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Long Pham

Examiner (ID: 12223, Phone: (571)272-1714 , Office: P/2814 )

Most Active Art Unit
2814
Art Unit(s)
1763, 2822, 2897, 2814, 2823, 1107, 2812, 2899
Total Applications
3569
Issued Applications
3092
Pending Applications
145
Abandoned Applications
332

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
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