Machine History

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.

For decades, history has considered Tammany Hall, New York's famous political machine, shorthand for the worst of urban politics: graft, crime, and patronage personified by notoriously corrupt characters. Infamous crooks like William "Boss" Tweed dominate traditional histories of Tammany, distorting our understanding of a critical chapter of American political history. In Machine Made, historian and New York City journalist Terry Golway convincingly dismantles these stereotypes.

A SURVIVOR’S LIFELONG QUEST FOR TRUTH AND JUSTICE MAY 2014. The Irish public woke to the horrific discovery of a mass grave containing the remains of most 800 babies in the ‘Angels’ Plot’ of Tuam’s Mother and Baby Home. What followed would rock the last vestiges of Catholic Ireland, enrage an increasingly secularised nation, and lead to a Commission of Inquiry. In The Adoption Machine, Paul Jude Redmond, Chairperson of the Coalition of Mother and Baby Homes Survivors, who himself was born in the Castlepollard Home, candidly reveals the shocking history of one of the worst abuses ...

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.

This 50th anniversary edition of Men, Machines, and Modern Times, though ultimately concerned with a positive alternative to an Orwellian 1984, offers an entertaining series of historical accounts taken from the 19th century to highlight a main theme: the nature of technological change, the fission brought about in society by such change, and society's reaction to that change.

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.

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”.

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.

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?

Hitler's former foreign intelligence official tells all in this dark confession, revealing his part in the crimes of World War II, and the corruption that ran rampant in Hitler's regime.

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.

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.

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.

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.

A New York Times Magazine writer explores the Next Big Thing in tech - the impending revolution in voice recognition - and shows how it will upend Silicon Valley and transform how we use computers, the Web, and much more. Every decade or so brings a seismic shift in how people interact with tech, from the PC to the internet to the smartphone. James Vlahos shows that we are on the cusp of the next shift: to voice computing. Siri and Alexa are early forms of this technology, but soon we may talk as fluently with our phones, appliances, cars, etc. as we do with any human.

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.

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.

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.

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.