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.
An English LaTeX review of micro/nanoscale additive manufacturing—from photopolymerization and functional materials to metal AM, AI-enabled design, industrialization, and deep-tech diligence.
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