Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2143
This examiner grants 54% of resolved cases
Megan Elizabeth Hwang operates in Tech Center 2100 and Art Unit 2143. The examiner has 33 resolved cases, which result in an allowance rate of 54.5 percent. This rate provides a starting point for evaluating the chances of success in this art unit. The median days to allowance is 1467, which highlights the typical timeline for applications that are eventually granted.
The interview lift is 57.5 percent, a figure that suggests a strong correlation between interviews and successful outcomes. This 57.5 percent lift indicates that applications with an interview have a higher probability of allowance compared to the 54.5 percent overall rate. Given the 1467-day median pendency, practitioners should prioritize interviews as a key tactical move. With 33 resolved cases, the data suggests that direct communication is an essential strategy for navigating the 54.5 percent allowance rate in Tech Center 2100.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18579089 | Systems and Methods for Federated Learning of Machine-Learned Models with Sampled Softmax | Non-Final OA | Google LLC |
| 18089513 | SOURCE-FREE ACTIVE ADAPTATION TO DISTRIBUTIONAL SHIFTS FOR MACHINE LEARNING | Final Rejection | Intel Corporation |
| 18122645 | MULTI-RATE COMPUTER VISION TASK NEURAL NETWORKS IN COMPRESSION DOMAIN | Non-Final OA | Tencent America LLC |
| 18042423 | MACRO PLACEMENT USING AN ARTIFICIAL INTELLIGENCE APPROACH | Non-Final OA | MediaTek Inc. |
| 17556518 | INFERRING GRAPHS FROM IMAGES AND TEXT | Final Rejection | Microsoft Technology Licensing, LLC |
| 17853670 | Communication of Data for a Model Between Nodes in an Electronic Device | Non-Final OA | Advanced Micro Devices, Inc. |
| 18116129 | REINFORCED LEARNING APPROACH TO GENERATE TRAINING DATA | Non-Final OA | ADOBE INC. |
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