Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2124 2129
This examiner grants 36% of resolved cases
Jasmine Thanh Thai is an examiner in Art Unit 2124 of Tech Center 2100. The examiner has 31 resolved cases, which reveals the prosecution environment. The allowance rate is 35.5%. Additionally, the median days to allowance is 1443, which indicates the timeline for successful applications. Practitioners should prepare for this duration when filing in this Art Unit.
The interview lift is 64.5%. This figure represents an increase in the probability of an allowance from the 35.5% baseline. This 64.5% lift suggests that oral advocacy is an effective tool for overcoming rejections. Given the 1443-day median pendency, an interview should be considered as part of the prosecution strategy. With 31 resolved cases, the data from Tech Center 2100 emphasizes the value of direct engagement with this examiner. The 35.5% allowance rate and 64.5% interview lift are the primary metrics for this profile.
| 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 |
| 17966985 | REINFORCEMENT LEARNING METHOD AND APPARATUS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 17827448 | SELF-SUPERVISED CONTRASTIVE LEARNING USING RANDOM FEATURE CORRUPTION | Final Rejection | Google LLC |
| 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 |
| 17707847 | MACHINE LEARNING PIPELINE AUGMENTED WITH EXPLANATION | Non-Final OA | FUJITSU LIMITED |
| 17809713 | SYSTEMS AND METHODS FOR TRAINING ENERGY-EFFICIENT SPIKING GROWTH TRANSFORM NEURAL NETWORKS | Non-Final OA | Washington University |
| 18077471 | TRAINING METHOD AND APPARATUS FOR NEURAL NETWORK MODEL, DEVICE AND STORAGE MEDIUM | Non-Final OA | Beijing Baidu Netcom Science Technology Co., Ltd. |
| 17574208 | VIBRATION DATA ANALYSIS WITH FUNCTIONAL NEURAL NETWORK FOR PREDICTIVE MAINTENANCE | Non-Final OA | Hitachi, Ltd. |
| 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 |
| 18450277 | ARTIFICIAL INTELLIGENCE AGENT SYSTEMS AND METHODS OF USE | Non-Final OA | Aptima, Inc. |
| 18621324 | ANOMALY DETECTION IN MONITORED COMPUTER SYSTEMS | Non-Final OA | CHECK POINT SOFTWARE TECHNOLOGIES LTD. |
| 17707498 | METHOD AND SYSTEM FOR TUNING A COMPUTING ENVIRONMENT USING A KNOWLEDGE BASE | Final Rejection | AKAMAS SOCIETA' PER AZIONI |
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