Listed by the USPTO as VAUGHN, RYAN C
Tech Center 4100 • Art Units: 2123 2125 2127 2812 2853 4100
This examiner grants 62% of resolved cases
VAUGHN, RYAN C has resolved 260 cases in technology center 4100 and art unit 2123. The allowance rate is 61.9%, and the median time to allowance is 1394 days. Interviews are associated with a 17.2% lift in the allowance rate. The record shows an allowance rate above half of resolved cases and a measurable interview association.
International Business Machines Corporation, NVIDIA Corporation, and Capital One Services LLC are the listed leading companies. Harrity & Harrity, LLP, DINSMORE & SHOHL LLP, and FINNEGAN, HENDERSON, FARABOW, GARRETT & DUNNER are the listed leading firms. Practitioners can use these participants to identify recurring docket activity and evaluate interviews within a broader response plan.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18269734 | TRAINING OF A MACHINE LEARNING MODEL | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 18035333 | MANAGING TRAINING OF A MACHINE LEARNING MODEL | Final Rejection | Telefonaktiebolaget LM Ericsson (publ) |
| 18498738 | DATA GENERATION FOR ARTIFICIAL INTELLIGENCE MODEL TRAINING | Non-Final OA | Capital One Services, LLC |
| 17198624 | IDENTIFYING TRENDS USING EMBEDDING DRIFT OVER TIME | Final Rejection | Capital One Services, LLC |
| 18227758 | APPROXIMATE CONFUSION MATRIX FOR MULTI-LABEL CLASSIFICATION | Non-Final OA | Oracle International Corporation |
| 17893050 | DEVICE AND METHOD FOR TRAINING A NEURAL NETWORK FOR IMAGE ANALYSIS | Non-Final OA | Robert Bosch GmbH |
| 18563594 | METHOD AND DEVICE FOR TESTING DEEP LEARNING MODEL AND COMPUTER STORAGE MEDIUM | Final Rejection | BOE TECHNOLOGY GROUP CO., LTD. |
| 18221454 | NEURAL NETWORK TRAINING IN A DISTRIBUTED SYSTEM | Non-Final OA | Amazon Technologies, Inc. |
| 18381360 | Temporal Convolution-Readout for Random Recurrent Neural Networks | Non-Final OA | The Government of the United States of America, as represented by the Secretary of the Navy |
| 18526214 | METHOD OF ASSESSING INPUT-OUTPUT DATASETS USING NEIGHBORHOOD CRITERIA IN THE INPUT SPACE AND THE OUTPUT SPACE | Final Rejection | Siemens Mobility GmbH |
| 18527304 | FAULT-TOLERANT QUANTUM COMPUTING ARCHITECTURE | Non-Final OA | International Business Machines Corporation |
| 18477873 | ERROR MITIGATED NETWORKS OF FEED-FORWARD OPERATIONS | Non-Final OA | International Business Machines Corporation |
| 18178240 | NOISE LEARNING IN DYNAMIC QUANTUM CIRCUITS | Final Rejection | International Business Machines Corporation |
| 17962330 | TRAINING A BIDIRECTIONAL ENCODER REPRESENTATIONS FROM TRANSFORMERS (BERT) MODEL TO GENERATE A SOFTWARE REPRESENTATION FROM AN INTERMEDIATE REPRESENTATION OF A SOFTWARE PACKAGE | Non-Final OA | International Business Machines Corporation |
| 17452517 | ADAPTIVE DRIFT DFETECTION AND PERFORMANCE MANAGEMENT FOR NON-STATIONARY DATA PROCESSING SYSTEMS | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18098061 | TECHNIQUES FOR PRUNING NEURAL NETWORKS | Non-Final OA | NVIDIA Corporation |
| 16913160 | INTERACTION DETERMINATION USING ONE OR MORE NEURAL NETWORKS | Final Rejection | Nvidia Corporation |
| 16428760 | TRAINING A NEURAL NETWORK USING SELECTIVE WEIGHT UPDATES | Final Rejection | NVIDIA Corporation |
| 18151548 | METHOD AND SYSTEM TO ESTIMATE PERFORMANCE OF SESSION BASED RECOMMENDATION MODEL LAYERS ON FPGA | Non-Final OA | Tata Consultancy Services Limited |
| 18271686 | DEVICE, METHOD, AND SYSTEM FOR WEIGHTED KNOWLEDGE TRANSFER | Final Rejection | HITACHI, LTD. |
| 18407930 | METHOD, APPARATUS AND COMPUTER PROGRAM FOR CLASSIFYING RADAR DATA FROM A SCENE, METHOD, APPARATUS AND COMPUTER PROGRAM FOR TRAINING ONE OR MORE NEURAL NETWORKS TO CLASSIFY RADAR DATA | Non-Final OA | Infineon Technologies AG |
| 18510234 | METHODS FOR 3D TENSOR BUILDER FOR INPUT TO MACHINE LEARNING | Final Rejection | Tektronix, Inc. |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy61.9% of resolved applications examined by Ryan C Vaughn were allowed (260 resolved cases), compared with 38.8% across Art Unit 2123 over the last five years.
This examiner's interview lift is +17.2 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Ryan C Vaughn took 1,394 days on average from filing to allowance.
Ryan C Vaughn examines applications in Art Unit 2123 in Tech Center 4100.
