Machine World

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.

A compelling and clear exploration of the power and peril of advanced artificial intelligence that provides actionable suggestions for all citizens to create a safer future with AI.

If you’re over 50 and wondering how Artificial Intelligence fits into your life, get ready for a fresh, exciting, and totally unique approach to learning. AI for Beginners Over Fifty isn’t just another dry guide—it’s a practical, engaging, and fun way to discover how AI can simplify your daily life, save you time, and even bring a little joy to your routine!

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.

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.

In Your AI Survival Guide, Sol Rashidi delivers an insightful and practical discussion of how to deploy artificial intelligence in your company. Having helped IBM launch Watson in 2011, Sol has firsthand knowledge of the ups, downs, and change management intricacies that can help you with a successful deployment beyond all the AI hype. She walks you through various frameworks for how to establish your AI strategy, pick your use cases, prepare your non-technology teams, and overcome the most common obstacles standing in the way of successfully implementing AI in your business.

This is the first reference book on intelligent automation (IA). Also called hyperautomation, it is one of the most recent trends in the field of artificial intelligence. IA is a cutting-edge combination of methods and technologies involving people, organizations, machine learning, low-code platforms, robotic process automation (RPA), and more. This book is for everyone - whether you are an experienced practitioner, new to the topic, or simply interested in what the future holds for enterprises, work, life, and society as a whole.

"You look like a thing and I love you" is one of the best pickup lines ever...according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans — all to understand the technology that governs so much of our daily lives.

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.

As humans compete for work against faster, cheaper, and smarter technology, the flood of AI-generated information undermines traditional expertise, eroding essential skills like writing, analysis, and decision-making. Despite these challenges, AI presents immense opportunities for those who master its intricacies, such as driving innovation, improving efficiency, and creating new markets. Can we thread the needle balancing the immeasurable benefits with the profound risks that AI presents to our future?

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

Imagine a robotic stuffed animal that can read and respond to a child's emotional state or a commercial that can change based on a customer's facial expression. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate.

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.

Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place—while tech industry critics warn darkly about surveillance capitalism. Despite their differing views of the future, they all agree: machines will soon do everything better than humans. How to Stay Smart in a Smart World shows why that's not true, and tells us how we can stay in charge in a world populated by algorithms.

Want to turn AI into your secret weapon for success, but have no idea how to begin? Your barrier isn't technical—it's communication. No one has taught you how to speak AI's language. Until now. "Generative AI for Beginners" by Sarah T. Rowan is the guide that finally teaches you how to communicate effectively with AI, empowering you to get the results you want—no tech degree required. Using AI effectively is like driving a car—you don't need to be a mechanic, just know how and where to drive.

Fascinated by AI but unsure where to start? Feel like the AI revolution is racing ahead without you? You haven't missed your chance—the path to AI mastery is clearer than you imagine. AI Fundamentals makes AI accessible and exciting.

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.

Generative AI for Beginners Simplified is your ultimate gateway into the exciting world of artificial intelligence and machine learning. This comprehensive guide is specially designed for beginners, breaking down complex concepts into easy-to-understand lessons, practical exercises, and real-world projects. Whether you’re completely new to AI or looking to refresh your skills, this book provides you with a step-by-step roadmap to mastering generative AI and unlocking your creative potential.

Thinking with Machines: The Brave New World of AI tells the story of AI from its very beginnings through the eyes of Vasant Dhar, currently Robert A Miller Professor at the Stern School of Business, and Professor of Data Science at New York University. Professor Dhar lived through the invention of AI algorithms and their various permutations until today. He brought AI to Wall Street in the '90s and was the first to teach AI at NYU Stern.

Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap.