Artificial Intelligence Theory

Are you grappling with the complexities of the NIST 800 Framework? Eager to amplify your risk management framework expertise with AI? Or maybe you're ready to dive into the cutting-edge field of AI-powered cybersecurity? Look no further–this is the ultimate guide to kickstart your journey.

This audiobook is not merely a static exploration of theory: it is a dynamic canvas upon which we'll paint the evolving portrait of the quantum AI landscape. From the current state-of-the-art to tantalizing glimpses of a future where these fields synergize seamlessly, we will equip you with the tools to understand, analyze, and contribute to the unfolding narrative of quantum computing and artificial intelligence.

The Simulation Hypothesis, by best-selling author, renowned MIT computer scientist, and Silicon Valley video game designer Rizwan Virk, explains one of the most daring and consequential theories of our time. Drawing from research and concepts from computer science, artificial intelligence, video games, quantum physics, and referencing both speculative fiction and ancient eastern spiritual texts, Virk shows how all of these traditions come together to point to the idea that we may be inside a simulated reality like the Matrix.

In Trivergence, Bob Tapscott, writer, speaker, complex system designer, and former CIO, introduces an exciting new concept in explaining how the intersection of artificial intelligence (AI), blockchain, and the Internet of Things (IoT) will transform business and society.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

Discover how ChatGPT, a leading-edge AI tool, is reshaping the online business landscape. Unearth practical insights on how you can leverage ChatGPT to optimize customer interactions, streamline operations, and most importantly, unlock robust online revenue streams. Whether you're curious about how to make money with chat or aiming to become the next ChatGPT millionaire, this guide provides actionable strategies.

Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.

Are you fascinated by apps like Microsoft’s ChatGPT and Google’s Gemini but unsure how you can utilize them to their full potential? Have you wondered how ChatGPT could help your writing, editing, and even gaming? Understanding and integrating Generative AI into your daily life may seem daunting, but it's not as difficult as you might think. In fact, with the right guide, anyone can harness the power of AI.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

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.

In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named "Island" where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables.

Author Phil Pallen is a brand strategist who uses his AI expertise to help hundreds of businesses scale and grow profits. In AI for Small Business, case studies from Pallen’s successful clients illustrate how real small business owners are applying AI technology in various ways. Plus, ready-to-try prompt sidebars and specific product recommendations allow you to start employing the power of AI in real time.

The U.S. Department of Education (Department) is committed to supporting the use of technology to improve teaching and learning and to support innovation throughout educational systems. This report addresses the clear need for sharing knowledge and developing policies for “Artificial Intelligence,” a rapidly advancing class of foundational capabilities which are increasingly embedded in all types of educational technology systems and are also available to the public.

In How to Create a Mind, Ray Kurzweil presents a provocative exploration of the most important project in human-machine civilization: reverse-engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil discusses how the brain functions, how the mind emerges, brain-computer interfaces, and the implications of vastly increasing the powers of our intelligence to address the world’s problems.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

Unlock AI Mastery with Our Comprehensive 2-in-1 GuideCurious about artificial intelligence but unsure where to start? Our dual book bundle, featuring "Generative AI for Beginners Made Easy" and "ChatGPT for Beginners Made Easy," demystifies AI concepts and provides practical tools for applying AI in various sectors.

Step into the future with The Art of Prompt Engineering: Mastering Intelligent Conversations with ChatGPT for Breakthrough Results! Jordan Ashwood guides you through the art of crafting effective, context-aware prompts that turn ChatGPT into a responsive and insightful conversational partner.

AI is coming fast and will affect every part of a business, including the role of the leader. And up until now, leaders have largely ceded their role in the transformation-pushing determination of strategy out to tech teams and leaving investment decisions with groups that don't have a full view of the organization. Just when responsible leadership is more imperative than ever, leaders are not stepping up to understand and execute in the new world of human-machine collaboration. A generation of AI transformation failures awaits if leaders don't connect their use of AI to their strategies.

In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski answers all our urgent questions about this astonishing new technology.

Artificial intelligence's central issues concern reasoning, knowledge, planning, learning, natural language processing and perception, and the ability to move and manipulate objects. Statistical methods, computational intelligence, soft computing, and conventional symbolic algebra are all approaches. While it remains to be seen how beneficial and effective AI technology will be in the future, it cannot be denied that during this time of crisis, this 21st-century technology has proven to be an asset in making the process more convenient and easier for medical experts and the nation.