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03/07/2022
Innovating at Speed and at Scale: A Next Generation Infrastructure for Accelerating Semiconductor Technologies
Semiconductor innovation drives improvements to technologies that are cr...
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03/04/2022
Improving the Energy Efficiency and Robustness of tinyML Computer Vision using Log-Gradient Input Images
This paper studies the merits of applying log-gradient input images to c...
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09/08/2020
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology
The recent success of neural networks for solving difficult decision tal...
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02/25/2020
Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory
Batch Normalization (BatchNorm) is commonly used in Convolutional Neural...
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04/16/2018
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS
This paper introduces BinarEye: a digital processor for always-on Binary...
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03/03/2016