Machine History

The trade in oil, gas, gems, metals, and rare earth minerals wreaks havoc in Africa. During the years when Brazil, India, China, and the other "emerging markets" have transformed their economies, Africa's resource states remained tethered to the bottom of the industrial supply chain. While Africa accounts for about 30 percent of the world's reserves of hydrocarbons and minerals and 14 percent of the world's population, its share of global manufacturing stood in 2011 exactly where it stood in 2000: at 1 percent.

Machines Like Me occurs in an alternative 1980s London. Britain has lost the Falklands War, Margaret Thatcher battles Tony Benn for power, and Alan Turing achieves a breakthrough in artificial intelligence. Meanwhile, two lovers will be tested beyond their understanding. Charlie, drifting through life and dodging full-time employment, is in love with Miranda, a bright student who lives with a terrible secret. When Charlie comes into money, he buys Adam, one of the first batch of synthetic humans. With Miranda's assistance, he co-designs Adam's personality.

Drawing on over a hundred interviews with industry insiders, former Spotify employees, and musicians, Mood Machine takes us to the inner workings of today’s highly consolidated record business, showing what has changed as music has become increasingly playlisted, personalized, and autoplayed.

In this lively and entertaining work, Witold Rybczynski-hailed as "one of the best writers on design working today" by Publishers Weekly-tells the story of the most distinctive cars in history and the artists, engineers, dreamers, and gearheads who created them.

As lives offline and online merge, it's easy to forget how we got here. Rise of the Machines reclaims the story of cybernetics, a control theory of man and machine. Thomas Rid delivers a portrait of our technology-enraptured era. Springing from mathematician Norbert Wiener amid the devastation of World War II, the cybernetic vision underpinned a host of myths about the future of machines. This vision radically transformed the postwar world, ushering in sweeping cultural change.

Everyone has heard of DNA. But by itself, DNA is just an inert blueprint for life. It is the ribosome - an enormous molecular machine made up of a million atoms - that makes DNA come to life, turning our genetic code into proteins and therefore into us. Gene Machine is an insider account of the race for the structure of the ribosome, a fundamental discovery that both advances our knowledge of all life and could lead to the development of better antibiotics against life-threatening diseases.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Paul Scharre, a Pentagon defense expert and former U.S. Army Ranger, explores what it would mean to give machines authority over the ultimate decision of life or death. Scharre's far-ranging investigation examines the emergence of autonomous weapons, the movement to ban them, and the legal and ethical issues surrounding their use. Through interviews with defense experts, ethicists, psychologists, and activists, Scharre surveys what challenges might face "centaur warfighters" on future battlefields.

As it absorbs data, gains agency, and intermediates between humans and reality, AI will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It might well solve some of the greatest mysteries of our universe, revolutionize fields as diverse as medicine and architecture, and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen.

Ed Macy had always dreamed of a career in the army, so when the British Army Air Corps launched its attack helicopter program, Macy bent every rule in the book to make sure he was the first to sign up to fly the Apache—the deadliest, most technically advanced helicopter in the world and the toughest to fly. In 2007, Macy's Apache squadron was dispatched to Afghanistan's notorious Helmand Province with the mission to fight alongside and protect the men on the ground by any means necessary.

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.

Stories brought us together. Books spread our ideas – and our mythologies. The internet promised infinite knowledge. The algorithm learned our secrets – and then turned us against each other. What will AI do? NEXUS is the thrilling account of how we arrived at this moment, and the urgent choices we must now make to survive – and to thrive.

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.

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

For as long as we’ve studied human cognition, we’ve believed that our senses give us direct access to the world. What we see is what’s really there—or so the thinking goes. But new discoveries in neuroscience and psychology have turned this assumption on its head. What if rather than perceiving reality passively, your mind actively predicts it?

Computers have changed since 1981, when Tracy Kidder memorably recorded the drama, comedy, and excitement of one company's efforts to bring a new microcomputer to market. What has not changed is the feverish pace of the high-tech industry, the go-for-broke approach to business that has caused so many computer companies to win big (or go belly up), and the cult of pursuing mind-bending technological innovations.

Silicon Valley has sold us the illusion that artificial intelligence is a frictionless technology that will bring wealth and prosperity to humanity. But hidden beneath this smooth surface lies the grim reality of a precarious global workforce of millions laboring under often appalling conditions to make A.I. possible. This book presents an urgent, riveting investigation of the intricate network that maintains this exploitative system, revealing the untold truth of A.I.

Simon Reynolds's first book in eight years is a celebration of music that feels like a taste of tomorrow. Sounds that prefigure pop music's future—the vanguard genres and heroic innovators whose discoveries eventually get accepted by the wider mass audience. But it's also about the way music can stir anticipation for a thrillingly transformed world just around the corner: a future that might be utopian or dystopian, but at least will be radically changed and exhilaratingly other.