Tech Center 2600 • Art Units: 2122 2123 2148 2488 2666
This examiner grants 24% of resolved cases
Robert N. Day is an examiner in Art Unit 2122 within Tech Center 2600. His profile shows 29 resolved cases with an allowance rate of 24.1 percent. This 24.1 percent rate provides a baseline for evaluating the probability of a grant. The 29 resolved cases offer an initial look at his prosecution tendencies in Tech Center 2600.
The median time to allowance for successful applications is 1539 days. The interview lift is 22.4 percent, indicating that direct engagement with the examiner can be beneficial. Given the 24.1 percent allowance rate, the 22.4 percent lift represents a substantial improvement in the odds of success. Practitioners should consider the 1539-day median pendency when deciding whether to prioritize interviews in Art Unit 2122.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18314378 | METHOD AND APPARATUS WITH MACHINE LEARNING | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 17396510 | SYSTEM AND METHOD FOR LIGHTWEIGHT SEMANTIC MASKING | Non-Final OA | Samsung Electronics Co., Ltd. |
| 17156126 | METHOD AND APPARATUS FOR CONTINUAL FEW-SHOT LEARNING WITHOUT FORGETTING | Final Rejection | Samsung Electronics Co., Ltd. |
| 18382128 | STATE DETERMINATION APPARATUS USING MACHINE LEARNING MODEL, DETERMINATION METHOD, AND STORAGE MEDIUM | Non-Final OA | NEC Corporation |
| 18382149 | STATE DETERMINATION APPARATUS USING MACHINE LEARNING MODEL, DETERMINATION METHOD, AND STORAGE MEDIUM | Non-Final OA | NEC Corporation |
| 18382148 | STATE DETERMINATION APPARATUS USING MACHINE LEARNING MODEL, DETERMINATION METHOD, AND STORAGE MEDIUM | Non-Final OA | NEC Corporation |
| 18227261 | METHOD OF LEARNING NEURAL NETWORK, FEATURE SELECTION APPARATUS, FEATURE SELECTION METHOD, AND RECORDING MEDIUM | Final Rejection | NEC Corporation |
| 18226059 | METHOD OF LEARNING NEURAL NETWORK, FEATURE SELECTION APPARATUS, FEATURE SELECTION METHOD, AND RECORDING MEDIUM | Non-Final OA | NEC Corporation |
| 18222401 | STATE DETERMINATION APPARATUS USING MACHINE LEARNING MODEL, DETERMINATION METHOD, AND STORAGE MEDIUM | Non-Final OA | NEC Corporation |
| 18586400 | DATA PROCESSING METHOD, APPARATUS, AND SYSTEM | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18154132 | Method for Training a Data-Based Evaluation Model | Non-Final OA | Robert Bosch GmbH |
| 18424420 | TRAINING ULTRA-LARGE-SCALE VISION TRANSFORMER NEURAL NETWORKS | Non-Final OA | Google LLC |
| 17455548 | Machine Learning and Reject Inference Techniques Utilizing Attributes of Unlabeled Data Samples | Non-Final OA | PayPal, Inc. |
| 17903044 | MACHINE LEARNING METHOD AND INFORMATION PROCESSING DEVICE OF TRAINING MODEL USING ADVERSARIAL NEURAL NETWORK | Non-Final OA | Fujitsu Limited |
| 17534076 | DEEP REINFORCEMENT LEARNING FOR FIELD DEVELOPMENT PLANNING OPTIMIZATION | Non-Final OA | Chevron U.S.A. Inc. |
| 17404060 | DISTRIBUTED MACHINE LEARNING USING SHARED CONFIDENCE VALUES | Final Rejection | International Business Machines Corporation |
| 18678960 | ANGLE BASED CONFIDENCE ESTIMATION FOR A NEURAL NETWORK USING BAYESIAN CONFIDENCE ESTIMATION | Non-Final OA | Government of the United States as represented by the Secretary of the Air Force |
| 18178043 | MACHINE LEARNING MONITORING TECHNIQUES FOR IDENTIFYING AND FACILITATING MODEL RETRAINING | Final Rejection | Optum Services (Ireland) Limited |
| 17648447 | EXPLAINABLE RESPONSE TIME PREDICTION OF STORAGE ARRAYS DETECTION | Non-Final OA | Dell Products L.P. |
| 18784000 | NODE AND RESERVOIR DEVICE | Non-Final OA | TDK Corporation |
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