Search

Albert Decady

Supervisory Patent Examiner (ID: 6172, Phone: (571)272-3819 , Office: P/2112 )

Most Active Art Unit
2413
Art Unit(s)
2112, 2785, 2413, 2784, 2313, 2121, 2133
Total Applications
532
Issued Applications
390
Pending Applications
30
Abandoned Applications
112

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 17388341 [patent_doc_number] => 20220036193 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-03 [patent_title] => Methods and Systems for Reducing the Complexity of a Computational Network [patent_app_type] => utility [patent_app_number] => 17/388985 [patent_app_country] => US [patent_app_date] => 2021-07-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 2801 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 72 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17388985 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/388985
Methods and Systems for Reducing the Complexity of a Computational Network Jul 28, 2021 Abandoned
Array ( [id] => 18038958 [patent_doc_number] => 20220383174 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-12-01 [patent_title] => HYBRID QUANTUM CLASSIFICATION AND DETECTION OF ANOMALIES IN APPARATUSES AND PROCESSES [patent_app_type] => utility [patent_app_number] => 17/368621 [patent_app_country] => US [patent_app_date] => 2021-07-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10318 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 317 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17368621 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/368621
Hybrid quantum classification and detection of anomalies in apparatuses and processes Jul 5, 2021 Issued
Array ( [id] => 18096103 [patent_doc_number] => 20220414444 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-12-29 [patent_title] => COMPUTATION IN MEMORY (CIM) ARCHITECTURE AND DATAFLOW SUPPORTING A DEPTH-WISE CONVOLUTIONAL NEURAL NETWORK (CNN) [patent_app_type] => utility [patent_app_number] => 17/361784 [patent_app_country] => US [patent_app_date] => 2021-06-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13195 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 116 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17361784 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/361784
COMPUTATION IN MEMORY (CIM) ARCHITECTURE AND DATAFLOW SUPPORTING A DEPTH-WISE CONVOLUTIONAL NEURAL NETWORK (CNN) Jun 28, 2021 Pending
Array ( [id] => 18079985 [patent_doc_number] => 20220405597 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-12-22 [patent_title] => SYSTEM, DEVICES AND/OR PROCESSES FOR ADAPTING NEURAL NETWORK PROCESSING DEVICES [patent_app_type] => utility [patent_app_number] => 17/349780 [patent_app_country] => US [patent_app_date] => 2021-06-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10891 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 99 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17349780 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/349780
SYSTEM, DEVICES AND/OR PROCESSES FOR ADAPTING NEURAL NETWORK PROCESSING DEVICES Jun 15, 2021 Pending
Array ( [id] => 17173085 [patent_doc_number] => 20210326756 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-10-21 [patent_title] => METHODS OF PROVIDING TRAINED HYPERDIMENSIONAL MACHINE LEARNING MODELS HAVING CLASSES WITH REDUCED ELEMENTS AND RELATED COMPUTING SYSTEMS [patent_app_type] => utility [patent_app_number] => 17/224306 [patent_app_country] => US [patent_app_date] => 2021-04-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10263 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [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] => 17224306 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/224306
METHODS OF PROVIDING TRAINED HYPERDIMENSIONAL MACHINE LEARNING MODELS HAVING CLASSES WITH REDUCED ELEMENTS AND RELATED COMPUTING SYSTEMS Apr 6, 2021 Pending
Array ( [id] => 17216880 [patent_doc_number] => 20210350218 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-11 [patent_title] => BAYESIAN NEURAL NETWORK WITH RESISTIVE MEMORY HARDWARE ACCELERATOR AND METHOD FOR PROGRAMMING THE SAME [patent_app_type] => utility [patent_app_number] => 17/224696 [patent_app_country] => US [patent_app_date] => 2021-04-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7947 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 208 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17224696 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/224696
Bayesian neural network with resistive memory hardware accelerator and method for programming the same Apr 6, 2021 Issued
Array ( [id] => 17916291 [patent_doc_number] => 20220318687 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-10-06 [patent_title] => DYNAMICALLY SCALABLE MACHINE LEARNING MODEL GENERATION AND RETRAINING THROUGH CONTAINERIZATION [patent_app_type] => utility [patent_app_number] => 17/223859 [patent_app_country] => US [patent_app_date] => 2021-04-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8132 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 224 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17223859 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/223859
Dynamically scalable machine learning model generation and retraining through containerization Apr 5, 2021 Issued
Array ( [id] => 17916016 [patent_doc_number] => 20220318412 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-10-06 [patent_title] => PRIVACY-AWARE PRUNING IN MACHINE LEARNING [patent_app_type] => utility [patent_app_number] => 17/223946 [patent_app_country] => US [patent_app_date] => 2021-04-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8551 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [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] => 17223946 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/223946
PRIVACY-AWARE PRUNING IN MACHINE LEARNING Apr 5, 2021 Abandoned
Array ( [id] => 17024622 [patent_doc_number] => 20210248494 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-12 [patent_title] => SYSTEMS AND METHODS FOR NETWORKS OF TIME SERIES [patent_app_type] => utility [patent_app_number] => 17/208342 [patent_app_country] => US [patent_app_date] => 2021-03-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 27021 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [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] => 17208342 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/208342
SYSTEMS AND METHODS FOR NETWORKS OF TIME SERIES Mar 21, 2021 Abandoned
Array ( [id] => 17009905 [patent_doc_number] => 20210241066 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-05 [patent_title] => SYSTEMS AND METHODS FOR INTELLIGENTLY CONFIGURING AND DEPLOYING A CONTROL STRUCTURE OF A MACHINE LEARNING-BASED DIALOGUE SYSTEM [patent_app_type] => utility [patent_app_number] => 17/149786 [patent_app_country] => US [patent_app_date] => 2021-01-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10908 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 68 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17149786 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/149786
