Artificial Intelligence and Brain Research: Neural Networks, Deep Learning and the Future of Cognition

Krauss, Patrick

ISBN 10: 3662689790 / ISBN 13: 9783662689790

Published by Springer, 2024

About this Item

Seller Inventory # 18402157448

Bibliographic Details

• Title: Artificial Intelligence and Brain Research: Neural Networks, Deep Learning and the Future of Cognition
• Publisher: Springer
• Publication Date: 2024
• Language: English
• ISBN 10: 3662689790
• ISBN 13: 9783662689790
• Binding: Soft cover
• Condition: New

About this title

Synopsis

How does artificial intelligence (AI) work and are there parallels to the human brain? What do natural and artificial intelligence have in common, and what are the differences? Is the brain nothing more than a biological computer? What are neural networks and how can the term deep learning be explained simply?

Since the cognitive revolution in the middle of the last century, AI and brain research have been closely intertwined. There have been several spectacular breakthroughs in the field of AI in recent years, from alphaGo to DALL-E 2 and ChatGPT, which were completely unthinkable until recently. However, researchers are already working on the innovations of tomorrow, such as hybrid machine learning or neuro-symbolic AI. But what does this actually mean?

Based on current research findings and exciting practical examples, this non-fiction book provides an understandable introduction to the basics and challenges of these fascinating disciplines. You will learn what neuroscience and psychology know about how the brain works and how artificial intelligence works. You will also learn how AI has revolutionized our understanding of the brain and how findings from brain research are used in computer science to further develop AI algorithms. Discover the fascinating world of these two disciplines. Find out why artificial intelligence and brain research are two sides of the same coin and how they will shape our future.

 

About the Author

Patrick Krauss studied medicine, computer science and physics. After completing his doctorate in neuroscience, he habilitated in linguistics on the subject of language processing in neural networks and the brain. He researches and teaches at the University of Erlangen-Nuremberg and the University Hospital Erlangen on topics at the interface of neuroscience, artificial intelligence and language. His scientific work includes over 80 publications.