Approximate Printed Machine Learning Classifiers
-
Updated
Apr 15, 2024 - Verilog
Approximate Printed Machine Learning Classifiers
ADAPT-pNC: A robustness-aware framework for printed neuromorphic circuits. This project integrates second-order learnable filters, data augmentation, and variation-aware training to enhance temporal data processing in IoT applications.
Add a description, image, and links to the printed-electronics topic page so that developers can more easily learn about it.
To associate your repository with the printed-electronics topic, visit your repo's landing page and select "manage topics."