Search

Allan D. Herrmann

Examiner (ID: 8820)

Most Active Art Unit
3502
Art Unit(s)
2402, 2506, 3502, 3681, 3105, 3682, 3106, 3622, 2899, 3402, 3403, 3304, 3201
Total Applications
2350
Issued Applications
2243
Pending Applications
40
Abandoned Applications
67

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 16378585 [patent_doc_number] => 20200327427 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-15 [patent_title] => SYSTEM FOR DERIVING DATA IN CONSTRAINED ENVIRONMENTS [patent_app_type] => utility [patent_app_number] => 16/864476 [patent_app_country] => US [patent_app_date] => 2020-05-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 2138 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [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] => 16864476 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/864476
System for deriving data in constrained environments Apr 30, 2020 Issued
Array ( [id] => 17309471 [patent_doc_number] => 11210587 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-12-28 [patent_title] => Distributed learning anomaly detector [patent_app_type] => utility [patent_app_number] => 16/856905 [patent_app_country] => US [patent_app_date] => 2020-04-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 14553 [patent_no_of_claims] => 24 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 199 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16856905 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/856905
Distributed learning anomaly detector Apr 22, 2020 Issued
Array ( [id] => 16209467 [patent_doc_number] => 20200242457 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-30 [patent_title] => HIGH DYNAMIC RANGE, HIGH CLASS COUNT, HIGH INPUT RATE WINNER-TAKE-ALL ON NEUROMORPHIC HARDWARE [patent_app_type] => utility [patent_app_number] => 16/842512 [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] => 8892 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 109 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16842512 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/842512
High dynamic range, high class count, high input rate winner-take-all on neuromorphic hardware Apr 6, 2020 Issued
Array ( [id] => 16161467 [patent_doc_number] => 20200218966 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-09 [patent_title] => PREFETCHING WEIGHTS FOR USE IN A NEURAL NETWORK PROCESSOR [patent_app_type] => utility [patent_app_number] => 16/826466 [patent_app_country] => US [patent_app_date] => 2020-03-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7676 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -20 [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] => 16826466 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/826466
Prefetching weights for use in a neural network processor Mar 22, 2020 Issued
Array ( [id] => 19122430 [patent_doc_number] => 11966413 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-04-23 [patent_title] => Federated artificial intelligence with cumulative learning in a computer network [patent_app_type] => utility [patent_app_number] => 16/811806 [patent_app_country] => US [patent_app_date] => 2020-03-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 13 [patent_figures_cnt] => 13 [patent_no_of_words] => 10177 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 169 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16811806 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/811806
Federated artificial intelligence with cumulative learning in a computer network Mar 5, 2020 Issued
Array ( [id] => 16018961 [patent_doc_number] => 20200184324 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-06-11 [patent_title] => NETWORK COMPOSITION MODULE FOR A BAYESIAN NEUROMORPHIC COMPILER [patent_app_type] => utility [patent_app_number] => 16/792791 [patent_app_country] => US [patent_app_date] => 2020-02-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5271 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 119 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16792791 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/792791
Network composition module for a bayesian neuromorphic compiler Feb 16, 2020 Issued
Array ( [id] => 18262450 [patent_doc_number] => 11610154 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2023-03-21 [patent_title] => Preventing overfitting of hyperparameters during training of network [patent_app_type] => utility [patent_app_number] => 16/780841 [patent_app_country] => US [patent_app_date] => 2020-02-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 14 [patent_no_of_words] => 22299 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 236 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16780841 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/780841
Preventing overfitting of hyperparameters during training of network Feb 2, 2020 Issued
Array ( [id] => 15967859 [patent_doc_number] => 20200167681 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-05-28 [patent_title] => GRAPHICAL USER INTERFACE INDICATING ANOMALOUS EVENTS [patent_app_type] => utility [patent_app_number] => 16/776302 [patent_app_country] => US [patent_app_date] => 2020-01-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11874 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -27 [patent_words_short_claim] => 159 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16776302 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/776302
Graphical user interface indicating anomalous events Jan 28, 2020 Issued
Array ( [id] => 15871217 [patent_doc_number] => 20200143012 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-05-07 [patent_title] => DIGITAL RIGHTS MANAGEMENT USING A DIGITAL AGENT [patent_app_type] => utility [patent_app_number] => 16/736269 [patent_app_country] => US [patent_app_date] => 2020-01-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4334 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16736269 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/736269
DIGITAL RIGHTS MANAGEMENT USING A DIGITAL AGENT Jan 6, 2020 Abandoned
Array ( [id] => 18766185 [patent_doc_number] => 11816588 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-11-14 [patent_title] => Forecasting demand using hierarchical temporal memory [patent_app_type] => utility [patent_app_number] => 16/726101 [patent_app_country] => US [patent_app_date] => 2019-12-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 9114 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 186 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16726101 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/726101
