Tech Center 4100 • Art Units: 2123 2125 2127 2812 4100
This examiner grants 62% of resolved cases
Ryan C. Vaughn works in Art Unit 2123 of Tech Center 4100, with 257 resolved cases. The allowance rate is 61.5%, and the median days to allowance is 1399. This indicates a moderate success rate and a somewhat long timeline for the 257 resolved cases. Applicants can expect a fair examination process, though it may take a significant amount of time to reach a final resolution.
The interview lift of 18.2% suggests that interviews are a helpful tool for improving the 61.5% baseline. This 18.2% lift indicates that the examiner is responsive to verbal advocacy and technical discussions. For the 257 resolved cases, the data supports the use of interviews to secure an allowance and resolve technical disagreements. The 1399-day median pendency should be considered when planning the prosecution strategy, and practitioners may find that direct engagement helps in navigating the longer timeline. A strategy that incorporates interviews early in the process may be the most effective way to improve the probability of success and potentially shorten the prosecution cycle in Art Unit 2123.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17523977 | METHOD AND APPARATUS WITH ELECTRONIC MEMORY COPYING OF A NATURAL NEURAL NETWORK | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 18563594 | METHOD AND DEVICE FOR TESTING DEEP LEARNING MODEL AND COMPUTER STORAGE MEDIUM | Final Rejection | BOE TECHNOLOGY GROUP CO., LTD. |
| 18458220 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM | Non-Final OA | KABUSHIKI KAISHA TOSHIBA |
| 18153655 | Method and Device Used for Providing and Evaulating a Sensor Model for Change Point Detection | Final Rejection | Robert Bosch GmbH |
| 17893050 | DEVICE AND METHOD FOR TRAINING A NEURAL NETWORK FOR IMAGE ANALYSIS | Non-Final OA | Robert Bosch GmbH |
| 18498738 | DATA GENERATION FOR ARTIFICIAL INTELLIGENCE MODEL TRAINING | Non-Final OA | Capital One Services, LLC |
| 17198624 | IDENTIFYING TRENDS USING EMBEDDING DRIFT OVER TIME | Non-Final OA | Capital One Services, LLC |
| 18221454 | NEURAL NETWORK TRAINING IN A DISTRIBUTED SYSTEM | Non-Final OA | Amazon Technologies, Inc. |
| 18227758 | APPROXIMATE CONFUSION MATRIX FOR MULTI-LABEL CLASSIFICATION | Non-Final OA | Oracle International Corporation |
| 18269734 | TRAINING OF A MACHINE LEARNING MODEL | Final Rejection | Telefonaktiebolaget LM Ericsson (publ) |
| 18035333 | MANAGING TRAINING OF A MACHINE LEARNING MODEL | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 18311884 | SYSTEM AND METHOD FOR ASPHALTENE ANOMALY PREDICTION | Non-Final OA | Chevron U.S.A. Inc. |
| 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 |
| 18526214 | METHOD OF ASSESSING INPUT-OUTPUT DATASETS USING NEIGHBORHOOD CRITERIA IN THE INPUT SPACE AND THE OUTPUT SPACE | Final Rejection | Siemens Mobility GmbH |
| 18151548 | METHOD AND SYSTEM TO ESTIMATE PERFORMANCE OF SESSION BASED RECOMMENDATION MODEL LAYERS ON FPGA | Non-Final OA | Tata Consultancy Services Limited |
| 18677751 | SYSTEM AND METHOD OF PROTECTION AGAINST EMBEDDING INVERSION ATTACK IN RETRIEVAL AUGMENTED GENERATION | Non-Final OA | Rubrik, Inc. |
| 18271686 | DEVICE, METHOD, AND SYSTEM FOR WEIGHTED KNOWLEDGE TRANSFER | Final Rejection | HITACHI, LTD. |
| 18648325 | SERVER APPARATUS FOR DRIVING ASSISTANCE AND METHOD OF CONTROLLING THE SAME | Non-Final OA | HL KLEMOVE CORP. |
| 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 |
| 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 |
| 17783978 | CONSTRUCTING AND OPERATING AN ARTIFICIAL RECURRENT NEURAL NETWORK | Final Rejection | INAIT SA |
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