Artificial Intelligence Theory

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.

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.

We are in the midst of an unprecedented degree of technology-driven change at the same time that society faces challenges more complex than our organizations and we as individuals have been prepared to handle. Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence is for leaders who want to create a better future within this context of change and supplies a balance of historical and theoretical context with practical frameworks for beginning to create a more human future today.

Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers listeners a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society.

AI and people do not compete on a level playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being.

AI is at the forefront of everyone's minds: from students and artists, to CEO's and service workers. But what exactly is AI, and how does it influence our everyday lives? And more than that, what does it mean for our future? Is there a way for us to retain our "humanness" in a world ever-reliant on tech? This groundbreaking book argues that the key technology we use to make strategic, political, and ethical decisions is flawed.

Welcome to AI ChatGPT Marketing for Business 2025, the ultimate 3-in-1 step-by-step audiobook designed to help you master the tools, tactics, and mindset of the digital economy. Whether you're launching your first side hustle, scaling your social media presence, or building a future-proof online brand, this bundle is your shortcut to real, sustainable results.

Inteligencia Artificial Fácil para Principiantes elimina la jerga y hace que la IA sea simple, práctica y accesible. Ya sea que quieras aumentar tu productividad, dar rienda suelta a tu creatividad o simplemente mantenerte al día en este mundo que cambia tan rápido, aquí encontrarás una guía paso a paso diseñada para principiantes absolutos.

After many years during which it languished in relative obscurity, in remote classrooms of computer science departments and in small prototype projects for tech companies, artificial intelligence (AI) is now a searingly hot topic across the media. Yet much of the public discussion is so feverish that an understanding of the basic scientific and engineering elements of the field is easily lost, often resulting in exaggerated claims, as well as dangerously neglected threats.

For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: The union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.

Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level.

Coaches, Wellness Experts, and Entrepreneurs—Write Your Book Faster, Easier with AI! Struggling to find time or the right approach to writing your book? Stop the overwhelm—ChatGPT AI makes book writing faster, easier, and smarter than ever! The AI revolution is here! This book reveals a 9-step formula to write, publish, and launch a client-attraction book—without losing your unique voice and authenticity.

Factories create massive amounts of data from IoT sensors, MES, SCADA, quality systems, supply chain, maintenance, and others. Yet most organizations can’t turn it into decisions fast enough. The result is reactive firefighting and AI pilots that stall. The Unified Manufacturing Data Architecture (UMDA) is a practical framework built for industry, not adapted from IT. It shows you how to handle real-time streams, integrate legacy systems, enforce security, and scale AI across sites.

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.

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.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

In this accessible, up-to-date, and authoritative examination of the world’s most radical technology, neuroscientist and AI researcher Christopher Summerfield explores what it really takes to build a brain from scratch. We have entered a world in which 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. But 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?

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 this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness.

Imagínese una herramienta que nunca se cansa, piensa analíticamente, estimula la creatividad y se adapta a sus necesidades específicas. ChatGPT es un socio revolucionario, listo para llevar su trabajo a alturas inimaginables en los negocios, la tecnología, el contenido, la educación, la atención médica y más.