Tech Center 2100 • Art Units: 2129 2146 2147
This examiner grants 47% of resolved cases
Skylar K. Vanwormer serves in Tech Center 2100 and Art Unit 2129, having completed 32 resolved cases. His allowance rate is 46.9%, which suggests a challenging examination process for applicants. This 46.9% rate serves as a baseline for assessing the likelihood of a grant in this specific art unit. The 32 cases resolved by this examiner offer a preliminary look at his typical prosecution outcomes.
The median days to allowance for this examiner is 1540, reflecting a very long duration for the patent process. However, the data shows an interview lift of 28.1%, which provides a significant boost to the probability of success. This positive lift suggests that direct communication can be a very effective tool for resolving outstanding issues. The 1540-day median pendency is an important figure for practitioners to communicate to their clients when setting expectations.
Strategically, the 28.1% interview lift should be considered a primary option for overcoming rejections in Art Unit 2129. While the 46.9% allowance rate shows that success is achievable, the 1540-day median suggests that the process requires steady advocacy. With 32 cases resolved, the examiner's tendencies are becoming clearer, allowing for more informed planning. Applicants should utilize interviews to supplement written responses and potentially improve the odds of a grant.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17446660 | DEVICE AND METHOD OF TRAINING A GENERATIVE NEURAL NETWORK | Final Rejection | Robert Bosch GmbH |
| 18015520 | FEDERATED LEARNING FOR DEEP NEURAL NETWORKS IN A WIRELESS COMMUNICATION SYSTEM | Final Rejection | Google LLC |
| 18617302 | SYSTEM TO PROVIDE MONTE CARLO AS A SERVICE | Non-Final OA | Intel Corporation |
| 18468418 | CHARACTERIZING NOISY NON-CLIFFORD GATES THROUGH PARTIAL PAULI TWIRLING OR THROUGH ALTERNATING PAULI TWIRLING | Non-Final OA | International Business Machines Corporation |
| 18344487 | GENERATING PROGRAM BINARIES FOR A TRANSFORMER TO PROCESS SEQUENCE CONCATENATIONS HAVING DIFFERENT INPUT LENGTHS | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17503210 | TECHNIQUES FOR INFERRING INFORMATION | Non-Final OA | NVIDIA Corporation |
| 18616906 | REDUCING COMPUTATION COMPLEXITY AND INCREASING POWER EFFICIENCY IN MULTI-VARIANT INFERENCE MODELS | Non-Final OA | DELL PRODUCTS L.P. |
| 17368470 | NEURAL NETWORK OPERATION APPARATUS AND QUANTIZATION METHOD | Final Rejection | UNIST(ULSAN NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY) |
| 18613006 | METHOD FOR BUILDING BLOCKCHAIN-BASED SECURE AGGREGATION IN FEDERATED LEARNING WITH DATA REMOVAL | Non-Final OA | Jinan University |
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