The field of machine learning is witnessing its golden era as deep learning slowly becomes
the leader in this domain. Deep learning uses multiple layers to represent the abstractions of …

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

As the emerging field of machine learning, deep learning shows excellent ability in solving
complex learning problems. However, the size of the networks becomes increasingly large …

Artificial intelligence (AI) and machine learning (ML) tools play a significant role in the recent
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …

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 …

The name edge intelligence, also known as Edge AI, is a recent term used in the past few
years to refer to the confluence of machine learning, or broadly speaking artificial …

Field Programmable Gate Array (FPGA) has become an efficient accelerator for
convolutional neural network (CNN) inference due to its high performance and flexibility. To …

Historically, FPGA designers have used integer processing whenever possible because
floating-point processing was prohibitively costly due to higher logic requirements and …

Scientific efforts have expanded in age-invariant face recognition (AIFR). Matching faces of
large age difference is, therefore, a problem, mostly because of a substantial disparity in the …

With the emerging big data applications of Machine Learning, Speech Recognition, Artificial
Intelligence, and DNA Sequencing in recent years, computer architecture research …