Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2100 2141 4100
This examiner grants 47% of resolved cases
Examiner Humaira Zahin Mauni is positioned in Tech Center 4100 and Art Unit 2100. She has resolved 30 cases, resulting in an allowance rate of 46.7%. This figure suggests a selective examination process where just under half of the applications reach a grant. The median days to allowance for these successful cases is 1511, indicating a relatively long prosecution cycle.
The data shows an interview lift of 38.1%. This significant lift demonstrates that direct engagement with the examiner is a highly effective way to increase the chances of an allowance. Given the 46.7% base allowance rate, practitioners should prioritize interviews to resolve outstanding issues. The 1511-day median pendency provides a clear benchmark for timing expectations. Although the 30 resolved cases represent a smaller sample, the high interview lift offers a clear strategic direction for applicants.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17828464 | INFORMATION PROCESSING METHOD FOR TRAINING A PREDICTION MODEL INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING DEVICE | Non-Final OA | Panasonic Intellectual Property Corporation of America |
| 18663526 | WAVEFORM GENERATION IDENTIFYING METHOD AND COMPUTER-READABLE MEDIUM | Non-Final OA | RICOH COMPANY, LTD. |
| 18074166 | METHOD FOR TRAINING AN ARTIFICIAL NEURAL NETWORK COMPRISING QUANTIZED PARAMETERS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 17666400 | SPARSE ATTENTION NEURAL NETWORKS | Final Rejection | Google LLC |
| 17858475 | INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM | Final Rejection | CANON KABUSHIKI KAISHA |
| 18013759 | MACHINE LEARNING APPARATUS, MACHINE LEARNING METHOD AND COMPUTER-READABLE STORAGE MEDIUM | Final Rejection | NEC, Corporation |
| 17497736 | DEEP NEURAL NETWORK MODEL DESIGN ENHANCED BY REAL-TIME PROXY EVALUATION FEEDBACK | Non-Final OA | Intel Corporation |
| 17782551 | GENERATING SYNTHETIC PATIENT HEALTH DATA | Final Rejection | The Regents of the University of California |
| 17761072 | INFORMATION PROCESSING DEVICE FOR RE-LEARNING A MODEL BASED ON LEARNING DATA FROM A NEW ENVIRONMENT | Final Rejection | Sony Group Corporation |
| 18661925 | AUTOMATED GENERATION OF A DATASET OF QUESTION-ANSWER PAIRS FOR DOMAIN-SPECIFIC HALLUCINATION TESTING OF GENERATIVE LANGUAGE PROCESSING MACHINE LEARNING MODELS | Non-Final OA | INTUIT INC. |
| 18672778 | Graph Neural Network Hardware Accelerator | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18612169 | COMPILER-BASED DEEP LEARNING MODEL PRUNING APPARATUS AND METHOD | Non-Final OA | Electronics and Telecommunications Research Institute |
| 17742285 | AUTOMATED INTELLIGENCE FACILITATION OF ROUTING OPERATIONS | Non-Final OA | SAP SE |
| 18630074 | OPTIMIZING DEEP LEARNING RECOMMENDER MODEL DATA PIPELINES WITH REINFORCEMENT LEARNING | Non-Final OA | Netflix, Inc. |
| 18095302 | SYSTEM FOR IMPLEMENTING PREDICTIVE CONFIGURATION CHANGES BASED ON TRACKING APPLICATION USAGE PATTERNS | Final Rejection | BANK OF AMERICA CORPORATION |
| 18104118 | TECHNOLOGIES FOR IMPLICIT FEEDBACK USING MULTI-FACTOR BEHAVIOR MONITORING | Non-Final OA | Genesys Cloud Services, Inc. |
| 17668650 | SYSTEMS AND METHODS FOR TRANSDUCTIVE OUT-OF-DOMAIN LEARNING | Non-Final OA | NEBIUS B.V. |
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