Computational Sciences and Artificial Intelligence in Industry: New Digital Technologies for Solving Future Societal and Economical Challenges

This book is a valuable resource for young researchers and engineers in Computational Science and Artificial Intelligence, covering innovative computational methods, digital machine learning tools, and their applications in solving industrial and societal problems.

Format: Hardback
Length: 275 pages
Publication date: 20 August 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book is meticulously crafted to cater to the needs of aspiring young researchers and engineers who are passionate about delving into the dynamic fields of Computational Science and Artificial Intelligence. It offers a comprehensive exploration of cutting-edge computational methods, digital machine learning tools, and their seamless integration, empowering readers to tackle complex industrial and societal problems with utmost efficiency.

Drawing upon the expertise of both academic scholars and industry professionals, this book serves as a valuable resource for those seeking to unravel the possibilities and confront the challenges associated with applying Computational Sciences and AI methods and tools in industrial and societal sectors. It serves as a comprehensive guide, offering the latest knowledge and insights to facilitate groundbreaking research and innovative solutions.

Whether you are a recent graduate or a seasoned professional looking to expand your knowledge and skills in these rapidly evolving fields, this book is an indispensable companion. It provides a solid foundation for understanding the theoretical principles and practical applications of Computational Science and AI, equipping you with the tools necessary to make a significant impact in your chosen profession.

So, embark on this transformative journey through the world of Computational Science and Artificial Intelligence with this exceptional book. Unleash your potential, explore new horizons, and contribute to the advancement of society as a whole by harnessing the power of cutting-edge technologies.
This book is a comprehensive resource for aspiring young researchers and engineers who are passionate about exploring the dynamic fields of Computational Science and Artificial Intelligence. It offers a comprehensive exploration of cutting-edge computational methods, digital machine learning tools, and their seamless integration, empowering readers to tackle complex industrial and societal problems with utmost efficiency.

Drawing upon the expertise of both academic scholars and industry professionals, this book serves as a valuable resource for those seeking to unravel the possibilities and confront the challenges associated with applying Computational Sciences and AI methods and tools in industrial and societal sectors. It serves as a comprehensive guide, offering the latest knowledge and insights to facilitate groundbreaking research and innovative solutions.

Whether you are a recent graduate or a seasoned professional looking to expand your knowledge and skills in these rapidly evolving fields, this book is an indispensable companion. It provides a solid foundation for understanding the theoretical principles and practical applications of Computational Science and AI, equipping you with the tools necessary to make a significant impact in your chosen profession.

The book is organized into five chapters, each dedicated to a specific aspect of Computational Science and Artificial Intelligence. The first chapter provides an introduction to the fields, highlighting their importance and potential applications. The second chapter explores computational methods, including numerical algorithms, optimization techniques, and simulation methods, and their applications in various industries. The third chapter delves into digital machine learning tools, such as neural networks, deep learning, and machine vision, and their role in solving complex problems. The fourth chapter discusses the integration of computational methods and digital machine learning tools for solving industrial and societal problems. The fifth chapter explores the challenges and opportunities associated with applying Computational Science and AI methods and tools in industrial and societal sectors.

Throughout the book, real-world case studies and examples are used to illustrate the practical applications of Computational Science and Artificial Intelligence. These case studies showcase the successful implementation of computational methods and digital machine learning tools in industries such as healthcare, finance, transportation, and energy.

In conclusion, this book is a must-read for aspiring young researchers and engineers who are eager to make a mark in the fields of Computational Science and Artificial Intelligence. It offers a comprehensive and up-to-date exploration of the latest knowledge and techniques, empowering readers to tackle complex industrial and societal problems with confidence and expertise.

Weight: 606g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030707866
Edition number: 1st ed. 2022