There is a wide range of interdisciplinary intersections between cyber security and artificial
intelligence (AI). On one hand, AI technologies, such as deep learning, can be introduced …

Neural networks, one of the key artificial intelligence technologies today, have the
computational power and learning ability similar to the brain. However, implementation of …

With the rapid development of Internet of things devices and network infrastructure, there
have been a lot of sensors adopted in the industrial productions, resulting in a large size of …

An energy-efficient deep neural network (DNN) accelerator, unified neural processing unit
(UNPU), is proposed for mobile deep learning applications. The UNPU can support both …

In this article, we address the problem of recognizing an event from a single related picture.
Given the large number of event classes and the limited information contained in a single …

The ever-increasing number of Internet of Things (IoT) devices has created a new computing
paradigm, called edge computing, where most of the computations are performed at the …

As one of the most striking research hotspots in both academia and industry, Internet of
Things (IoT) has been constantly changing our daily life by joining together nearly all we can …

The diffusion of codes is an important processing technology for big data networks. In
previous scheme, data analysis was conducted for small samples of big data and complex …

An Adaptive Transmission Range Based Topology Control (ATRTC) scheme is proposed to
reduce delay and improve reliability for data collection in delay and loss sensitive wireless …

With the explosive growth of the Internet of Things, the gap between the rapidly growing
demands of data rates and the existing bandwidth-limited network infrastructures has …