Search

Daniel A. Kuddus

Examiner (ID: 10308, Phone: (571)270-1722 , Office: P/2154 )

Most Active Art Unit
2154
Art Unit(s)
2164, 2154
Total Applications
704
Issued Applications
474
Pending Applications
47
Abandoned Applications
198

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 16585221 [patent_doc_number] => 20210019623 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-21 [patent_title] => ATTENTION-BASED SEQUENCE TRANSDUCTION NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/988518 [patent_app_country] => US [patent_app_date] => 2020-08-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8203 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 226 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16988518 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/988518
Attention-based sequence transduction neural networks Aug 6, 2020 Issued
Array ( [id] => 17402717 [patent_doc_number] => 20220044808 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-10 [patent_title] => PREDICTIVE MONITORING OF THE GLUCOSE-INSULIN ENDOCRINE METABOLIC REGULATORY SYSTEM [patent_app_type] => utility [patent_app_number] => 16/985759 [patent_app_country] => US [patent_app_date] => 2020-08-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 33193 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 279 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16985759 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/985759
Predictive monitoring of the glucose-insulin endocrine metabolic regulatory system Aug 4, 2020 Issued
Array ( [id] => 18697506 [patent_doc_number] => 20230327969 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-10-12 [patent_title] => QUANTUM COMPUTING DEVICE FOR DETERMINING A NETWORK PARAMETER [patent_app_type] => utility [patent_app_number] => 18/018537 [patent_app_country] => US [patent_app_date] => 2020-07-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7436 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [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] => 18018537 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/018537
QUANTUM COMPUTING DEVICE FOR DETERMINING A NETWORK PARAMETER Jul 28, 2020 Pending
Array ( [id] => 16722744 [patent_doc_number] => 20210089891 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-25 [patent_title] => DEEP REINFORCEMENT LEARNING BASED METHOD FOR SURREPTITIOUSLY GENERATING SIGNALS TO FOOL A RECURRENT NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/937503 [patent_app_country] => US [patent_app_date] => 2020-07-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5785 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 135 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16937503 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/937503
Deep reinforcement learning based method for surreptitiously generating signals to fool a recurrent neural network Jul 22, 2020 Issued
Array ( [id] => 16470820 [patent_doc_number] => 20200372357 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-11-26 [patent_title] => ATTENTION-BASED SEQUENCE TRANSDUCTION NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/932422 [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] => 8179 [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] => 16932422 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/932422
Attention-based sequence transduction neural networks Jul 16, 2020 Issued
Array ( [id] => 18839493 [patent_doc_number] => 11847567 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2023-12-19 [patent_title] => Loss-aware replication of neural network layers [patent_app_type] => utility [patent_app_number] => 16/923003 [patent_app_country] => US [patent_app_date] => 2020-07-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 33 [patent_figures_cnt] => 37 [patent_no_of_words] => 44049 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 247 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16923003 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/923003
Loss-aware replication of neural network layers Jul 6, 2020 Issued
Array ( [id] => 16379258 [patent_doc_number] => 20200328101 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-15 [patent_title] => SEARCH APPARATUS AND SEARCH METHOD [patent_app_type] => utility [patent_app_number] => 16/911669 [patent_app_country] => US [patent_app_date] => 2020-06-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16109 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 290 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16911669 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/911669
SEARCH APPARATUS AND SEARCH METHOD Jun 24, 2020 Abandoned
Array ( [id] => 17779952 [patent_doc_number] => 20220246302 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-08-04 [patent_title] => DATA ANALYSIS APPARATUS, DATA ANALYSIS METHOD, AND DATA ANALYSIS PROGRAM [patent_app_type] => utility [patent_app_number] => 17/621884 [patent_app_country] => US [patent_app_date] => 2020-06-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5130 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 154 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17621884 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/621884
DATA ANALYSIS APPARATUS, DATA ANALYSIS METHOD, AND DATA ANALYSIS PROGRAM Jun 21, 2020 Abandoned
Array ( [id] => 18585013 [patent_doc_number] => 20230267277 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-08-24 [patent_title] => SYSTEMS AND METHODS FOR USING DOCUMENT ACTIVITY LOGS TO TRAIN MACHINE-LEARNED MODELS FOR DETERMINING DOCUMENT RELEVANCE [patent_app_type] => utility [patent_app_number] => 18/010727 [patent_app_country] => US [patent_app_date] => 2020-06-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 18569 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 171 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18010727 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/010727
SYSTEMS AND METHODS FOR USING DOCUMENT ACTIVITY LOGS TO TRAIN MACHINE-LEARNED MODELS FOR DETERMINING DOCUMENT RELEVANCE Jun 14, 2020 Pending
Array ( [id] => 16285579 [patent_doc_number] => 20200279181 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-09-03 [patent_title] => Multi-Platform Machine Learning Systems [patent_app_type] => utility [patent_app_number] => 16/878120 [patent_app_country] => US [patent_app_date] => 2020-05-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11367 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16878120 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/878120
