Tech Center 2100 • Art Units: 2100 2123
This examiner grants 37% of resolved cases
Duy T Diep is an examiner in Tech Center 2100 and Art Unit 2100. The examiner has 35 resolved cases. The allowance rate for these cases is 37.1 percent. This 37.1 percent rate indicates that more than half of the 35 resolved cases did not result in a grant. This metric serves as a baseline for applicants whose cases are assigned to this examiner.
The data shows an interview lift of 23.7 percent. This lift represents the change in the probability of allowance when an interview is conducted. The median days to allowance is 1594. This 1594-day figure serves as a middle point for the time required to reach an allowance. Practitioners can use the 37.1 percent allowance rate and the 23.7 percent interview lift to plan their prosecution strategy. The 1594-day median provides a benchmark for the expected duration of the process from filing to grant for applications in Art Unit 2100.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17584505 | MACHINE LEARNING DEVELOPMENT USING SUFFICIENTLY-LABELED DATA | Final Rejection | University of Florida Research Foundation, Incorporated |
| 18619579 | APPARATUS AND METHOD FOR DETECTOR SELECTION WITH NEURAL NETWORK | Non-Final OA | Samsung Electronics Co., Ltd. |
| 18058862 | METHOD OF EXECUTING CLASS CLASSIFICATION PROCESSING USING MACHINE LEARNING MODEL, INFORMATION PROCESSING DEVICE, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING COMPUTER PROGRAM | Final Rejection | SEIKO EPSON CORPORATION |
| 18822684 | DEVICE AND METHOD FOR DETERMINING AN OUTPUT SIGNAL AND A CONFIDENCE IN THE DETERMINED OUTPUT SIGNAL | Non-Final OA | Robert Bosch GmbH |
| 17681119 | Method and device for processing data associated with a plurality of physical devices | Non-Final OA | Robert Bosch GmbH |
| 18051081 | INFERENCE APPARATUS, MEDICAL IMAGE DIAGNOSTIC APPARATUS, INFERENCE METHOD, AND TRAINED NEURAL NETWORK GENERATION METHOD | Final Rejection | Canon Kabushiki Kaisha |
| 17568163 | SYSTEM, METHOD, AND NON-TRANSITORY STORAGE MEDIUM | Non-Final OA | CANON KABUSHIKI KAISHA |
| 18709267 | DECIMAL-BIT NETWORK QUANTIZATION OF CONVOLUTIONAL NEURAL NETWORK MODELS | Non-Final OA | Intel Corporation |
| 17183766 | SYSTEMS AND METHODS FOR PROVIDING PLUG-AND-PLAY FRAMEWORKS FOR TRAINING MODELS USING SEMI-SUPERVISED LEARNING TECHNIQUES | Final Rejection | Walmart Apollo, LLC |
| 17969159 | DATA PROCESSING METHOD, APPARATUS, AND DEVICE, AND STORAGE MEDIUM | Final Rejection | Tencent Technology (Shenzhen) Company Limited |
| 18714717 | FIRST NODE, SECOND NODE AND METHODS PERFORMED THEREBY FOR HANDLING DATA AUGMENTATION | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 17964704 | DEEP REINFORCEMENT LEARNING BASED WIRELESS NETWORK SIMULATOR | Final Rejection | Nokia Solutions and Networks Oy |
| 18103962 | FRAMEWORK SYSTEM FOR IMPROVING PERFORMANCE OF KNOWLEDGE GRAPH EMBEDDING MODEL AND METHOD FOR LEARNING THEREOF | Non-Final OA | Electronics and Telecommunications Research Institute |
| 18714656 | METHOD, APPARATUS, SYSTEM, MEDIUM AND ELECTRONIC DEVICE FOR GENERATING GRAPH NEURAL NETWORK | Non-Final OA | Lemon Inc. |
| 17545152 | EDGE TO CLOUD METAMODEL-BASED ARTIFICIAL GENERAL INTELLIGENCE | Non-Final OA | Cisco Technology, Inc. |
| 17362661 | Using Neural Networks to Handle Watermarks in Digital Files | Final Rejection | Advanced Micro Devices, Inc. |
| 17525078 | GENERATION OF HIGHER-RESOLUTION DATASETS WITH A QUANTUM COMPUTER | Non-Final OA | Zapata Computing, Inc. |
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