Listed by the USPTO as SPRAUL III, VINCENT ANTON
Tech Center 2100 • Art Units: 2129 2145
This examiner grants 55% of resolved cases
SPRAUL III, VINCENT ANTON works in USPTO Technology Center 2100, Art Unit 2129. The profile covers 49 resolved cases, with an allowance rate of 55.1% and a median of 1592 days to allowance. Interview lift is 28.6%, making interviews a substantial consideration in a record with a long median path to allowance.
The listed companies are Capital One Services LLC, Robert Bosch GmbH, and Google LLC. The leading firms are Akona IP PC - Intel, BANNER & WITCOFF, LTD., and BLANK ROME LLP. Because the resolved-case base is limited relative to the larger profiles, practitioners should treat the outcome measures as useful indicators while giving particular attention to prosecution timing and interview opportunities.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18467108 | SYSTEMS AND METHODS FOR APPLICATION MONITORING | Final Rejection | Capital One Services, LLC |
| 17661960 | Predictive Severity Matrix | Final Rejection | Capital One Services, LLC |
| 18767046 | TECHNIQUES FOR COMPUTING PERFORMANCE METRICS FOR MULTIOUTPUT-MULTILABEL MACHINE LEARNING MODELS | Non-Final OA | Oracle International Corporation |
| 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 |
| 18358983 | COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM AND MACHINE LEARNING METHOD | Final Rejection | Fujitsu Limited |
| 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 |
| 17556657 | PRUNING AND/OR QUANTIZING MACHINE LEARNING PREDICTORS | Final Rejection | Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V. |
| 18344831 | NEURAL NETWORK INFERENCE BASED ON TABLE LOOKUP | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18239753 | SYSTEM AND METHOD FOR DYNAMICALLY ADJUSTING NEURAL NETWORK EFFICIENCY OF DYNAMIC NEURAL NETWORK RUNNING ON DEVICE | Final Rejection | MEDIATEK INC. |
| 17188338 | NEURAL NETWORK TRAINING TECHNIQUE | Non-Final OA | NVIDIA 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 |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy55.1% of resolved applications examined by Vincent Anton Spraul III were allowed (49 resolved cases), compared with 45.4% across Art Unit 2129 over the last five years.
This examiner's interview lift is +28.6 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Vincent Anton Spraul III took 1,592 days on average from filing to allowance.
Vincent Anton Spraul III examines applications in Art Unit 2129 in Tech Center 2100 (Computing & Software).
