You're reading from Artificial Intelligence By Example Acquire advanced AI, machine learning, and deep learning design skills

Product type Paperback

Published in Feb 2020

Publisher Packt

ISBN-13 9781839211539

Length 578 pages

Edition 2nd Edition

Languages

Python

Tools

TensorFlow

Concepts

Artificial Intelligence

Author (1):

Denis Rothman

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Table of Contents (23) Chapters

Preface

1. Getting Started with Next-Generation Artificial Intelligence through Reinforcement Learning

2. Building a Reward Matrix – Designing Your Datasets FREE CHAPTER

3. Machine Intelligence – Evaluation Functions and Numerical Convergence

4. Optimizing Your Solutions with K-Means Clustering

5. How to Use Decision Trees to Enhance K-Means Clustering

6. Innovating AI with Google Translate

7. Optimizing Blockchains with Naive Bayes

8. Solving the XOR Problem with a Feedforward Neural Network

9. Abstract Image Classification with Convolutional Neural Networks (CNNs)

10. Conceptual Representation Learning

11. Combining Reinforcement Learning and Deep Learning

12. AI and the Internet of Things (IoT)

13. Visualizing Networks with TensorFlow 2.x and TensorBoard

14. Preparing the Input of Chatbots with Restricted Boltzmann Machines (RBMs) and Principal Component Analysis (PCA)

15. Setting Up a Cognitive NLP UI/CUI Chatbot

16. Improving the Emotional Intelligence Deficiencies of Chatbots

17. Genetic Algorithms in Hybrid Neural Networks

18. Neuromorphic Computing

19. Quantum Computing

20. Answers to the Questions

21. Other Books You May Enjoy

22. Index

Neuromorphic Computing

Our brain activates thousands or even billions of neurons when necessary, getting our body battle-ready to face any situation. As we saw in Chapter 17, Genetic Algorithms in Hybrid Neural Networks, evolution has fined-tuned biological capacities over thousands of generations and millions of years.

In this chapter, we will take a deeper look into the cognitive power inside our bodies. We will go from the chromosomes of the previous chapter to biological neurons that make us intelligent creatures. The neurons interact in billions of ways producing cognitive patterns leading to mind structures.

Neuromorphic computing taps into the tremendous optimized power of our brain, which surprisingly consumes very little energy. On average, we consume a few watts, less than a lightbulb, to solve very complex problems. In itself, this shows that the neuronal structure of our brain has a unique architecture that we have yet to reproduce physically.

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