Listed by the USPTO as STORK, KYLE R
Tech Center 2600 • Art Units: 2128 2143 2144 2147 2178 2179 2672
This examiner grants 63% of resolved cases
STORK, KYLE R works in Tech Center 2600 and Art Unit 2128. The profile records 884 resolved cases, with an allowance rate of 63.2%. The interview lift is 28.7%, and the median time to allowance is 1452 days. The data show a majority allowance result and a positive interview association, but also the longest reported median timeline in this profile.
The leading companies are Robert Bosch GmbH, Intel Corporation, and NVIDIA Corporation. The listed firms are Keller Preece PLLC, NORTON ROSE FULBRIGHT US LLP, and AMPACC Law Group, PLLC. Prosecution teams can use interviews constructively while planning for extended pendency and the resources required by a long allowance path.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18837025 | POWER FEATURE AIDED MACHINE LEARNING TO REDUCE NON-LINEAR DISTORTION | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 17317421 | METHOD AND APPARATUS FOR INCREMENTAL LEARNING | Non-Final OA | Samsung Electronics Co., Ltd. |
| 19376612 | DOMAIN-SPECIFIC NATURAL LANGUAGE DATA GENERATION BASED ON ITERATIVE VALIDATION OF DOMAIN-SPECIFIC ONTOLOGICAL DATA | Final Rejection | Citibank, N.A. |
| 18184379 | METHOD AND DEVICE FOR DETERMINING AN OPTIMAL ARCHITECTURE OF A NEURAL NETWORK | Final Rejection | Robert Bosch GmbH |
| 17837206 | DEVICE, A COMPUTER PROGRAM AND A COMPUTER-IMPLEMENTED METHOD FOR TRAINING A KNOWLEDGE GRAPH EMBEDDING MODEL | Final Rejection | Robert Bosch GmbH |
| 18254634 | Improved Two-Stage Machine Learning for Imbalanced Datasets | Final Rejection | Google LLC |
| 18701633 | NEURAL NETWORK DEVICE, DETECTION METHOD, AND PROGRAM | Non-Final OA | SONY GROUP CORPORATION |
| 18014099 | LEARNING DEVICE, FEATURE CALCULATION PROGRAM GENERATION METHOD AND SIMILARITY CALCULATOR | Final Rejection | NEC Corporation |
| 18678724 | ANOMALY DETECTION METHOD AND SYSTEM | Non-Final OA | UIF (University Industry Foundation), Yonsei University |
| 18467804 | DIRECT DEPTH PREDICTION | Final Rejection | QUALCOMM Incorporated |
| 18279820 | METHODS AND APPARATUS TO MODIFY PRE-TRAINED MODELS TO APPLY NEURAL ARCHITECTURE SEARCH | Final Rejection | Intel Corporation |
| 18216217 | STYLUS TRAJECTORY PREDICTION | Non-Final OA | Intel Corporation |
| 17895901 | APPARATUS FOR PREDICTING CONGESTION TIME POINT AND METHOD THEREOF | Final Rejection | Kia Corporation |
| 18330122 | SYNTHESIZING REALISTIC TIME SERIES WITH OUTLIERS | Final Rejection | Visa International Service Association |
| 18241974 | Method And Apparatus For Generalization Of Artificial Intelligence/Machine Learning Model | Final Rejection | MediaTek Inc. |
| 18677358 | ADJUSTING NEURAL NETWORK ARCHITECTURES | Non-Final OA | NVIDIA Corporation |
| 17827390 | TRAINING PERCEPTION MODELS USING SYNTHETIC DATA FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | Final Rejection | NVIDIA Corporation |
| 17881753 | METHOD AND APPARATUS FOR DELETING TRAINED DATA OF DEEP LEARNING MODEL | Non-Final OA | RESEARCH & BUSINESS FOUNDATION SUNGKYUNKWAN UNIVERSITY |
| 18490281 | CONTINUAL LEARNING FOR MULTI MODAL SYSTEMS USING CROWD SOURCING | Final Rejection | Cisco Technology, Inc. |
| 18632969 | DIGITAL ASSISTANT SERVICE USING GENERATIVE ARTIFICIAL INTELLIGENCE | Non-Final OA | SAP SE |
| 17580001 | LINKAGE DATA GENERATOR | Non-Final OA | PayPal, Inc. |
| 17364614 | DETECTING ANOMALOUS DIGITAL ACTIONS UTILIZING AN ANOMALOUS-DETECTION MODEL | Non-Final OA | Dropbox, Inc. |
| 17663464 | HIERARCHICAL MULTI-MODEL GENERATION IN NETWORK AND CLOUD COMPUTING SYSTEMS | Final Rejection | Juniper Networks, Inc. |
| 18678530 | MANAGING INFERENCE MODELS USING CONCEPT-BASED REPRESENTATIONS OF INFERENCES | Non-Final OA | Dell Products L.P. |
| 18501784 | EXPLAINABLE FEDERATED LEARNING ROBUST TO MALICIOUS CLIENTS AND TO NON-INDEPENDENT AND IDENTICALLY DISTRIBUTED DATA | Final Rejection | Dell Products L.P. |
| 17215558 | Systems and Methods for Classification and Time Series Calibration in Identity Health Analysis | Final Rejection | Allstate Insurance Company |
| 18183387 | BUILDING TIME-DECAYED LINE GRAPHS FOR DIRECT EMBEDDING OF CONTINUOUS-TIMED INTERACTIONS IN GENERATING TIME-AWARE RECOMMENDATIONS | Non-Final OA | Adobe Inc. |
| 18235529 | Microscopy System and Method for Testing a Quality of a Machine-Learned Image Processing Model | Final Rejection | Carl Zeiss Microscopy GmbH |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy63.2% of resolved applications examined by Kyle R Stork were allowed (884 resolved cases), compared with 38.7% across Art Unit 2128 over the last five years.
This examiner's interview lift is +28.7 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Kyle R Stork took 1,452 days on average from filing to allowance.
Kyle R Stork examines applications in Art Unit 2128 in Tech Center 2600 (Communications).
