Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2121 2128 2147 2152 2165 4100
This examiner grants 23% of resolved cases
Leah M. Feitl examines applications in Tech Center 4100 and Art Unit 2121. With 93 resolved cases, the examiner has an allowance rate of 22.6 percent. This rate indicates a difficult prosecution environment where many applications are rejected. The median days to allowance is 1561, showing that successful outcomes require a significant time investment. While the interview lift is 5.8 percent, it provides only a small increase in the chances of allowance over the baseline.
Applicants should prepare for a prolonged examination process when assigned to Art Unit 2121. The 22.6 percent allowance rate suggests that practitioners must be diligent in their technical arguments. The 5.8 percent interview lift indicates that while interviews are helpful, they are not a guaranteed solution for overcoming rejections. With 93 cases resolved, these metrics reflect a consistent pattern of rigorous examination. The 1561 days to allowance is a critical factor for applicants to consider in their strategy. Tech Center 4100 practitioners should manage expectations accordingly given these data points.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18187030 | METHOD AND DEVICE WITH INFERENCE-BASED DIFFERENTIAL CONSIDERATION | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 18479875 | Partial Quantization To Achieve Full Quantized Model On Edge Device | Non-Final OA | NXP USA, Inc. |
| 17376722 | Deep Learning Model Training Method and System | Non-Final OA | Huawei Cloud Computing Technologies Co., Ltd. |
| 18183429 | Markup Language for Generative Model Prompting | Final Rejection | Google LLC |
| 16998545 | SYSTEMS AND METHODS FOR CLASSIFYING DATA USING HIERARCHICAL CLASSIFICATION MODEL | Non-Final OA | CAPITAL ONE SERVICES, LLC |
| 18545494 | LEARNING APPARATUS, LEARNING METHOD, AND PROGRAM | Non-Final OA | NEC Corporation |
| 18643371 | METHOD AND SYSTEM FOR OUT-OF-DISTRIBUTION INPUT DETECTION IN NEURAL NETWORKS | Non-Final OA | JPMorgan Chase Bank, N.A. |
| 17974040 | DATA AMOUNT SUFFICIENCY DETERMINATION DEVICE, DATA AMOUNT SUFFICIENCY DETERMINATION METHOD, LEARNING MODEL GENERATION SYSTEM, TRAINED MODEL GENERATION METHOD, AND MEDIUM | Final Rejection | Mitsubishi Electric Corporation |
| 17341513 | Machine learning to determine domain reputation, content classification, phishing sites, and command and control sites | Non-Final OA | Zscaler, Inc. |
| 17920991 | Predicting a Behavior of a Road User | Non-Final OA | Bayerische Motoren Werke Aktiengesellschaft |
| 18087470 | EXPLANATION OF EMERGENT SEMANTICS IN EMBEDDING SPACES VIA ANALOGY | Final Rejection | Microsoft Technology Licensing, LLC |
| 18048410 | ENTITY SELECTION AND RANKING USING DISTRIBUTION SAMPLING | Final Rejection | Microsoft Technology Licensing, LLC |
| 17471564 | METHOD AND SYSTEM FOR GENERATING LABELED DATASET USING A TRAINING DATA RECOMMENDER TECHNIQUE | Final Rejection | Tata Consultancy Services Limited |
| 17156158 | APPARATUS FOR OPERATING A NEURAL NETWORK, CORRESPONDING METHOD AND COMPUTER PROGRAM PRODUCT | Non-Final OA | STMicroelectronics S.r.l. |
| 18131434 | SYSTEMS, METHODS, AND APPARATUSES FOR GENERATING A DIGITAL TWIN OF A RESOURCE USING PARTIAL SENSOR DATA AND ARTIFICIAL INTELLIGENCE | Final Rejection | BANK OF AMERICA CORPORATION |
| 18669715 | METHOD AND SYSTEM FOR AUTOMATICALLY OPTIMIZING A VARIETY OF NEURAL NETWORK DESIGN PRINCIPLES IN PRODUCTION ENVIRONMENTS | Non-Final OA | SAMSUNG ELETRÔNICA DA AMAZÔNIA LTDA. |
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