Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2124 2141
This examiner grants 50% of resolved cases
Victor Adelard Nault is an examiner in Tech Center 2100 and Art Unit 2124. The examiner has 20 resolved cases. The allowance rate is 50.0 percent, which represents the frequency of grants for applications reaching a final resolution.
The interview lift is 62.5 percent. This 62.5 percent figure indicates that interviews correlate with an increased probability of allowance. When considering the 20 resolved cases, the 62.5 percent lift suggests that direct communication is a beneficial tactic for practitioners. The 50.0 percent baseline allowance rate is a key metric for evaluating the prosecution environment.
The median days to allowance is 1456. This 1456-day timeline reflects the duration for successful applications to reach a grant. The 1456-day figure provides a benchmark for expected pendency in Art Unit 2124. Practitioners can use this 1456-day median and the 20 resolved cases to inform their strategy and manage expectations for the timing of a final outcome.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17887021 | ELECTRONIC DEVICE AND METHOD WITH SENSITIVITY-BASED QUANTIZED TRAINING AND OPERATION | Non-Final OA | Samsung Electronics Co., Ltd. |
| 17704551 | Neural Architecture Search Method, Image Processing Method And Apparatus, And Storage Medium | Final Rejection | HUAWEI TECHNOLOGIES CO., LTD. |
| 17831750 | DEVICE AND METHOD FOR CLASSIFYING A SIGNAL AND/OR FOR PERFORMING REGRESSION ANALYSIS ON A SIGNAL | Final Rejection | Robert Bosch GmbH |
| 17378581 | METHODS AND APPARATUS FOR OPTIMIZING HYPERPARAMETER SEARCH FUNCTIONALITY | Final Rejection | Walmart Apollo, LLC |
| 18622097 | PERSONALIZED DATA ASSISTANT | Non-Final OA | Amazon Technologies, Inc. |
| 18176342 | Inference Performance Using Divide-and-Conquer Techniques | Final Rejection | Oracle International Corporation |
| 18612138 | AUTOMATED OPTIMIZATION OF EXTRACTION-BASED CATEGORIZATION PROCESSES | Non-Final OA | INTUIT INC. |
| 17794134 | CONTROLLING MACHINE LEARNING MODEL STRUCTURES | Non-Final OA | Hewlett-Packard Development Company, L.P. |
| 18194478 | GENERATING ML PIPELINES USING EXPLORATORY AND GENERATIVE CODE GENERATION TOOLS | Final Rejection | Fujitsu Limited |
| 18735911 | GENERATIVE ARTIFICIAL-INTELLIGENCE-BASED INTEGRATION SCENARIO GENERATION | Non-Final OA | SAP SE |
| 17549637 | DERIVING DATA FROM DATA OBJECTS BASED ON MACHINE LEARNING | Non-Final OA | SAP SE |
| 18513930 | METHODS AND MECHANISMS TO PERFORM AUTOMATED CLASSIFICATIONS OF ANOMALOUS TRACE SHAPES | Non-Final OA | Applied Materials, Inc. |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy