Tech Center 2100 • Art Units: 2121 2151
This examiner grants 50% of resolved cases
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18047998 | ARTIFICIAL INTELLIGENCE APPARATUS BASED ON ESS AND METHOD FOR CLUSTERING ENERGY PREDICTION MODELS THEREOF | Non-Final OA | LG ELECTRONICS INC. |
| 18119221 | METHOD AND SYSTEM FOR TRAINING A NEURAL NETWORK MODEL USING GRADUAL KNOWLEDGE DISTILLATION | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18129726 | MACHINE LEARNING INSTANCING | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17669301 | NEURAL NETWORK PROCESSING | Non-Final OA | Arm Limited |
| 17967975 | AUTOMATED ANNOTATION OF DATA FOR MODEL TRAINING | Final Rejection | SAP SE |
| 18147314 | DYNAMIC CHUNK SIZE FOR OPTIMAL BATCH PROCESSING | Final Rejection | Salesforce, Inc. |
| 17953753 | SYSTEMS AND METHODS FOR FEDERATED LEARNING WITH HETEROGENEOUS CLIENTS VIA DATA-FREE KNOWLEDGE DISTILLATION | Final Rejection | Toyota Motor Engineering & Manufacturing North America, Inc. |
| 18316983 | SYSTEMS AND METHODS FOR EXTRACTING MEANINGFUL PHRASES AND A CRUX OF A CONVERSATION FROM TEXT DATA | Non-Final OA | Verizon Patent and Licensing Inc |
| 18216194 | Confronting Domain Shift in Trained Neural Networks | Non-Final OA | National Technology & Engineering Solutions of Sandia, LLC |
| 17678443 | UNSUPERVISED CLUSTERED EXPLANATION-BASED FEATURE SELECTION USING TRANSFER LEARNING FOR LOW FRAUD SCENARIO | Final Rejection | Actimize LTD. |
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