Systems and methods for intelligently configuring and deploying a control structure of a machine learning-based dialogue system Jan 14, 2021 Issued
Array ( [id] => 20388550 [patent_doc_number] => 12488279 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-12-02 [patent_title] => Domain-specific constraints for predictive modeling [patent_app_type] => utility [patent_app_number] => 17/135913 [patent_app_country] => US [patent_app_date] => 2020-12-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 0 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 265 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17135913 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/135913
Domain-specific constraints for predictive modeling Dec 27, 2020 Issued
Array ( [id] => 17644338 [patent_doc_number] => 20220172077 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-02 [patent_title] => SYSTEMS AND METHODS FOR AUTOMATED AND DYNAMIC JOURNEY INTERVENTION USING MACHINE LEARNING TECHNIQUES [patent_app_type] => utility [patent_app_number] => 17/105994 [patent_app_country] => US [patent_app_date] => 2020-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13257 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 167 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17105994 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/105994
SYSTEMS AND METHODS FOR AUTOMATED AND DYNAMIC JOURNEY INTERVENTION USING MACHINE LEARNING TECHNIQUES Nov 26, 2020 Abandoned
Array ( [id] => 19356145 [patent_doc_number] => 12056593 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-08-06 [patent_title] => Distributional reinforcement learning [patent_app_type] => utility [patent_app_number] => 17/098870 [patent_app_country] => US [patent_app_date] => 2020-11-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 9551 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 346 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17098870 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/098870
Distributional reinforcement learning Nov 15, 2020 Issued
Array ( [id] => 20266198 [patent_doc_number] => 12437191 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-10-07 [patent_title] => Training neural network model based on data point selection [patent_app_type] => utility [patent_app_number] => 17/097958 [patent_app_country] => US [patent_app_date] => 2020-11-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 20008 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 310 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17097958 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/097958
Training neural network model based on data point selection Nov 12, 2020 Issued
Array ( [id] => 17032019 [patent_doc_number] => 11093833 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-08-17 [patent_title] => Multi-objective distributed hyperparameter tuning system [patent_app_type] => utility [patent_app_number] => 17/081118 [patent_app_country] => US [patent_app_date] => 2020-10-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 20 [patent_figures_cnt] => 20 [patent_no_of_words] => 27228 [patent_no_of_claims] => 30 [patent_no_of_ind_claims] => 3 [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] => 17081118 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/081118
Multi-objective distributed hyperparameter tuning system Oct 26, 2020 Issued
Array ( [id] => 16795171 [patent_doc_number] => 20210124988 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-29 [patent_title] => INFORMATION PROCESSING APPARATUS AND METHOD AND PROGRAM FOR GENERATING INTEGRATED MODEL [patent_app_type] => utility [patent_app_number] => 17/081454 [patent_app_country] => US [patent_app_date] => 2020-10-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9851 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [patent_words_short_claim] => 208 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17081454 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/081454
Information processing apparatus and method and program for generating integrated model Oct 26, 2020 Issued
Array ( [id] => 17535826 [patent_doc_number] => 20220114435 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-04-14 [patent_title] => EFFICIENT INCREMENTAL LEARNING THROUGH PROBABILISTIC TRAINING SET SELECTION [patent_app_type] => utility [patent_app_number] => 17/069009 [patent_app_country] => US [patent_app_date] => 2020-10-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7281 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [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] => 17069009 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/069009
Efficient incremental learning through probabilistic training set selection Oct 12, 2020 Issued
Array ( [id] => 17317633 [patent_doc_number] => 20210406682 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-30 [patent_title] => QUANTIZATION OF NEURAL NETWORK MODELS USING DATA AUGMENTATION [patent_app_type] => utility [patent_app_number] => 17/030021 [patent_app_country] => US [patent_app_date] => 2020-09-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5151 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 97 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17030021 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/030021
QUANTIZATION OF NEURAL NETWORK MODELS USING DATA AUGMENTATION Sep 22, 2020 Abandoned
Array ( [id] => 16722807 [patent_doc_number] => 20210089954 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-25 [patent_title] => SYSTEMS AND METHODS FOR ACCELERATED QUANTUM OPTIMIZATION [patent_app_type] => utility [patent_app_number] => 17/027146 [patent_app_country] => US [patent_app_date] => 2020-09-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12582 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [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] => 17027146 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/027146
Systems and methods for accelerated quantum optimization Sep 20, 2020 Issued
Array ( [id] => 16722695 [patent_doc_number] => 20210089842 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-25 [patent_title] => METHOD AND SYSTEM TO CLASSIFY SENSOR DATA WITH IMPROVED TRAINING ROBUSTNESS [patent_app_type] => utility [patent_app_number] => 17/025076 [patent_app_country] => US [patent_app_date] => 2020-09-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14803 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 194 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17025076 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/025076
Method and system to classify sensor data with improved training robustness Sep 17, 2020 Issued
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