Artificial Intelligence Theory

Artificial intelligence is coming, and it's coming whether we like it or not. This book is a good guide to understand how AI will impact every aspect of our daily lives, and the steps you can take to take advantage of it. This book (unlike my other books) will not bore you on the details of Python and TensorFlow but just inspire you with knowledge about our future industries.

Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life.

When ChatGPT was released, the world changed overnight. Even as we all played with the new toy, a very real danger was quickly coming to light: that untested automations would undermine our way of life insidiously, sucking value out of our economy, replacing high-level creative jobs and enabling a new, terrifying era of disinformation.

Busy professionals can now master AI-driven optimization while commuting, working, or multitasking.

In this ground-breaking work, James Adams and Richard Kletter clearly explain the potential and likely ramifications of AI. They show how ill-prepared we are for the forthcoming "fourth industrial revolution" and look at how human beings might fare as it unfolds. Meticulously researched and extensively referenced, this audiobook to the brave new world is created by two highly credible authors, who use all of their experience, insight and contacts to give listeners a privileged look into that which is to come.

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.

AlphaGo and the Philosophy of Mind is a thought-provoking exploration of the principles of machine learning and its application in the strategy game of Go. This book takes readers through the history of Go and its importance in the world of AI, looking at the philosophical implications of advancing technology and the implications of AlphaGo’s victory over the world’s Go champion. This book is an essential read for anyone interested in the philosophical implications of AI and machine learning.

Artificial intelligence is everywhere—powering news feeds, curating search results, and invisibly steering our lives. We talk to it and, increasingly, it talks back. And sometimes, its answers seem eerily smart, until they don't.

Alex Vail took a sabbatical from his job on the board of one of the country's leading manufacturers to conduct several research projects, including the largest ever study into the UK's corporate AI capabilities. In total, he surveyed 234 senior leaders and interviewed 92 executives from FTSE350 companies to identify why digital transformations succeed or fail; the data dependency of organisations; and their levels of data literacy at senior levels.

Do you need help navigating the rapidly evolving world of AI? This guide is designed to help you unlock the game-changing potential of artificial intelligence, no matter your starting point, with hands-on and interactive learning techniques. You're not alone if you're curious about AI but feel overwhelmed by the flood of information and lost in technical jargon, wondering how AI could impact your life or career. Many beginners face the same challenges. In fact, recent surveys show that over 60% of those interested in AI feel intimidated by its complexity.

Are you eager to start an online business but feel intimidated by technology? Looking for a way to leverage AI without being a tech expert? This comprehensive audiobook is your gateway to entrepreneurial success with ChatGPT!

Thanks to recent advances in AI, humans have entered a world where we are no longer the sole custodians of knowledge. A new wave of disarmingly human-like chatbots, such as ChatGPT, Claude and Bard, appear to be able to talk and reason like us - and are beginning to transform everything we do. It is vital we understand how they work. Can AI ‘think’, 'know' and ‘understand’? What are its values? Whose biases is it perpetuating? Can it lie and if so, could we tell? Does their arrival threaten our very existence?

Humanity is racing to create machine intelligence vastly smarter than the human brain. We will succeed. Blending accessible philosophy with the latest in AI developments, Mind Crime: The Moral Frontier of Artificial Intelligence forces listeners to grapple with the moral questions we can no longer afford to ignore. Are we prepared for the consequences of artificial superintelligence? Will humanity's survival be threatened, perhaps within years? Is digital consciousness possible? Are we sleepwalking into horrific moral catastrophe?

In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning.

Convertir ChatGPT en un cajero automático va más allá de las promesas superficiales al brindarle estrategias comprobadas para construir una empresa sostenible de trabajo desde casa. Además, este libro desbloquea el inmenso potencial de ChatGPT y le ayuda a transformar su experiencia de trabajo desde casa en un viaje rentable y satisfactorio.

Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.

AI-powered programmes like ChatGPT have become valuable tools in the financial market, and proven to be incredibly beneficial to investors looking to identify investment opportunities and risks that might be overlooked by humans. Yet there is a darker side to these products, which we are only just beginning to fully understand. In this book, Rickards shows how models like ChatGPT work, and how they can be leveraged to capitalize on markets and avoid losses by providing accurate, up-to-date financial insights. Rickards’ guide is essential for anyone looking to navigate this new climate.

For the curious mind, there is perhaps no more intriguing a subject than artificial intelligence in the early 21st century. In Artificial Intelligence: Understanding the Science, Impact, and Future Of AI, Machine Learning, Neural Networks, and the Singularity, author Thien-Nam Dinh draws on his years of experience to tackle the big questions in AI and present them in a way that even a human can understand.

One of the most peculiar and possibly unique features of humans is the vast amount of information we carry outside our biological selves. But in our rush to build the infrastructure for the 20 quintillion bits we create every day, we’ve failed to ask exactly why we’re expending ever-increasing amounts of energy, resources, and human effort to maintain all this data. Drawing on deep ideas and frontier thinking in evolutionary biology, computer science, information theory, and astrobiology, Caleb Scharf argues that information is, in a very real sense, alive - an aggregate lifeform.

Today, 91 percent of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence. So, future programmers will no longer find work without having knowledge of this particular field that is constantly evolving.