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Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection

Circuits

Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection

Monolithic Supply-Modulated RF Power Amplifier and DC-DC Power Converter IC

Transformer-less Photovoltaic Inverter

Design Automation of Radiation Hardened Mixed Single, Dual, and Triple Mode Redundant Digital Circuits

Static and dynamic precision adaptation for hardware learning and classification

Flexible and Efficient XNOR Circuit Architecture for Neural Network Based Deep Learning

Dividerless Phase-Locked Loop with Sampled Lowpass Filtering

Programmable In-Memory Computing Accelerator for Low-Precision Deep Neural Network Inference

One-Cycle Reconfigurable In-Memory Logic for Non-Volatile Memory

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