Today, artificial intelligence accompanies humans almost daily. Neural networks and smart machines have ceased to be the subject of reflections of only science fiction writers and futurologists, having become an integral part of our reality.
Neural networks help us learn. They search for information and create content. They communicate with companies and in many other routine tasks. Thanks to their ability to classify and recognize data, they are also used to solve complex problems. Including making predictions about the results of stock trading or the consequences of earthquakes or providing different results for gambling with TonyBet Sportsbook.
We made a selection of books. They will allow you to learn about the origins of technology. Also, you will trace the stages of its development and reflect on the mutual influence.
Table of Contents
Life 3.0. Being Human in the Age of Artificial Intelligence By Max Tegmark
This popular science book by physicist, cosmologist, and MIT professor Max Tegmark is a New York Times bestseller. The author asks questions. Whether a person will be able to control thinking machines, or rather they will begin to control him. What it means to remain human in the era of artificial intelligence.
Tegmark is concerned that AI will bring unpredictable consequences associated with the loss of control over superintelligence. There are even cyber wars. That is how he calls for the combined efforts of specialists in the field of AI technologies.
Deep Learning By Ian Goodfellow
Students, graduate students, and experienced programmers who want to apply deep learning to their products or platforms can consider this book as a base and reference. Here are the mathematical and conceptual foundations of linear algebra. You can find it in the book so as probability theory and information theory. Also, fields with numerical calculations and machine learning. Everything is presented in the volume necessary for understanding the material.
Goodfellow describes techniques that are applied in practice. They are considered as natural languages. They are processing and speech recognition applications, computer vision, online recommender systems, bioinformatics, and video games. It also talks about promising areas of research.
The AI Economy: Work, Wealth and Welfare in the Age of the Robot By Roger Bootle
Roger Bootle is a well-known British economist, founder, and CEO of Capital Economics. It is Europe’s largest macroeconomic consulting company. A regular columnist for The Daily Telegraph.
In his book, Bootle explains the essence of artificial intelligence in simple language. He tries to help the reader prepare for the innovative future that is not far off. The author offers a rational approach to understanding exactly how the AI revolution will affect everyone. How it will affect the economy, inflation, and the distribution of wealth and power. How it will influence the way we learn and work, our leisure time, and much more.
Deep Learning IIllustrated By John Krohn, Grant Bijleveld, Aglaé Bassens
In this book, data science experts John Krohn and Grant Bijleveld, and illustrator Aglaé Bassens, use powerful illustrations. Simple examples and analogies are here to explain what deep learning is. Why it’s popular, and how it relates to other machine-learning approaches.
Although the authors try to save the reader from having to delve into the complex aspects of constructing deep learning models. They are making complex tasks accessible. The book will be of interest to people of all levels of digital training. Including established developers, data scientists, researchers, analysts, and novice programmers who want to apply deep learning in their work.
Homo Robotic? People and Machines in Search of mutual understanding By John Markoff
Writer and journalist John Markoff has been writing about science and technology for The New York Times since 1988. In this book, Markoff reflects on the future relationship between humans and machines. Already, we are interacting with mechanical replicas of people in video games or in virtual systems for a significant part of our time. The author turns to specialists and tries to analyze their experiences and considerations.
Experts see the place of a person in the new world in different ways. Markoff cites a whole range of opinions. Computer scientists, programmers, roboticists, and neuroscientists believe that humanity is approaching a turning point. At this point, artificial intelligence will surpass humans. Our world will change forever.
AI-2041. Ten Visions Of Our Future By Kai-fu Lee, Chen Qiufan
Kai-Fu Lee, Ph.D., scientist and venture capitalist, created the world’s first large vocabulary speech recognition system and founded Microsoft Research Asia. The institute that trained most of the AI leaders in China. Included in the list of 100 most influential people in the world according to The Times. Chen Qiufan is a novelist and president of the World Chinese Science Fiction Association. He runs Noitom Ltd., a start-up dedicated to the virtual reproduction of human movement and interaction with the environment.
Taking artificial intelligence as the defining event of the 21st century, Li and Qiufan aim to envision our world in 2041. Showing us how it will be shaped by AI. In ten stories, the authors introduce readers to the possible realities of a collective future. Reflecting on the benefits of AI and the new risks. They entail existential dangers. Li and Qiufan urge us to remember that humanity remains the author of its own destiny.
