Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2122
This examiner grants 37% of resolved cases
Kevin Lee Smith, an examiner in Tech Center 2100 and Art Unit 2122, has overseen 141 resolved cases. His allowance rate is 36.9 percent, which indicates a challenging prosecution environment in the computer architecture and software fields. This 36.9 percent rate provides a baseline for practitioners to manage expectations and prepare for a rigorous examination. The 141 resolved cases offer a clear statistical picture of this environment.
The median time to allowance is 1688 days, which is a very long period. The interview lift is 20.0 percent, suggesting that interviews are a productive way to resolve issues and improve the 36.9 percent base allowance rate. Practitioners should consider the 1688 days median and the 20.0 percent lift as they develop their strategy for navigating the prosecution process with this examiner.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17939210 | METHOD, AND DEVICE FOR PROVIDING HUMAN WELLNESS RECOMMENDATION BASED ON UWB BASED HUMAN ACTIVITY DETECTION | Non-Final OA | Samsung Electronics Co., Ltd. |
| 18695021 | LEARNING DEVICE, LEARNING METHOD, CONTROL SYSTEM, AND RECORDING MEDIUM | Non-Final OA | NEC Corporation |
| 18521665 | NEURAL NETWORK DEVICE AND SYNAPTIC WEIGHT UPDATE METHOD | Non-Final OA | KABUSHIKI KAISHA TOSHIBA |
| 17697724 | SYSTEM AND METHOD FOR PREDICTING TRANSACTIONAL BEHAVIOR IN A NETWORK | Non-Final OA | MASTERCARD INTERNATIONAL INCORPORATED |
| 17587729 | Systems and Methods for Implementing a Hybrid Machine Vision Model to Optimize Performance of a Machine Vision Job | Non-Final OA | ZEBRA TECHNOLOGIES CORPORATION |
| 18152960 | METHOD AND DEVICE FOR ASCERTAINING A FUSION OF PREDICTIONS RELATING TO SENSOR SIGNALS | Non-Final OA | Robert Bosch GmbH |
| 17366639 | METHOD AND DEVICE FOR CREATING A SYSTEM FOR THE AUTOMATED CREATION OF MACHINE LEARNING SYSTEMS | Final Rejection | Robert Bosch GmbH |
| 17899355 | COMPUTER-BASED SYSTEMS HAVING TECHNOLOGICALLY IMPROVED MACHINE LEARNING RECOMMENDATION ENGINES CONFIGURED/PROGRAMMED TO UTILIZE DYNAMIC VARIABLE RATIO FEEDBACK AND METHODS OF USE THEREOF | Final Rejection | Capital One Services, LLC |
| 18574793 | DECENTRALIZED ACTIVE-LEARNING MODEL UPDATE AND BROADCAST MECHANISM IN INTERNET-OF-THINGS ENVIRONMENT | Non-Final OA | Intel Corporation |
| 17488289 | FRACTIONAL INFERENCE ON GPU AND CPU FOR LARGE SCALE DEPLOYMENT OF CUSTOMIZED TRANSFORMERS BASED LANGUAGE MODELS | Non-Final OA | Oracle International Corporation |
| 18712048 | AUTOMATIC MODEL ONBOARDING AND SEARCHING-BASED OPTIMIZATION | Non-Final OA | VISA INTERNATIONAL SERVICE ASSOCIATION |
| 18436860 | STRUCTURE OF ML MODEL INFORMATION AND ITS USAGE | Non-Final OA | Nokia Technologies Oy |
| 17539271 | System and Method for Contextual Density Ratio-based Biasing of Sequence-to-Sequence Processing Systems | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17544314 | TRAINING OF QUANTUM BOLTZMANN MACHINES BY QUANTUM IMAGINARY-TIME EVOLUTION | Non-Final OA | International Business Machines Corporation |
| 16952398 | SOUND ANOMALY DETECTION USING DATA AUGMENTATION | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17086277 | SCALABLE DISCOVERY OF LEADERS FROM DYNAMIC COMBINATORIAL SEARCH SPACE USING INCREMENTAL PIPELINE GROWTH APPROACH | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17688650 | GENERATING AND UTILIZING SYNTHETIC TIME SERIES DATA FOR IMPOVING SUBSTRATE MANUFACTURING | Final Rejection | Applied Materials, Inc. |
| 17222924 | SYSTEM AND METHOD FOR HUMAN ACTION RECOGNITION AND INTENSITY INDEXING FROM VIDEO STREAM USING FUZZY ATTENTION MACHINE LEARNING | Final Rejection | BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM |
| 18168774 | REINFORCEMENT LEARNING FOR OPTIMIZING CROSS-CHANNEL COMMUNICATIONS | Final Rejection | Optum, Inc. |
| 17508079 | MULTI-OBSERVER, CONSENSUS-BASED GROUND TRUTH | Final Rejection | Dell Products, L.P. |
| 18684935 | QUANTUM DATA CENTER | Non-Final OA | THE UNIVERSITY OF CHICAGO |
| 18486489 | SYSTEM AND METHOD FOR GENERATING AND OPTIMIZING ARTIFICIAL INTELLIGENCE MODELS | Final Rejection | Actapio, Inc. |
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