Emerging Technology

What will the world of tomorrow be like? How does progress happen? And why don't we have a lunar colony already? In this witty and entertaining audiobook, Kelly and Zach Weinersmith give us a snapshot of the transformative technologies that are coming next - from robot swarms to nuclear fusion powered toasters - and explain how they will change our world in astonishing ways. By weaving together their own research and interviews with pioneering scientists, the Weinersmiths investigate why these innovations are needed and how they would work.

This book identifies the seven key emerging Internet-related technologies: Internet of things, smart everything, big data, cloud computing, cybersecurity, software-defined networking, and online education. This book provides an introduction, applications, benefits, and challenges for each technology.

Decorated gaming and social media research and marketing executive Jonathan Stringfield delivers a roadmap to understanding and navigating marketing and business integrations into the gaming ecosystem: who plays games (and why), how modern games are created and oriented around the world of esports, and where brands can get involved with games. Perfect for marketing strategists, brand managers, and chief marketing officers, Get in the Game will also earn a place in the libraries of executives seeking to connect with the misunderstood yet largest segment in consumer entertainment.

The world of “deep tech” has launched seven simultaneous global revolutions: artificial intelligence, augmented and virtual reality, blockchain and cryptocurrencies, the Internet of Things, autonomous vehicles, 3D printing, and quantum computing - a perfect storm that will drive the global economy for the next decade, to the tune of over $100 trillion. Deep Tech outlines the promise (and potential perils) hidden within each of these emerging technology revolutions, all poised to explode into the mainstream market.

A new approach to the challenges surrounding artificial intelligence that argues for assessing AI actions as if they came from a human being.