Listed by the USPTO as TRAN, TAN H
Tech Center 2100 • Art Units: 2141 2147 2173
This examiner grants 61% of resolved cases
TRAN, TAN H is assigned to Tech Center 2100 and Art Unit 2141. The profile includes 323 resolved cases, a 61.3% allowance rate, and a 32.3% interview lift. The median time to allowance is 1281 days. The data shows an allowance outcome above half of resolved cases and a substantial interview-associated effect, while the pendency figure supports early planning for applications with time-sensitive commercial objectives.
The leading companies are NEC Corporation, DeepMind Technologies Limited, and Capital One Services LLC. The listed firms are AMPACC Law Group, PLLC, Astute IP Law Group, and BLANK ROME LLP. Counsel may benefit from combining focused interviews with technically detailed amendments that address the precise basis for any rejection.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17553290 | TECHNIQUES FOR RANKED HYPERPARAMETER OPTIMIZATION | Non-Final OA | Capital One Services, LLC |
| 18824166 | ENABLING DEVICE CONTROL PLANNING CAPABILITIES OF SMALL LANGUAGE MODEL | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 18429285 | Systems and Methods for Providing Continuous-Path and Delete Key Gestures at a Touch-Sensitive Keyboard | Final Rejection | Apple Inc. |
| 18752142 | TASK CREATION METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM | Non-Final OA | Beijing Zitiao Network Technology Co., Ltd. |
| 18371587 | COLLABORATIVE LEARNING WITH FULL MODEL ALIGNMENT | Final Rejection | Robert Bosch GmbH |
| 18574668 | ENHANCED MACHINE LEARNING TECHNIQUES USING DIFFERENTIAL PRIVACY AND SELECTIVE DATA AGGREGATION | Final Rejection | Google LLC |
| 18341397 | Adaptive Learning Rates for Training Adversarial Models with Improved Computational Efficiency | Final Rejection | Google LLC |
| 17792583 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM | Final Rejection | SONY GROUP CORPORATION |
| 18782090 | ELECTRONIC SYSTEM FOR AUTOMATICALLY GENERATING RESOURCE DISTRIBUTIONS BASED ON SMS-BASED INSTRUCTIONS USING MACHINE LEARNING | Non-Final OA | BANK OF AMERICA CORPORATION |
| 18288217 | ESTIMATION DEVICE, ESTIMATION METHOD, AND RECORDING MEDIUM | Final Rejection | NEC Corporation |
| 17791369 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM | Final Rejection | NEC Corporation |
| 18587614 | ACTIVATION-BASED QUANTIZATION OF MACHINE LEARNING MODEL PARAMETERS | Non-Final OA | Snap Inc. |
| 17832733 | NEURAL NETWORK SYSTEM, NEURAL NETWORK LEARNING METHOD, AND NEURAL NETWORK LEARNING PROGRAM | Final Rejection | FUJITSU LIMITED |
| 18565015 | DATA PROTECTION METHOD, TRAINING METHOD AND APPARATUS FOR NETWORK STRUCTURE, MEDIUM, AND DEVICE | Final Rejection | Lemon Inc. |
| 18384525 | RESOURCE EFFICIENT FEDERATED EDGE LEARNING WITH HYPERDIMENSIONAL COMPUTING | Final Rejection | Intel Corporation |
| 18559003 | NEURAL NETWORK LEARNING APPARATUS, NEURAL NETWORK LEARNING METHOD, AND PROGRAM | Non-Final OA | NTT, Inc. |
| 18844434 | PATTERN-BASED OPTIMIZATION OF LIGHTING SYSTEM COMMISSIONING | Non-Final OA | SIGNIFY HOLDING B.V. |
| 18426717 | Method, System, and Computer Program Product for Improving Training Loss of Graph Neural Networks Using Bi-Level Optimization | Final Rejection | Visa International Service Association |
| 18393019 | SYSTEMS AND METHODS FOR A NEURAL NETWORK BASED SHOPPING AGENT BOT | Final Rejection | Salesforce, Inc. |
| 18775643 | PROBABILISTIC NEURAL NETWORK ARCHITECTURE GENERATION | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17551929 | ELECTRONIC DEVICE PERFORMING IMITATION LEARNING FOR BEHAVIOR AND OPERATION METHOD THEREOF | Non-Final OA | ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE |
| 17951870 | ADVERSARIAL ATTACKS FOR IMPROVING COOPERATIVE MULTI-AGENT REINFORCEMENT LEARNING SYSTEMS | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18738425 | PHYSICAL PROPERTY INFORMATION RETRIEVAL SYSTEM, PHYSICAL PROPERTY INFORMATION RETRIEVAL METHOD, AND STORAGE MEDIUM STORING PHYSICAL PROPERTY INFORMATION RETRIEVAL PROGRAM | Non-Final OA | Hitachi High-Tech Corporation |
| 18644328 | LARGE LANGUAGE MODELS (LLMS) CACHING VIA DOUBLE VERIFICATION | Non-Final OA | Cisco Technology, Inc. |
| 17773100 | EXECUTING ARTIFICIAL INTELLIGENCE AGENTS IN AN OPERATING ENVIRONMENT | Final Rejection | ServiceNow, Inc. |
| 18743768 | SYSTEM AND METHOD FOR LABEL ERROR DETECTION VIA CLUSTERING TRAINING LOSSES | Non-Final OA | The Trustees of Princeton University |
| 18885294 | ANOMALY DETECTION AND USER ATTRIBUTION USING MACHINE-LEARNING LARGE LANGUAGE MODELS | Non-Final OA | Maplebear Inc. |
| 18885958 | METHOD FOR PROCESSING INFORMATION, INFORMATION PROCESSING SYSTEM AND STORAGE MEDIUM | Non-Final OA | YAMAHA CORPORATION |
| 18529102 | CHANNEL SPECIFIC NEURAL NETWORK PROCESSING | Final Rejection | Mobileye Vision Technologies Ltd. |
| 18535928 | SYSTEM DESIGN FOR AN INTEGRATED LIFELONG MACHINE LEARNING AGENT | Final Rejection | SRI International |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy61.3% of resolved applications examined by Tan H Tran were allowed (323 resolved cases), compared with 26.4% across Art Unit 2141 over the last five years.
This examiner's interview lift is +32.3 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Tan H Tran took 1,281 days on average from filing to allowance.
Tan H Tran examines applications in Art Unit 2141 in Tech Center 2100 (Computing & Software).
