Approximate computing trades off computation quality with effort expended, and as rising
performance demands confront plateauing resource budgets, approximate computing has …

With the increasing popularity of the Internet of Things and massive Machine Type
Communication technologies, the number of connected devices is rising. However, although …

Processing-in-memory (PIM) is a promising solution to address the" memory wall"
challenges for future computer systems. Prior proposed PIM architectures put additional …

The boom in the capabilities and features of mobile devices, like smartphones, tablets, and
wearables, combined with the ubiquitous and affordable Internet access and the advances …

An ever-increasing number of computer vision and image/video processing challenges are
being approached using deep convolutional neural networks, obtaining state-of-the-art …

Abstract Deep Neural Networks (DNNs) are compute-intensive learning models with
growing applicability in a wide range of domains. Due to their computational complexity …

A growing number of commercial and enterprise systems increasingly rely on compute-
intensive Machine Learning (ML) algorithms. While the demand for these compute-intensive …

Specialized image processing accelerators are necessary to deliver the performance and
energy efficiency required by important applications in computer vision, computational …

Recent advancements in hardware and software systems have been driven by the
deployment of emerging smart health and mobility applications. These developments have …

Advanced computing systems have long been enablers for breakthroughs in artificial
intelligence (AI) and machine learning (ML) algorithms, either through sheer computational …