Listed by the USPTO as DAY, ROBERT N
Tech Center 2600 • Art Units: 2122 2123 2148 2488 2666
This examiner grants 26% of resolved cases
Robert N. Day has 31 resolved cases in Tech Center 2600 and Art Unit 2122. The allowance rate is 25.8%, and the median time to allowance is 1552 days. The limited record shows a low allowance outcome and prolonged prosecution, so applicants should treat the profile as an initial signal.
The interview lift is 35.4%, suggesting that interviews may be useful when developing a response path. The leading companies are NEC, Samsung Electronics, and Robert Bosch. NSIP LAW, Harrity & Harrity, and K&L GATES are the listed leading firms.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17946218 | APPARATUS AND METHOD WITH NEURAL NETWORK OPTIMIZATION | 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. |
| 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 |
| 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 |
| 18222401 | STATE DETERMINATION APPARATUS USING MACHINE LEARNING MODEL, DETERMINATION METHOD, AND STORAGE MEDIUM | Non-Final OA | NEC Corporation |
| 17903044 | MACHINE LEARNING METHOD AND INFORMATION PROCESSING DEVICE OF TRAINING MODEL USING ADVERSARIAL NEURAL NETWORK | Non-Final OA | Fujitsu Limited |
| 17455516 | RECOMMENDATIONS USING GRAPH MACHINE LEARNING-BASED REGRESSION | Final Rejection | FUJITSU LIMITED |
| 18784000 | NODE AND RESERVOIR DEVICE | Non-Final OA | TDK Corporation |
| 17534076 | DEEP REINFORCEMENT LEARNING FOR FIELD DEVELOPMENT PLANNING OPTIMIZATION | Non-Final OA | Chevron U.S.A. Inc. |
| 17195451 | NEURAL NETWORK TRAINING TECHNIQUE | Final Rejection | NVIDIA Corporation |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy25.8% of resolved applications examined by Robert N Day were allowed (31 resolved cases), compared with 31.6% across Art Unit 2122 over the last five years.
This examiner's interview lift is +35.4 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Robert N Day took 1,552 days on average from filing to allowance.
Robert N Day examines applications in Art Unit 2122 in Tech Center 2600 (Communications).
