Tech Center 4100 • Art Units: 2141 2142 2145 2148 2171 2172 2177 4100
This examiner grants 32% of resolved cases
David H Tan is an examiner in Art Unit 2141 within Tech Center 4100. The examiner has 109 resolved cases and an allowance rate of 32.1 percent. This rate suggests that securing a patent grant is a challenging process, as a majority of applications do not reach allowance. The interview lift is 16.6 percent, showing that direct communication with the examiner is a useful strategy for advancing prosecution. Practitioners should consider the 16.6 percent interview lift when deciding how to respond to rejections.
The median days to allowance is 1484. This figure provides a benchmark for the expected duration of the prosecution process for successful applications. The 32.1 percent allowance rate and 1484-day median offer a clear statistical context for managing applications in this unit. These data points, derived from 109 resolved cases, allow for a data-grounded approach to developing a prosecution strategy that aligns with the examiner's historical performance. Applicants should be prepared for the 1484-day timeframe in Tech Center 4100.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18666930 | CONSTRUCTION METHOD AND APPARATUS FOR BIPARTITE GRAPH, AND DISPLAY METHOD AND APPARATUS FOR BIPARTITE GRAPH | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18424633 | TRAINING NEURAL NETWORKS BY RESETTING DORMANT NEURONS | Non-Final OA | Google LLC |
| 18441318 | HIGH-DIMENSIONAL VECTOR SPACE ENCODING TECHNIQUES FOR HYPERDIMENSIONAL COMPUTING SYSTEMS | Non-Final OA | The Regents of the University of California |
| 17721761 | FEATURE EVALUATIONS FOR MACHINE LEARNING MODELS | Non-Final OA | PAYPAL, INC. |
| 18399124 | Creating, Assigning, and Interacting with Action Items Related to Collaborative Tasks | Non-Final OA | Procore Technologies, Inc. |
| 17023458 | METHOD AND SYSTEM FOR SCALABLE AND DECENTRALIZED INCREMENTAL MACHINE LEARNING WHICH PROTECTS DATA PRIVACY | Final Rejection | Siemens Healthcare GmbH |
| 17106029 | CAPTURING FEATURE ATTRIBUTION IN MACHINE LEARNING PIPELINES | Final Rejection | Amazon Technologies, Inc. |
| 18585753 | ARTIFICIAL INTELLIGENCE TRAINING USING ACCESIBILITY DATA | Non-Final OA | Oracle International Corporation |
| 18574623 | METHOD, APPARATUS, DEVICE, AND STORAGE MEDIUM FOR MESSAGE PROCESSING | Final Rejection | Beijing Zitiao Network Technology Co., Ltd. |
| 17456243 | ASSISTED COLLABORATIVE NAVIGATION IN SCREEN SHARE ENVIRONMENTS | Final Rejection | International Business Machines Corporation |
| 18422819 | Systems and Methods for Constrained Text Generation Using Large Language Models | Non-Final OA | Salesforce, Inc. |
| 17489284 | CONFIGURING DYNAMIC INTERACTIONS BETWEEN APPLICATION ELEMENTS | Non-Final OA | Salesforce, Inc. |
| 17891476 | MIXED SYNTHETIC DATA GENERATION | Non-Final OA | Accenture Global Solutions Limited |
| 17952107 | ARTIFICIAL INTELLIGENCE WORK CENTER | Non-Final OA | SAP SE |
| 18187864 | OBJECT AFFINITY DETERMINATION AND SCORING SYSTEM | Final Rejection | Adobe Inc. |
| 18339641 | DETECTING DEVICE, DETECTING METHOD, MACHINE LEARNING DEVICE, MACHINE LEARNING METHOD, AND MACHINE LEARNING MODEL | Non-Final OA | Rakuten Group, Inc. |
| 17949180 | SYSTEMS AND METHODS FOR TRAINING USING CONTRASTIVE LOSSES | Non-Final OA | NAVER CORPORATION |
| 18497453 | POWER-SPACE EFFICIENT PHOTONIC FOURIER CONVOLUTIONAL NEURAL NETWORK | Non-Final OA | HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP |
| 17030072 | LEARNING MODEL GENERATION METHOD, RECORDING MEDIUM, EYEGLASS LENS SELECTION SUPPORT METHOD, AND EYEGLASS LENS SELECTION SUPPORT SYSTEM | Final Rejection | HOYA LENS THAILAND LTD. |
| 18127551 | ALLOCATING COMPUTING RESOURCES BETWEEN MODEL SIZE AND TRAINING DATA DURING TRAINING OF A MACHINE LEARNING MODEL | Final Rejection | DeepMind Technologies Limited |
| 17861407 | CONFIGURATION OF ASSET MONITORING SYSTEMS | Non-Final OA | Baker Hughes Holdings LLC |
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