Besides 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 can reach US$ 2.76 trillion by 2032.
With great opportunities and challenges, generative artificial intelligence still has plenty of room for exploration. With new tools being developed and the evolution of solutions like ChatGPT, learning about artificial intelligence is essential for those who want to stay updated. Thus, it is worth knowing about five books that can help 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 incorporated into society. Combining fiction and reality, the work presents ten stories that provide an expanded view of the impact that technology can have in the coming years.
2. Artificial Intelligence for Dummies
John Paul Mueller and Luca Massaron
Available in English
This guide presents the fundamental concepts of artificial intelligence through a simple and concise language. Ideal for those looking to understand the technology mechanism, the book provides information on neural networks and machine learning.
3. Artificial Intelligence
Stuart Russell and Peter Norvig
Available in Portuguese
Considered one of the most complete works on the subject, the book “Artificial Intelligence” addresses all concepts involving technology development, with advanced foundations and topics such as natural language processing and techniques covering robotics and standardization of artificial intelligence tools.
4. AI Superpowers: China, Silicon Valley, and the New World Order
Kai-Fu Lee
Available in English
The global competition to lead artificial intelligence initiatives is led by China and the United States, a digital competition that involves everything from Silicon Valley to a new world order, and has been transformed into a book that addresses economic, social, and ethical aspects in technology development.
5. Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow (2nd Edition)
Aurélien Géron
Available in English
The work represents a practical guide with machine learning models and the use of artificial intelligence tools. The book is recommended for scientists and students looking to develop digital solutions based on disruptive technology, with updates that integrate the current market scenario in its second edition.
It’s time to dive into reading!
