Artificial Intelligence Theory

This audiobook is your complete guide to modern Agile product and project management—designed for leaders, practitioners, and students who want to master how products are conceived, built, and scaled in the era of AI. Drawing on real-world case studies from startups to Silicon Valley tech giants, it explains not only what Agile is, but how it drives business value, accelerates delivery, and enables innovation powered by generative AI and intelligent agents.

Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI.

This audio book on artificial intelligence is aimed at beginners and is designed to teach you the basics within the historical development of AI. For this reason, our journey begins with the section "Introduction and historical background of AI". Topics and contents of the lessons: I. Introduction and historical background. What is AI - a philosophical consideration, Strong and Weak AI, The Turing Test, The birth of the AI, The era of great expectations, Catching up with reality, How to teach a machine to learn, Distributed systems in the AI, Deep Learning, Machine Learning.

Elon Musk, Stephen Hawking, and Bill Gates have proclaimed Artificial Intelligence as a possible threat in the future unless humans learn to use it wisely. Could this be true? Is it possible for us to create artificial intelligence programming so that we'll soon have thinking and feeling AI? Is it even possible for us to have a human-looking AI run for president in the future? All of these questions and thoughts are addressed in Artificial Intelligence: Understanding A.I. and the Implications of Machine Learning.

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.

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.

This book is designed to reveal secret techniques and equip you with real-world, immediate applications for various coding and development challenges. Each scenario unveils a unique situation, offers a specific prompt, and explores the robust and insightful response from ChatGPT. But the book hides more—it delves deep into instructive commentary, unveiling hidden insights on each scenario, providing a deeper understanding and larger context.

The productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.

Stakeholders don't invest in AI because they understand the tech―they invest when its business impact is clear and undeniable. In Show AI―Don't Tell It, AI executive and business strategist Dr. Lisa Palmer reveals how to use visual storytelling to make AI's value tangible, turning complex ideas into clear business outcomes that drive buy-in, adoption, and scale. Instead of vague theories and hype, this book provides clear frameworks, practical tools, and proven visualization techniques to help leaders secure funding, accelerate implementation, and maximize AI's impact.

Will AI take over?

The evolution of artificial intelligence can be traced back to the mid-20th century, when foundational concepts were first introduced by pioneers in computer science. Early developments focused on creating machines that could mimic human reasoning and problem-solving capabilities. These initial efforts laid the groundwork for the sophisticated algorithms and machine learning techniques that underpin modern AI systems.

Feel overwhelmed by Artificial Intelligence (AI)? Turn fear into fascination with this guide.

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.

Artificial intelligence is already penetrating into the smallest and most private areas of our lives. Even in the field of computer games, social networks or the digital sex industry, human and non-human relationships are already merging. This interlinking of the virtual and the real world, spurred on by improved AI technology, will continue to gain momentum, and of course this will have an impact on our social behavior. The discussion about both the good and dubious implications of these developments cannot be initiated early enough.

In an era where the world seems to change faster than ever before, it can be daunting to keep up, especially when the rules of earning a living are being rewritten by technology. For those of us who have seen decades come and go, the idea of making money from the comfort of home—using nothing more than an internet connection and a willingness to learn—was once unimaginable. Yet here we are, standing at the crossroads of experience and innovation, with opportunities waiting around every digital corner.

“A delightful global tour of how humans think and play, led by one of our finest mathematical storytellers.” — Ben Orlin, author of Math Games with Bad Drawings Where should you move first in Connect 4? What is the best property in Monopoly? And how can pi help you win rock paper scissors?...

Master DeepSeek AI in Just 2 Hours—No Jargon, No Overwhelm. Ever felt like AI tools were made for techies, not real people? Think again. DeepSeek Made Simple is your fast-track guide to mastering one of the world’s fastest-growing AI tools—without needing a tech background.

Build Profitable AI-Powered Products, Services, and Automations—Without the Overwhelm If you’ve been curious about using AI to start or grow your business but feel lost in the sea of tools, tech jargon, and hype, you’re not alone. The truth is, you don’t need coding skills, expensive consultants, or months of trial and error to create something that sells. The ChatGPT-5 Business Blueprint is your step-by-step guide to turning AI into your most reliable business partner—whether you want a $1,000-a-month side hustle or a $10K+ scalable venture.

In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI.

In Part I, this book develops the Cognitive Amplifier Loop, which allows humans to use AI to build on their cognitive and emotional strengths and manage their limitations. Kosslyn discusses ways to employ this loop to offload tasks to AI and to utilize it to train us effectively and efficiently, as well as how to use it to both learn and engage in critical thinking and creative problem-solving—and manage cognitive and emotional constraints. Part II establishes how to draw on the Cognitive Amplifier Loop to help us improve our human relationships.

In 1931, a young woman writer living in Germany was inspired by Anita Loos's Gentlemen Prefer Blondes to describe pre-war Berlin and the age of cinematic glamour through the eyes of a woman. The resulting novel, The Artificial Silk Girl, became an acclaimed bestseller and a masterwork of German literature, in the tradition of Christopher Isherwood's Berlin Stories and Bertolt Brecht's Three Penny Opera. Like Isherwood and Brecht, Keun revealed the dark underside of Berlin's "golden twenties" with empathy and honesty.