Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2123 2125 2127 2152 4100
This examiner grants 32% of resolved cases
Kurt Nicholas Pressly examines applications in Tech Center 4100 and Art Unit 2123. He has 28 resolved cases with an allowance rate of 32.1 percent. This 32.1 percent rate indicates a challenging environment where fewer than half of the applications reach a grant.
The interview lift is 16.9 percent. This figure suggests that conducting an interview is a productive strategy for increasing the likelihood of a grant. The 16.9 percent lift provides a meaningful boost to the allowance rate, making it a recommended tactic for practitioners to use during prosecution.
The median days to allowance is 1623. This timeline represents the typical duration for applications to reach a final grant. With 28 resolved cases, these metrics offer a clear view of the examiner's performance. The 1623-day median defines the expected prosecution experience for applicants in this docket.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17972302 | MACHINE LEARNING WITH INSTANCE-DEPENDENT LABEL NOISE | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 17436418 | ELECTRONIC DEVICE FOR CONVERTING ARTIFICIAL INTELLIGENCE MODEL AND OPERATING METHOD THEREOF | Non-Final OA | Samsung Electronics Co., Ltd. |
| 18269499 | INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM | Non-Final OA | NEC Corporation |
| 18401738 | TRAINING METHOD AND APPARATUS FOR NEURAL NETWORK MODEL, AND DATA PROCESSING METHOD AND APPARATUS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 16649523 | TRAINING DATA GENERATORS AND METHODS FOR MACHINE LEARNING | Non-Final OA | Intel Corporation |
| 17481958 | CUSTOMIZATION OF SOFTWARE APPLICATIONS WITH NEURAL NETWORK-BASED FEATURES | Final Rejection | SONY GROUP CORPORATION |
| 18633377 | Systems and Methods for Discovering New Gameplay Techniques Using Reinforcement Learning | Non-Final OA | Sony Interactive Entertainment Inc. |
| 18479484 | SYSTEM FOR THE DEPLOYMENT OF FAST AND MEMORY EFFICIENT TSETLIN MACHINES MODELS ON RESOURCE CONSTRAINED DEVICES | Non-Final OA | Nokia Technologies Oy |
| 17388791 | DYNAMIC ACTION IDENTIFICATION FOR COMMUNICATION PLATFORM | Non-Final OA | Salesforce, Inc. |
| 18502488 | DOMAIN GENERALIZATION BY GSNR OF PARAMETERS | Non-Final OA | NEC Laboratories America, Inc. |
| 17342037 | ORCHESTRATION OF MULTI-CORE MACHINE LEARNING PROCESSORS | Non-Final OA | Texas Instruments Incorporated |
| 18882561 | TECHNIQUES FOR OPTIMIZED ROUTING OF INPUTS TO MACHINE LEARNING MODELS | Non-Final OA | NETFLIX, INC. |
| 17448711 | MACHINE LEARNING METHOD AND MACHINE LEARNING DEVICE FOR ELIMINATING SPURIOUS CORRELATION | Final Rejection | HTC Corporation |
| 17167400 | GENERATING ROLES IN SPORTS THROUGH UNSUPERVISED LEARNING | Final Rejection | STATS LLC |
| 18333712 | MACHINE LEARNING-BASED TECHNIQUES FOR OPTIMIZING CONFIGURATION PARAMETERS IN TARGET DETECTION ALGORITHMS OR OTHER ALGORITHMS | Non-Final OA | Raytheon Company |
| 18259563 | METHOD AND APPARATUS FOR GENERATING TRAINING DATA FOR GRAPH NEURAL NETWORK | Final Rejection | TSINGHUA UNIVERSITY |
| 18149441 | MACHINE LEARNING INSIGHTS BASED ON IDENTIFIER DISTRIBUTIONS | Non-Final OA | Optum, Inc. |
| 18321205 | SLA-ORIENTED MODELLING OF UNCERTAINTY IN THE EXTRAPOLATION OF QUANTUM ANNEALING PERFORMANCE METRICS | Non-Final OA | Dell Products L.P. |
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