Granvill D. Lee

Array ( [id] => 17707613 [patent_doc_number] => 20220207621 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-30 [patent_title] => INTERACTION NEURAL NETWORK FOR PROVIDING FEEDBACK BETWEEN SEPARATE NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 17/136249 [patent_app_country] => US [patent_app_date] => 2020-12-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9885 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 235 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17136249 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16935290 [patent_doc_number] => 20210201179 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-07-01 [patent_title] => METHOD AND SYSTEM FOR DESIGNING A PREDICTION MODEL [patent_app_type] => utility [patent_app_number] => 17/136567 [patent_app_country] => US [patent_app_date] => 2020-12-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8592 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 197 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17136567 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17129229 [patent_doc_number] => 20210303998 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-30 [patent_title] => MULTI-CHILLER SCHEDULING USING REINFORCEMENT LEARNING WITH TRANSFER LEARNING FOR POWER CONSUMPTION PREDICTION [patent_app_type] => utility [patent_app_number] => 17/136957 [patent_app_country] => US [patent_app_date] => 2020-12-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9238 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 256 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17136957 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17707613 [patent_doc_number] => 20220207621 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-30 [patent_title] => INTERACTION NEURAL NETWORK FOR PROVIDING FEEDBACK BETWEEN SEPARATE NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 17/136249 [patent_app_country] => US [patent_app_date] => 2020-12-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9885 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 235 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17136249 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17707613 [patent_doc_number] => 20220207621 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-30 [patent_title] => INTERACTION NEURAL NETWORK FOR PROVIDING FEEDBACK BETWEEN SEPARATE NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 17/136249 [patent_app_country] => US [patent_app_date] => 2020-12-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9885 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 235 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17136249 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16919204 [patent_doc_number] => 20210192296 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-24 [patent_title] => DATA DE-IDENTIFICATION METHOD AND APPARATUS [patent_app_type] => utility [patent_app_number] => 17/131039 [patent_app_country] => US [patent_app_date] => 2020-12-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5408 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 83 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17131039 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17690999 [patent_doc_number] => 20220198292 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-23 [patent_title] => AUTOMATION OF VIRTUAL ASSISTANT TRAINING [patent_app_type] => utility [patent_app_number] => 17/128399 [patent_app_country] => US [patent_app_date] => 2020-12-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7067 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 83 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17128399 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16872681 [patent_doc_number] => 20210166148 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-03 [patent_title] => VARIATIONALLY AND ADIABATICALLY NAVIGATED QUANTUM EIGENSOLVERS [patent_app_type] => utility [patent_app_number] => 17/122828 [patent_app_country] => US [patent_app_date] => 2020-12-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12170 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [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] => 17122828 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16872681 [patent_doc_number] => 20210166148 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-03 [patent_title] => VARIATIONALLY AND ADIABATICALLY NAVIGATED QUANTUM EIGENSOLVERS [patent_app_type] => utility [patent_app_number] => 17/122828 [patent_app_country] => US [patent_app_date] => 2020-12-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12170 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [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] => 17122828 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16919253 [patent_doc_number] => 20210192345 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-24 [patent_title] => METHOD FOR GENERATING LABELED DATA, IN PARTICULAR FOR TRAINING A NEURAL NETWORK, BY USING UNLABELED PARTITIONED SAMPLES [patent_app_type] => utility [patent_app_number] => 17/117260 [patent_app_country] => US [patent_app_date] => 2020-12-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10583 [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] => 17117260 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16857417 [patent_doc_number] => 20210158162 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-27 [patent_title] => TRAINING REINFORCEMENT LEARNING AGENTS TO LEARN FARSIGHTED BEHAVIORS BY PREDICTING IN LATENT SPACE [patent_app_type] => utility [patent_app_number] => 17/103827 [patent_app_country] => US [patent_app_date] => 2020-11-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10523 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 374 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17103827 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17581432 [patent_doc_number] => 20220138287 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-05 [patent_title] => PUBLISHED CONTENT PROTECTION [patent_app_type] => utility [patent_app_number] => 17/083566 [patent_app_country] => US [patent_app_date] => 2020-10-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8915 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 118 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17083566 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20388503 [patent_doc_number] => 12488232 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-12-02 [patent_title] => High-level syntax for priority signaling in neural network compression [patent_app_type] => utility [patent_app_number] => 17/060658 [patent_app_country] => US [patent_app_date] => 2020-10-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 13 [patent_figures_cnt] => 14 [patent_no_of_words] => 9136 [patent_no_of_claims] => 33 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 200 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17060658 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17508075 [patent_doc_number] => 20220101178 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-31 [patent_title] => ADAPTIVE DISTRIBUTED LEARNING MODEL OPTIMIZATION FOR PERFORMANCE PREDICTION UNDER DATA PRIVACY CONSTRAINTS [patent_app_type] => utility [patent_app_number] => 17/032515 [patent_app_country] => US [patent_app_date] => 2020-09-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8228 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [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] => 17032515 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16722753 [patent_doc_number] => 20210089900 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-25 [patent_title] => TRANSFORMER DGA DATA PREDICTION METHOD BASED ON MULTI-DIMENSIONAL TIME SEQUENCE FRAME CONVOLUTION LSTM [patent_app_type] => utility [patent_app_number] => 17/020836 [patent_app_country] => US [patent_app_date] => 2020-09-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3858 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 276 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17020836 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17476398 [patent_doc_number] => 20220083902 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-17 [patent_title] => Discrete Learning Engine Device [patent_app_type] => utility [patent_app_number] => 17/019287 [patent_app_country] => US [patent_app_date] => 2020-09-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10262 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 231 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17019287 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17114585 [patent_doc_number] => 20210295182 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-23 [patent_title] => MACHINE LEARNING SYSTEM AND MACHINE LEARNING METHOD [patent_app_type] => utility [patent_app_number] => 17/017928 [patent_app_country] => US [patent_app_date] => 2020-09-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9558 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 123 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17017928 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16903789 [patent_doc_number] => 20210182705 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-17 [patent_title] => MACHINE LEARNING BASED SKIN CONDITION RECOMMENDATION ENGINE [patent_app_type] => utility [patent_app_number] => 16/936329 [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] => 5999 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 158 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16936329 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16616270 [patent_doc_number] => 20210034923 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-02-04 [patent_title] => SYSTEM, METHOD, AND NON-TRANSITORY STORAGE MEDIUM [patent_app_type] => utility [patent_app_number] => 16/933432 [patent_app_country] => US [patent_app_date] => 2020-07-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7005 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -5 [patent_words_short_claim] => 132 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16933432 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16596800 [patent_doc_number] => 20210023331 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-28 [patent_title] => COMPUTER ARCHITECTURE FOR IDENTIFYING SLEEP STAGES [patent_app_type] => utility [patent_app_number] => 16/932348 [patent_app_country] => US [patent_app_date] => 2020-07-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13305 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 76 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16932348 [rel_patent_id] =>[rel_patent_doc_number] =>)