296 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18415684 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19427284 [patent_doc_number] => 12086707 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-09-10 [patent_title] => Neural processing unit being operated according to dynamically calibrated phase of clock signal [patent_app_type] => utility [patent_app_number] => 18/530909 [patent_app_country] => US [patent_app_date] => 2023-12-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 17 [patent_no_of_words] => 19785 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [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] => 18530909 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19222615 [patent_doc_number] => 20240187319 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-06-06 [patent_title] => METHODS AND SYSTEMS FOR IMPLEMENTING DYNAMIC-ACTION SYSTEMS IN REAL-TIME DATA STREAMS [patent_app_type] => utility [patent_app_number] => 18/525523 [patent_app_country] => US [patent_app_date] => 2023-11-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18769 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 145 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18525523 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20243247 [patent_doc_number] => 12423568 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-23 [patent_title] => Counter based resistive processing unit for programmable and reconfigurable artificial-neural-networks [patent_app_type] => utility [patent_app_number] => 18/510755 [patent_app_country] => US [patent_app_date] => 2023-11-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 16 [patent_no_of_words] => 6150 [patent_no_of_claims] => 8 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 177 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18510755 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19221314 [patent_doc_number] => 20240186018 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-06-06 [patent_title] => NEURAL POINT PROCESS-BASED EVENT PREDICTION FOR MEDICAL DECISION MAKING [patent_app_type] => utility [patent_app_number] => 18/493331 [patent_app_country] => US [patent_app_date] => 2023-10-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7170 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 67 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18493331 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18907729 [patent_doc_number] => 20240023214 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-01-18 [patent_title] => CONTROL DEVICE FOR CONTROLLING MULTIPLE OPERATING CHARACTERISTICS OF AN ELECTRICAL LOAD [patent_app_type] => utility [patent_app_number] => 18/370107 [patent_app_country] => US [patent_app_date] => 2023-09-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9573 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 171 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18370107 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18820032 [patent_doc_number] => 20230394372 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-12-07 [patent_title] => SYSTEMS AND METHODS FOR TRANSFER LEARNING OF NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 18/454028 [patent_app_country] => US [patent_app_date] => 2023-08-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9323 [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] => 18454028 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18987334 [patent_doc_number] => 20240059303 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-02-22 [patent_title] => HYBRID RULE ENGINE FOR VEHICLE AUTOMATION [patent_app_type] => utility [patent_app_number] => 18/449798 [patent_app_country] => US [patent_app_date] => 2023-08-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16706 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 80 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18449798 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18848690 [patent_doc_number] => 20230411094 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-12-21 [patent_title] => MULTI-VOLTAGE CONTACTORS, CONTROLS, AND RELATED METHODS [patent_app_type] => utility [patent_app_number] => 18/226091 [patent_app_country] => US [patent_app_date] => 2023-07-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6656 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [patent_words_short_claim] => 188 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18226091 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18848690 [patent_doc_number] => 20230411094 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-12-21 [patent_title] => MULTI-VOLTAGE CONTACTORS, CONTROLS, AND RELATED METHODS [patent_app_type] => utility [patent_app_number] => 18/226091 [patent_app_country] => US [patent_app_date] => 2023-07-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6656 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [patent_words_short_claim] => 188 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18226091 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19795374 [patent_doc_number] => 12236325 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-02-25 [patent_title] => Contextual bandit for multiple machine learning models for content delivery [patent_app_type] => utility [patent_app_number] => 18/348052 [patent_app_country] => US [patent_app_date] => 2023-07-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 13339 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 338 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18348052 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18695255 [patent_doc_number] => 20230325676 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-10-12 [patent_title] => ACTIVE LEARNING VIA A SAMPLE CONSISTENCY ASSESSMENT [patent_app_type] => utility [patent_app_number] => 18/333998 [patent_app_country] => US [patent_app_date] => 2023-06-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7996 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 174 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18333998 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18695255 [patent_doc_number] => 20230325676 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-10-12 [patent_title] => ACTIVE LEARNING VIA A SAMPLE CONSISTENCY ASSESSMENT [patent_app_type] => utility [patent_app_number] => 18/333998 [patent_app_country] => US [patent_app_date] => 2023-06-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7996 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 174 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18333998 [rel_patent_id] =>[rel_patent_doc_number] =>)