Topic: AI & Machine Learning

This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations...

By drawing on multiple examples from healthcare, religion, service encounters and poetry, Lionel Wee presents rich insights into the use of automation in communication through a posthumanist lens. As communication...

An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice. Deep learning is a fast-moving field with sweeping relevance in today's...

Why robots defy our existing moral and legal categories and how to revolutionize the way we think about them. Robots are a curious sort of thing. On the one hand,...

A comprehensive overview of how civilian drones sense the world and how they build the aesthetic imaginaries of our communities. Drone technology has garnered critical attention across many fields, from...

A new theory and methodology for the application of computer vision methods to the computational analysis of collected, digitized visual materials, called “distant viewing.” Distant Viewing: Computational Exploration of Digital...

Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. In Inside Deep Learning, you will learn how to: Implement deep learning...