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.

In The World’s Biggest Cash Machine, informed by interviews with key figures behind the scenes, award-winning journalist and commentator Chris Blackhurst charts the gripping story of the world’s biggest football club - as well as exploring the wider transformation of the Premier League into a playground for billionaire owners.

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).

In June of 2024, thirty-one years after its founding in a Denny’s restaurant, Nvidia became the most valuable corporation on Earth. The Thinking Machine is the astonishing story of how a designer of video game equipment conquered the market for AI hardware, and in the process re-invented the computer. Essential to Nvidia’s meteoric success is its visionary CEO Jensen Huang, who more than a decade ago, on the basis of a few promising scientific results, bet his entire company on AI.

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.

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.

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.

Not too long ago, the cyborg NSLICE-00P—Non-Standard Leashed-Intelligence Cybernetic Enforcer—was an unstoppable machine of war. But when a fateful murder caused her to be launched into a whole new reality, she slowly began to realize that she could be something more . . . if she wanted.

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.

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.

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.

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.

Unleash the power of Generative AI in less than 30 days. Turn tech curiosity into a practical skillset even if you're a beginner. Don't let your perception of what's difficult hold you back. This book is designed specifically with simplicity in mind, tailored for those who may be stepping into the world of AI for the first time. It is packed with interactive, up-to-date exercises and real-world applications, that will guide you every step of the way, ensuring that you stay connected to the most relevant and useful topics in AI.

In what many refer to as one of the first and greatest science fiction thrillers, a mysterious stranger wanders into an inn, wrapped head-to-toe in bandages. What lies beneath the bandages is something even more mysterious. As Wells tackles issues of identity, deception, and the deterioration of the human mind, listeners will be drawn into the story of the mysterious man, whose own mistakes end up whisking him into a whirlwind of deceit, terror, and even murder. In the end, the question will be asked: when your sense of self and identity vanish, who will you become?

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.

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.