Machine Intelligence

Leading innovation expert Alec Ross explains what's next for the world, mapping out the advances and stumbling blocks that will emerge in the next 10 years - for businesses, governments, and the global community - and how we can navigate them.

Yes, you can succeed in an AI-driven world by unleashing your potential in machine learning! A working knowledge of AI and ML is no longer a “nice-to-have” but an “essential” in today's job market. But what if you feel lost amid the tech jargon? What if terms like “algorithms”, “neural networks”, or “data preprocessing” sound like a foreign language to you?

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

As Vikram Mansharamani shows in this eye-opening book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. We've stopped thinking for ourselves. Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively. The author provides principles and techniques for doing just that, empowering listeners with a more critical and nuanced approach to making decisions.

As artificial intelligence (AI) becomes more and more woven into our everyday lives—and underpins so much of the infrastructure we rely on—the ethical, security, and privacy implications require a critical approach that draws not simply on the programming and algorithmic foundations of the technology. Bringing together legal studies, philosophy, cybersecurity, and academic literature, Beyond the Algorithm examines these complex issues with a comprehensive, easy-to-understand analysis and overview.

Make better decisions with this easy deconstructed guide to data analytics. Want to add data analytics to your skill stack? Having trouble finding where to start? Cell-by-cell, bit-by-bit, this audiobook teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Like putting together a complex Lego set, each section connects and adds individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems.

Either if you want to start your own AI enterprise, to empower your business or to work in the greatest and most innovative companies, Artificial Intelligence is the future, and neural networks programming is the skill you want to have. The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to program and use neural networks, and to do that Neural Networks for Beginners is the perfect way.

In this audiobook, you’ll find information on artificial intelligence (AI), psychopaths, and split personality disorder. This guide contains the answers to many questions and answers related to these subjects. Don’t keep yourself in the dark about these important issues.

In the coming decades, artificial intelligence (AI) could revolutionize the way humans wage war. The military organizations that best innovate and adapt to this AI revolution will likely gain significant advantages over their rivals. To this end, great powers such as the United States, China, and Russia are already investing in novel sensing, reasoning, and learning technologies that will alter how militaries plan and fight. The resulting transformation could fundamentally change the character of war.

In today’s rapidly evolving digital landscape, the emergence of generative artificial intelligence (AI) has marked a pivotal shift in how businesses operate, innovate, and compete. “The A-Z of Generative AI—A Guide to Leveraging AI for Business” is not a technical manual filled with jargon; instead, it’s a comprehensive guide designed specifically for non-technical audiences. It breaks down the complex world of Generative AI into understandable, bite-sized pieces, making it accessible to everyone, regardless of their technical background.

Inside this captivating guide, you'll discover a treasure trove of strategies, tips, and real-world examples that will empower you to break free from the traditional nine-to-five drudgery and pave the way toward a life of abundant wealth and leisure.

The AI Revolution in Customer Service and Support is a practical guide for professionals who want to harness the power of generative AI within their organizations to create more powerful customer and employee experiences.

Unlock the full potential of AI in education and transform your classroom into a personalized, efficient learning environment! Our book offers proven strategies, ethical considerations, and cost-effective tools to successfully integrate AI into your educational scenario. Gain comprehensive access to an ever-evolving resource page that alone exceeds the cost of the book.

Dive into the future of freelancing with "AI Freelancing 101," the ultimate guide for ambitious individuals ready to harness the power of artificial intelligence to transform their careers. Whether you're a complete novice in the tech world or a seasoned professional looking to pivot into a lucrative niche, this book is your comprehensive roadmap to achieving a six-figure income through AI freelancing.

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!

Unlock the potential of Generative AI with this guide to integrating powerful technology into your life. This book explores AI's transformative capabilities and provides practical tutorials to harness its vast potential. “Understanding Generative AI for Beginners” breaks down complex concepts into actionable insights and applications, ensuring you leverage AI effectively. This guide delves into AI's history, its applications across industries, and the tools that power it.

Internationally renowned privacy expert Daniel J. Solove draws from a range of fields, from law to philosophy to the humanities, to illustrate the profound changes technology is wreaking upon our privacy, why they matter, and what can be done about them. Solove provides incisive examinations of key concepts in the digital sphere, including control, manipulation, harm, automation, reputation, consent, prediction, inference, and many others.

High performing organizations see better results than their contemporaries and have more satisfied employees. This book clarifies this unique point in history where key technologies like AI, collaboration platforms, and low code development have converged to transform project and work management and provides practical strategies for seizing this moment to become a higher performing organization with happier people. In the ever-evolving landscape of business and technology, project management stands as a critical pillar, orchestrating the rhythm of progress and innovation.

It seems that just about every new technology that we bring to bear on improving our lives brings with it some downside, side effect, or unintended consequence. These issues can pose very real and growing ethical problems for all of us. For example, automated facial recognition can make life easier and safer for us—but it also poses huge issues with regard to privacy, ownership of data, and even identity theft. Technology Is Not Neutral addresses one of today’s most pressing problems: How to create and use tools and technologies to maximize benefits and minimize harms.

Desde mediados de la década de 2000, la inteligencia artificial (IA) se ha expandido a gran velocidad a nivel mundial, como campo académico y como industria. Pero ¿es posible crear inteligencia? ¿Cómo son los sistemas de IA que se desarrollan a escala planetaria? ¿Qué tipos de políticas están contenidas en el modo en que esos sistemas cartografían e interpretan el mundo? ¿Cuáles son las consecuencias de incluir la IA en los sistemas de toma de decisiones en los lugares de trabajo, la educación, la salud, las finanzas, la justicia y el gobierno?