Decoding AI: A Non-technical Explanation of Artificial Intelligence

Decoding AI breaks down the complexities of AI into digestible concepts, walking you through its history, evolution, and real-world applications.

We'll introduce you to the key players in the AI field, as well as explain the underlying algorithms, data, and machine learning concepts that power AI systems. You'll gain a deeper understanding of deep learning, neural networks, and reinforcement learning, and we'll explore various types of AI, from rule-based systems to probabilistic networks and beyond.

The goal was to make this book an approachable discovery of how AI works.

It discusses a wide range of applications AI has in areas like natural language processing, computer vision, robotics, and predictive analytics. It also delves into the regulatory landscape and policy issues surrounding AI, as well as the potential future developments in AI, such as its applications in healthcare, education, transportation, and even space exploration.

You'll also learn the difference between narrow AI and Artificial General Intelligence (AGI), and how to get started with using AI through tips and resources.