Prosecution Insights
Prosecution Insights
Tech Center 2400 • Art Units: 2121 2141 2433
This examiner grants 33% of resolved cases
Byungkwon Han serves as an examiner in Art Unit 2121 within Tech Center 2400. The examiner has 5 resolved cases and an allowance rate of 40.0 percent. This small sample size provides an early indication of the prosecution environment for applications in this computer architecture or software technology area. The 40.0 percent allowance rate suggests a challenging path to grant for initial filings.
The median days to allowance for these cases is 1367. This duration indicates that successful applications may face a lengthy prosecution process before reaching a final grant. Practitioners should account for this 1367-day timeline when advising clients on patent strategy and potential delays in the 2400 Tech Center. The figure serves as a baseline for pendency expectations in this specific art unit.
The data highlights an interview lift of 53.3 percent. This is a substantial figure, suggesting that interviews are a highly effective mechanism for advancing prosecution and securing an allowance. Even with only 5 resolved cases, the 53.3 percent lift points toward a strong correlation between direct examiner engagement and positive outcomes. Applicants may find that a formal discussion is the most efficient way to overcome rejections and improve the 40.0 percent baseline allowance rate.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17824558 | METHOD AND APPARATUS FOR COMMUNICATION EFFICIENT FEDERATED LEARNING WITH GLOBAL MODEL COMPRESSION | Final Rejection | Samsung Electronics Co., Ltd. |
| 18639075 | SYSTEM AND METHOD FOR DEFINING A WEIGHTING SCHEME FOR A DATASET | Non-Final OA | The Toronto-Dominion Bank |
| 17526617 | CASCADING META LEARNER TO ENHANCE FUNCTIONALITIES OF MACHINE LEARNING MODELS | Final Rejection | Capital One Services, LLC |
| 18136687 | APPARATUS FOR TRAINING A PATH PREDICTION MODEL AND A METHOD THEREFOR | Final Rejection | KIA CORPORATION |
| 17557665 | FEATURE DEPRECATION ARCHITECTURES FOR NEURAL NETWORKS | Final Rejection | PayPal, Inc. |
| 18413589 | USING A RECURRENT NEURAL NETWORK AND A CLASSIFICATION MACHINE LEARNING MODEL TO PREDICT ACTIONS IN SOFTWARE APPLICATIONS | Non-Final OA | INTUIT INC. |
| 18335907 | NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE | Non-Final OA | FUJITSU LIMITED |
| 18309268 | TIME SERIES FORECASTING | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17934261 | SYNTHETIC DATA GENERATION | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18542375 | AUTOMATED LABEL GENERATION USING A MACHINE-LEARNED LANGUAGE MODEL | Non-Final OA | Maplebear Inc. |
| 18719076 | EXPLAINABLE MACHINE LEARNING BASED ON WAVELET ANALYSIS | Non-Final OA | EQUIFAX INC. |
| 18736786 | SYSTEMS AND METHODS FOR RETRIEVING INFORMATION FROM KNOWLEDGE GRAPHS BASED ON QUERY CONTEXT | Non-Final OA | Optum, Inc. |
| 17726887 | PRE-DEPLOYMENT VALIDATION OF INFRASTRUCTURE TOPOLOGY | Non-Final OA | Kyndryl, Inc. |
| 18610222 | SELF-LEARNING OF RELEVANCY METRICS FOR PERCEPTION RELATED APPLICATIONS | Non-Final OA | AUTOBRAINS TECHNOLOGIES LTD |
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