Listed by the USPTO as CHUANG, SU-TING
Tech Center 2600 • Art Units: 2122 2125 2146 2625
This examiner grants 51% of resolved cases
CHUANG, SU-TING has resolved 113 cases in Tech Center 2600 and Art Unit 2122. The allowance rate is 51.3%, while the median time to allowance is 1651 days. The available record is limited, and its outcomes are close to evenly divided between allowance and non-allowance, with a lengthy median path to allowance.
The interview lift is 39.4%, indicating a strong measured association with interviews in this profile. The leading companies are Microsoft Technology Licensing, LLC, International Business Machines Corporation, and NVIDIA Corporation. The leading firms are CHIP LAW GROUP, Crowell, and KHMRG (NVIDIA). Counsel may consider interviews early, while preserving alternatives for claim scope because the allowance result is not consistently favorable.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18285307 | PREDICTION MODEL GENERATION APPARATUS, PREDICTION MODEL GENERATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM | Non-Final OA | NEC Corporation |
| 17337376 | STABLE AND EFFICIENT TRAINING OF ADVERSARIAL MODELS BY AN ITERATED UPDATE OPERATION OF SECOND ORDER OR HIGHER | Non-Final OA | GDM Holding LLC |
| 18518925 | OPTIMIZING PLACEMENT OF FINE-TUNED MACHINE LEARNING MODELS AT HOST SYSTEMS | Non-Final OA | Amazon Technologies, Inc. |
| 18213061 | GENERATIVE ARTIFICIAL INTELLIGENCE FOR EMBEDDINGS USED AS INPUTS TO MACHINE LEARNING MODELS | Final Rejection | Microsoft Technology Licensing LLC |
| 18318436 | SPARSE ENCODING AND DECODING AT MIXTURE-OF-EXPERTS LAYER | Final Rejection | Microsoft Technology Licensing, LLC |
| 18143430 | LEARNING GRAPH REPRESENTATIONS USING HIERARCHICAL TRANSFORMERS FOR CONTENT RECOMMENDATION | Final Rejection | Microsoft Technology Licensing, LLC |
| 18346198 | ESTIMATING GRANGER-CAUSAL RELATIONSHIP AMONG EVENT INSTANCES | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18331362 | DETERMINING VARIABLE INPUT VALUES CORRESPONDING TO A KNOWN OUTPUT VALUE USING NEURAL NETWORKS | Non-Final OA | International Business Machines Corporation |
| 18243348 | NEURAL NETWORK PROMPT TUNING | Final Rejection | NVIDIA Corporation |
| 17190724 | SELECTING A NEURAL NETWORK BASED ON AN AMOUNT OF MEMORY | Non-Final OA | NVIDIA Corporation |
| 17968174 | PROCESS FOR DETECTION OF EVENTS OR ELEMENTS IN PHYSICAL SIGNALS BY IMPLEMENTING AN ARTIFICIAL NEURON NETWORK | Final Rejection | STMicroelectronics (Rousset) SAS |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy51.3% of resolved applications examined by Su-Ting Chuang were allowed (113 resolved cases), compared with 31.6% across Art Unit 2122 over the last five years.
This examiner's interview lift is +39.4 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Su-Ting Chuang took 1,651 days on average from filing to allowance.
Su-Ting Chuang examines applications in Art Unit 2122 in Tech Center 2600 (Communications).
