Artificial intelligence is one of the terms that people use in technology nowadays most frequently. Thanks to technological advancements like Siri and Alexa, we are learning more about how computers can imitate human cognitive processes and even do tasks that were formerly considered too difficult for robots to complete.
Human Compatible: Artificial Intelligence and the Problem of Control
This book is about how people and artificial intelligence may coexist in a world where robots are becoming more intelligent all the time. Russell suggests that we might do this by rethinking how we approach AI systems. One of his suggestions is to build computers that are unclear of what people desire, making them obedient and determined to put people’s needs ahead of their own.
Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
The fundamental neural network learning approaches are introduced simply in this wonderfully illustrated book, and then in-depth mathematical research are presented. We discuss both contemporary deep neural networks and notable neural networks from the past (like perceptrons), such as generative adversarial networks. Students are given hands-on neural network training using online computer programs built from open-source sources, and teaching is additionally enhanced by using PowerPoint slides. A comprehensive lexicon, educational supplements (such Bayes’ theorem), and a list of further readings are all included in an approachable introduction to algorithmic engines of modern artificial intelligence.
Artificial Intelligence for Healthcare
This book walks you through existing and upcoming AI applications in healthcare, including several that are currently being created, as well as the relevance of AI in healthcare and how it is changing every part of healthcare. It also covers the principles of AI and how they work, the critical role AI plays in all key medical specialties, the ethical concerns surrounding AI in healthcare, and the roles start-ups and corporate enterprises play in AI in healthcare.
The Master Algorithm
“The Master Algorithm” is still relevant today, in the opinion of Matt Turck, an investor at FirstMark Capital who specializes in generative AI, and it is a terrific introduction to the field. It was “just one of those rare books that are approachable, compelling to read, and technically correct,” he remarked. In terms of how the topics were thought out, the book was innovative for its time.
A First Course in Artificial Intelligence
The first edition of Artificial Intelligence explores the core techniques and focuses particularly on the intelligence component, taking a bottom-up approach to problem-solving. The book examines many approaches to finding a solution, including Tabu Search and Beam Search, which are both traditional and modern. Due to the clear explanations of the ideas and the abundance of examples, photos, and discussion, the book is interesting to read.
