Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2121 2147 3628 4100
This examiner grants 40% of resolved cases
Daniel Patrick Gruszka is an examiner in Tech Center 4100 and Art Unit 2121. Across 5 resolved cases, the data shows an allowance rate of 40.0 percent. This 40.0 percent figure provides a baseline for practitioners to understand the probability of a grant. The 5 resolved cases offer an initial look at the examiner's tendencies in this administrative and computer-related center.
The data reveals an interview lift of 66.7 percent. This 66.7 percent lift indicates that an interview is associated with a higher likelihood of allowance compared to the baseline of cases where no interview is conducted. Practitioners may use this metric to evaluate the impact of verbal advocacy. This comparison is a key element of the prosecution strategy for cases in Art Unit 2121.
The median days to allowance for Gruszka is 1583. This 1583-day period serves as a benchmark for the expected duration of successful prosecutions. The combination of the 40.0 percent allowance rate and the 66.7 percent interview lift, within the context of Tech Center 4100, helps in setting expectations for both timing and results.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18201999 | PREDICTION MODEL GENERATION APPARATUS, PREDICTION APPARATUS, PREDICTION MODEL GENERATION METHOD, PREDICTION METHOD, AND PROGRAM | Non-Final OA | NEC Corporation |
| 18067410 | SYSTEM AND METHOD WITH SEQUENCE MODELING OF SENSOR DATA FOR MANUFACTURING | Final Rejection | Robert Bosch GmbH |
| 18178684 | ACTIVATION FUNCTION FOR HOMOMORPHICALLY-ENCRYPTED NEURAL NETWORKS | Final Rejection | Intel Corporation |
| 18217876 | METHOD AND SYSTEM FOR COMPUTING RECONCILED AND CONSISTENT EXPLANATIONS OVER TIME | Final Rejection | JPMorgan Chase Bank, N.A. |
| 18802731 | HUMAN COLLABORATIVE AGENT DEVICE, SYSTEM, MULTI-AGENT LEARNING METHOD, AND, STORAGE MEDIUM | Non-Final OA | Mitsubishi Electric Corporation |
| 18184700 | ARTIFICIAL INTELLIGENCE-BASED GAMIFICATION FOR SERVICE BACKGROUND | Non-Final OA | Siemens Healthineers AG |
| 17564002 | GENERATING SYNTHETIC TRAINING DATA FOR PERCEPTION MACHINE LEARNING MODELS USING DATA GENERATORS | Final Rejection | VOLKSWAGEN AKTIENGESELLSCHAFT |
| 18497929 | QUANTUM COMPUTING SYSTEM MODEL TRAINING | Non-Final OA | Fujitsu Limited |
| 17869940 | METHOD AND APPARATUS WITH ARTIFICIAL NETWORK GENERATION AND/OR IMPLEMENTATION CORRESPONDING TO A NATURAL NEURAL NETWORK | Final Rejection | President and Fellows of Harvard College |
| 17767269 | Event Detection in a Data Stream | Final Rejection | Telefonaktiebolaget LM Ericsson (publ) |
| 18020907 | Systems and Methods for Crowdsourced Machine Learning | Final Rejection | The Board of Trustees of the Leland Stanford Junior University |
| 18510407 | Producing a Reduced-Size Model by Explanation Tuning | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18122691 | Scalable and Resource-Efficient Knowledge-Graph Completion | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18013894 | PROVIDING AN ALARM RELATING TO ANOMALY SCORES ASSIGNED TO INPUT DATA METHOD AND SYSTEM | Final Rejection | SIEMENS AKTIENGESELLSCHAFT |
| 18747291 | DYNAMIC GENERATION OF INFORMATION REQUESTS | Non-Final OA | Boost SubscriberCo L.L.C. |
| 17660144 | USING HEADER MATRICES FOR FEATURE IMPORTANCE ANALYSIS IN MACHINE LEARNING MODELS | Non-Final OA | Dell Products L.P. |
| 18184428 | MACHINE LEARNING MODEL TRAINING USING FEATURE SPACE ANALYSIS | Final Rejection | The Aerospace Corporation |
| 18138582 | COMPUTING A HIERARCHY OF CLASS LABELS FOR HIERARCHICAL MULTI-LABEL CLASSIFICATION | Final Rejection | Kyndryl, Inc. |
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