The field of computer vision is experiencing a great-leap-forward development today. This
paper aims at providing a comprehensive survey of the recent progress on computer vision …

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 …

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 …

Interactive AI-powered services require low-latency evaluation of deep neural network
(DNN) models-aka"" real-time AI"". The growing demand for computationally expensive …

This paper presents Timeloop, an infrastructure for evaluating and exploring the architecture
design space of deep neural network (DNN) accelerators. Timeloop uses a concise and …

Convolutional Neural Networks have rapidly become the most successful machine-learning
algorithm, enabling ubiquitous machine vision and intelligent decisions on even embedded …

Deep convolutional neural networks (CNNs) have recently shown very high accuracy in a
wide range of cognitive tasks, and due to this, they have received significant interest from the …

Deep neural networks (DNN) have demonstrated highly promising results across computer
vision and speech recognition, and are becoming foundational for ubiquitous AI. The …

Advances in multicore processors and accelerators have opened the flood gates to greater
exploration and application of machine learning techniques to a variety of applications …

With the recent advancement of multilayer convolutional neural networks (CNNs) and fully
connected networks (FCNs), deep learning has achieved amazing success in many areas …