Jean Bruner Jeanglaude

Array ( [id] => 20423607 [patent_doc_number] => 20250385692 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-12-18 [patent_title] => APPARATUSES FOR ENCODING AND DECODING A SEQUENCE OF INTEGER VALUES, METHODS FOR ENCODING AND DECODING A SEQUENCE OF INTEGER VALUES AND COMPUTER PROGRAM FOR IMPLEMENTING THESE METHODS [patent_app_type] => utility [patent_app_number] => 19/323934 [patent_app_country] => US [patent_app_date] => 2025-09-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8341 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 195 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19323934 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20423603 [patent_doc_number] => 20250385688 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-12-18 [patent_title] => APPARATUSES FOR ENCODING AND DECODING A SEQUENCE OF INTEGER VALUES, METHODS FOR ENCODING AND DECODING A SEQUENCE OF INTEGER VALUES AND COMPUTER PROGRAM FOR IMPLEMENTING THESE METHODS [patent_app_type] => utility [patent_app_number] => 19/323715 [patent_app_country] => US [patent_app_date] => 2025-09-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8292 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [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] => 19323715 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20382520 [patent_doc_number] => 20250365013 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-11-27 [patent_title] => ARITHMETIC ENCODER FOR ARITHMETICALLY ENCODING AND ARITHMETIC DECODER FOR ARITHMETICALLY DECODING A SEQUENCE OF INFORMATION VALUES, METHODS FOR ARITHMETICALLY ENCODING AND DECODING A SEQUENCE OF INFORMATION VALUES AND COMPUTER PROGRAM FOR IMPLEMENTING THESE METHODS [patent_app_type] => utility [patent_app_number] => 19/292142 [patent_app_country] => US [patent_app_date] => 2025-08-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 21542 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -1 [patent_words_short_claim] => 164 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19292142 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20382514 [patent_doc_number] => 20250365007 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-11-27 [patent_title] => Hierarchical Smart Caching for Machine Learning Codeword Responses [patent_app_type] => utility [patent_app_number] => 19/242953 [patent_app_country] => US [patent_app_date] => 2025-06-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 45735 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 153 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19242953 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20382514 [patent_doc_number] => 20250365007 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-11-27 [patent_title] => Hierarchical Smart Caching for Machine Learning Codeword Responses [patent_app_type] => utility [patent_app_number] => 19/242953 [patent_app_country] => US [patent_app_date] => 2025-06-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 45735 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 153 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19242953 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20228516 [patent_doc_number] => 12417168 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-16 [patent_title] => System and method for edge based multi-modal homomorphic compression [patent_app_type] => utility [patent_app_number] => 19/048882 [patent_app_country] => US [patent_app_date] => 2025-02-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 20 [patent_figures_cnt] => 20 [patent_no_of_words] => 14439 [patent_no_of_claims] => 8 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 96 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19048882 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20273782 [patent_doc_number] => 12443564 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-10-14 [patent_title] => System and method for adaptive quality driven compression of genomic data using neural networks [patent_app_type] => utility [patent_app_number] => 19/048846 [patent_app_country] => US [patent_app_date] => 2025-02-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 27 [patent_figures_cnt] => 27 [patent_no_of_words] => 17973 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 118 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19048846 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20228484 [patent_doc_number] => 12417136 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-16 [patent_title] => System and method for adaptive protocol caching in event-driven data communication networks [patent_app_type] => utility [patent_app_number] => 19/044355 [patent_app_country] => US [patent_app_date] => 2025-02-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 76 [patent_figures_cnt] => 76 [patent_no_of_words] => 42028 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 74 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19044355 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20228484 [patent_doc_number] => 12417136 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-16 [patent_title] => System and method for adaptive protocol caching in event-driven data communication networks [patent_app_type] => utility [patent_app_number] => 19/044355 [patent_app_country] => US [patent_app_date] => 2025-02-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 76 [patent_figures_cnt] => 76 [patent_no_of_words] => 42028 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 74 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19044355 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20375822 [patent_doc_number] => 12483268 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-11-25 [patent_title] => Federated latent transformer deep learning core [patent_app_type] => utility [patent_app_number] => 19/026345 [patent_app_country] => US [patent_app_date] => 2025-01-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 27 [patent_figures_cnt] => 27 [patent_no_of_words] => 31402 