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An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications.

, , , , , , and . IEEE Trans. Biomed. Circuits Syst., 9 (6): 838-848 (2015)

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14.1 A 126.1mW real-time natural UI/UX processor with embedded deep-learning core for low-power smart glasses., , , , , and . ISSCC, page 254-255. IEEE, (2016)An 8.3mW 1.6Msamples/s multi-modal event-driven speech enhancement processor for robust speech recognition in smart glasses., , , and . ESSCIRC, page 117-120. IEEE, (2016)An Impedance and Multi-Wavelength Near-Infrared Spectroscopy IC for Non-Invasive Blood Glucose Estimation., , , , and . IEEE J. Solid State Circuits, 50 (4): 1025-1037 (2015)An Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel MIMD Architecture for Big Data Applications., , , , , , and . IEEE Trans. Biomed. Circuits Syst., 9 (6): 838-848 (2015)An Augmented Reality Processor with a Congestion-Aware Network-on-Chip Scheduler., , , , , , , and . IEEE Micro, 34 (6): 31-41 (2014)A 3.13nJ/sample energy-efficient speech extraction processor for robust speech recognition in mobile head-mounted display systems., , , and . ISCAS, page 1790-1793. IEEE, (2015)A 2.71 nJ/Pixel Gaze-Activated Object Recognition System for Low-Power Mobile Smart Glasses., , , , , , and . IEEE J. Solid State Circuits, 51 (1): 45-55 (2016)10.4 A 1.22TOPS and 1.52mW/MHz augmented reality multi-core processor with neural network NoC for HMD applications., , , , , , , , , and . ISSCC, page 182-183. IEEE, (2014)4.6 A1.93TOPS/W scalable deep learning/inference processor with tetra-parallel MIMD architecture for big-data applications., , , , , and . ISSCC, page 1-3. IEEE, (2015)18.1 A 2.71nJ/pixel 3D-stacked gaze-activated object-recognition system for low-power mobile HMD applications., , , , , , and . ISSCC, page 1-3. IEEE, (2015)