Future Computer

There has been a lot of ink devoted to discussions of how robots will replace us and take our jobs. But MIT Media Lab researcher and technology policy expert Kate Darling argues just the opposite, and that treating robots with a bit of humanity, more like the way we treat animals, will actually serve us better.

Astrophysicist J. Craig Wheeler, former president of the American Astronomical Society, takes a critical look at the technological advances shaping our future. From artificial intelligence to genetic engineering, Wheeler explores how these innovations are interconnected and the potential they hold for humanity's evolution. With thought-provoking insights into the ethical dilemmas we face, Wheeler stresses the importance of staying informed and proactive.

The grid is an accident of history and of culture, in no way intrinsic to how we produce, deliver and consume electrical power. Yet this is the system the United States ended up with, a jerry-built structure now so rickety and near collapse that a strong wind or a hot day can bring it to a grinding halt. The grid is now under threat from a new source: renewable and variable energy, which puts stress on its logics as much as its components.

Charles Eisenstein explores the history and potential future of civilization, tracing the converging crises of our age to the illusion of the separate self. He argues that our disconnection from one another and the natural world has mislaid the foundations of science, religion, money, technology, economics, medicine, and education as we know them. It has fired our near-pathological pursuit of technological Utopias even as we push ourselves and our planet to the brink of collapse.

In The Truth Machine, Michael J. Casey and Paul Vigna demystify the blockchain and explain why it can restore personal control over our data, assets, and identities; grant billions of excluded people access to the global economy; and shift the balance of power to revive society’s faith in itself. They reveal the disruption it promises for industries including finance, tech, legal, and shipping.

You've probably heard that the metaverse—a word that seemingly went from nonexistent to everywhere—is the next big thing in technology. What is it? Written by a leading futurist, Metaverse For Dummies unravels the mysteries of the metaverse, for the curious and for anyone looking to get in on the ground floor. Discover how to carve out your niche in the metaverse with easy-to-understand breakdowns of the major technologies and platforms, a guide to doing business in the metaverse, and explorations of what meta means for sports, education, and just about every other area of life.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit.

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.

The world of technology is changing all the time. A product that is innovative and brand-new today can be old news tomorrow as we are in a constant state of looking for the newest and most innovative things that we can use. And when it comes to helping us stay on top of this technology, artificial intelligence is leading the pack. This audiobook will provide you all the information you need to understand and learn how artificial intelligence is being used in our modern world.

High-tech innovations are created at a dazzling speed, and it all points to a world that is getting faster at a dizzying pace. Azeem Azhar knows this better than most. Over the last three decades, he has founded companies bought by Amazon and Microsoft, served as the Economist’s first ever internet correspondent, and created a leading international tech newsletter and podcast, the Exponential View. Now, Azhar offers a revelatory new model for understanding how technology is changing the world.

In the world of investing, staying ahead of the curve is crucial for long-term success. This is where AI-powered trend analysis comes into play. By harnessing the power of artificial intelligence, investors can gain valuable insights into market trends and make informed decisions that can lead to future fortunes.

In Generative AI: Navigating the Course to the Artificial General Intelligence Future, Martin Musiol delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space.

Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow.

Since the global financial crisis of 2008, people have increasingly lost trust in institutions and elites, while seizing upon new digital tools to sidestep traditional gatekeepers. As a result, powerful new voices—once regarded as radical, unorthodox, or marginal—are disrupting the status quo in politics, business, and culture. Meanwhile, social and economic inequalities are stoking populist rage across the world, toxic partisanship is undermining democratic ideals, and the internet and AI have become high-speed vectors for the spread of misinformation.

This book will teach you to: understand what AI and machine learning are, and learn about new developments like ChatGPT; discover strategies for engaging students more fully using AI; automate administrative tasks, grading and feedback, and assessments; use AI in innovative ways to promote higher-order thinking skills; and examine ethical considerations of AI, including the achievement gap, privacy concerns, and bias.

Ever wondered how your favorite apps predict your preferences or how self-driving cars navigate the roads? Welcome to the world of Machine Learning, where these wonders come to life! "Introduction to Machine Learning" is your ticket to unraveling the mysteries of this groundbreaking technology without the need for a PhD!

In Fusion Strategy, world-renowned innovation guru Vijay Govindarajan and digital strategy expert Venkat Venkataraman offer a first-of-its-kind playbook that will help industrial companies combine what they do best-create physical products-with what digitals do best-use algorithms and AI to parse expansive, interconnected datasets-to make strategic connections that would otherwise be impossible.

Can a well-programmed machine do anything a human can - only better? Complex algorithms are buying our groceries, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines too?