BACKGROUND Improvements in computing power can claim a large share of the credit for
many of the things that we take for granted in our modern lives: cellphones that are more …

Due to recent advances in digital technologies, and availability of credible data, an area of
artificial intelligence, deep learning, has emerged and has demonstrated its ability and …

Given recent algorithm, software, and hardware innovation, computing has enabled a
plethora of new applications. As computing becomes increasingly ubiquitous, however, so …

Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning
(DL) is already present in many applications ranging from computer vision for medicine to …

Deep convolutional neural networks (CNNs) are widely used in modern AI systems for their
superior accuracy but at the cost of high computational complexity. The complexity comes …

Neural networks (NNs) have been demonstrated to be useful in a broad range of
applications such as image recognition, automatic translation and advertisement …

Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based
services. Energy consumption models are pivotal in designing and optimizing energy …

In recent years, neural network accelerators have been shown to achieve both high energy
efficiency and high performance for a broad application scope within the important category …

Many companies are deploying services, either for consumers or industry, which are largely
based on machine-learning algorithms for sophisticated processing of large amounts of …

Machine-Learning tasks are becoming pervasive in a broad range of domains, and in a
broad range of systems (from embedded systems to data centers). At the same time, a small …