Listed by the USPTO as THAI, JASMINE THANH
Tech Center 2100 • Art Units: 2124 2129
This examiner grants 36% of resolved cases
Jasmine Thanh Thai has resolved 31 cases in Tech Center 2100, with an allowance rate of 35.5%. The median time to allowance is 1443 days, indicating a very challenging and lengthy prosecution path in Art Unit 2124. Top companies such as Qualcomm Incorporated, Wells Fargo Bank, N.A., and Samsung Electronics Co., Ltd. have all navigated this examiner's docket. These statistics suggest that applicants must be prepared for a rigorous and time-consuming examination process.
The most striking data point is the 64.5% interview lift, which is exceptionally high. This lift suggests that interviews are an essential tool for overcoming the low 35.5% base allowance rate. Firms like Maschoff Brennan and ARMSTRONG TEASDALE LLP (15060) should prioritize interviews to improve outcomes and manage the 1443-day median pendency. Given the 64.5% lift, an interview may be the most effective way to reach a favorable resolution across the 31 resolved cases.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18519860 | ELECTRONIC APPARATUS FOR QUANTIZING NEURAL NETWORK MODEL AND CONTROL METHOD THEREOF | Non-Final OA | Samsung Electronics Co., Ltd. |
| 18630785 | SYSTEMS AND METHODS FOR MITIGATING THE OVERFITTING OF ARTIFICIAL INTELLIGENCE MODELS | Non-Final OA | Wells Fargo Bank, N.A. |
| 17542178 | INTERACTIVE DIGITAL DASHBOARDS FOR TRAINED MACHINE LEARNING OR ARTIFICIAL INTELLIGENCE PROCESSES | Non-Final OA | The Toronto-Dominion Bank |
| 17827448 | SELF-SUPERVISED CONTRASTIVE LEARNING USING RANDOM FEATURE CORRUPTION | Final Rejection | Google LLC |
| 17966985 | REINFORCEMENT LEARNING METHOD AND APPARATUS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 17696040 | Artificial Intelligence (AI) Model Evaluation Method and System, and Device | Non-Final OA | Huawei Cloud Computing Technologies Co., Ltd. |
| 17707847 | MACHINE LEARNING PIPELINE AUGMENTED WITH EXPLANATION | Non-Final OA | FUJITSU LIMITED |
| 18662303 | FREQUENCY-DOMAIN MACHINE LEARNING MODEL ADAPTERS | Non-Final OA | QUALCOMM Incorporated |
| 18102601 | METHOD OF DETERMINING ZONE MEMBERSHIP IN ZONE-BASED FEDERATED LEARNING | Final Rejection | QUALCOMM Technologies, Inc. |
| 18363087 | MODELING OPERATIONAL BOUNDS OF LARGE LANGUAGE MODELS FOR THE MEDICAL DOMAIN | Non-Final OA | Siemens Healthineers AG |
| 17495436 | BALANCING WORKLOAD FOR ZERO SKIPPING ON DEEP LEARNING ACCELERATOR | Final Rejection | MEDIATEK INC. |
| 18071231 | NEURAL NETWORK WORD CLUSTERING SYSTEM | Final Rejection | SAP SE |
| 17500721 | Classification Evaluation and Improvement in Machine Learning Models | Final Rejection | ServiceNow, Inc. |
| 17664660 | COMPUTING METHOD AND COMPUTING SYSTEM FOR TRANSFORMER MODEL | Non-Final OA | HTC Corporation |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy35.5% of resolved applications examined by Jasmine Thanh Thai were allowed (31 resolved cases), compared with 63.1% across Art Unit 2124 over the last five years.
This examiner's interview lift is +64.5 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Jasmine Thanh Thai took 1,443 days on average from filing to allowance.
Jasmine Thanh Thai examines applications in Art Unit 2124 in Tech Center 2100 (Computing & Software).
