Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2129 2145 4100
This examiner grants 56% of resolved cases
Examiner Vincent Anton Spraul III operates within Art Unit 2129 of Tech Center 4100. He has managed 47 resolved cases, maintaining an allowance rate of 57.4%. This rate provides a baseline for applicants seeking patent grants in his docket. Practitioners should prepare for the examination process based on these historical outcomes in Art Unit 2129.
The data indicates an interview lift of 28.5%, which implies that conducting interviews may improve the chances of reaching an allowance. The median days to allowance for his cases is 1590. This duration reflects the typical timeline for successful prosecution under his review. Given the 28.5% lift, engagement through an interview could be a strategic priority to navigate the 1590 day timeline. The 57.4% allowance rate suggests that while hurdles exist, verbal communication is a tool for resolution. With 47 resolved cases, the examiner has an established record in Tech Center 4100.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18333670 | CONVERTING HISTORICAL TRANSACTION DATA INTO MERCHANT VECTORS FOR MODEL TRAINING | Non-Final OA | The Toronto-Dominion Bank |
| 18574913 | METHOD AND DEVICE FOR THE AUTOMATED CREATION OF A MACHINE LEARNING SYSTEM FOR MULTI-SENSOR DATA FUSION | Non-Final OA | Robert Bosch GmbH |
| 18222327 | MEMORY EFFICIENT SEQUENCE GENERATION NEURAL NETWORKS | Final Rejection | Google LLC |
| 17661960 | Predictive Severity Matrix | Final Rejection | Capital One Services, LLC |
| 18751926 | ARTIFICIAL INTELLIGENCE / MACHINE LEARNING BASED SENSING | Non-Final OA | QUALCOMM Incorporated |
| 17820593 | NEURAL NETWORK BASED POWER AND PERFORMANCE MODEL FOR VERSATILE PROCESSING UNITS | Non-Final OA | Intel Corporation |
| 18240183 | SYSTEMS AND METHODS FOR DETECTING ANOMALOUS MACHINE OPERATIONS USING HYPERBOLIC EMBEDDINGS | Non-Final OA | Mitsubishi Electric Research Laboratories, Inc. |
| 18421478 | PLUG-AND-PLAY MODULE FOR DE-BIASING PREDICTIVE MODELS VIA MACHINE-GENERATED NOISE | Non-Final OA | PAYPAL, INC. |
| 17556657 | PRUNING AND/OR QUANTIZING MACHINE LEARNING PREDICTORS | Final Rejection | Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V. |
| 18767046 | TECHNIQUES FOR COMPUTING PERFORMANCE METRICS FOR MULTIOUTPUT-MULTILABEL MACHINE LEARNING MODELS | Non-Final OA | Oracle International Corporation |
| 18358983 | COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM AND MACHINE LEARNING METHOD | Final Rejection | Fujitsu Limited |
| 18239753 | SYSTEM AND METHOD FOR DYNAMICALLY ADJUSTING NEURAL NETWORK EFFICIENCY OF DYNAMIC NEURAL NETWORK RUNNING ON DEVICE | Final Rejection | MEDIATEK INC. |
| 18344831 | NEURAL NETWORK INFERENCE BASED ON TABLE LOOKUP | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17188338 | NEURAL NETWORK TRAINING TECHNIQUE | Non-Final OA | NVIDIA Corporation |
| 18331248 | DATA ANALYSIS METHOD, DATA ANALYSIS SYSTEM, AND DATA ANALYSIS SYSTEM SERVER | Final Rejection | SHIMADZU CORPORATION |
| 18708438 | FORECASTING ENERGY CONSUMPTION IN A MIXED-VEHICLE FLEET | Non-Final OA | UNIVERSITY OF HOUSTON SYSTEM |
| 18431481 | QUANTUM COMPUTING APPROACHES FOR RESOURCE ALLOCATION | Non-Final OA | PwC Product Sales LLC |
| 17486272 | PREDICTIVE ANOMALY DETECTION USING DEFINED INTERACTION LEVEL ANOMALY SCORES | Non-Final OA | UnitedHealth Group Incorporated |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy