Listed by the USPTO as ARDALE, HAYDEN YOUNG
Tech Center 2100 • Art Units: 2122
This examiner grants 0% of resolved cases
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18583291 | EFFICIENT ADAPTATION OF MACHINE LEARNING MODELS USING RANDOM MATRICES | Non-Final OA | QUALCOMM Technologies, Inc. |
| 18588345 | GENERATION OF USER-SPECIFIC ELECTRONIC PROMPTS FOR A COMPUTING-BASED PROCESS | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18777030 | DEVICE AND METHOD FOR TRAINING DEEP LEARNING MODEL THAT SUPPORTS MULTI-LEVEL MULTI-LENGTH LATENT VECTORS | Non-Final OA | KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your StrategyHayden Young Ardale examines applications in Art Unit 2122 in Tech Center 2100 (Computing & Software).
