Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2127 2144 2164
This examiner grants 41% of resolved cases
Jun Kwon is an examiner in Tech Center 2100, working within Art Unit 2127. He has resolved 78 cases to date. The allowance rate is 41.0 percent, which is relatively low and indicates a challenging prosecution environment. Applicants should be prepared for a rigorous examination and a higher probability of rejection. The 41.0 percent rate suggests that the examiner is strict in their review of patent applications.
The interview lift is 47.2 percent, which is quite high. This indicates that interviews are a very effective strategy for overcoming rejections and securing an allowance. The median time to allowance is 1708 days. This is a very long duration, so practitioners should prepare their clients for an extended prosecution cycle. Given the 47.2 percent lift, an interview is a critical tool for navigating the 1708 days of median pendency. Practitioners should prioritize direct communication to resolve technical disagreements and improve the odds of a grant. The data shows that while the baseline allowance rate is low, the examiner is very responsive to oral advocacy. Persistent engagement will be key to success with this examiner.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18014703 | NEURAL NETWORK-BASED COMMUNICATION METHOD AND DEVICE | Non-Final OA | LG ELECTRONICS INC. |
| 17872096 | COMPUTATION APPARATUS, NEURAL NETWORK SYSTEM,NEURON MODEL APPARATUS, COMPUTATION METHOD AND PROGRAM | Final Rejection | NEC Corporation |
| 18733518 | METHODS AND SYSTEMS FOR TRAINING ARTIFICIAL INTELLIGENCE-BASED MODELS USING LIMITED LABELED DATA | Non-Final OA | MASTERCARD INTERNATIONAL INCORPORATED |
| 17334162 | IMAGE-BASED ANOMALY DETECTION BASED ON A MACHINE LEARNING ANALYSIS OF AN OBJECT | Non-Final OA | ZEBRA TECHNOLOGIES CORPORATION |
| 17664447 | LEARNING FEATURE IMPORTANCE FOR IMPROVED VISUAL EXPLANATION | Non-Final OA | The Boeing Company |
| 18625571 | Domain-Specific Generative Model for Generating News Content Items | Non-Final OA | Google LLC |
| 18425193 | NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING EVALUATION PROGRAM, EVALUATION METHOD, AND ACCURACY EVALUATION DEVICE | Non-Final OA | FUJITSU LIMITED |
| 18689823 | DYNAMIC REINFORCEMENT LEARNING | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 18758848 | APPARATUS, METHOD AND COMPUTER PROGRAM | Non-Final OA | Nokia Technologies Oy |
| 17505422 | NEURAL NETWORK PROCESSING UNIT FOR HYBRID AND MIXED PRECISION COMPUTING | Final Rejection | MediaTek Inc. |
| 18454106 | ONLINE SYSTEM AND METHOD FOR SOLVING CONTEXT-ATTENTIVE COMBINATORIAL BANDIT WITH OBSERVATIONS | Non-Final OA | International Business Machines Corporation |
| 16397919 | PERFORMING A HIERARCHICAL SIMPLIFICATION OF LEARNING MODELS | Non-Final OA | International Business Machines Corporation |
| 18710297 | FUTURE STATE ESTIMATION APPARATUS | Non-Final OA | HITACHI, LTD. |
| 18067925 | ESTIMATING EFFECTS WITH LATENT REPRESENTATIONS | Final Rejection | Adobe Inc. |
| 17404707 | MACHINE LEARNING CONSOLIDATION | Final Rejection | Raytheon Company |
| 18625858 | METHODS AND SYSTEMS FOR QUANTUM SECURE FEDERATED LEARNING (FL) IN DISTRIBUTED ARTIFICIAL INTELLIGENCE (AI) | Non-Final OA | AT&T Intellectual Property I, L.P. |
| 16392366 | NEURAL NETWORK PROCESSING | Final Rejection | Arm Limited |
| 18430914 | SEMANTIC MODERATION OF CONVERSATIONAL AGENTS | Non-Final OA | Dell Products L.P. |
| 16667696 | EXPLANATION REPORTING BASED ON DIFFERENTIATION BETWEEN ITEMS IN DIFFERENT DATA GROUPS | Final Rejection | Feedzai - Consultadoria e Inovação Tecnológica, S.A. |
| 17159868 | METHODS AND SYSTEMS FOR USING MACHINE LEARNING MODELS THAT GENERATE CLUSTER-SPECIFIC TEMPORAL REPRESENTATIONS FOR TIME SERIES DATA IN COMPUTER NETWORKS | Final Rejection | The Bank of New York Mellon |
| 18603346 | METHOD AND STORAGE MEDIUM FOR CONVERTING NON-GRAPH BASED ANN MODEL TO GRAPH BASED ANN MODEL | Non-Final OA | DEEPX CO., LTD. |
| 17993628 | MEASURING SIMULATION REALISM | Non-Final OA | GM Cruise Holdings LLC |
| 18162116 | SYSTEMS AND METHODS FOR TRAINING PREDICTIVE MODELS ON SEQUENTIAL DATA USING 1-DIMENSIONAL CONVOLUTIONAL LAYERS IN A BLIND LEARNING APPROACH | Final Rejection | TripleBlind, Inc. |
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