Prosecution Insights
Prosecution Insights
Tech Center 2800 • Art Units: 2121 2125 2872
This examiner grants 26% of resolved cases
Tirumale K Ramesh handles cases in Tech Center 2800 and Art Unit 2121. The data shows a total of 49 resolved cases. The allowance rate stands at 26.5 percent, indicating the probability of applications reaching a grant. Furthermore, the median days to allowance is 1730, suggesting that successful applications face a specific duration before reaching a final grant. This 1730-day timeline is a key consideration for applicants in this unit.
Despite the 26.5 percent allowance rate, the interview lift of 23.7 percent offers a potential tactical advantage. Engaging in an interview may improve the baseline probability of success. Practitioners should prepare for a long-term engagement, as the 1730-day median timeline requires persistence. The 23.7 percent lift suggests that verbal communication is a productive use of resources for the 49 resolved cases. Applicants can use these figures to set expectations for prosecution in Art Unit 2121.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18458209 | LEARNING APPARATUS, METHOD, NON-TRANSITORY COMPUTER READABLE MEDIUM AND INFERENCE APPARATUS | Final Rejection | KABUSHIKI KAISHA TOSHIBA |
| 18172460 | METHOD AND SYSTEM FOR TIME SERIES FORECASTING VIA ENSEMBLE MACHINE LEARNING | Final Rejection | Verizon Patent and Licensing Inc. |
| 18295791 | NEURAL NETWORK LAYER FOR NON-LINEAR NORMALIZATION | Final Rejection | Robert Bosch GmbH |
| 17625041 | DEVICE AND COMPUTER-IMPLEMENTED METHOD FOR THE PROCESSING OF DIGITAL SENSOR DATA AND TRAINING METHOD THEREFOR | Non-Final OA | Robert Bosch GmbH |
| 18746109 | MACHINE LEARNING APPARATUS, MACHINE LEARNING METHOD, AND COMPUTER READABLE NON-TRANSITORY RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM | Non-Final OA | JVCKENWOOD Corporation |
| 18285578 | FULL-STACK HARDWARE ACCELERATOR SEARCH | Non-Final OA | Google LLC |
| 16953387 | MACHINE LEARNING BASED IMAGING METHOD OF DETERMINING AUTHENTICITY OF A CONSUMER GOOD | Final Rejection | The Procter & Gamble Company |
| 17129590 | NEURAL NETWORK DENSE LAYER SPARSIFICATION AND MATRIX COMPRESSION | Final Rejection | Intel Corporation |
| 18613095 | PROMPT SESSION OPTIMIZATION | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17159730 | QUANTUM PROCESSOR ARCHITECTURE WITH COMPILER SUPPORT | Non-Final OA | International Business Machines Corporation |
| 17248845 | ASSISTED LEARNING WITH MODULE PRIVACY | Final Rejection | Regents of the University of Minnesota |
| 18620125 | ADVERSARIAL IMITATION LEARNING MODEL | Non-Final OA | NEC Laboratories America, Inc. |
| 17166965 | HYBRID PHYSICS/MACHINE LEARNING MODELING OF PROCESSES | Non-Final OA | Applied Materials, Inc. |
| 17721372 | MACHINE LEARNING DATA GENERATION DEVICE, MACHINE LEARNING DEVICE, AND MACHINE LEARNING DATA GENERATION METHOD | Non-Final OA | Kabushiki Kaisha Yaskawa Denki |
| 17751089 | Automated Selection of Neural Architecture Using a Smoothed Super-Net | Final Rejection | Arm Limited |
| 17135249 | AUTOMATICALLY GENERATING CONDITIONAL INSTRUCTIONS FOR RESOLVING PREDICTED SYSTEM ISSUES USING MACHINE LEARNING TECHNIQUES | Non-Final OA | Dell Products L.P. |
| 18140856 | SYSTEMS AND METHODS FOR QUANTUM SIMULATION WITH ANALOG COMPILATION | Final Rejection | University of Maryland, College Park |
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