You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

We propose a new research framework by which the nascent discipline of human-AI
teaming can be explored within experimental environments in preparation for transferal to …

Abstract Unmanned Aerial Vehicle (UAV) has emerged as a promising technology for the
support of human activities, such as target tracking, disaster rescue, and surveillance …

Deep learning, a derived from machine learning, has grown into widespread usage with
applications as diverse as cancer detection, elephant spotting, and game development. The …

In recent years, researchers have achieved great success in applying Deep Reinforcement
Learning (DRL) algorithms to Real-time Strategy (RTS) games, creating strong autonomous …

Nowadays the 'Artificial Intelligence (AI)'research phenomena is exponentially growing due
to its immense applications in all disciplines. That is why all the business corporates are in …

This paper provides a comprehensive overview of the applications of game theory in deep
learning. Today, deep learning is a fast-evolving area for research in the domain of artificial …

The application of artificial intelligence (AI) in games has been significantly developed and
attracted much attention over the past few years. This article not only leverages the …

A significant robustness gap exists between machine intelligence and human perception
despite recent advances in deep learning. Deep learning is not provably secure. A critical …

Sign Language is used by the deaf community all over world. The work presented here
proposes a novel one-dimensional deep capsule network (CapsNet) architecture for …