Prosecution Insights
Prosecution Insights
Tech Center 2800 • Art Units: 2128 2143 2144 2147 2178 2179 2672 2812
This examiner grants 63% of resolved cases
Kyle R. Stork is an examiner in Tech Center 2800 and Art Unit 2128. He has 884 resolved cases. The allowance rate is 63.2 percent. The median days to allowance is 1452. This 1452 days figure provides a timeline for applicants to consider during prosecution. The 884 resolved cases offer a basis for these statistics. This data is specific to his work in Art Unit 2128.
The interview lift for this examiner is 28.7 percent. This lift indicates that the allowance rate changes when an interview is conducted. Practitioners can use this information to decide whether to request an interview. The 63.2 percent allowance rate is the baseline for applications assigned to him. Direct communication is a strategy that relates to the 28.7 percent lift. These figures from Tech Center 2800 help in planning prosecution steps. The 1452 days median is a factor in managing expectations for patent pendency.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18605227 | METHOD AND DEVICE FOR IMPLEMENTING DEEP LEARNING RECOMMENDATION MODEL | Non-Final OA | SAMSUNG ELECTRONICS CO.,LTD. |
| 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. |
| 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 |
| 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 |
| 18593564 | Implementing Quantum Logic Gates using Pulse Analysis for Quantum Computing System | Non-Final OA | Google LLC |
| 18254634 | Improved Two-Stage Machine Learning for Imbalanced Datasets | Final Rejection | Google LLC |
| 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 |
| 17820900 | DEEP NEURAL NETWORK (DNN) ACCELERATORS WITH HETEROGENEOUS TILING | Non-Final OA | Intel Corporation |
| 17580001 | LINKAGE DATA GENERATOR | Non-Final OA | PayPal, Inc. |
| 18701633 | NEURAL NETWORK DEVICE, DETECTION METHOD, AND PROGRAM | Non-Final OA | SONY GROUP CORPORATION |
| 18837025 | POWER FEATURE AIDED MACHINE LEARNING TO REDUCE NON-LINEAR DISTORTION | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 18372661 | EFFICIENT TRANSFORMER TRAINING BASED ON SMALLER PRETRAINED MODELS | Final Rejection | Massachusetts Institute of Technology |
| 18567736 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR DEFINING IMPORTANCE MASK AND IMPORTANCE ORDERING LIST | Non-Final OA | Nokia Technologies Oy |
| 17566898 | ENHANCED LEXICON-BASED CLASSIFIER MODELS WITH TUNABLE ERROR-RATE TRADEOFFS | Final Rejection | MICROSOFT TECHNOLOGY LICENSING, LLC |
| 18632969 | DIGITAL ASSISTANT SERVICE USING GENERATIVE ARTIFICIAL INTELLIGENCE | Non-Final OA | SAP SE |
| 18300721 | STRUCTURED DOCUMENT GENERATION FROM TEXT PROMPTS | Non-Final OA | ADOBE INC. |
| 18183387 | BUILDING TIME-DECAYED LINE GRAPHS FOR DIRECT EMBEDDING OF CONTINUOUS-TIMED INTERACTIONS IN GENERATING TIME-AWARE RECOMMENDATIONS | Non-Final OA | Adobe 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 |
| 18490281 | CONTINUAL LEARNING FOR MULTI MODAL SYSTEMS USING CROWD SOURCING | Final Rejection | Cisco Technology, Inc. |
| 18523123 | SYSTEMS AND METHODS TO TOKENIZE AND CATEGORIZE DATA TRANSACTIONS | Non-Final OA | Bank of America Corporation |
| 17881753 | METHOD AND APPARATUS FOR DELETING TRAINED DATA OF DEEP LEARNING MODEL | Non-Final OA | RESEARCH & BUSINESS FOUNDATION SUNGKYUNKWAN UNIVERSITY |
| 17663464 | HIERARCHICAL MULTI-MODEL GENERATION IN NETWORK AND CLOUD COMPUTING SYSTEMS | Final Rejection | Juniper Networks, Inc. |
| 17331501 | ACTIVE LEARNING ANNOTATION SYSTEM THAT DOES NOT REQUIRE HISTORICAL DATA | Final Rejection | Feedzai - Consultadoria e Inovação Tecnológica, S.A. |
| 17132847 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR PREDICTING A SPLIT LANE TRAFFIC PATTERN | Non-Final OA | HERE GLOBAL B.V. |
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