Tech Center 2100 • Art Units: 2144 2147 2156 2157 2164
This examiner grants 76% of resolved cases
Grace A. Park is an examiner in Tech Center 2100 and Art Unit 2144, with 573 resolved cases. Her allowance rate of 76.3% indicates a high probability of success for patent applicants. This 76.3% rate suggests that a majority of applications result in a grant. The 573 resolved cases provide a solid statistical basis for understanding the prosecution landscape in this art unit.
The median days to allowance for her cases is 1216. This 1216-day metric provides a benchmark for the time required to reach a successful resolution. For practitioners, the 1216 days to allowance is an important piece of information for managing client expectations and project timelines. This 1216-day figure reflects the typical pace of prosecution within Tech Center 2100 for this examiner.
The interview lift of 17.6% highlights the value of direct communication with the examiner. This 17.6% lift suggests that applications are more likely to be allowed if an interview is conducted. When combined with the 76.3% base allowance rate, the 17.6% lift underscores the effectiveness of oral advocacy. Practitioners should consider the 17.6% lift as a useful tool for managing the 573 resolved cases in Art Unit 2144.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18374812 | FEDERATED LEARNING APPARATUS, SERVER APPARATUS, FEDERATED LEARNING SYSTEM, FEDERATED LEARNING METHOD, AND RECORDING MEDIUM | Non-Final OA | NEC Corporation |
| 19425066 | ARTIFICIAL INTELLIGENCE INFRASTRUCTURE WITH GPU-INITIATED STORAGE OPERATIONS | Final Rejection | PURE STORAGE, INC. |
| 19423524 | FLASH SYSTEM WITH INTEGRATED LOG ANALYTICS AND ANOMALY DETECTION | Final Rejection | PURE STORAGE, INC. |
| 17480168 | PREDICTIVE ANALYTICS MODEL MANAGEMENT USING COLLABORATIVE FILTERING | Final Rejection | Intel Corporation |
| 18569632 | METHODS AND APPARATUS FOR ADDRESSING INTENTS USING MACHINE LEARNING | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 18538726 | POST-HOC UNCERTAINTY QUANTIFICATION FOR MACHINE LEARNING SYSTEMS | Non-Final OA | Massachusetts Institute of Technology |
| 18024512 | LEARNING DEVICE, LEARNING METHOD AND LEARNING PROGRAM | Non-Final OA | NTT, Inc. |
| 18385873 | ENHANCING DOCUMENT METADATA WITH CONTEXTUAL MOLECULAR INTELLIGENCE | Non-Final OA | MICROSOFT TECHNOLOGY LICENSING, LLC |
| 18342764 | TRANSFER LEARNING FOR GENERATING A TARGET DOMAIN ANOMALY DETECTION MODEL USING SOURCE DOMAIN DATA | Final Rejection | International Business Machines Corporation |
| 18299398 | CONFIGURATION METHOD FOR AI NETWORK PARAMETER AND DEVICE | Non-Final OA | VIVO MOBILE COMMUNICATION CO., LTD. |
| 17971204 | DOMAIN GENERALIZABLE CONTINUAL LEARNING USING COVARIANCES | Final Rejection | NEC Laboratories America, Inc. |
| 17953166 | DETECTING ROBUSTNESS OF A NEURAL NETWORK | Final Rejection | NVIDIA Corporation |
| 18388414 | MACHINE LEARNING SYSTEM FOR PREDICTING BIOMARKERS | Non-Final OA | CVS Pharmacy, Inc. |
| 18232101 | AUTOMATED VENTRICULAR ECTOPIC BEAT CLASSIFICATION | Non-Final OA | BOSTON SCIENTIFIC CARDIAC DIAGNOSTICS, INC. |
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