Abstract Machine-learning techniques have recently been proved to be successful in various
domains, especially in emerging commercial applications. As a set of machine-learning …

Today's mobile consumer electronics devices, such as smartphones and tablets, are
required to execute a wide variety of applications efficiently. To this end modern application …

The availability of huge structured and unstructured data, advanced highly dense memory
and high performance computing machines have provided a strong push for the …

In recent years, artificial intelligence (AI) has been under rapid development, applied in
various areas. Among a vast number of neural network (NN) models, the convolutional …

Applications of neural networks in various fields of research and technology have expanded
widely in recent years. In particular, applications with inherent tolerance to accuracy loss …

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 …

Many companies are deploying services largely based on machine-learning algorithms for
sophisticated processing of large amounts of data, either for consumers or industry. The …

Deep neural networks (DNNs) have become an essential tool in artificial intelligence, with a
wide range of applications such as computer vision, medical diagnosis, security, robotics …

Abstract Machine learning (ML) and artificial intelligence (AI) technology are revolutionizing
many different fields of study in computer science as well as a wide range of industry sectors …

Implementations of machine learning models in resource-limited embedded systems are
becoming highly desired. This has led to a need for resource-efficient building blocks for …