Listed by the USPTO as LAU, KAITLYN RENEE
Tech Center 4100 • Art Units: 2148 2159 4100
This examiner grants 60% of resolved cases
LAU, KAITLYN RENEE is assigned to Tech Center 4100 and art unit 2148. The profile includes 10 resolved cases and an allowance rate of 60.0%. The median time to allowance is 1453 days. Interviews correspond to a 66.7% lift in the allowance rate. The limited case volume makes the figures directional, but the interview measure supports careful consideration of direct examiner engagement.
The listed companies are Samsung Electronics Co., Ltd., Google LLC, and Microsoft Technology Licensing, LLC. The listed firms are Harrity & Harrity, LLP, VENABLE LLP, and BIRCH STEWART KOLASCH & BIRCH, LLP. These appearances can help practitioners identify counsel with experience in the docket and review related prosecution histories. Strategy should remain grounded in the claims, cited art, and procedural posture of the individual application.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17908308 | SYNTHETIC DATA GENERATION IN FEDERATED LEARNING SYSTEMS | Final Rejection | Telefonaktiebolaget LM Ericsson (publ) |
| 18429821 | HETEROGENEOUS PRODUCT AUTOENCODERS FOR CHANNEL-ADAPTIVE NEURAL CODES OF LARGE DIMENSIONS | Non-Final OA | Samsung Electronics Co., Ltd. |
| 18355619 | METHOD AND APPARATUS WITH MODEL TRAINING | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 18405514 | OBJECTION DETECTION ENCODER TRAINING USING FOUNDATION MODELS | Non-Final OA | Robert Bosch GmbH |
| 19358980 | ATTENTION NEURAL NETWORKS WITH CONDITIONAL COMPUTATION | Non-Final OA | Google LLC |
| 18173985 | Complementary Prompting For Rehearsal-Free Continual Learning | Non-Final OA | Google LLC |
| 18009841 | ATTENTION NEURAL NETWORKS WITH CONDITIONAL COMPUTATION | Non-Final OA | Google LLC |
| 17575415 | METHODS AND APPARATUS TO IMPLEMENT A RANDOM FOREST | Non-Final OA | General Electric Company |
| 18038211 | PROCESSING METHOD, PROCESSING SYSTEM, AND PROCESSING PROGRAM | Final Rejection | NTT. Inc. |
| 18380155 | Memory-Efficient Execution of a Machine-Trained Model using Sparsification | Final Rejection | Microsoft Technology Licensing, LLC |
| 18046013 | SPATIO-TEMPORAL GRAPH NEURAL NETWORK FOR TIME SERIES PREDICTION | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18080569 | SERVING DISTRIBUTED INFERENCE DEEP LEARNING (DL) MODELS IN SERVERLESS COMPUTING | Non-Final OA | Meta Platforms, Inc. |
| 18443568 | LEARNING-BASED QUANTUM EXPERIMENTAL SETUP SELECTION | Non-Final OA | International Business Machines Corporation |
| 17380738 | CLASSIFICATION OF MOUSE DYNAMICS DATA USING UNIFORM RESOURCE LOCATOR CATEGORY MAPPING | Final Rejection | International Business Machines Corporation |
| 17497507 | NEURAL NETWORK DATA REPLACEMENT | Non-Final OA | Nvidia Corporation |
| 18066005 | ARTIFICIAL INTELLIGENCE SYSTEM FOR INTEGRITY OPERATING WINDOW OPTIMIZATION | Non-Final OA | HONEYWELL INTERNATIONAL INC. |
| 18098397 | SYSTEMS AND METHODS FOR INTEGRATION OF MACHINE LEARNING MODELS WITH CLIENT APPLICATIONS | Non-Final OA | FMR LLC |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy60.0% of resolved applications examined by Kaitlyn Renee Lau were allowed (10 resolved cases), compared with 75.7% across Art Unit 2148 over the last five years.
This examiner's interview lift is +66.7 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Kaitlyn Renee Lau took 1,453 days on average from filing to allowance.
Kaitlyn Renee Lau examines applications in Art Unit 2148 in Tech Center 4100.
