Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2126
This examiner grants 38% of resolved cases
Amy NMN Tran works in Tech Center 2100 and Art Unit 2126. She has resolved 34 cases, with an allowance rate of 38.2 percent. The median days to allowance for these cases is 1755. These figures provide a look at her performance in this art unit. The 34 cases resolved form the basis for her current performance data.
Interviews are a strategy used with this examiner, as shown by an interview lift of 37.0 percent. This suggests that direct engagement is associated with a change in the likelihood of an allowance. With 34 cases resolved, the 38.2 percent allowance rate and 37.0 percent lift provide a picture of her examination style. Practitioners should consider the 1755-day median when planning their strategy in Art Unit 2126. The 37.0 percent lift is a key data point for those deciding on their engagement strategy in Tech Center 2100. These metrics offer a baseline for managing expectations.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17708585 | ELECTRONIC DEVICE FOR PROCESSING DATA BASED ON ARTIFICIAL INTELLIGENCE MODEL AND METHOD FOR OPERATING THE SAME | Final Rejection | Samsung Electronics Co., Ltd. |
| 18569705 | SIMULATED ANNEALING DEVICE AND SIMULATED ANNEALING METHOD | Non-Final OA | NEC Corporation |
| 17318513 | PREDICTION MODEL CONVERSION METHOD AND PREDICTION MODEL CONVERSION SYSTEM | Final Rejection | Panasonic Intellectual Property Corporation of America |
| 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 |
| 17297839 | SYSTEMS AND METHODS FOR MODEL TRAINING BASED ON FEATURE FUSION OF MULTIPLE DATA TYPES | Final Rejection | GOOGLE LLC |
| 18680942 | BUILDING SYSTEM WITH OCCUPANT ASSISTANT APPLICATION | Non-Final OA | Tyco Fire & Security GmbH |
| 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 |
| 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. |
| 18521391 | APPARATUS AND METHOD FOR EVALUATING CORRECTNESS OF AI/ML MODEL | Non-Final OA | ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE |
| 17350034 | FEATURE SELECTION USING TESTING DATA | Final Rejection | International Business Machines Corporation |
| 17210150 | ANALYZING MACHINE LEARNING CURVES OF SOFTWARE ROBOTS | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18565706 | MEASURING A VALUE OF A PHYSICAL VARIABLE OF A TECHNICAL SYSTEM | Non-Final OA | Siemens Aktiengesellschaft |
| 17328779 | SYSTEMS AND METHODS FOR HIERARCHICAL MULTI-LABEL CONTRASTIVE LEARNING | Final Rejection | salesforce.com, inc. |
| 18295665 | RECOMMENDING BACKGROUNDS BASED ON USER INTENT | Final Rejection | Adobe Inc. |
| 17029725 | TRANSFER LEARNING FOR NEURAL NETWORKS | Non-Final OA | Nvidia Corporation |
| 17083093 | SYSTEM AND METHOD FOR DEEP CUSTOMIZED NEURAL NETWORKS FOR TIME SERIES FORECASTING | Final Rejection | YAHOO ASSETS LLC |
| 18395267 | REAL-TIME MACHINE LEARNING TECHNIQUES FOR PROACTIVELY GENERATING AND ACTING ON USER-SPECIFIC ACTIVITY INSIGHTS | Non-Final OA | Optum, Inc. |
| 18281891 | MEMORY ALLOCATION METHOD FOR AI PROCESSOR, COMPUTER APPARATUS, AND COMPUTER-READABLE STORAGE MEDIUM | Non-Final OA | ALLWINNER TECHNOLOGY CO., LTD. |
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