Bio Inspired Computing

What Is Bio Inspired Computing

The subject of research known as bio-inspired computing, which is short for biologically inspired computing, is one that focuses on finding solutions to issues in computer science by employing biological models. Connectionism, emergent behavior, and emergence are all related to this concept. Within the field of computer science, artificial intelligence and machine learning are related to the concept of bio-inspired computing. The field of natural computation includes a significant subfield known as bio-inspired computing.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Bio-inspired computing

Chapter 2: Connectionism

Chapter 3: Evolutionary computation

Chapter 4: Computational neuroscience

Chapter 5: Neuromorphic engineering

Chapter 6: Cognitive architecture

Chapter 7: Neural network

Chapter 8: Artificial brain

Chapter 9: Computational neurogenetic modeling

Chapter 10: Spiking neural network

(II) Answering the public top questions about bio inspired computing.

(III) Real world examples for the usage of bio inspired computing in many fields.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of bio inspired computing.

What Is Artificial Intelligence Series

The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field.
The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.