Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2124 2145 4100
This examiner grants 68% of resolved cases
Chase Paul Hinckley is an examiner in Tech Center 4100 and Art Unit 2124, with 210 resolved cases. His allowance rate is 68.1%, which is a positive sign for applicants. However, the median days to allowance is 1418, indicating that the process can be quite lengthy. Practitioners should be prepared for a long timeline even if the eventual outcome is likely to be an allowance.
The interview lift pct of 11.6% suggests that while interviews are helpful, they provide a more modest benefit compared to some other examiners. With a 68.1% allowance rate, many applications are successful through written prosecution alone. Given the 1418 median days to allowance, an interview might be best used as a way to try and shorten the prosecution cycle. The 210 resolved cases provide a solid foundation for these metrics, reflecting his established patterns in Tech Center 4100.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18140435 | DIGITAL SIGNAL PROCESSING DEVICE AND METHOD OF CALCULATING SOFTMAX PERFORMED BY THE SAME | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 18352784 | METHODOLOGY TO GENERATE EFFICIENT MODELS AND ARCHITECTURES FOR DEEP LEARNING | Final Rejection | Groq, Inc. |
| 18387591 | ARTIFICIAL INTELLIGENCE-BASED SUSTAINABLE MATERIAL DESIGN | Non-Final OA | Fujitsu Limited |
| 18404113 | INTEGRATION OF LEARNED DIFFERENTIABLE LOSS FUNCTIONS IN DEEP LEARNING MODELS | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18413393 | CARBON DIOXIDE-BASED MODEL RETRAINING SCORECARD | Non-Final OA | International Business Machines Corporation |
| 18339539 | ROBOTIC PROCESS AUTOMATION (RPA) ACCELERATION OF TASKS WITH MACHINE LEARNING GENERATION OF NETWORK REQUESTS | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18503618 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM | Non-Final OA | Rakuten Group, Inc. |
| 18235273 | TRAINING NEURAL NETWORKS INDEPENDENTLY | Final Rejection | NVIDIA Corporation |
| 18404159 | TECHNIQUES FOR TRAINING AND ANALYZING A MACHINE LEARNING MODEL | Non-Final OA | Stats LLC |
| 18405609 | REFLEXIVE MODEL GRADIENT-BASED RULE LEARNING | Non-Final OA | Raytheon Company |
| 18695316 | DATA PROCESSING APPARATUS AND DATA PROCESSING METHOD | Non-Final OA | TSINGHUA UNIVERSITY |
| 17708214 | SYSTEM AND METHOD OF SEMI-SUPERVISED LEARNING WITH FEW LABELED IMAGES PER CLASS | Non-Final OA | Naver Corporation |
| 18105396 | METHOD AND DEVICE WITH CHECKPOINTING | Final Rejection | Seoul National University R&DB Foundation |
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