Science Artificial Intelligence

"AI and the Future of Affiliate Marketing" is not just an audiobook; it's an essential tool for anyone looking to capitalize on the opportunities presented by AI in the digital marketing space. Equip yourself with the knowledge and skills to harness the power of AI, drive traffic, increase conversions, and achieve online financial success.

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.

Feeling stuck in the 9-to-5 grind? Wondering how others are making $10K/month with AI while you're still "figuring it out"? Tired of watching the AI gold rush from the sidelines and feeling like it's passing you by? It’s time to stop scrolling and start earning. ChatGPT Side Hustles 2025 is your no-fluff blueprint to building real, scalable income streams using ChatGPT—even if you have zero tech skills or experience.

Navigating the AI landscape can be intimidating, especially for non-technical leaders. But no matter your experience level, this book and its Companion Workbook are here to help!

What if our civilization is more advanced than we know? The New York Times bestselling author of Daemon—“the cyberthriller against which all others will be measured” –Publishers Weekly) —imagines a world in which decades of technological advances have been suppressed in an effort to...

The rise of artificial technology has seen a total change in the way we live our lives, interact, and function in the world. It has infiltrated our reality at every given turn and there appears to be no turning back now. Data science, advanced algorithms, and pattern recognition are now becoming so advanced, but what are the consequences for this progress and has anybody stopped to think about the potential consequences to our innate humanness and spirit?

From product design and financial modeling to performance management and hiring decisions—artificial intelligence and machine learning are becoming everyday tools for managers at businesses of all sizes. But the rewards of every AI system come with risks—and if you don't understand how to make sense of them, you're not going to make the right decisions. Whether you want to get up to speed quickly, could just use a refresher, or are working with an AI expert for the first time, HBR Guide to AI Basics for Managers will give you the information and skills you need.

Artificial intelligence is driving workforce disruption on a scale not seen since the Industrial Revolution. Automation was once associated with mass layoffs in heavy industry like auto and steel, but computers are getting smarter and are beginning to replace traditionally 'white collar' roles like law, consulting, banking and finance. Yet some curious findings are emerging from the world's leading research labs.

Die Schriftstellerbranche bietet unzählige Möglichkeiten, die sich frühere Generationen nicht hätten vorstellen können. Dennoch fällt es den meisten Autoren schwer, ein nachhaltiges Einkommen zu erzielen, da sie sich ausschließlich auf ihr Handwerk konzentrieren und die geschäftlichen Aspekte außer Acht lassen, die erfolgreiche Profis von denen unterscheiden, die ständig finanzielle Schwierigkeiten haben.

There has been a lot of ink devoted to discussions of how robots will replace us and take our jobs. But MIT Media Lab researcher and technology policy expert Kate Darling argues just the opposite, and that treating robots with a bit of humanity, more like the way we treat animals, will actually serve us better.

The UFS Phoenix is finally homeward bound. On the way is Tuki Station, in barabo space, hit just now by a force of sard ships, working in concert with a larger invasion from alo space. An alo and deepynine fleet has attacked, and humanity's forces are in turmoil despite all of Phoenix's efforts over the past three years to prepare them. Nia leads the assault, Styx's old AI queen nemesis from the Drysine/Deepynine War, the greatest armed conflict in Spiral history, 25,000 years ago. But what does Nia seek?

A news-breaking account of the global stock market's subterranean battles, Dark Pools portrays the rise of the "bots"- artificially intelligent systems that execute trades in milliseconds and use the cover of darkness to out-maneuver the humans who've created them. In the beginning was Josh...

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.

Many people have unanswered questions about artificial intelligence. Today, the majority of those questions will likely be answered. Concerns will be addressed, and examples will be given. This book starts off with a question and answer section about artificial intelligence. It then proceeds to cover specific artificially intelligent applications, such as chatbots and robotics. These pages will show details of things that puzzle many people’s minds. But you won’t be left in the dark and will enjoy the full benefits of this knowledge. Start listening now!

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.

If you've been following the news, you probably know that artificial intelligence is taking over. Self-driving trucks, face recognition, machines, and automatic cashiers are becoming the replacement for regular human beings. If you want to learn more about artificial intelligence, where it comes from, how some of it works, and what the future might look like, this audiobook is for you.

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.

In The Experimentation Machine, HBS professor, entrepreneur, and venture capitalist Jeffrey J. Bussgang reveals how AI is transforming the way startups find product-market fit and scale.

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.

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.