Listed by the USPTO as TRAN, AMY NMN
Tech Center 2100 • Art Units: 2126
This examiner grants 40% of resolved cases
TRAN, AMY NMN is assigned to tech center 2100 and art unit 2126. The record includes 35 resolved cases, a 40.0% allowance rate, and a 39.2% interview lift. The median time to allowance is 1737 days. The profile pairs a lower observed allowance measure with a substantial positive interview association and an extended prosecution timeline.
The leading companies are Google LLC, Snowflake Inc., and NVIDIA Corporation. The recurring firms are CANTOR COLBURN LLP, Carroll, Hoette & Butscher, LLC, and Foley & Lardner LLP. Given the limited resolved-case record, practitioners should treat the metrics as directional while using the technology and representation mix to prepare focused responses and interviews.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18652563 | COMPUTER-BASED SYSTEMS FOR BINDING AT LEAST ONE UNIQUE SCHEMA-SPECIFIC IDENTIFIER TO A CATEGORY AND METHODS OF USE THEREOF | Non-Final OA | Capital One Services, LLC |
| 17708585 | ELECTRONIC DEVICE FOR PROCESSING DATA BASED ON ARTIFICIAL INTELLIGENCE MODEL AND METHOD FOR OPERATING THE SAME | Final Rejection | Samsung Electronics Co., Ltd. |
| 17658843 | DEVICE AND IN PARTICULAR COMPUTER-IMPLEMENTED METHOD FOR VERIFICATION | Final Rejection | Robert Bosch GmbH |
| 18596110 | Layerwise Multi-Objective Neural Architecture Search for Optimization of Machine-Learned Models | Non-Final OA | Google LLC |
| 18394615 | Systems and Methods for Model Training Based on Feature Fusion of Multiple Data Types | Final Rejection | GOOGLE LLC |
| 17318513 | PREDICTION MODEL CONVERSION METHOD AND PREDICTION MODEL CONVERSION SYSTEM | Final Rejection | Panasonic Intellectual Property Corporation of America |
| 18402051 | EFFICIENT EXECUTION OF MACHINE LEARNING MODELS BASED ON SPARSE DICTIONARIES | Non-Final OA | QUALCOMM Incorporated |
| 18631152 | LARGE LANGUAGE MODEL-BASED TRANSLATOR FOR MEDICAL IMAGING METADATA | Non-Final OA | Siemens Medical Solutions USA, Inc. |
| 18680942 | BUILDING SYSTEM WITH OCCUPANT ASSISTANT APPLICATION | Non-Final OA | Tyco Fire & Security GmbH |
| 17210150 | ANALYZING MACHINE LEARNING CURVES OF SOFTWARE ROBOTS | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18459083 | SHARPNESS-AWARE MINIMIZATION FOR ROBUSTNESS IN SPARSE NEURAL NETWORKS | Final Rejection | NVIDIA Corporation |
| 17029725 | TRANSFER LEARNING FOR NEURAL NETWORKS | Non-Final OA | Nvidia Corporation |
| 18295665 | RECOMMENDING BACKGROUNDS BASED ON USER INTENT | Final Rejection | Adobe Inc. |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy40.0% of resolved applications examined by Amy Nmn Tran were allowed (35 resolved cases), compared with 35.2% across Art Unit 2126 over the last five years.
This examiner's interview lift is +39.2 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Amy Nmn Tran took 1,737 days on average from filing to allowance.
Amy Nmn Tran examines applications in Art Unit 2126 in Tech Center 2100 (Computing & Software).
