Tech Center 2100 • Art Units: 2122 2147
This examiner grants 11% of resolved cases
RAHMAN, IBRAHIM is an examiner in Tech Center 2100 and Art Unit 2122. The examiner has 18 resolved cases. The allowance rate for these cases is 11.1 percent. Practitioners should use this information when advising clients on the likelihood of a patent grant. The volume of dispositions provides a basis for statistical analysis of the examiner's record. This percentage informs the expectations for an outcome during the prosecution process.
The median days to allowance is 1481. This timeline represents the duration from filing to a grant. The pendency figure is a factor for managing portfolio expectations and planning filings. Applicants should prepare for the prosecution process by considering this time requirement. The duration of the examination is a component of the experience in Tech Center 2100.
The interview lift is 5.2 percent. This figure indicates the correlation between an interview and an allowance. Engaging in dialogue with the examiner is a factor to consider for applicants in Art Unit 2122. The impact of interviews is a metric for this docket. This 5.2 percent lift is a data point for strategy development. These statistics offer a view of the examiner's performance and tendencies. This analysis provides a baseline for expectations during the patent examination process.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17552501 | NEURAL NETWORK MODEL QUANTIZATION METHOD AND APPARATUS | Final Rejection | SAMSUNG ELECTRONICS CO., LTD. |
| 17563411 | KNOWLEDGE GRAPH EMBEDDING REPRESENTATION METHOD, AND RELATED DEVICE | Final Rejection | HUAWEI TECHNOLOGIES CO., LTD. |
| 17789715 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD FOR EVALUTING BEHAVIOURS FROM MULTIPLE VIEWPOINTS TO DETERMINE BEHAVIOR EXECUTION | Non-Final OA | SONY GROUP CORPORATION |
| 18621366 | ENHANCING ANOMALY DETECTION SYSTEMS THROUGH INTELLIGENT MANAGEMENT OF FEEDBACK AND MODEL RETRAINING | Non-Final OA | Oracle International Corporation |
| 17696685 | GRAPH RECOMMENDATIONS FOR OPTIMAL MODEL CONFIGURATIONS | Non-Final OA | Oracle International Corporation |
| 18680221 | DETERMINING AND PERFORMING OPTIMAL ACTIONS ON SYSTEMS | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17688409 | DEEP NEURAL NETWORK FOR INGESTED JOB LISTINGS | Final Rejection | Microsoft Technology Licensing, LLC |
| 17367598 | AUTOMATICALLY STRUCTURING USER INTERACTION TRAILS FOR KNOWLEDGE EXPANSION IN A KNOWLEDGE GRAPH | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18345154 | CIRCUIT CUTTING FOR QUANTUM SIMULATION WITH RESOURCE USAGE PREDICTION | Final Rejection | Dell Products L.P. |
| 17336573 | METHOD OF GENERATING SOLUTIONS FOR COMPLEX BUSINESS PROBLEMS INVOLVING GROUPS OF EQUIPMENT AND PERSONNEL USING AN ARTIFICIAL INTELLIGENCE MODEL | Non-Final OA | AT&T Mobility II LLC |
| 17553239 | EDGE DEVICE HAVING A HETEROGENOUS NEUROMORPHIC COMPUTING ARCHITECTURE | Final Rejection | SRI International |
| 17960221 | COMPUTER-CONTROLLED PROCESSING USING NEURAL NETWORK-BASED SELECTION OF OPTIMUM PROCESS ALGORITHM | Non-Final OA | II-VI Delaware, Inc. |
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