Forecasting demand using hierarchical temporal memory Dec 22, 2019 Issued
Array ( [id] => 16903779 [patent_doc_number] => 20210182695 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-17 [patent_title] => Machine Learning-Based Rule Mining Algorithm [patent_app_type] => utility [patent_app_number] => 16/717819 [patent_app_country] => US [patent_app_date] => 2019-12-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5404 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 95 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16717819 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/717819
Machine learning-based rule mining algorithm Dec 16, 2019 Issued
Array ( [id] => 18720474 [patent_doc_number] => 11797820 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-10-24 [patent_title] => Data augmented training of reinforcement learning software agent [patent_app_type] => utility [patent_app_number] => 16/704395 [patent_app_country] => US [patent_app_date] => 2019-12-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 12 [patent_figures_cnt] => 12 [patent_no_of_words] => 9018 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 357 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16704395 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/704395
Data augmented training of reinforcement learning software agent Dec 4, 2019 Issued
Array ( [id] => 16872841 [patent_doc_number] => 20210166308 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-03 [patent_title] => AUGMENTING MACHINE LEARNING MODELS TO INCORPORATE INCOMPLETE DATASETS [patent_app_type] => utility [patent_app_number] => 16/702479 [patent_app_country] => US [patent_app_date] => 2019-12-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9533 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 193 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16702479 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/702479
Augmenting machine learning models to incorporate incomplete datasets Dec 2, 2019 Issued
Array ( [id] => 19811560 [patent_doc_number] => 12242954 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-03-04 [patent_title] => Interactive machine learning [patent_app_type] => utility [patent_app_number] => 16/699010 [patent_app_country] => US [patent_app_date] => 2019-11-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 17 [patent_no_of_words] => 9546 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 189 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16699010 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/699010
Interactive machine learning Nov 27, 2019 Issued
Array ( [id] => 19811560 [patent_doc_number] => 12242954 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-03-04 [patent_title] => Interactive machine learning [patent_app_type] => utility [patent_app_number] => 16/699010 [patent_app_country] => US [patent_app_date] => 2019-11-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 17 [patent_no_of_words] => 9546 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 189 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16699010 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/699010
Interactive machine learning Nov 27, 2019 Issued
Array ( [id] => 19811560 [patent_doc_number] => 12242954 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-03-04 [patent_title] => Interactive machine learning [patent_app_type] => utility [patent_app_number] => 16/699010 [patent_app_country] => US [patent_app_date] => 2019-11-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 17 [patent_no_of_words] => 9546 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 189 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16699010 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/699010
Interactive machine learning Nov 27, 2019 Issued
Array ( [id] => 19811560 [patent_doc_number] => 12242954 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-03-04 [patent_title] => Interactive machine learning [patent_app_type] => utility [patent_app_number] => 16/699010 [patent_app_country] => US [patent_app_date] => 2019-11-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 17 [patent_no_of_words] => 9546 [patent_no_of_claims] => 21 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 189 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16699010 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/699010
Interactive machine learning Nov 27, 2019 Issued
Array ( [id] => 16600665 [patent_doc_number] => 20210027196 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-28 [patent_title] => BLOCKCHAIN-BASED TRAINING DATA MANAGEMENT SYSTEM AND METHOD FOR TRUSTED MODEL IMPROVEMENTS [patent_app_type] => utility [patent_app_number] => 16/697608 [patent_app_country] => US [patent_app_date] => 2019-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6653 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 138 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16697608 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/697608
Blockchain-based training data management system and method for trusted model improvements Nov 26, 2019 Issued
Array ( [id] => 16652598 [patent_doc_number] => 10929781 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-02-23 [patent_title] => Systems and methods for determining training parameters for dialog generation [patent_app_type] => utility [patent_app_number] => 16/669866 [patent_app_country] => US [patent_app_date] => 2019-10-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 9496 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 224 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16669866 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/669866
Systems and methods for determining training parameters for dialog generation Oct 30, 2019 Issued
Array ( [id] => 16459089 [patent_doc_number] => 10842415 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-11-24 [patent_title] => Devices, systems, and methods for monitoring and assessing gait, stability, and/or balance of a user [patent_app_type] => utility [patent_app_number] => 16/664379 [patent_app_country] => US [patent_app_date] => 2019-10-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 23 [patent_figures_cnt] => 41 [patent_no_of_words] => 16709 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 357 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16664379 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/664379
Devices, systems, and methods for monitoring and assessing gait, stability, and/or balance of a user Oct 24, 2019 Issued
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