Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2122 2123 2126 2148 4100
This examiner grants 46% of resolved cases
Johnathan R. Germick is assigned to Tech Center 4100 and Art Unit 2122, with 104 resolved cases in his record. The data shows an allowance rate of 46.2% and a median days to allowance of 1672. This 1672-day pendency is a significant timeline for practitioners to consider when filing in this art unit. The 46.2% allowance rate serves as the primary indicator of success for applications under this examiner's review.
The interview lift of 30.6% provides a clear tactical direction for practitioners. When compared to the 46.2% allowance rate, the 30.6% lift suggests that interviews are a powerful mechanism for resolving issues. Given the 1672-day median timeline, utilizing interviews may help navigate the lengthy pendency associated with these 104 resolved cases. Applicants in Art Unit 2122 should weigh the 30.6% lift against the baseline allowance probability to optimize their prosecution strategy.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 16979091 | SYSTEM AND METHOD FOR GENERATING INFORMATION FOR INTERACTION WITH A USER | Final Rejection | SAMSUNG ELECTRONICS CO., LTD. |
| 18520529 | MACHINE LEARNING MODEL FOR ANOMALY DETECTION IN DIGITAL ENVIRONMENTS | Non-Final OA | The Toronto-Dominion Bank |
| 18319680 | OPERATOR CALCULATION METHOD, APPARATUS, DEVICE, AND SYSTEM | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18459237 | METHOD AND APPARATUS FOR THE JOINT OPTIMIZATION OF A NEURAL NETWORK AND DEDICATED HARDWARE FOR THE NEURAL NETWORK | Non-Final OA | Robert Bosch GmbH |
| 18182660 | Fatigue Crack Growth Prediction | Final Rejection | General Electric Company |
| 18588910 | DIGITAL WATERMARKING OF MACHINE LEARNING MODELS | Non-Final OA | The Regents of the University of California |
| 18494302 | METHOD AND APPARATUS FOR NEURAL NETWORK AUGMENTED KALMAN FILTER FOR ACOUSTIC HOWLING SUPPRESSION | Non-Final OA | TENCENT AMERICA LLC |
| 17960710 | DATA PROCESSING APPARATUS AND DATA PROCESSING METHOD | Non-Final OA | Fujitsu Limited |
| 18435251 | GENERATIVE ADVERSARIAL NETWORKS-BASED METHOD FOR COMPONENT ANOMALY DETECTION AND DEVICE THEREOF | Non-Final OA | Delta Electronics, Inc. |
| 18374424 | GENERATIVE NEURAL APPLICATION ENGINE | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18476166 | MODELING EXPERTISE BASED ON UNSTRUCTURED EVIDENCE | Final Rejection | Microsoft Technology Licensing, LLC |
| 18142898 | Generative Future Predictions based on Complex Events | Final Rejection | Microsoft Technology Licensing, LLC |
| 18088428 | METHOD AND APPARATUS FOR LEARNING CONCEPT BASED FEW-SHOT | Final Rejection | ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE |
| 17891430 | INTELLIGENT WORKLOAD ROUTING FOR MICROSERVICES | Non-Final OA | International Business Machines Corporation |
| 17077759 | SYMBOLIC VALIDATION OF NEUROMORPHIC HARDWARE | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17997590 | GRAPH CONVOLUTIONAL REINFORCEMENT LEARNING WITH HETEROGENEOUS AGENT GROUPS | Non-Final OA | Siemens Corporation |
| 16254563 | TECHNIQUES FOR REMOVING MASKS FROM PRUNED NEURAL NETWORKS | Final Rejection | NVIDIA CORPORATION |
| 16153430 | REFINING LABELING OF TIME-ASSOCIATED DATA | Non-Final OA | NVIDIA Corporation |
| 17143498 | MEMORY SYSTEM TO TRAIN NEURAL NETWORKS | Non-Final OA | Micron Technology, Inc. |
| 16394111 | SECOND ORDER NEURON FOR MACHINE LEARNING | Final Rejection | Rensselaer Polytechnic Institute |
| 18439748 | TRAINING AND USING A NEURAL NETWORK FOR DEFECT DETECTION | Non-Final OA | Applied Materials Israel Ltd. |
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