Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2141 2145
This examiner grants 29% of resolved cases
Louis Christopher Nye examines cases in Art Unit 2141 and Tech Center 2100. He has 14 resolved cases with an allowance rate of 28.6 percent. The median days to allowance is 1542, which indicates a long duration for successful prosecution. Practitioners should prepare for a timeline that spans many days in Tech Center 2100.
The interview lift is 30.0 percent, which significantly increases the chances of allowance compared to the 28.6 percent baseline. For the 14 cases resolved, the 1542-day median pendency is a key factor to consider. Practitioners should prioritize interviews to leverage the 30.0 percent lift and improve their chances in Art Unit 2141. The 28.6 percent allowance rate suggests a challenging environment, but proactive communication during the 1542-day process may be beneficial for applicants.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17576914 | CREATING AN ACCURATE LATENCY LOOKUP TABLE FOR NPU | Final Rejection | Samsung Electronics Co., Ltd. |
| 18760432 | METHOD OF CUSTOMER SENTIMENT ANALYSIS USING LOGS AND FEEDBACK | Non-Final OA | Schlumberger Technology Corporation |
| 18071881 | SYSTEM AND METHOD FOR RISK-BIASED TRAJECTORY FORECASTING | Non-Final OA | TOYOTA RESEARCH INSTITUTE, INC. |
| 18023225 | LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM | Final Rejection | NEC Corporation |
| 18171845 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING COMPUTER PROGRAM PRODUCT | Final Rejection | KABUSHIKI KAISHA TOSHIBA |
| 18667699 | SYSTEM, APPARATUS AND METHODS OF PRIVACY PROTECTION | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18193815 | LARGE MODEL EMULATION BY KNOWLEDGE DISTILLATION BASED NAS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 17984421 | METHOD AND APPARATUS FOR PREDICTING NODE STATE | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 17953063 | NEURAL NETWORK MODEL PROCESSING METHOD AND RELATED DEVICE | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18424624 | Instruction Fine-Tuning Machine-Learned Models Using Intermediate Reasoning Steps | Non-Final OA | Google LLC |
| 18763667 | INFERENCE APPARATUS AND CONTROL METHOD | Non-Final OA | CANON KABUSHIKI KAISHA |
| 18344419 | UN-LEARNING OF TRAINING DATA FOR MACHINE LEARNING MODELS | Final Rejection | Amazon Technologies, Inc. |
| 18746832 | METHOD, APPARATUS, ELECTRONIC DEVICE AND MEDIUM FOR DETERMINING FAIRNESS IMPACT OF MODEL | Non-Final OA | Lemon Inc. |
| 17965284 | ONLINE AUTOMATIC HYPERPARAMETER TUNING | Non-Final OA | Roku, Inc. |
| 18101620 | ADAPTIVELY CONFIGURING RESOURCES IN FEDERATED LEARNING SYSTEMS | Final Rejection | Cisco Technology, Inc. |
| 17750052 | METHOD FOR DATA PROCESSING IN NEURAL NETWORK SYSTEM AND NEURAL NETWORK SYSTEM | Final Rejection | TSINGHUA UNIVERSITY |
| 18758560 | ACTIVATION ACCELERATOR FOR NEURAL NETWORK ACCELERATOR | Non-Final OA | Imagination Technologies Limited |
| 18622046 | MANAGING INFERENCE MODELS IN VIEW OF ANOMALY CONDITIONS USING UNSUPERVISED METHODS | Non-Final OA | Dell Products L.P. |
| 17834294 | AUTOMATICALLY MANAGING EVENT-RELATED COMMUNICATION DATA USING MACHINE LEARNING TECHNIQUES | Non-Final OA | Dell Products L.P. |
| 17891981 | SELF-SUPERVISED FRAMEWORK FOR GRAPH REPRESENTATION LEARNING | Non-Final OA | Feedzai - Consultadoria e Inovação Tecnológica, S.A |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy