Beyond representing a digital revolution through disruptive technologies, artificial intelligence (AI) is reshaping businesses and professions, consolidating a new market. According to Spherical Insights, the sector could reach $2.76 trillion by 2032.
With great opportunities and challenges, generative artificial intelligence still has much room for exploration. As new tools are developed and solutions like ChatGPT evolve, learning about artificial intelligence is essential for anyone looking to stay updated. Thus, it’s worth knowing about five books that can help you learn more about this technology.
1. AI 2041: Ten Visions of the Future
Kai-Fu Lee and Chen Qiufan
Available in Portuguese
The book ‘AI 2041: Ten Visions of the Future’ presents a futuristic approach to how artificial intelligence will be integrated into society. Blending fiction and reality, the work features ten stories that provide an expanded vision of the impact the technology could have in the coming years.
2. Artificial Intelligence for Dummies
John Paul Mueller and Luca Massaron
Available in English
This guide introduces the fundamental concepts of artificial intelligence through simple and concise language. Ideal for those looking to understand the entire mechanism behind the technology, the book includes information about neural networks and machine learning.
3. Artificial Intelligence
Stuart Russell and Peter Norvig
Available in Portuguese
Considered one of the most comprehensive works on the subject, the book ‘Artificial Intelligence’ covers all the concepts involved in the development of the technology, including foundational and advanced topics such as natural language processing and techniques encompassing robotics and the standardization of AI tools.
4. AI Superpowers: China, Silicon Valley, and the New World Order
Kai-Fu Lee
Available in English
The global race to lead artificial intelligence initiatives is being led by China and the United States—a digital competition spanning from Silicon Valley to a new world order. This book explores the economic, social, and ethical aspects of the technology’s development.
5. Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow (2nd Edition)
Aurélien Géron
Available in English
This work represents a practical guide to machine learning models and the use of artificial intelligence tools. The book is recommended for scientists and students seeking to develop digital solutions based on disruptive technology, featuring updates that integrate the current landscape of this market in its second edition.
It’s time to dive into reading!
