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BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS., , , , и . CICC, стр. 1-4. IEEE, (2018)SRAM voltage scaling for energy-efficient convolutional neural networks., и . ISQED, стр. 7-12. IEEE, (2017)11.2 A 3D integrated Prototype System-on-Chip for Augmented Reality Applications Using Face-to-Face Wafer Bonded 7nm Logic at <2μm Pitch with up to 40% Energy Reduction at Iso-Area Footprint., , , , , , , , , и 3 other автор(ы). ISSCC, стр. 210-212. IEEE, (2024)Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point., , , , , , , , , и 14 other автор(ы). NeurIPS, (2020)Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor., , , , и . ISCAS, стр. 1-5. IEEE, (2018)Three-Dimensional Stacked Neural Network Accelerator Architectures for AR/VR Applications., , , , , , , , и . IEEE Micro, 42 (6): 116-124 (2022)TRIG: hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs., , , , , , , , , и 2 other автор(ы). DAC, стр. 74:1-74:10. ACM, (2018)Mixed-signal circuits for embedded machine-learning applications., , , , и . ACSSC, стр. 1341-1345. IEEE, (2015)An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS., , , , и . IEEE J. Solid State Circuits, 54 (1): 158-172 (2019)An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS., , , , и . ISSCC, стр. 222-224. IEEE, (2018)