Tech Center 2100 • Art Units: 2100 2146
This examiner grants 32% of resolved cases
Hyungjun B Yi is an examiner in Tech Center 2100 and Art Unit 2100. The examiner has reached a conclusion on 28 resolved cases. These resolutions have resulted in an allowance rate of 32.1 percent. This rate provides an indication of the frequency of successful outcomes for applications processed by this examiner.
The data shows a median of 1597 days to allowance. This timeline offers a benchmark for practitioners regarding the expected duration of the prosecution process. Furthermore, the interview lift is recorded at 25.8 percent. This figure indicates that conducting an interview is associated with a higher probability of allowance compared to the baseline rate of 32.1 percent.
Practitioners should consider the 25.8 percent interview lift when developing their strategy for Art Unit 2100. Engaging in direct communication may be a productive step given the 28 resolved cases on record. The 1597 days to allowance reflects the typical pace of resolution within Tech Center 2100 for this examiner.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18598612 | MODEL TEST METHOD AND APPARATUS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18059204 | METHOD AND DEVICE FOR DETERMINING A COVERAGE OF A DATA SET FOR A MACHINE LEARNING SYSTEM WITH RESPECT TO TRIGGER EVENTS | Non-Final OA | Robert Bosch GmbH |
| 18304713 | DETECTING AND MITIGATING FAULT IN SPARSITY COMPUTATION IN DEEP NEURAL NETWORK | Final Rejection | Intel Corporation |
| 17843772 | Concepts for Coding Neural Networks Parameters | Final Rejection | Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V. |
| 18133125 | AUTOMATIC GENERATION OF EXEMPLAR QUANTITY FOR TRAINING MACHINE LEARNING MODELS | Final Rejection | ORACLE INTERNATIONAL CORPORATION |
| 17708018 | COMPUTER-READABLE RECORDING MEDIUM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS | Final Rejection | FUJITSU LIMITED |
| 18250089 | BEHAVIOR PREDICTION METHOD, BEHAVIOR PREDICTION APPARATUS AND PROGRAM | Non-Final OA | NIPPON TELEGRAPH AND TELEPHONE CORPORATION |
| 18742662 | LEARNING NOISE MODELS TO PERFORM QUANTUM ERROR MITIGATION ON UNSTRUCTURED QUANTUM CIRCUITS | Non-Final OA | International Business Machines Corporation |
| 17124945 | TRAINING A SEMANTIC PARSER USING ACTION TEMPLATES | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17220567 | TRAINING A MACHINE LEARNING MODEL USING STRUCTURED DATA | Non-Final OA | Salesforce, Inc. |
| 17934573 | MACHINE LEARNING MODEL TRAINING METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM | Non-Final OA | GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD. |
| 18479326 | INTERPRETING CONVOLUTIONAL SEQUENCE MODEL BY LEARNING LOCAL AND RESOLUTION-CONTROLLABLE PROTOTYPES | Non-Final OA | NEC Laboratories America, Inc. |
| 18479372 | INTERPRETING CONVOLUTIONAL SEQUENCE MODEL BY LEARNING LOCAL AND RESOLUTION-CONTROLLABLE PROTOTYPES | Non-Final OA | NEC Laboratories America, Inc. |
| 18479385 | INTERPRETING CONVOLUTIONAL SEQUENCE MODEL BY LEARNING LOCAL AND RESOLUTION-CONTROLLABLE PROTOTYPES | Non-Final OA | NEC Laboratories America, Inc. |
| 18414057 | DISTRIBUTED INFERENCING | Non-Final OA | NVIDIA Corporation |
| 18257101 | ESTIMATION DEVICE, ESTIMATION METHOD, ESTIMATION PROGRAM, AND LEARNING MODEL GENERATION DEVICE | Final Rejection | THE UNIVERSITY OF TOKYO |
| 17404856 | METHODS AND APPARATUS TO INCREMENTALLY TRAIN A MODEL | Non-Final OA | McAfee, LLC |
| 18622949 | Automated AI-Based Handling of Requests for Privileges Escalation | Non-Final OA | VARONIS SYSTEMS, INC. |
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