Machine History

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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?

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.

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.

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.

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.

The machine that kills secrets is a powerful cryptographic code that hides the identities of leakers and hacktivists as they spill the private files of government agencies and corporations bringing us into a new age of whistle blowing. With unrivaled access to figures like Julian Assange, Daniel Domscheit-Berg, and Jacob Applebaum, investigative journalist Andy Greenberg unveils the group that brought the world WikiLeaks, OpenLeaks, and BalkanLeaks.

In November 2022, a webpage was posted online with a simple text box. It was ChatGPT, and was unlike any app people had used before. It was more human than a customer service agent, more convenient than a Google search. Behind the scenes, battles for control and prestige between the world’s two leading AI firms, OpenAI and DeepMind, who now steers Google's AI efforts, has remained elusive—until now.