Machine History

The story of Ethereum begins with Vitalik Buterin, a supremely gifted 19-year-old autodidact who saw the promise of blockchain when the technology was in its earliest stages. He convinced a crack group of coders to join him in his quest to make a super-charged, global computer. The Infinite Machine introduces Vitalik’s ingenious idea and unfolds Ethereum’s chaotic beginnings. It then explores the brilliant innovation and reckless greed the platform has unleashed and the consequences that resulted as the frenzy surrounding it grew.

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. Part II focuses on the 20th and 21st centuries in which a greater density of narratives emerge alongside rapid developments in AI technology.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

On June 4, 1944, the course of World War II was forever changed. That day, a US Navy task force achieved the impossible—capturing a German U-Boat. Called Operation Nemo, it was the first seizure of an enemy ship in battle since the War of 1812, one of the greatest achievements of the US Navy and a victory that shortened the duration of the war. A deeply researched, fast-paced World War II narrative for the ages, Charles Lachman’s white-knuckled war saga and thrilling cat-and-mouse game is told through the eyes of the men on both sides of Operation Nemo.

John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future. Technology is already more powerful than we can comprehend, and getting more powerful at an exponential pace. Once set in motion, algorithms never tire.

The tragic fate of the British airship R101—which went down in a spectacular fireball in 1930, killing more people than died in the Hindenburg disaster seven years later—has been largely forgotten. In His Majesty’s Airship, S.C. Gwynne resurrects it in vivid detail, telling the epic story of great ambition gone terribly wrong.

In this book, you'll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.

A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind" - human and machine capabilities working together - has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results?

When the Marines decided to buy a helicopter-airplane hybrid "tiltrotor" called the V-22 Osprey, they saw it as their dream machine. The tiltrotor was the aviation equivalent of finding the Northwest Passage: an aircraft able to take off, land, and hover with the agility of a helicopter yet fly as fast and as far as an airplane. Many predicted it would reshape civilian aviation. The Marines saw it as key to their very survival. Opponents called it one of the worst boondoggles in Pentagon history.

From the New York Times bestselling author of Capote’s Women comes an astonishing account of the revolutionary artist Andy Warhol and his scandalous relationships with the ten women he deemed his “Superstars”.

Too many CEOs tell a simple story about the future of work: If a machine can do what you do, your job will be automated. They envision everyone from doctors to soldiers rendered superfluous by ever-more-powerful AI. They offer stark alternatives: Make robots, or be replaced by them. Another story is possible. In virtually every walk of life, robotic systems can make labor more valuable, not less. Frank Pasquale tells the story of nurses, teachers, designers, and others who partner with technologists, rather than meekly serving as data sources for their computerized replacements.

When most people think of the prohibition era, they think of speakeasies, rum runners, and backwoods fundamentalists railing about the ills of strong drink. In other words, in the popular imagination, it is a peculiarly American history. Yet, as Mark Lawrence Schrad shows in Smashing the Liquor Machine, the conventional scholarship on prohibition is extremely misleading for a simple reason: American prohibition was just one piece of a global phenomenon.

Hoy en día, el mundo se vacía de cosas y se llena de información inquietante como voces sin cuerpo. La digitalización desmaterializa y descorporeíza el mundo. En lugar de guardar recuerdos, almacenamos inmensas cantidades de datos. Los medios digitales sustituyen así a la memoria, cuyo trabajo hacen sin violencia ni demasiado esfuerzo. La información falsea los acontecimientos.

Veteran bootlegger. Prolific bank robber. Kidnapper extraordinaire. Ruthless criminal mastermind. With a nickname as hardcore as George “Machine Gun” Kelly's, it should come as no surprise that such terms are frequently associated with him. Eighty-six years may have come and gone since his death, but this Depression-era mobster's name and legacy are still as relevant as ever. You will learn about Machine Gun Kelly like never before.

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.

Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society - and what this technology means for us all.

This audiobook will help you get ready for the changes coming in the years ahead. Listen now. Packed with expert insights, the book addresses critical questions: How will AI alter employment, education, and global geopolitics? What ethical dilemmas will arise as humans interlace with AI through cyborgs and synthetic biology? Can we prepare for superintelligence and its utopian—or dystopian—outcomes?