Artificial Intelligence Theory

Ever wondered how your favorite apps predict your preferences or how self-driving cars navigate the roads? Welcome to the world of Machine Learning, where these wonders come to life! "Introduction to Machine Learning" is your ticket to unraveling the mysteries of this groundbreaking technology without the need for a PhD!

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

Discover how to grow your income instantly with a new side hustle using ChatGPT—even if you’ve never worked as a freelancer before. The gig economy is growing at lightning speed, with over 50% of the US workforce likely to form part of it by 2027. New remote working arrangements, the cost of living, and a demand for greater flexibility have all inspired you to “be your own boss” and work at your own pace.

The fruit of the long history of John Brockman's profound engagement with the most important scientific minds who have been thinking about AI - from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram - Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures are deeply concerned with the threat of AI, including the existential one, while others have a very different view.

This is the first reference book on intelligent automation (IA). Also called hyperautomation, it is one of the most recent trends in the field of artificial intelligence. IA is a cutting-edge combination of methods and technologies involving people, organizations, machine learning, low-code platforms, robotic process automation (RPA), and more. This book is for everyone - whether you are an experienced practitioner, new to the topic, or simply interested in what the future holds for enterprises, work, life, and society as a whole.

From the simple to the intricate and the audacious to the absurd, Adam Kucharski reveals the long and tangled history between betting and science and explains why gambling continues to generate insights into luck and decision making today. Covering exploits and ideas from across the globe, he meets the teams behind hedge funds that capitalize on inaccurate sports betting odds and explains how PhD-level pundits are using methods originally developed for the US nuclear program to predict sports results.

In Trivergence, Bob Tapscott, writer, speaker, complex system designer, and former CIO, introduces an exciting new concept in explaining how the intersection of artificial intelligence (AI), blockchain, and the Internet of Things (IoT) will transform business and society.

Dive into the future of AI with this audiobook! Embodied AI is transforming the world by seamlessly integrating advanced technologies into real-world applications. This audiobook offers an in-depth exploration of how AI is bridging the gap between simulations and reality. Discover the secrets of Embodied AI and learn how it’s revolutionizing industries. From innovative techniques like Sim2Real Transfer to the latest in Multimodal Perception, this audiobook covers it all.

Artificial General Intelligence (AGI) has the potential to revolutionize many aspects of our lives, from healthcare and transportation to education and energy. However, with this potential comes significant risks and potential negative impacts. As we continue to make progress towards developing AGI, it is essential to explore its potential implications and establish guidelines for its responsible development and use.

Spotting a face in a crowd is so easy, you take it for granted. But how you do it is one of science's great mysteries. And vision is involved with so much of everything your brain does. Explaining how it works reveals more than just how you see. In We Know It When We See It, Harvard neuroscientist Richard Masland tackles vital questions about how the brain processes information - how it perceives, learns, and remembers - through a careful study of the inner life of the eye.

Artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past.

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.

With the world of AI-based passive income rapidly expanding, it can be intimidating to know where to begin. That's where our expert guide comes in.

Sexual activity is central to our very existence; it shapes how we think, how we act and how we live. With advances in technology come machines that may one day think independently. What will happen to us when we form close relationships with these intelligent systems? Sex robots are here and here to stay, and more are coming. This audiobook explores how the emerging and future development of sexual companion robots might affect us and the society in which we live. It explores the social changes arising from emerging technologies and our relationships with the machines that may someday care for us and about us.

Hoy en día, el mundo se vacía de cosas y se llena de información inquietante como voces sin cuerpo. La digitalización desmaterializa y descorporeíza el mundo. En lugar de guardar recuerdos, almacenamos inmensas cantidades de datos. Los medios digitales sustituyen así a la memoria, cuyo trabajo hacen sin violencia ni demasiado esfuerzo. La información falsea los acontecimientos.

You’ve tried traditional teaching methods; you’ve tried more modern approaches… but the challenge remains the same: You have more needs to cater to than one person can reasonably handle. You’re one person, and you can’t do it all… but there’s a tool that could help you. When you integrate AI into your learning environment, you can tailor assignments to the specific needs of each individual in your class, getting instant feedback to help you plan the next move and keep your students engaged.

Humanity has reached a critical moment. Our world is unsettled and rapidly changing, and we face existential risks over the next century. Various outcomes - good and bad - are possible. Yet our approach to the future is characterized by short-term thinking, polarizing debates, alarmist rhetoric, and pessimism. In this short, exhilarating book, renowned scientist and best-selling author Martin Rees argues that humanity’s prospects depend on our taking a very different approach to planning for tomorrow.

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.

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 Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.