Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted
in breakthroughs in many areas. However, deploying these highly accurate models for data …

Embedded systems technology is undergoing a phase of transformation owing to the novel
advancements in computer architecture and the breakthroughs in machine learning …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

Deep learning shows great promise in providing more intelligence to augmented reality (AR)
devices, but few AR apps use deep learning due to lack of infrastructure support. Deep …

The rapid emergence of head-mounted devices such as the Microsoft Holo-lens enables a
wide variety of continuous vision applications. Such applications often adopt deep-learning …

Recent years have witnessed an exponential increase in the use of mobile and embedded
devices. With the great success of deep learning in many fields, there is an emerging trend …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …

Internet of Things edge intelligence requires convolutional neural network (CNN) inference
to take place in the edge devices itself. ARM big. LITTLE architecture is at the heart of …

Deep Learning (DL) has become a crucial technology for multimedia computing. It offers a
powerful instrument to automatically produce high-level abstractions of complex multimedia …

Wearable devices with built-in cameras present interesting opportunities for users to capture
various aspects of their daily life and are potentially also useful in supporting users with low …