Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2123 2124 2144
This examiner grants 44% of resolved cases
Kyu Hyung Han serves as an examiner in Art Unit 2123 within Tech Center 2100. The examiner has 16 resolved cases and an allowance rate of 43.8 percent. This dataset, while based on 16 cases, offers a look into the examiner's tendencies in the computer memory or data processing fields. The 43.8 percent rate indicates that fewer than half of the applications reach a grant, suggesting a rigorous examination process.
The median days to allowance for these cases is 1521. This is a substantial amount of time, and practitioners should prepare for a long prosecution cycle when assigned to this examiner. The 1521-day figure serves as a benchmark for the time required to reach a successful outcome in Art Unit 2123. Understanding this timeline is crucial for managing patent term adjustments and client expectations.
The interview lift is 36.7 percent. This high percentage suggests that interviews are a powerful tool for increasing the probability of an allowance. For the 16 cases resolved, the 36.7 percent lift indicates that direct engagement with the examiner can significantly improve the 43.8 percent baseline allowance rate. Practitioners should consider a formal interview as a primary strategy to overcome rejections and move applications toward a final grant.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17339752 | MACHINE LEARNING BASED INTERFERENCE WHITENER SELECTION | Final Rejection | Samsung Electronics Co., Ltd. |
| 18080523 | FEDERATED LEARNING METHOD AND APPARATUS, AND CHIP | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18062561 | METHOD AND SYSTEM FOR GENERATING TASK-RELEVANT STRUCTURAL EMBEDDINGS FROM MOLECULAR GRAPHS | Final Rejection | Huawei Cloud Computing Technologies Co., Ltd. |
| 17657041 | MORE ROBUST TRAINING FOR ARTIFICIAL NEURAL NETWORKS | Non-Final OA | Robert Bosch GmbH |
| 18668086 | CONSISTENCY EVALUATION FOR DOCUMENT SUMMARIES USING LANGUAGE MODEL NEURAL NETWORKS | Non-Final OA | Google LLC |
| 17664103 | MACHINE LEARNING MODEL FOR RECOMMENDING INTERACTION PARTIES | Final Rejection | Capital One Services, LLC |
| 17697751 | LAYER-BY-LAYER TRAINING FOR FEDERATED LEARNING | Non-Final OA | QUALCOMM Incorporated |
| 17543551 | METHOD AND SYSTEM OF HIGHLY EFFICIENT NEURAL NETWORK IMAGE PROCESSING | Final Rejection | Intel Corporation |
| 17834282 | CONTROL METHOD, COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN CONTROL PROGRAM, AND INFORMATION PROCESSING DEVICE | Non-Final OA | FUJITSU LIMITED |
| 17622954 | CLUSTERING-BASED QUANTIZATION FOR NEURAL NETWORK COMPRESSION | Non-Final OA | InterDigital VC Holdings, Inc. |
| 18596414 | DOMAIN GENERALIZATION FOR MACHINE LEARNING MODELS | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18192613 | OPTIMAL RELAXED CLASSIFICATION TREES | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17239812 | Input-Encoding with Federated Learning | Non-Final OA | International Business Machines Corporation |
| 18421359 | Intelligent Iterative Multi-version Extractor | Non-Final OA | Bank of America Corporation |
| 18544678 | INFERENCE METHOD USING A DNN MODEL IN ENERGY HARVESTING SYSTEM | Non-Final OA | Research & Business Foundation SUNGKYUNKWAN UNIVERSITY |
| 17850754 | SYSTEM AND METHOD FOR REDUCTION OF DATA TRANSMISSION IN DYNAMIC SYSTEMS THROUGH REVISION OF RECONSTRUCTED DATA | Final Rejection | Dell Products L.P. |
| 17772182 | MODEL GENERATION APPARATUS, ESTIMATION APPARATUS, MODEL GENERATION METHOD, AND COMPUTER-READABLE STORAGE MEDIUM STORING A MODEL GENERATION PROGRAM | Non-Final OA | OMRON Corporation |
| 17798111 | LEARNING MACHINE LEARNING INCENTIVES BY GRADIENT DESCENT FOR AGENT COOPERATION IN A DISTRIBUTED MULTI-AGENT SYSTEM | Non-Final OA | DeepMind Technologies Limited |
| 18783788 | System and Method for Closed-Loop Uncertainty for Human-Machine Teamwork | Non-Final OA | The Government of the United States of America, as represented by the Secretary of the Navy |
| 18632704 | SIMPLIFICATION OF SPIKING NEURAL NETWORK MODELS | Non-Final OA | Ecole Polytechnique Federale De Lausanne (EPFL) |
| 17745088 | SYSTEMS AND METHODS FOR TRAINING NEURAL NETWORKS ON A CLOUD SERVER USING SENSORY DATA COLLECTED BY ROBOTS | Non-Final OA | Brain Corporation |
| 17544415 | ENHANCING COMBINATORIAL OPTIMIZATION WITH QUANTUM GENERATIVE MODELS | Non-Final OA | Zapata Computing, Inc. |
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