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 …

A brain tumour is one of the major reasons for death in humans, and it is the tenth most
common type of tumour that affects people of all ages. However, if detected early, it is one of …

Abstract Deep Neural Networks (DNNs) are widely regarded as the most effective learning
tool for dealing with large datasets, and they have been successfully used in thousands of …

The ability to scale two-dimensional (2D) material thickness down to a single monolayer
presents a promising opportunity to realize high-speed energy-efficient memristors. Here …

In the past decade, a substantial increase in medical data from various sources, including
wearable sensors, medical imaging, personal health records, and public health …

In the modern-day era of technology, a paradigm shift has been witnessed in the areas
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …

Domain-specific neural network accelerators have seen growing interest in recent years due
to their improved energy efficiency and performance compared to CPUs and GPUs. In this …

Data generated from sources such as wearable sensors, medical imaging, personal health
records, and public health organizations have resulted in a massive information increase in …

In this work a novel architecture, named pseudo-softmax, to compute an approximated form
of the softmax function is presented. This architecture can be fruitfully used in the last layer of …