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

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

Chapter 18 – Neuromorphic Computing

Neuromorphic computing reproduces our mental activity. (Yes | No)
No. That is the point. Neuromorphic begins with sub-symbolic low-level neuronal brain activity stimulations that do not form high-level mental activity yet. Our mental activity already uses symbols and contains representations in the form of words, images, numbers, and all kinds of constructions in general.

However, we can say YES if we are referring to the output results translated into mental activity. My point is that yes and no answers limit our views of AI.
Neuromorphic computing reproduces our brain activity. (Yes | No)
Yes. That is the point! The core concept is to go from brain activity to structures formed by neuron spikes.
Semantic Pointer Architecture (SPA) is a hardware architecture. (Yes | No)
No. Semantic pointers are like computer program pointers such as C++ pointers. The difference is that...