Tech Center 2100 • Art Units: 2123 2141 2144 2172 2176 2178 2179 2188
This examiner grants 31% of resolved cases
William Wong presents a more rigorous prosecution profile in Art Unit 2123. With 407 resolved cases, his allowance rate is 30.7 percent. This lower rate, combined with a median days to allowance of 1630, suggests that applicants face a difficult and lengthy path to securing a patent in Tech Center 2100. The 1630-day figure is particularly notable for its duration, requiring significant persistence from the applicant.
Despite these challenges, the interview lift is 27.8 percent. This is a significant figure, indicating that interviews are a vital tool for success with this examiner. Given the 30.7 percent baseline, an interview may be the most effective way to improve the odds of a grant. Practitioners should prioritize direct communication to navigate the prosecution timeline and leverage the 27.8 percent boost in allowance probability.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17735352 | DISTRIBUTED LEARNING SERVER AND DISTRIBUTED LEARNING METHOD | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 18206395 | MODEL DISTILLATION FOR REDUCING ITERATIONS OF NON-AUTOREGRESSIVE DECODERS | Non-Final OA | THE TORONTO-DOMINION BANK |
| 18324119 | SYSTEM AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM | Final Rejection | FUJIFILM Business Innovation Corp. |
| 18250608 | Index Display Method and Wearable Device | Final Rejection | Huawei Technologies Co., Ltd. |
| 17723216 | COMPRESSION AS A SOLUTION FOR CONGESTION CONTROL ON AI WORKLOADS | Final Rejection | Intel Corporation |
| 17613018 | MONITORING OF AN AI MODULE OF A VEHICLE DRIVING FUNCTION | Final Rejection | Volkswagen Aktiengesellschaft |
| 18001786 | METHODS AND DEVICES FOR AVOIDING MISINFORMATION IN MACHINE LEARNING | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 17766798 | METHOD FOR DYNAMIC LEADER SELECTION FOR DISTRIBUTED MACHINE LEARNING | Final Rejection | Telefonaktiebolaget LM Ericsson (publ) |
| 18316072 | Methods and Devices for Analyzing a Reinforcement Learning Agent Based on an Artificial Neural Network | Final Rejection | Aptiv Technologies AG |
| 17709976 | Analog Multiply-and-Accumulate Circuit Aware Training | Final Rejection | Microsoft Technology Licensing, LLC |
| 17556642 | DISCOVERING DISTRIBUTION SHIFTS IN EMBEDDINGS | Final Rejection | Microsoft Technology Licensing, LLC |
| 18068036 | DEVICE AND METHOD FOR SELECTING OPTIMAL WATER TREATMENT MODEL FOR CHEMICAL DOSING OPTIMIZATION | Non-Final OA | DOOSAN ENERBILITY CO., LTD. |
| 18252660 | EXPLAINABLE MACHINE-LEARNING MODELING USING WAVELET PREDICTOR VARIABLE DATA | Final Rejection | EQUIFAX INC. |
| 17228497 | DIGITAL IMAGING SYSTEM AND METHOD | Final Rejection | HOLOGIC, INC. |
| 18123531 | METHOD AND DEVICE FOR ESTABLISHING WEAK PATTERN SEVERITY MODEL | Non-Final OA | UNITED MICROELECTRONICS CORP. |
| 16576449 | Using Routing Rules to Generate Custom Models For Deployment as a Set | Non-Final OA | Aible Inc. |
| 17169783 | Systems and Methods for Object Management | Non-Final OA | YISIA Games Ltd |
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