Tech Center 2400 • Art Units: 2100 2121 2147 2483
This examiner grants 23% of resolved cases
David Hoang Tran is an examiner in Tech Center 2400, Art Unit 2100. The examiner has 22 resolved cases. The data shows an allowance rate of 22.7 percent and an interview lift of 23.0 percent. The median days to allowance for these cases is 1633.
The 23.0 percent interview lift is a significant figure when compared to the 22.7 percent base allowance rate. This indicates that conducting an interview is a method for increasing the likelihood of an allowance. The 1633 day median pendency is the timeframe applicants can expect when navigating the resolved cases handled by this examiner in Art Unit 2100. Practitioners can consider how these metrics influence the overall prosecution timeline.
With 22 resolved cases, the examiner's statistics provide a view of the prosecution landscape. Practitioners can use the 22.7 percent allowance rate to assess the probability of a grant. The 23.0 percent lift and the Tech Center 2400 environment are factors for prosecution strategy. These data points help in setting expectations for clients.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18486247 | METHODS FOR TRAINING AND DEPLOYING AN ARTIFICIAL INTELLIGENCE MODEL FOR USE WITH PREDICTING A TASK OUTPUT | Non-Final OA | Toyota Research Institute, Inc. |
| 17317806 | SYSTEMS AND METHODS FOR IDENTIFYING MANUFACTURING DEFECTS | Non-Final OA | Samsung Display Co., Ltd. |
| 17360459 | Neural Network System and Data Processing Technology | Non-Final OA | Huawei Technologies Co., Ltd. |
| 18551847 | Machine Learning Model for Detecting Out-Of-Distribution Inputs | Non-Final OA | Google LLC |
| 18431458 | METHODS AND APPARATUS FOR DISCRIMINATIVE SEMANTIC TRANSFER AND PHYSICS-INSPIRED OPTIMIZATION OF FEATURES IN DEEP LEARNING | Non-Final OA | Intel Corporation |
| 17649578 | System and Method for Automated Transfer Learning with Domain Disentanglement | Non-Final OA | Mitsubishi Electric Research Laboratories, Inc. |
| 17476001 | FEATURE SELECTION USING FEATURE-RANKING BASED OPTIMIZATION MODELS | Final Rejection | PayPal, Inc. |
| 18418624 | MOE MODEL FROM BLOCK SPARSE COMPUTATION'S POINT OF VIEW | Non-Final OA | TENCENT AMERICA LLC |
| 18044736 | DYNAMIC GRAPH NODE EMBEDDING VIA LIGHT CONVOLUTION | Final Rejection | VISA INTERNATIONAL SERVICE ASSOCIATION |
| 18194729 | RESOURCE-EFFICIENT PULSE-BASED VARIATIONAL QUANTUM ALGORITHM | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17548182 | COMPUTER OPTIMIZATION OF TASK PERFORMANCE THROUGH DYNAMIC SENSING | Non-Final OA | International Business Machines Corporation |
| 17357082 | DYNAMIC CONTAINER CREATION BASED ON IDENTIFIED CONTEXTUAL NEED | Non-Final OA | International Business Machines Corporation |
| 17134416 | ANNOTATION QUALITY GRADING OF MACHINE LEARNING TRAINING SETS | Final Rejection | International Business Machines Corporation |
| 17576724 | SUBCOMPONENT MODEL TRAINING | Final Rejection | salesforce.com, inc. |
| 16928888 | INTENT-BASED COMMAND RECOMMENDATION GENERATION IN AN ANALYTICS SYSTEM | Final Rejection | ADOBE INC. |
| 17505384 | IMAGE GENERATION USING ONE OR MORE NEURAL NETWORKS | Final Rejection | Nvidia Corporation |
| 17491341 | OPTIMIZING CONCURRENT ARTIFICIAL INTELLIGENCE PROCESSING USING DERIVED NEURAL NETWORKS | Final Rejection | NVIDIA Corporation |
| 17374664 | NEURAL NETWORK EVALUATION | Non-Final OA | NVIDIA Corporation |
| 17211687 | LATENT-VARIABLE GENERATIVE MODEL WITH A NOISE CONTRASTIVE PRIOR | Final Rejection | NVIDIA CORPORATION |
| 18135873 | Featureless Image Categorization and Recognition using Hybrid Artificial Intelligence (AI) and Image Structural Properties for System Performance Optimization | Final Rejection | Bank of America Corporation |
| 18060104 | SYSTEM AND METHOD FOR MANAGING INFERENCE MODELS BASED ON INFERENCE GENERATION FREQUENCIES | Non-Final OA | Dell Products L.P. |
| 17121763 | CLASSIFICATION DEVICE AND CLASSIFICATION METHOD BASED ON NEURAL NETWORK | Final Rejection | Industrial Technology Research Institute |
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