Jinhee J. Lee

Array ( [id] => 20222001 [patent_doc_number] => 20250284932 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-09-11 [patent_title] => Artificial Intelligence Deliberative Assembly (AIDA) [patent_app_type] => utility [patent_app_number] => 19/075941 [patent_app_country] => US [patent_app_date] => 2025-03-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 0 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 93 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19075941 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20052577 [patent_doc_number] => 20250190799 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-06-12 [patent_title] => ADVERSARIAL-ROBUST VECTOR QUANTIZED VARIATIONAL AUTOENCODER WITH SECURE LATENT SPACE FOR TIME-SERIES DATA [patent_app_type] => utility [patent_app_number] => 19/050038 [patent_app_country] => US [patent_app_date] => 2025-02-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 30495 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 104 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19050038 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20095466 [patent_doc_number] => 20250225402 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-07-10 [patent_title] => SYSTEMS AND METHODS FOR IMPROVING PERFORMANCE OF A LARGE LANGUAGE MODEL BY CONTROLLING TRAINING CONTENT [patent_app_type] => utility [patent_app_number] => 19/009697 [patent_app_country] => US [patent_app_date] => 2025-01-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20166 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -28 [patent_words_short_claim] => 111 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19009697 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20250155 [patent_doc_number] => 20250299024 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-09-25 [patent_title] => Magnitude Invariant Multimodal Agent for Efficient Image-Text Interface Automation [patent_app_type] => utility [patent_app_number] => 18/909558 [patent_app_country] => US [patent_app_date] => 2024-10-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 46976 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 150 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18909558 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20043680 [patent_doc_number] => 20250181902 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-06-05 [patent_title] => METHOD AND APPARATUS FOR EVALUATING QUANTIZED ARTIFICIAL NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 18/835785 [patent_app_country] => US [patent_app_date] => 2024-07-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 440 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [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] => 18835785 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19406918 [patent_doc_number] => 20240290429 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-08-29 [patent_title] => IDENTIFYING BIOSYNTHETIC GENE CLUSTERS [patent_app_type] => utility [patent_app_number] => 18/654581 [patent_app_country] => US [patent_app_date] => 2024-05-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6217 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 165 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18654581 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20455089 [patent_doc_number] => 12518143 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-01-06 [patent_title] => Feedforward generative neural networks [patent_app_type] => utility [patent_app_number] => 18/607777 [patent_app_country] => US [patent_app_date] => 2024-03-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 3019 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 307 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18607777 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19791967 [patent_doc_number] => 12232890 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-02-25 [patent_title] => Electrocardiogram (ECG) signal quality evaluation method based on multi-scale convolutional and densely connected network [patent_app_type] => utility [patent_app_number] => 18/398263 [patent_app_country] => US [patent_app_date] => 2023-12-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 15 [patent_no_of_words] => 7448 [patent_no_of_claims] => 9 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 1917 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18398263 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20019363 [patent_doc_number] => 20250157585 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-05-15 [patent_title] => UTILIZING COMPOUND-PROTEIN MACHINE LEARNING REPRESENTATIONS TO GENERATE BIOACTIVITY PREDICTIONS [patent_app_type] => utility [patent_app_number] => 18/505754 [patent_app_country] => US [patent_app_date] => 2023-11-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18844 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 33 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18505754 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19993025 [patent_doc_number] => 20250131247 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-04-24 [patent_title] => Systems and Methods for Managing Decentralized Data Sources in Generative Artificial Intelligence Pipelines [patent_app_type] => utility [patent_app_number] => 18/493741 [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] => 10176 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -11 [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] => 18493741 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19100028 [patent_doc_number] => 20240119256 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-04-11 [patent_title] => Highly Efficient Convolutional Neural Networks [patent_app_type] => utility [patent_app_number] => 18/486534 [patent_app_country] => US [patent_app_date] => 2023-10-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10195 [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] => 18486534 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18942235 [patent_doc_number] => 20240037374 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-02-01 [patent_title] => SYSTEM AND METHOD FOR CHAINING DISCRETE MODELS [patent_app_type] => utility [patent_app_number] => 18/483056 [patent_app_country] => US [patent_app_date] => 2023-10-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 19809 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 203 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18483056 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18678392 [patent_doc_number] => 20230316040 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-10-05 [patent_title] => NEURAL PROCESSING UNIT CAPABLE OF SWITCHING ANN MODELS [patent_app_type] => utility [patent_app_number] => 18/312660 [patent_app_country] => US [patent_app_date] => 2023-05-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15830 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -21 [patent_words_short_claim] => 86 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18312660 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19558956 [patent_doc_number] => 20240370748 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-11-07 [patent_title] => APPARATUS AND A METHOD FOR THE DETECTION AND IMPROVEMENT OF DEFICIENCY DATA [patent_app_type] => utility [patent_app_number] => 18/142312 [patent_app_country] => US [patent_app_date] => 2023-05-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18197 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [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] => 18142312 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18585064 [patent_doc_number] => 20230267328 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-08-24 [patent_title] => MATCHING BASED INTENT UNDERSTANDING WITH TRANSFER LEARNING [patent_app_type] => utility [patent_app_number] => 18/310242 [patent_app_country] => US [patent_app_date] => 2023-05-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9503 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 122 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18310242 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19558941 [patent_doc_number] => 20240370733 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-11-07 [patent_title] => ITERATIVE ONLINE LEARNING TO IMPROVE TARGETED ADVERTISING [patent_app_type] => utility [patent_app_number] => 18/310018 [patent_app_country] => US [patent_app_date] => 2023-05-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16491 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [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] => 18310018 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19348024 [patent_doc_number] => 20240256988 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-08-01 [patent_title] => SYSTEMS AND METHODS FOR TRAINING AND LEVERAGING A MULTI-HEADED MACHINE LEARNING MODEL FOR PREDICTIVE ACTIONS IN A COMPLEX PREDICTION DOMAIN [patent_app_type] => utility [patent_app_number] => 18/309092 [patent_app_country] => US [patent_app_date] => 2023-04-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 24947 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 117 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18309092 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19530702 [patent_doc_number] => 20240354604 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-10-24 [patent_title] => NON-LINEAR MULTI-DIMENSIONAL COST FUNCTION FOR ARTIFICIAL INTELLIGENCE INFERENCE [patent_app_type] => utility [patent_app_number] => 18/305676 [patent_app_country] => US [patent_app_date] => 2023-04-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8442 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 63 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18305676 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19514676 [patent_doc_number] => 20240346362 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-10-17 [patent_title] => ABSTRACTING COMPUTER-BASED INTERACTION(S) FOR AUTOMATION OF TASK(S) [patent_app_type] => utility [patent_app_number] => 18/135043 [patent_app_country] => US [patent_app_date] => 2023-04-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10383 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 113 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18135043 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18711742 [patent_doc_number] => 20230334371 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-10-19 [patent_title] => METHOD FOR TRAINING A MACHINE LEARNING ALGORITHM TAKING INTO ACCOUNT AT LEAST ONE INEQUALITY CONSTRAINT [patent_app_type] => utility [patent_app_number] => 18/299213 [patent_app_country] => US [patent_app_date] => 2023-04-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4390 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -6 [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] => 18299213 [rel_patent_id] =>[rel_patent_doc_number] =>)