Machine World

In the fourth book of the series, James McGill is up for promotion. Not everyone is happy about that, and McGill must prove he's worth his stripes. Deployed to a strange alien planet outside the boundaries of the Galactic Empire, he's caught up in warfare and political intrigue. Earth expands, the Cephalopod Kingdom launches ships to stop us, and a grand conspiracy emerges among the upper ranks of the Hegemony military.

Authors Womack, Jones, and Roos provided a comprehensive description of the entire lean system. They exhaustively documented its advantages over the mass production model pioneered by General Motors and predicted that lean production would eventually triumph. Indeed, they argued that it would triumph not just in manufacturing but in every value-creating activity from health care to retail to distribution.

From a New York Times investigative reporter, this “authoritative and devastating account of the impacts of social media” (New York Times Book Review) tracks the high-stakes inside story of how Big Tech’s breakneck race to drive engagement—and profits—at all costs fractured the world, and is “an essential book for our times” (Ezra Klein).

Liam Chapman cannot believe his good fortune. He just bought a real, working time machine at a garage sale for $3. Sure, it’s labeled “World’s Worst Time Machine,” but how bad could it be? The time machine, as it turns out, is so much worse than Liam could have imagined. First, it summons Thomas Edison, but not that Thomas Edison. This Thomas Edison is a 10-year-old aspiring gangster from 1933 who demands to be called “Tommy Twinkles” and is also very interested in robbing a bank of the future.

H.G. Wells (1866 -1946)—the master of the genre—created his "scientific romances" and set the standard for futuristic literature that teemed with both social commentary and a prescient view of the world to come. Here, we present The Time Machine and The War of the Worlds, two of the most popular and thrilling science-fiction novels ever created...together in one volume.

When we avoid taking a decision, what happens to it? In The Unaccountability Machine, Dan Davies examines why markets, institutions and even governments systematically generate outcomes that everyone involved claims not to want. He casts new light on the writing of Stafford Beer, a legendary economist who argued in the 1950s that we should regard organisations as artificial intelligences, capable of taking decisions that are distinct from the intentions of their members.

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.

Today's computers are composing music that sounds "more Bach than Bach", turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative - or are they merely tools to be used by musicians, artists, and writers? Miller, an authority on creativity, identifies the key factors essential to the creative process, from "the need for introspection" to "the ability to discover the key problem." He talks to people on the cutting edge of artificial intelligence and explores the riches of computer-created art.

After a shootout in Dubai left Hamza al-Saud dead and elevated brilliant aeronautical engineer Qasim Nadar to hero status in England, everyone assumes the terrorist threat from al Qadar has been eliminated. Everyone except JSOC counterterrorism analyst Whitney Watts. But when she decides to help MI6 penetrate Nadar’s secret network, Watts gets a little too close to the truth and finds herself in a deadly situation not even her teammates from Tier One can save her from.

In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally - hiring, driving, paying bills, even choosing romantic partners - that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology.

The rulers’ mistakes are paid for with the blood of the people. This is shown in history both recent and ancient, time and time again. It was no different for an Austrian mountain farmer’s son who was thrown into the carnage of the Eastern Front. He was in the prime of his youth, and the German Reich was already close to losing the war. In ripe-old age, he remembers those dark hours that have haunted him throughout his life.

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.

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

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.

November 1943 to May 1945. The US Army Air Forces waged an unprecedentedly dogged and violent campaign against Hitler's vital oil production and industrial plants on theThird Reich's southern flank. Flying from southern Italy, far from the limelight enjoyed by the Eighth Air Force in England, the Fifteenth Air Force engaged in high-risk missions spanning most of the European continent. The story of the Fifteenth Air Force deserves a prideful place in the annals of American gallantry.

One of the world's leading managers in the field of artificial intelligence unveils the secrets to creating synergy between human and artificial intelligence that will revolutionize our world.

Did the ancient Greeks and Romans have conspiracy theories? Did they come close to an industrial revolution? Did they drink beer? In a series of fast-paced essays, Insane Emperors, Sunken Cities, and Earthquake Machines answers 40 questions that ancient historian Garrett Ryan has been asked in the classroom and through his popular YouTube channel ToldinStone. As in Dr. Ryan's previous book—Naked Statues, Fat Gladiators, and War Elephants—the emphasis is on the fascinating details of daily life in the classical world.

Veteran military historian Dr. Samuel Mitcham, in the capstone of a career covering of more than 40 books - most of them on the German Armed Forces in World War II - tells the extraordinary tale of how Hitler’s once-feared war machine came to a cataclysmic end, from the Battle of the Bulge in December 1944 to the German surrender in May 1945.

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.