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.

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.

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).

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.

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.

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.

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.

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.

In an era where artificial intelligence can create content indistinguishable from reality, how do we separate truth from fiction? In FAIK: A Practical Guide to Living in a World of Deepfakes, Disinformation, and AI-Generated Deceptions, cybersecurity and deception expert Perry Carpenter unveils the hidden dangers of generative artificial intelligence, showing you how to use these technologies safely while protecting yourself and others from cyber scams and threats.

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.

One hundred years ago, scientists would have said that lasers, televisions, and the atomic bomb were beyond the realm of physical possibility. In Physics of the Impossible, the renowned physicist Michio Kaku explores to what extent the technologies and devices of science fiction that are deemed equally impossible today might well become commonplace in the future.

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.

This book celebrates the immense drama and beauty of the car, of the genius embodied in the Ford Model T, of the glory of the brilliant-red Mercedes Benz S-Class made by workers for Nelson Mandela on his release from prison, of Kanye West's "chopped" Maybach, of the Rolls-Royce Silver Ghost, and even of that harbinger of the end—the Tesla Model S and its creator Elon Musk. As the age of the car as we know it comes to an end, Bryan Appleyard's brilliantly insightful book tells the story of the rise and fall of the incredible machine that made the modern world what it is today.

How did we become a world where facts—shared truths—have lost their power to hold us together as a community, as a country, globally? How have we allowed the proliferation of alternative facts, hoaxes, even conspiracy theories, to destroy our trust in institutions, leaders, and legitimate experts? Best-selling journalist Steven Brill documents the forces and people, from Silicon Valley to Moscow to Washington, that have created and exploited this world of chaos and division—and offers practical solutions for what we can do about it.

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.

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.

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.

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.