Search

Tan V. Mai

Examiner (ID: 9332, Phone: (571)272-3726 , Office: P/2182 )

Most Active Art Unit
2193
Art Unit(s)
2121, 2301, 2124, 2182, 2183, 2786, 2306, 2787, 2193, 2302
Total Applications
3863
Issued Applications
3434
Pending Applications
94
Abandoned Applications
349

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 17492129 [patent_doc_number] => 11281432 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-03-22 [patent_title] => Method and apparatus for true random number generator based on nuclear radiation [patent_app_type] => utility [patent_app_number] => 17/513661 [patent_app_country] => US [patent_app_date] => 2021-10-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 11 [patent_no_of_words] => 5174 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 107 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17513661 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/513661
Method and apparatus for true random number generator based on nuclear radiation Oct 27, 2021 Issued
Array ( [id] => 17416183 [patent_doc_number] => 20220051087 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-17 [patent_title] => Neural Network Architecture Using Convolution Engine Filter Weight Buffers [patent_app_type] => utility [patent_app_number] => 17/511363 [patent_app_country] => US [patent_app_date] => 2021-10-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17773 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 77 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17511363 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/511363
Neural network architecture using convolution engine filter weight buffers Oct 25, 2021 Issued
Array ( [id] => 17521933 [patent_doc_number] => 20220107782 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-04-07 [patent_title] => FLOATING POINT MULTIPLY HARDWARE USING DECOMPOSED COMPONENT NUMBERS [patent_app_type] => utility [patent_app_number] => 17/506506 [patent_app_country] => US [patent_app_date] => 2021-10-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8290 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 243 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17506506 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/506506
FLOATING POINT MULTIPLY HARDWARE USING DECOMPOSED COMPONENT NUMBERS Oct 19, 2021 Abandoned
Array ( [id] => 17558136 [patent_doc_number] => 11314844 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-04-26 [patent_title] => Incremental singular value decomposition in support of machine learning [patent_app_type] => utility [patent_app_number] => 17/504634 [patent_app_country] => US [patent_app_date] => 2021-10-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 18 [patent_no_of_words] => 15194 [patent_no_of_claims] => 30 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 300 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17504634 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/504634
Incremental singular value decomposition in support of machine learning Oct 18, 2021 Issued
Array ( [id] => 19905742 [patent_doc_number] => 12282750 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-04-22 [patent_title] => Processing-in-memory devices having multiple operation circuits [patent_app_type] => utility [patent_app_number] => 17/498222 [patent_app_country] => US [patent_app_date] => 2021-10-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 22 [patent_figures_cnt] => 22 [patent_no_of_words] => 18418 [patent_no_of_claims] => 11 [patent_no_of_ind_claims] => 2 [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] => 17498222 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/498222
Processing-in-memory devices having multiple operation circuits Oct 10, 2021 Issued
Array ( [id] => 18527614 [patent_doc_number] => 11714605 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-08-01 [patent_title] => Acceleration circuitry [patent_app_type] => utility [patent_app_number] => 17/493659 [patent_app_country] => US [patent_app_date] => 2021-10-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 7 [patent_no_of_words] => 10890 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 83 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17493659 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/493659
Acceleration circuitry Oct 3, 2021 Issued
Array ( [id] => 17401797 [patent_doc_number] => 20220043887 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-10 [patent_title] => METHOD, SYSTEM, AND COMPUTER PROGRAM PRODUCT FOR DETERMINING CAUSALITY [patent_app_type] => utility [patent_app_number] => 17/489279 [patent_app_country] => US [patent_app_date] => 2021-09-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13058 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [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] => 17489279 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/489279
Method, system, and computer program product for determining causality Sep 28, 2021 Issued
Array ( [id] => 17476385 [patent_doc_number] => 20220083889 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-17 [patent_title] => PARALLEL MULTI-QUBIT OPERATIONS ON A UNIVERSAL ION TRAP QUANTUM COMPUTER [patent_app_type] => utility [patent_app_number] => 17/448652 [patent_app_country] => US [patent_app_date] => 2021-09-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9151 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 209 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17448652 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/448652
Parallel multi-qubit operations on a universal ion trap quantum computer Sep 22, 2021 Issued
Array ( [id] => 17338055 [patent_doc_number] => 20220004386 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-06 [patent_title] => COMPUTE ARRAY OF A PROCESSOR WITH MIXED-PRECISION NUMERICAL LINEAR ALGEBRA SUPPORT [patent_app_type] => utility [patent_app_number] => 17/480279 [patent_app_country] => US [patent_app_date] => 2021-09-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8317 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 17480279 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/480279
Compute array of a processor with mixed-precision numerical linear algebra support Sep 20, 2021 Issued
