Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2122 2129 2145 2151 2198 4100
This examiner grants 83% of resolved cases
Eric Nilsson works in Tech Center 4100 and Art Unit 2122. The data includes 520 resolved cases and an allowance rate of 82.7%. This 82.7% rate indicates a favorable outlook for applicants in this art unit. The median days to allowance is 1140, which provides a benchmark for the expected time to grant. With 520 resolved cases, the examiner has a well-established track record of outcomes.
The interview lift is 17.6%, showing that interviews further enhance the 82.7% baseline allowance rate. Practitioners can use this 17.6% lift to justify the time and expense of an interview to their clients. The 1140 median days to allowance suggests a moderate pace for the prosecution cycle. Engaging the examiner directly appears to be a productive strategy given the 17.6% lift. This profile in Art Unit 2122 is defined by the 520 resolved cases and the high probability of allowance.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18353572 | CALIBRATION USING DIFFERENTIAL MACHINE LEARNING | Non-Final OA | Wells Fargo Bank, N.A. |
| 18495528 | APPARATUS AND METHOD FOR DISTRIBUTED NEURAL NETWORKS | Final Rejection | HUAWEI TECHNOLOGIES CO., LTD. |
| 18669844 | Method for Determining a Machine Learning Model Architecture for Detecting Anomalies in Sensor Signals | Non-Final OA | Robert Bosch GmbH |
| 18377520 | ITERATIVE MACHINE LEARNING INTERATOMIC POTENTIAL (MLIP) TRAINING METHODS | Non-Final OA | Robert Bosch GmbH |
| 17972854 | PROPRIOCEPTIVE LEARNING | Final Rejection | Honda Motor Co., Ltd. |
| 17848728 | PROGRAMMATIC SELECTOR FOR CHOOSING A WELL-SUITED STACKED MACHINE LEARNING ENSEMBLE PIPELINE AND HYPERPARAMETER VALUES | Final Rejection | Capital One Services, LLC |
| 18475995 | ADAPTIVE ACQUISITION FOR COMPRESSED SENSING | Non-Final OA | QUALCOMM Incorporated |
| 18769906 | METHODS AND APPARATUS FOR DISCRIMINATIVE SEMANTIC TRANSFER AND PHYSICS-INSPIRED OPTIMIZATION OF FEATURES IN DEEP LEARNING | Non-Final OA | Intel Corporation |
| 17965995 | INFERENCE DEVICE, AND UPDATE METHOD | Final Rejection | Mitsubishi Electric Corporation |
| 18651460 | MACHINE LEARNING BASED APPROACH FOR AUTOMATICALLY RECOMMENDING CONTEXT-SPECIFIC NAVIGATION OPTIONS WITHIN A USER INTERFACE | Non-Final OA | INTUIT INC. |
| 17401002 | SYSTEM AND METHOD FOR OPTIMIZING A MACHINE LEARNING MODEL | Final Rejection | Visa International Service Association |
| 18287488 | INFORMATION PROCESSING SYSTEM AND PROCESSING CONDITION DETERMINATION SYSTEM | Final Rejection | Hitachi, Ltd. |
| 18385871 | LOSS-SCALING FOR DEEP NEURAL NETWORK TRAINING WITH REDUCED PRECISION | Non-Final OA | NVIDIA Corporation |
| 18651011 | COGNITIVE AUTOMATION FOR NETWORKING, SECURITY, IoT, AND COLLABORATION | Final Rejection | Cisco Technology, Inc. |
| 18507630 | SECURELY INTEGRATING STORED ACCOUNT DATA WITH EXTERNAL WORKFLOWS AND LARGE LANGUAGE MODELS | Final Rejection | Dropbox, Inc. |
| 18530683 | METHOD AND APPARATUS WITH DISTRIBUTED TRAINING OF NEURAL NETWORK | Final Rejection | Seoul National University R&DB Foundation |
| 18238459 | COMPUTING PLATFORM, METHOD, AND APPARATUS FOR SPIKING NEURAL NETWORK LEARNING AND SIMULATION | Final Rejection | ZHEJIANG UNIVERSITY |
| 18536589 | METHOD FOR PREDICTING USER PERSONALITY USING PRE-OBTAINED PERSONALITY INDICATORS AND TIME-SERIES INFORMATION | Non-Final OA | Korea Electronics Technology Institute |
| 18534295 | MULTI-VIEW HYPERBOLIC-HYPERBOLIC GRAPH REPRESENTATION LEARNING METHOD | Non-Final OA | Shanxi University |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
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