Prosecution Insights
Prosecution Insights
Tech Center 3700 • Art Units: 2141 2148 2611 3791
This examiner grants 61% of resolved cases
Matiyas T. Maru has resolved 59 cases in Art Unit 2141, resulting in an allowance rate of 61.0%. This rate provides a baseline for applicants working within Tech Center 3700. The prosecution process under this examiner is notably long, with a median days to allowance of 1513. This 1513-day timeline suggests that practitioners should prepare their clients for a multi-year engagement. With 59 resolved cases, the data provides a moderate sample of examiner behavior.
The interview lift is 5.9%, indicating a slight benefit to engaging in direct communication. While the 5.9% lift is positive, it is a relatively small increase over the 61.0% baseline. Practitioners can use these metrics to set realistic expectations for both the probability of success and the time required to reach a resolution. Strategy should focus on early resolution to avoid the extended 1513-day path.
In Art Unit 2141, the 61.0% allowance rate is the primary benchmark for success. The 1513-day median pendency is one of the longer durations observed in Tech Center 3700. Direct interviews, while offering a 5.9% lift, may be part of a broader effort to expedite the process. Applicants should weigh the 1513-day timeline against the moderate probability of allowance when deciding on prosecution tactics.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18050699 | SEMICONDUCTOR DEVICE, METHOD OF OPERATING SEMICONDUCTOR DEVICE, AND SEMICONDUCTOR SYSTEM | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 17710863 | SYSTEMS AND METHODS FOR MACHINE LEARNING OPTIMIZATION | Non-Final OA | MASTERCARD INTERNATIONAL INCORPORATED |
| 17386452 | SYSTEMS AND METHODS TO DEFINE THE CARD MEMBER VALUE FROM AN ISSUER PERSPECTIVE | Non-Final OA | MASTERCARD INTERNATIONAL INCORPORATED |
| 18631364 | TRAINING A NEURAL NETWORK SYSTEM TO PREDICT THE BEHAVIOR OF INTERACTING AGENTS | Non-Final OA | Robert Bosch GmbH |
| 18419827 | Method for Generating a Training Dataset, Method for Training an Artificial Intelligence Means, Artificial Intelligence Means, and Hand-Held Power Tool | Non-Final OA | Robert Bosch GmbH |
| 18710150 | CAUSAL REPRESENTATION LEARNING FOR INSTANTANEOUS TEMPORAL EFFECTS | Non-Final OA | QUALCOMM TECHNOLOGIES, INC. |
| 17544598 | SYSTEM AND METHOD FOR PRUNING FILTERS IN DEEP NEURAL NETWORKS | Non-Final OA | Intel Corporation |
| 18664125 | Measuring The Efficacy Of Large Language Models On Classification Tasks | Non-Final OA | Oracle International Corporation |
| 18102411 | Knowledge Transfer | Non-Final OA | Fujitsu Limited |
| 18013237 | LEARNING METHOD, LEARNING APPARATUS AND PROGRAM | Non-Final OA | NTT, Inc. |
| 18042439 | TRAINING A NEURAL NETWORK USING CONTRASTIVE SAMPLES FOR MACRO PLACEMENT | Final Rejection | MediaTek Inc. |
| 18439217 | TRUST BASED FEDERATED LEARNING | Non-Final OA | Micron Technology, Inc. |
| 18393536 | MAPPING NEURAL NETWORKS TO HARDWARE | Non-Final OA | Imagination Technologies Limited |
| 18620292 | METHOD TO ENCODE SET BY PRIME NUMBER TO ENCODE SET IN FIXED DIMENSION AND PARALLELLY CALCULATED BY GPU | Non-Final OA | Advanced Micro Devices, Inc. |
| 18564918 | PREDICTION SYSTEM, INFORMATION PROCESSING DEVICE, AND NON-TRANSITORY INFORMATION RECORDING MEDIUM WITH COMPUTER-READABLE INFORMATION PROCESSING PROGRAM RECORDED THEREON | Non-Final OA | OMRON Corporation |
| 18750783 | TECHNIQUES FOR ENABLING CONVERSATIONAL USER INTERFACES FOR SIMULATION APPLICATIONS VIA LANGUAGE MODELS | Non-Final OA | AUTODESK, INC. |
| 18585166 | DEVICE AND METHOD FOR GENERATION OF DIVERSE QUESTION-ANSWER PAIR | Non-Final OA | KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
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