Array ( [id] => 18562010 [patent_doc_number] => 11727256 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-08-15 [patent_title] => Hardware architecture for processing data in neural network [patent_app_type] => utility [patent_app_number] => 17/459782 [patent_app_country] => US [patent_app_date] => 2021-08-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 17 [patent_figures_cnt] => 17 [patent_no_of_words] => 10659 [patent_no_of_claims] => 20 [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] => 17459782 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/459782
Hardware architecture for processing data in neural network Aug 26, 2021 Issued
Array ( [id] => 17408843 [patent_doc_number] => 11249725 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2022-02-15 [patent_title] => Method and apparatus for highly effective on-chip true random number generator utilizing beta decay [patent_app_type] => utility [patent_app_number] => 17/409971 [patent_app_country] => US [patent_app_date] => 2021-08-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 11 [patent_no_of_words] => 6023 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 137 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17409971 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/409971
Method and apparatus for highly effective on-chip true random number generator utilizing beta decay Aug 23, 2021 Issued
Array ( [id] => 18638524 [patent_doc_number] => 11763131 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2023-09-19 [patent_title] => Systems and methods for reducing power consumption of convolution operations for artificial neural networks [patent_app_type] => utility [patent_app_number] => 17/396555 [patent_app_country] => US [patent_app_date] => 2021-08-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 27 [patent_figures_cnt] => 27 [patent_no_of_words] => 22325 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 129 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17396555 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/396555
Systems and methods for reducing power consumption of convolution operations for artificial neural networks Aug 5, 2021 Issued
Array ( [id] => 17430285 [patent_doc_number] => 20220057994 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-24 [patent_title] => Configurable MAC Pipelines for Finite-Impulse-Response Filtering, and Methods of Operating Same [patent_app_type] => utility [patent_app_number] => 17/391082 [patent_app_country] => US [patent_app_date] => 2021-08-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 30749 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 151 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17391082 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/391082
Configurable MAC pipelines for finite-impulse-response filtering, and methods of operating same Aug 1, 2021 Issued
Array ( [id] => 19426786 [patent_doc_number] => 12086206 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-09-10 [patent_title] => Matrix multiplier and operation method thereof [patent_app_type] => utility [patent_app_number] => 17/391045 [patent_app_country] => US [patent_app_date] => 2021-08-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 8 [patent_no_of_words] => 6641 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 155 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17391045 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/391045
Matrix multiplier and operation method thereof Aug 1, 2021 Issued
Array ( [id] => 17202025 [patent_doc_number] => 20210342120 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-04 [patent_title] => TRANSCENDENTAL FUNCTION EVALUATION [patent_app_type] => utility [patent_app_number] => 17/378916 [patent_app_country] => US [patent_app_date] => 2021-07-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8669 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 91 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17378916 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/378916
Transcendental function evaluation Jul 18, 2021 Issued
Array ( [id] => 17401795 [patent_doc_number] => 20220043885 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-10 [patent_title] => METHOD AND APPARATUS FOR CONVOLUTIONAL COMPUTATION BASED ON FLOATING GATE NVM ARRAY [patent_app_type] => utility [patent_app_number] => 17/373935 [patent_app_country] => US [patent_app_date] => 2021-07-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7458 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 100 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17373935 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/373935
Method and apparatus for convolutional computation based on floating gate NVM array Jul 12, 2021 Issued
Array ( [id] => 19538331 [patent_doc_number] => 12130884 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-10-29 [patent_title] => Dataflow accelerator architecture for general matrix-matrix multiplication and tensor computation in deep learning [patent_app_type] => utility [patent_app_number] => 17/374988 [patent_app_country] => US [patent_app_date] => 2021-07-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 19 [patent_figures_cnt] => 27 [patent_no_of_words] => 11580 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 91 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17374988 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/374988
Dataflow accelerator architecture for general matrix-matrix multiplication and tensor computation in deep learning Jul 12, 2021 Issued
Array ( [id] => 19538331 [patent_doc_number] => 12130884 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-10-29 [patent_title] => Dataflow accelerator architecture for general matrix-matrix multiplication and tensor computation in deep learning [patent_app_type] => utility [patent_app_number] => 17/374988 [patent_app_country] => US [patent_app_date] => 2021-07-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 19 [patent_figures_cnt] => 27 [patent_no_of_words] => 11580 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 91 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17374988 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/374988
Dataflow accelerator architecture for general matrix-matrix multiplication and tensor computation in deep learning Jul 12, 2021 Issued
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17/374988
Dataflow accelerator architecture for general matrix-matrix multiplication and tensor computation in deep learning Jul 12, 2021 Issued
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17/374988
Dataflow accelerator architecture for general matrix-matrix multiplication and tensor computation in deep learning Jul 12, 2021 Issued
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