Multi-platform machine learning systems May 18, 2020 Issued
Array ( [id] => 17231200 [patent_doc_number] => 20210357757 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-18 [patent_title] => CUSTOMIZING AN ARTIFICIAL INTELLIGENCE MODEL TO PROCESS A DATA SET [patent_app_type] => utility [patent_app_number] => 16/875792 [patent_app_country] => US [patent_app_date] => 2020-05-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7333 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [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] => 16875792 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/875792
Customizing an artificial intelligence model to process a data set May 14, 2020 Issued
Array ( [id] => 16378549 [patent_doc_number] => 20200327391 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-15 [patent_title] => SYSTEM AND METHOD FOR PARALLELIZING CONVOLUTIONAL NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/859815 [patent_app_country] => US [patent_app_date] => 2020-04-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 2783 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 156 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16859815 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/859815
System and method for parallelizing convolutional neural networks Apr 26, 2020 Issued
Array ( [id] => 16363641 [patent_doc_number] => 20200320392 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-08 [patent_title] => OPTIMIZATION PROCESSING FOR NEURAL NETWORK MODEL [patent_app_type] => utility [patent_app_number] => 16/850792 [patent_app_country] => US [patent_app_date] => 2020-04-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5806 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16850792 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/850792
Optimization processing for neural network model Apr 15, 2020 Issued
Array ( [id] => 16378598 [patent_doc_number] => 20200327440 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-15 [patent_title] => Discrete Optimization Using Continuous Latent Space [patent_app_type] => utility [patent_app_number] => 16/844011 [patent_app_country] => US [patent_app_date] => 2020-04-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8726 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 280 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16844011 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/844011
Discrete Optimization Using Continuous Latent Space Apr 8, 2020 Abandoned
Array ( [id] => 16193157 [patent_doc_number] => 20200234006 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-23 [patent_title] => PERFORMING CHEMICAL TEXTUAL ANALYSIS [patent_app_type] => utility [patent_app_number] => 16/842587 [patent_app_country] => US [patent_app_date] => 2020-04-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7910 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 49 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16842587 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/842587
PERFORMING CHEMICAL TEXTUAL ANALYSIS Apr 6, 2020 Abandoned
Array ( [id] => 16659763 [patent_doc_number] => 20210056400 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-02-25 [patent_title] => Dataflow Triggered Tasks for Accelerated Deep Learning [patent_app_type] => utility [patent_app_number] => 16/840111 [patent_app_country] => US [patent_app_date] => 2020-04-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 62890 [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] => 16840111 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/840111
Dataflow Triggered Tasks for Accelerated Deep Learning Apr 2, 2020 Abandoned
Array ( [id] => 16179477 [patent_doc_number] => 20200226445 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-16 [patent_title] => IMPLEMENTING NEURAL NETWORKS IN FIXED POINT ARITHMETIC COMPUTING SYSTEMS [patent_app_type] => utility [patent_app_number] => 16/830922 [patent_app_country] => US [patent_app_date] => 2020-03-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5154 [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] => 16830922 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/830922
Implementing neural networks in fixed point arithmetic computing systems Mar 25, 2020 Issued
Array ( [id] => 17069796 [patent_doc_number] => 20210272013 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-02 [patent_title] => CONCEPT MODELING SYSTEM [patent_app_type] => utility [patent_app_number] => 16/803777 [patent_app_country] => US [patent_app_date] => 2020-02-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13287 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -39 [patent_words_short_claim] => 181 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16803777 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/803777
CONCEPT MODELING SYSTEM Feb 26, 2020 Abandoned
Array ( [id] => 19398969 [patent_doc_number] => 12073341 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-08-27 [patent_title] => Proactive spatiotemporal resource allocation and predictive visual analytics system [patent_app_type] => utility [patent_app_number] => 16/792785 [patent_app_country] => US [patent_app_date] => 2020-02-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 13 [patent_figures_cnt] => 13 [patent_no_of_words] => 10144 [patent_no_of_claims] => 29 [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] => 16792785 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/792785
Proactive spatiotemporal resource allocation and predictive visual analytics system Feb 16, 2020 Issued
Array ( [id] => 16378531 [patent_doc_number] => 20200327373 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-15 [patent_title] => MACHINE LEARNING BASED EXTRACTION OF PARTITION OBJECTS FROM ELECTRONIC DOCUMENTS [patent_app_type] => utility [patent_app_number] => 16/790945 [patent_app_country] => US [patent_app_date] => 2020-02-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8992 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 189 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16790945 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/790945
Machine learning based extraction of partition objects from electronic documents Feb 13, 2020 Issued
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