Search

Daniel Leon Robinson

Examiner (ID: 12223)

Most Active Art Unit
3742
Art Unit(s)
3742
Total Applications
1162
Issued Applications
999
Pending Applications
0
Abandoned Applications
163

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 18184375 [patent_doc_number] => 20230045105 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-02-09 [patent_title] => SYSTEM AND METHOD FOR IMPROVING USER ENGAGEMENT BASED ON USER SESSION ANALYSIS [patent_app_type] => utility [patent_app_number] => 17/958701 [patent_app_country] => US [patent_app_date] => 2022-10-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9082 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 108 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17958701 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/958701
SYSTEM AND METHOD FOR IMPROVING USER ENGAGEMENT BASED ON USER SESSION ANALYSIS Oct 2, 2022 Pending
Array ( [id] => 18160147 [patent_doc_number] => 20230026739 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-01-26 [patent_title] => RECURRENT NEURAL NETWORK AND TRAINING PROCESS FOR SAME [patent_app_type] => utility [patent_app_number] => 17/937060 [patent_app_country] => US [patent_app_date] => 2022-09-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11177 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 140 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17937060 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/937060
Recurrent neural network and training process for same Sep 29, 2022 Issued
Array ( [id] => 17659786 [patent_doc_number] => 20220180251 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-09 [patent_title] => SIDELINK-ASSISTED UPDATE AGGREGATION IN FEDERATED LEARNING [patent_app_type] => utility [patent_app_number] => 17/111470 [patent_app_country] => US [patent_app_date] => 2020-12-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 19341 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 56 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17111470 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/111470
SIDELINK-ASSISTED UPDATE AGGREGATION IN FEDERATED LEARNING Dec 2, 2020 Pending
Array ( [id] => 19183057 [patent_doc_number] => 11989649 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-05-21 [patent_title] => Pairwise ranking using neural networks [patent_app_type] => utility [patent_app_number] => 16/951362 [patent_app_country] => US [patent_app_date] => 2020-11-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 7725 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 386 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16951362 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/951362
Pairwise ranking using neural networks Nov 17, 2020 Issued
Array ( [id] => 16849605 [patent_doc_number] => 20210150350 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-20 [patent_title] => AGENT TRAJECTORY PREDICTION USING VECTORIZED INPUTS [patent_app_type] => utility [patent_app_number] => 17/099656 [patent_app_country] => US [patent_app_date] => 2020-11-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8609 [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] => 17099656 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/099656
AGENT TRAJECTORY PREDICTION USING VECTORIZED INPUTS Nov 15, 2020 Pending
Array ( [id] => 17598237 [patent_doc_number] => 20220147811 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-12 [patent_title] => IMPLEMENT THE COMPUTATION OF AN ARTIFICIAL NEURAL NETWORK USING MULTIPLE DEEP LEARNING ACCELERATORS [patent_app_type] => utility [patent_app_number] => 17/092038 [patent_app_country] => US [patent_app_date] => 2020-11-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12438 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 94 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17092038 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/092038
IMPLEMENT THE COMPUTATION OF AN ARTIFICIAL NEURAL NETWORK USING MULTIPLE DEEP LEARNING ACCELERATORS Nov 5, 2020 Pending
Array ( [id] => 16577797 [patent_doc_number] => 20210012198 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-14 [patent_title] => METHOD FOR TRAINING DEEP NEURAL NETWORK AND APPARATUS [patent_app_type] => utility [patent_app_number] => 17/033316 [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] => 16347 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 217 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17033316 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/033316
METHOD FOR TRAINING DEEP NEURAL NETWORK AND APPARATUS Sep 24, 2020 Pending
Array ( [id] => 17484923 [patent_doc_number] => 20220092427 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-24 [patent_title] => INTEGRATED GRAPH NEURAL NETWORK FOR SUPERVISED NON-OBVIOUS RELATIONSHIP DETECTION [patent_app_type] => utility [patent_app_number] => 17/027602 [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] => 10263 [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] => 17027602 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/027602
INTEGRATED GRAPH NEURAL NETWORK FOR SUPERVISED NON-OBVIOUS RELATIONSHIP DETECTION Sep 20, 2020 Pending
Array ( [id] => 16691153 [patent_doc_number] => 20210073631 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-11 [patent_title] => DUAL NEURAL NETWORK ARCHITECTURE FOR DETERMINING EPISTEMIC AND ALEATORIC UNCERTAINTIES [patent_app_type] => utility [patent_app_number] => 16/948183 [patent_app_country] => US [patent_app_date] => 2020-09-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7007 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -26 [patent_words_short_claim] => 73 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16948183 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/948183
Dual neural network architecture for determining epistemic and aleatoric uncertainties Sep 7, 2020 Issued
Array ( [id] => 16751808 [patent_doc_number] => 20210103819 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-08 [patent_title] => ARTIFICIAL NEURAL NETWORK COMPUTING SYSTEMS [patent_app_type] => utility [patent_app_number] => 17/012664 [patent_app_country] => US [patent_app_date] => 2020-09-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6023 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 70 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17012664 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/012664
