Alexander G. Ghyka

Array ( [id] => 18204483 [patent_doc_number] => 11586880 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-02-21 [patent_title] => System and method for multi-horizon time series forecasting with dynamic temporal context learning [patent_app_type] => utility [patent_app_number] => 16/541120 [patent_app_country] => US [patent_app_date] => 2019-08-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 12 [patent_no_of_words] => 13354 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 258 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16541120 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15215911 [patent_doc_number] => 20190370642 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-05 [patent_title] => PROCESSING METHOD AND DEVICE, OPERATION METHOD AND DEVICE [patent_app_type] => utility [patent_app_number] => 16/528624 [patent_app_country] => US [patent_app_date] => 2019-08-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 22525 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 55 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16528624 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15152671 [patent_doc_number] => 20190354813 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-21 [patent_title] => DATA-EFFICIENT REINFORCEMENT LEARNING FOR CONTINUOUS CONTROL TASKS [patent_app_type] => utility [patent_app_number] => 16/528260 [patent_app_country] => US [patent_app_date] => 2019-07-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8457 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 385 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16528260 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16225393 [patent_doc_number] => 20200250510 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-08-06 [patent_title] => SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE WITH A FLEXIBLE HARDWARE PROCESSING FRAMEWORK [patent_app_type] => utility [patent_app_number] => 16/528548 [patent_app_country] => US [patent_app_date] => 2019-07-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16514 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 90 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16528548 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16117141 [patent_doc_number] => 20200210593 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-02 [patent_title] => PERSONAL DATA HUB SYSTEM [patent_app_type] => utility [patent_app_number] => 16/525239 [patent_app_country] => US [patent_app_date] => 2019-07-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 23557 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 542 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16525239 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18276397 [patent_doc_number] => 11615341 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-03-28 [patent_title] => Customizable machine learning models [patent_app_type] => utility [patent_app_number] => 16/519053 [patent_app_country] => US [patent_app_date] => 2019-07-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 10990 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 230 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16519053 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14936273 [patent_doc_number] => 20190303775 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-10-03 [patent_title] => Inference-Based Assignment of Data Type to Data [patent_app_type] => utility [patent_app_number] => 16/443581 [patent_app_country] => US [patent_app_date] => 2019-06-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7847 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 205 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16443581 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17771619 [patent_doc_number] => 11403564 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-08-02 [patent_title] => Lithographic hotspot detection using multiple machine learning kernels [patent_app_type] => utility [patent_app_number] => 16/432514 [patent_app_country] => US [patent_app_date] => 2019-06-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 16 [patent_no_of_words] => 9042 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 188 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16432514 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18506717 [patent_doc_number] => 11704536 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2023-07-18 [patent_title] => Convolution circuitry [patent_app_type] => utility [patent_app_number] => 16/427214 [patent_app_country] => US [patent_app_date] => 2019-05-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 5007 [patent_no_of_claims] => 8 [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] => 16427214 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15152763 [patent_doc_number] => 20190354859 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-21 [patent_title] => META-GRADIENT UPDATES FOR TRAINING RETURN FUNCTIONS FOR REINFORCEMENT LEARNING SYSTEMS [patent_app_type] => utility [patent_app_number] => 16/417536 [patent_app_country] => US [patent_app_date] => 2019-05-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12142 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 187 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16417536 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15121847 [patent_doc_number] => 20190347557 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-14 [patent_title] => Generalizable and Interpretable Deep Learning Framework for Predicting MSI from Histopathology Slide Images [patent_app_type] => utility [patent_app_number] => 16/412362 [patent_app_country] => US [patent_app_date] => 2019-05-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10353 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [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] => 16412362 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15028525 [patent_doc_number] => 20190325267 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-10-24 [patent_title] => MACHINE LEARNING PREDICTIVE LABELING SYSTEM [patent_app_type] => utility [patent_app_number] => 16/400157 [patent_app_country] => US [patent_app_date] => 2019-05-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11558 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -27 [patent_words_short_claim] => 483 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16400157 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16279382 [patent_doc_number] => 10762414 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-09-01 [patent_title] => Systems and methods for sharing an artificial intelligence personality [patent_app_type] => utility [patent_app_number] => 16/389856 [patent_app_country] => US [patent_app_date] => 2019-04-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 10 [patent_no_of_words] => 9307 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 322 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16389856 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15426613 [patent_doc_number] => 10546238 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-01-28 [patent_title] => Pre-training of neural network by parameter decomposition [patent_app_type] => utility [patent_app_number] => 16/378696 [patent_app_country] => US [patent_app_date] => 2019-04-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 8487 [patent_no_of_claims] => 1 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 502 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16378696 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 15183311 [patent_doc_number] => 20190362247 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-28 [patent_title] => IMAGE TAGGING BASED UPON CROSS DOMAIN CONTEXT [patent_app_type] => utility [patent_app_number] => 16/374551 [patent_app_country] => US [patent_app_date] => 2019-04-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7953 [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] => 16374551 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17977774 [patent_doc_number] => 11494637 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-11-08 [patent_title] => Layer-wise distillation for protecting pre-trained neural network models [patent_app_type] => utility [patent_app_number] => 16/367448 [patent_app_country] => US [patent_app_date] => 2019-03-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 9 [patent_no_of_words] => 13004 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 228 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16367448 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18031134 [patent_doc_number] => 11514325 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-11-29 [patent_title] => Method and system for phase recovery and holographic image reconstruction using a neural network [patent_app_type] => utility [patent_app_number] => 16/359609 [patent_app_country] => US [patent_app_date] => 2019-03-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 47 [patent_no_of_words] => 13435 [patent_no_of_claims] => 28 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 120 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16359609 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18547109 [patent_doc_number] => 11720461 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-08-08 [patent_title] => Automated detection of code regressions from time-series data [patent_app_type] => utility [patent_app_number] => 16/351384 [patent_app_country] => US [patent_app_date] => 2019-03-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 10 [patent_no_of_words] => 8990 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 281 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16351384 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 14902469 [patent_doc_number] => 20190295000 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-09-26 [patent_title] => EVOLVED MACHINE LEARNING MODELS [patent_app_type] => utility [patent_app_number] => 16/287189 [patent_app_country] => US [patent_app_date] => 2019-02-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12202 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 196 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16287189 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20440721 [patent_doc_number] => 12511559 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-12-30 [patent_title] => Using bayesian inference to predict review decisions in a match graph [patent_app_type] => utility [patent_app_number] => 17/419228 [patent_app_country] => US [patent_app_date] => 2019-02-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 9 [patent_no_of_words] => 8395 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 271 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17419228 [rel_patent_id] =>[rel_patent_doc_number] =>)