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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
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Monolithic Supply-Modulated RF Power Amplifier and DC-DC Power Converter IC
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Transformer-less Photovoltaic Inverter
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Design Automation of Radiation Hardened Mixed Single, Dual, and Triple Mode Redundant Digital Circuits
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Static and dynamic precision adaptation for hardware learning and classification
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Flexible and Efficient XNOR Circuit Architecture for Neural Network Based Deep Learning
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Dividerless Phase-Locked Loop with Sampled Lowpass Filtering
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Programmable In-Memory Computing Accelerator for Low-Precision Deep Neural Network Inference
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One-Cycle Reconfigurable In-Memory Logic for Non-Volatile Memory
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