Tech Center 4100 • Art Units: 2123 2124 2857 4100
This examiner grants 69% of resolved cases
Bart I Rylander is an examiner in Tech Center 4100 and Art Unit 2123. The examiner has 131 resolved cases. The allowance rate for these matters is 68.7%. This metric provides a baseline for the likelihood of securing a patent grant during prosecution. The 68.7% rate is a primary data point for evaluating the probability of success in this specific Art Unit.
The interview lift is 10.9%. This value measures the increase in the probability of allowance following an interview. A lift of 10.9% indicates that engaging in a direct dialogue with the examiner can be a productive strategy. Practitioners should weigh this 10.9% figure when deciding whether to request a formal interview for their 131 resolved cases.
The median days to allowance is 1430. This figure represents the typical time span from filing to the issuance of a patent. A median of 1430 days informs the scheduling and budget expectations for applicants. This 1430 days duration is a factor in the overall prosecution timeline.
In Tech Center 4100, the examiner's 68.7% allowance rate and 131 resolved cases define the current landscape. The interview lift serves as a tool for navigating the prosecution process toward a grant.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18413957 | METHOD AND APPARATUS FOR IMPROVED GENERATIVE AI MODELS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18514481 | SYSTEM AND METHOD FOR IDENTIFYING WHEN TO RETRAIN AN ARTIFICIAL INTELLIGENCE MODEL | Non-Final OA | JPMorgan Chase Bank, N.A. |
| 18390359 | RE-TRAINING A MACHINE LEARNING MODEL IN REAL-TIME USING A FAST ALGORITHM | Non-Final OA | INTUIT INC. |
| 18067871 | GENERATION OF DATA TRANSFORMATIONS USING FINGERPRINTS | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18064091 | NETWORK-LIGHTWEIGHT MODEL FOR MULTI DEEP-LEARNING TASKS | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 15907098 | SYSTEMS AND METHODS FOR IMAGE-TO-IMAGE TRANSLATION USING VARIATIONAL AUTOENCODERS | Non-Final OA | NVIDIA Corporation |
| 18427159 | METHOD AND APPARATUS FOR ALGORITHM TUNING BASED ON MACHINE LEARNING AND OPTIMIZATION | Non-Final OA | AT&T Intellectual Property I, L.P. |
| 18535491 | FINE-TUNING OF NEURAL NETWORKS | Non-Final OA | XILINX, INC. |
| 18604955 | SYSTEM AND METHOD FOR REDUCTION AND INTERPRETABILITY OF A CONTINUOUS ACTION PROBABILITY TREE | Non-Final OA | GM Global Technology Operations LLC |
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