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 152 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19026345 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20029580 [patent_doc_number] => 20250167802 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-05-22 [patent_title] => FEDERATED LATENT TRANSFORMER DEEP LEARNING CORE [patent_app_type] => utility [patent_app_number] => 19/026329 [patent_app_country] => US [patent_app_date] => 2025-01-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 31402 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -11 [patent_words_short_claim] => 88 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19026329 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20244710 [patent_doc_number] => 12425044 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-23 [patent_title] => Federated large codeword model deep learning architecture [patent_app_type] => utility [patent_app_number] => 19/017639 [patent_app_country] => US [patent_app_date] => 2025-01-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 27 [patent_figures_cnt] => 27 [patent_no_of_words] => 31614 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 102 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19017639 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20052568 [patent_doc_number] => 20250190790 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-06-12 [patent_title] => SYSTEM AND METHODS FOR UPSAMPLING OF DECOMPRESSED GENOMIC DATA AFTER LOSSY COMPRESSION USING A NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 19/007525 [patent_app_country] => US [patent_app_date] => 2025-01-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20377 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -21 [patent_words_short_claim] => 110 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19007525 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20052568 [patent_doc_number] => 20250190790 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-06-12 [patent_title] => SYSTEM AND METHODS FOR UPSAMPLING OF DECOMPRESSED GENOMIC DATA AFTER LOSSY COMPRESSION USING A NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 19/007525 [patent_app_country] => US [patent_app_date] => 2025-01-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20377 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -21 [patent_words_short_claim] => 110 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19007525 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19919006 [patent_doc_number] => 12294392 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-05-06 [patent_title] => System and method for compressing and restoring data using hierarchical autoencoders and correlation networks [patent_app_type] => utility [patent_app_number] => 18/972797 [patent_app_country] => US [patent_app_date] => 2024-12-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 16 [patent_figures_cnt] => 16 [patent_no_of_words] => 10161 [patent_no_of_claims] => 6 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 91 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18972797 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19972913 [patent_doc_number] => 12341538 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-06-24 [patent_title] => Compressing entropy tables with interpolative coding [patent_app_type] => utility [patent_app_number] => 18/961011 [patent_app_country] => US [patent_app_date] => 2024-11-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 27 [patent_figures_cnt] => 31 [patent_no_of_words] => 13890 [patent_no_of_claims] => 30 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 152 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18961011 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19935653 [patent_doc_number] => 12308863 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-05-20 [patent_title] => Integrated protocol adaptation system for universal codeword applications [patent_app_type] => utility [patent_app_number] => 18/939560 [patent_app_country] => US [patent_app_date] => 2024-11-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 61 [patent_figures_cnt] => 61 [patent_no_of_words] => 35329 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 58 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18939560 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19782104 [patent_doc_number] => 12231151 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-02-18 [patent_title] => Federated large codeword model deep learning architecture with homomorphic compression and encryption [patent_app_type] => utility [patent_app_number] => 18/919394 [patent_app_country] => US [patent_app_date] => 2024-10-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 27 [patent_figures_cnt] => 27 [patent_no_of_words] => 36309 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 117 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18919394 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19758730 [patent_doc_number] => 20250047295 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-02-06 [patent_title] => DEEP LEARNING USING LARGE CODEWORD MODEL WITH HOMOMORPHICALLY COMPRESSED DATA [patent_app_type] => utility [patent_app_number] => 18/909976 [patent_app_country] => US [patent_app_date] => 2024-10-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 43441 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 178 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18909976 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19766469 [patent_doc_number] => 12224777 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-02-11 [patent_title] => Systems and methods for neural network based data compression [patent_app_type] => utility [patent_app_number] => 18/907442 [patent_app_country] => US [patent_app_date] => 2024-10-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 11546 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 144 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18907442 [rel_patent_id] =>[rel_patent_doc_number] =>)