Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2100 2123 2124 2125 2127 2129 2145
This examiner grants 80% of resolved cases
Paulinho E. Smith is assigned to Tech Center 2100 and Art Unit 2100. The examiner has a record of 552 resolved cases and an allowance rate of 80.3 percent. This 80.3 percent rate indicates the frequency at which applications reach issuance under this examiner's review. The median days to allowance for these successful applications is 1180, providing a specific timeline for the prosecution cycle. This 1180-day period is a key factor for applicants to consider.
The interview lift is 9.5 percent, which represents an increase in the likelihood of allowance when an interview is conducted. This 9.5 percent lift suggests that verbal communication can be a tool for practitioners to move a case toward grant. When compared to the 80.3 percent baseline allowance rate, the lift indicates that interviews have a positive impact on outcomes. The 1180-day median pendency remains a factor for the 552 cases in the record.
With 552 cases resolved, the data offers a view of the examiner's tendencies. The median pendency of 1180 days is a metric for applicants to use when planning their strategy. The combination of an 80.3 percent allowance rate and a 9.5 percent interview lift suggests that the probability of success is positive. These figures allow for a data-driven approach to prosecution in Art Unit 2100.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18691081 | LEARNING DEVICE | Non-Final OA | NEC Corporation |
| 18303157 | COMMUNICATION METHOD, APPARATUS, AND SYSTEM | Final Rejection | HUAWEI TECHNOLOGIES CO., LTD. |
| 18113492 | REPARAMETERIZATION OF SELECTIVE NETWORKS FOR END-TO-END TRAINING | Final Rejection | Royal Bank of Canada |
| 17976655 | DEEP NEURAL NETWORK SLIMMING DEVICE AND OPERATING METHOD THEREOF | Final Rejection | ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE |
| 18391851 | REMARK PREDICTIONS | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18390014 | KNOWLEDGE-BASED MACHINE LEARNING SURROGATE MODELS | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17894640 | QUANTUM VARIATIONAL NETWORK CLASSIFIER | Non-Final OA | International Business Machines Corporation |
| 17948460 | METHOD FOR CALCULATING INTERACTION BETWEEN FEATURE AMOUNTS AND SYSTEM FOR CALCULATING INTERACTION BETWEEN FEATURE AMOUNTS | Final Rejection | Hitachi High-Tech Corporation |
| 17729348 | SELECTING A WINDOW TREATMENT FABRIC | Final Rejection | Lutron Technology Company LLC |
| 18535926 | ARTIFICIAL NEURAL NETWORK TRAINING USING EDGE DEVICES | Non-Final OA | Micron Technology, Inc. |
| 18521943 | DRIVING REPORT GENERATION USING A DEEP LEARNING DEVICE | Non-Final OA | Micron Technology, Inc. |
| 18520767 | OPTIMIZED REINFORCEMENT LEARNING FOR ARTIFICIAL INTELLIGENCE MODELS | Non-Final OA | SRI International |
| 17783981 | CONSTRUCTING AND OPERATING AN ARTIFICIAL RECURRENT NEURAL NETWORK | Non-Final OA | INAIT SA |
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