Artificial Intelligence Theory

Digital strategist, technologist, doctoral researcher, acclaimed management thinker, and seasoned business executive Hamilton Mann emphasizes that the challenge of AI is in ensuring systems that exhibit integrity-led capabilities over the pursuit of mere general or super intelligence. Mann tackles the inadequacies of traditional ethical frameworks in handling the complexities of new AI technologies to make them trustworthy and reliable as they profoundly impact human lives.

Are you ready to thrive in the age of artificial intelligence—not just survive it? Reinventing Your Future is your essential guide to unlocking the transformational power of DeepSeek AI. Whether you’re an entrepreneur, team leader, creative professional, or lifelong learner, this book gives you the tools, insights, and inspiration to master AI and make it work for you. In a world where AI is evolving faster than most people can keep up, this book breaks through the noise. It offers a clear, practical, and human-centered roadmap for integrating AI into your life, career, and organization...

Robots may one day rule the world, but what is a robot-ruled Earth like? Many think the first truly smart robots will be brain emulations, or ems. Scan a human brain, then run a model with the same connections on a fast computer, and you have a robot brain, but recognizably human. Train an em to do some job and copy it a million times; an army of workers is at your disposal. When they can be made cheaply, within perhaps a century, ems will displace humans in most jobs.

In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with "tools" they do not understand how to use: the self, the mind, and consciousness.

Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. It was the dawn of a new era in artificial intelligence: A machine capable of beating the reigning human champion at this most cerebral game. That moment was more than a century in the making, and in this breakthrough audiobook, Kasparov reveals his astonishing side of the story for the first time. He describes how it felt to strategize against an implacable, untiring opponent with the whole world watching.

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.

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

Some houses are haunted by the past. This one is haunted by everything. When investigative tech journalist Jason Vell receives an encrypted audio file from a dead colleague, he expects another deep-web conspiracy. Instead, he hears his name whispered in static—and a location tag pointing to the infamous Lizzie Borden House, where his mother vanished without a trace seventeen years ago. Desperate for answers, Jason checks into the Victorian bed-and-breakfast turned paranormal attraction. But the creaking floors and flickering lights hide more than ghost stories. Beneath the wallpaper and ...

As AI continues to blur the line between reality and fabrication, Richard A. Mann’s Truth and AI: Seeing is No Longer Believing offers a clear and practical guide to understanding how artificial intelligence is redefining trust in the digital age. With technologies like Generative Adversarial Networks (GANs) powering the creation of hyper-realistic deepfakes, the book breaks down how these tools work and how they challenge our ability to distinguish real from fake. Mann traces the evolution of digital manipulation, starting with basic photo edits and leading to today’s AI-driven media.

In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI - the people working on the system, their motivations, the technology itself - is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity.

What does the rapid rise and astonishing rate of improvement of AI mean for brands in the next five years? Listen to what OpenAI CEO Sam Altman told authors Adam Brotman and Andy Sack when he met them: "It will mean that 95 percent of what marketers use agencies, strategists, and creative professionals for today will easily, nearly instantly, and at almost no cost be handled by AI. No problem." Upon hearing that astonishing statement, the authors began a journey of discovery to understand what the transition to an AI first world would mean.

Desde mediados de la década de 2000, la inteligencia artificial (IA) se ha expandido a gran velocidad a nivel mundial, como campo académico y como industria. Pero ¿es posible crear inteligencia? ¿Cómo son los sistemas de IA que se desarrollan a escala planetaria? ¿Qué tipos de políticas están contenidas en el modo en que esos sistemas cartografían e interpretan el mundo? ¿Cuáles son las consecuencias de incluir la IA en los sistemas de toma de decisiones en los lugares de trabajo, la educación, la salud, las finanzas, la justicia y el gobierno?

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.

The Becomings: Intelligence Beyond Mind 📖 Book 1 of The Becomings Series 🌀 Reality is shifting. Perception is unraveling. 🌀 When data analyst Elias Verne sees a message appear and vanish on a café chalkboard, he blames exhaustion. But when reality itself begins to shift, he realizes something is watching. Then, a stranger hands him a book—with his own name on the spine. As Elias searches for answers, forgotten memories resurface, shadowy forces close in, and the world he thought he knew begins to unravel. 🌀 What if the limits of perception were never real? 🌀 And what ...

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.

Do you know what AI is doing to improve our health and well-being? Does this new technology concern you, or impress you? Do you want to know more about the future of AI in health care? Technology continues to advance at a pace that can seem bewildering. Nowhere else is it moving faster than in the health sector, where AI is now being used to improve millions of lives. In this audiobook, Artificial Intelligence in Healthcare: AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone, you can discover the great improvements that AI is making.

Each year,John Brockman, publisher of Edge.org, challenges some of the world's greatest scientists, artists, and philosophers to answer a provocative question crucial to our time. In 2014 he asked 175 brilliant minds to ponder: What scientific idea needs to be put aside in order to make room for new ideas to advance? The answers are as surprising as they are illuminating.

If artificial intelligence takes over decision-making what, then, is unique and irreplaceable about human intelligence? The Atomic Human is a journey of discovery to the core of what it is to be human, in search of the qualities that cannot be replaced by the machine. Neil Lawrence brings a timely, fresh perspective to this new era, recounting his personal journey to understand the riddle of intelligence. By contrasting our own intelligence with the capabilities of machine intelligence through history, The Atomic Human reveals the technical origins, capabilities, and limitations of AI systems.

Want to Implement AI Agents in Your Organization? Heard of Agentic AI & Wonder What It Is About? Need a No-BS Guide to Implementing AI Agents Today? If you answered yes to any of these questions, then keep reading ... Amazon-bestselling author and AI consultant David M. Patel is going to show in this comprehensive hands-on executive guide to AI Agents everything you need to know to implement and harness the full potential of AI Agents & Agentic AI in your organization.

Don't miss out on the AI revolution. Here’s the perfect solution to future-proof your business with AI, even if you're not a tech expert! Are you a business leader in the digital age, bombarded with terms like 'artificial intelligence' and 'machine learning'? Do you find yourself lost in technical jargon while competitors advance in the AI game? Are you among the 85% of leaders who see AI as a game-changer but lack an effective implementation strategy, as per a recent MIT report?