ARTIFICIAL NEURAL NETWORK COMPUTING SYSTEMS Sep 3, 2020 Pending
Array ( [id] => 16508564 [patent_doc_number] => 20200387820 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-10 [patent_title] => UNIFIED NONLINEAR MODELING APPROACH FOR MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE (ATTRACTOR ASSISTED AI) [patent_app_type] => utility [patent_app_number] => 16/999605 [patent_app_country] => US [patent_app_date] => 2020-08-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13639 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -16 [patent_words_short_claim] => 190 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16999605 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/999605
UNIFIED NONLINEAR MODELING APPROACH FOR MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE (ATTRACTOR ASSISTED AI) Aug 20, 2020 Pending
Array ( [id] => 16676244 [patent_doc_number] => 20210065010 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-04 [patent_title] => COMPRESSING A DEEP NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/998571 [patent_app_country] => US [patent_app_date] => 2020-08-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5445 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -6 [patent_words_short_claim] => 96 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16998571 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/998571
COMPRESSING A DEEP NEURAL NETWORK Aug 19, 2020 Pending
Array ( [id] => 17430767 [patent_doc_number] => 20220058476 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-24 [patent_title] => METHODS AND APPARATUS FOR DYNAMIC SHADER SELECTION FOR MACHINE LEARNING [patent_app_type] => utility [patent_app_number] => 16/997834 [patent_app_country] => US [patent_app_date] => 2020-08-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8978 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [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] => 16997834 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/997834
METHODS AND APPARATUS FOR DYNAMIC SHADER SELECTION FOR MACHINE LEARNING Aug 18, 2020 Pending
Array ( [id] => 17388327 [patent_doc_number] => 20220036179 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-03 [patent_title] => ONLINE TASK INFERENCE FOR COMPOSITIONAL TASKS WITH CONTEXT ADAPTATION [patent_app_type] => utility [patent_app_number] => 16/945753 [patent_app_country] => US [patent_app_date] => 2020-07-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13676 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [patent_words_short_claim] => 114 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16945753 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/945753
ONLINE TASK INFERENCE FOR COMPOSITIONAL TASKS WITH CONTEXT ADAPTATION Jul 30, 2020 Pending
Array ( [id] => 16935308 [patent_doc_number] => 20210201197 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-07-01 [patent_title] => EXPERIENCE ORCHESTRATION [patent_app_type] => utility [patent_app_number] => 16/936161 [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] => 37534 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 250 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16936161 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/936161
EXPERIENCE ORCHESTRATION Jul 21, 2020 Pending
Array ( [id] => 16600612 [patent_doc_number] => 20210027143 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-28 [patent_title] => Method To Decide A Labeling Priority To A Data [patent_app_type] => utility [patent_app_number] => 16/936180 [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] => 11186 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 74 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16936180 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/936180
Method To Decide A Labeling Priority To A Data Jul 21, 2020 Pending
Array ( [id] => 17359071 [patent_doc_number] => 20220019867 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-20 [patent_title] => WEIGHTED DEEP FUSION ARCHITECTURE [patent_app_type] => utility [patent_app_number] => 16/928094 [patent_app_country] => US [patent_app_date] => 2020-07-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10499 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 127 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16928094 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/928094
WEIGHTED DEEP FUSION ARCHITECTURE Jul 13, 2020 Pending
Array ( [id] => 17261597 [patent_doc_number] => 20210374582 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-02 [patent_title] => Enhanced Techniques For Bias Analysis [patent_app_type] => utility [patent_app_number] => 16/914099 [patent_app_country] => US [patent_app_date] => 2020-06-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10780 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 179 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16914099 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/914099
Enhanced Techniques For Bias Analysis Jun 25, 2020 Pending
Array ( [id] => 16543870 [patent_doc_number] => 20200410285 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-31 [patent_title] => Anomaly Augmented Generative Adversarial Network [patent_app_type] => utility [patent_app_number] => 16/912555 [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] => 6842 [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] => 16912555 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/912555
Anomaly Augmented Generative Adversarial Network Jun 24, 2020 Pending
Array ( [id] => 17187758 [patent_doc_number] => 20210334643 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-10-28 [patent_title] => PROCESSING UNIT FOR PERFORMING OPERATIONS OF A NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 16/859062 [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] => 4587 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -5 [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] => 16859062 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/859062
PROCESSING UNIT FOR PERFORMING OPERATIONS OF A NEURAL NETWORK Apr 26, 2020 Pending
Menu