Picture a world where newness is everywhere and nothing is casual or stable! Through this audiobook, you will be exploring how everything around us, inert or animated, is connected in surprising ways.

Are you curious about the future of computing but confused about where to start? Are you fascinated by the quantum buzz but intimidated by dense academic jargon? I'm here to guide you through the fascinating universe of quantum tech, in the simplest way possible. Whether you're a tech enthusiast, software developer, eager student, or an innovator at heart, this book is tailored for minds like yours. I've translated qubits, quantum gates, and superposition in a refreshingly easy way, so you don't need a PhD to come along for the ride.

For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses map-like structures to build a model of the world - not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought.

What sparks the flash of brilliance? How does groundbreaking innovation happen? Answering in his infectious, culturally omnivorous style, using his fluency in fields from neurobiology to popular culture, Johnson provides the complete, exciting, and encouraging story of how we generate the ideas that push our careers, our lives, our society, and our culture forward.

For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: The union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.

The future is now. Artificial "machine" intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars and automatic checkout at the drugstore and are unable to live without our smartphones. The discussion around AI is largely polarized; people think either machines will solve all problems for everyone or they will lead us down a dark, dystopian path into total human irrelevance. Regardless of what you believe, the idea that we might bring forth intelligent creation can be intrinsically frightening.

Seventy years ago, Erwin Schrdinger posed a simple, yet profound, question: What is life?. How could the very existence of such extraordinary chemical systems be understood? This problem has puzzled biologists and physical scientists both before, and ever since. Living things are hugely complex and have unique properties, such as self-maintenance and apparently purposeful behaviour which we do not see in inert matter. So how does chemistry give rise to biology?

A timely and important book that explores the societal and ethical implications of artificial intelligence as we approach the cusp of a fourth industrial revolution. George Zarkadakis explores one of humankind's oldest love-hate relationships: our ties with artificial intelligence, or AI. He traces AI's origins in ancient myth, through literary classics like Frankenstein to today's science fiction blockbusters, arguing that a fascination with AI is hardwired into the human psyche.

According to the prevailing scientific paradigm, the universe tends toward randomness; it functions according to laws without purpose, and life is an accident devoid of meaning. Thanks to a new understanding of evolution, as well as recent advances in our understanding of the phenomenon known as emergence, a new cosmic narrative is taking shape: Nature’s simplest “parts” come together to form ever-greater “wholes” in a process that has no end in sight. Bobby Azarian explains the science behind this new view of reality and explores what it means for all of us.

One of the most peculiar and possibly unique features of humans is the vast amount of information we carry outside our biological selves. But in our rush to build the infrastructure for the 20 quintillion bits we create every day, we’ve failed to ask exactly why we’re expending ever-increasing amounts of energy, resources, and human effort to maintain all this data. Drawing on deep ideas and frontier thinking in evolutionary biology, computer science, information theory, and astrobiology, Caleb Scharf argues that information is, in a very real sense, alive - an aggregate lifeform.

The idea that human history is approaching a "singularity" - that ordinary humans will someday be overtaken by artificially intelligent machines or cognitively enhanced biological intelligence, or both - has moved from the realm of science fiction to serious debate. Some singularity theorists predict that if the field of artificial intelligence (AI) continues to develop at its current dizzying rate, the singularity could come about in the middle of the present century.

Magnum opus of evolutionary cyberneticist and digital philosopher Alex M. Vikoulov on the ultimate nature of reality, consciousness, the physics of time, philosophy of mind, transhumanism, economic theory, the technological singularity, the extended Gaia theory, the impending phase transition of humanity, the simulation hypothesis, transcendental metaphysics, and God. In one volume, the author covers it all: from quantum physics to your experiential reality, from the Big Bang to the Omega Point, from the "flow state" to psychedelics, and more.

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Imagine a world where the difference between man and machine blurs, where the line between humanity and technology fades, and where the soul and the silicon chip unite. This is not science fiction. This is the twenty-first century according to Ray Kurzweil, the “restless genius” (The Wall Street Journal), “ultimate thinking machine” (Forbes), and inventor of the most innovative and compelling technology of our era.

What is human consciousness, and how is it possible? This question fascinates thinking people from poets and painters to physicists, psychologists, and philosophers. From Bacteria to Bach and Back is Daniel C. Dennett's brilliant answer, extending perspectives from his earlier work in surprising directions, exploring the deep interactions of evolution, brains, and human culture.