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Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited).

, , , , , , , , , , , and . ISCAS, page 1-5. IEEE, (2021)

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Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices., , , , , , , , , and 1 other author(s). Frontiers Comput. Neurosci., (2021)Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited)., , , , , , , , , and 15 other author(s). VLSI Technology and Circuits, page 1-2. IEEE, (2023)Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges., , , , , , , , , and . IRPS, page 1-10. IEEE, (2020)4-Bit Quantization of LSTM-Based Speech Recognition Models., , , , , , , , , and 2 other author(s). Interspeech, page 2586-2590. ISCA, (2021)Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators., , , , , , , , , and 3 other author(s). CoRR, (2023)Sputtering of Metal Oxide Semiconductor n-p Stacks., , , , and . ISOEN, page 1-3. IEEE, (2019)Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited)., , , , , , , , , and 2 other author(s). ISCAS, page 1-5. IEEE, (2021)Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers., , , , , , , , , and 6 other author(s). ISCAS, page 3319-3323. IEEE, (2022)Accelerating Deep Neural Networks with Analog Memory Devices., , , , , , , , and . AICAS, page 149-152. IEEE, (2020)Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization., , , , , , , and . INTERSPEECH, page 2038-2042. ISCA, (2022)