Many impressive achievements have recently emerged in machine learning and narrow AI. For example, modern deep neural networks can recognize and even generate some types of patterns even better than humans can. Some experts think that deep learning is a direct road to artificial general intelligence, but others think differently and propose alternative ideas such as advanced spiking neural networks, neuromorphic architecture, or quantum computing.
This e-book will cover the main classes of machine learning and artificial neural networks, and how these computational approaches can help create artificial general intelligence.
In this e-book, you will find a quick explanation of two main methodologies for computation: classical and quantum computing, and how the principles of operation of those can be applied to building artificial intelligence.
In this e-book, you will find a gentle and math-free introduction to artificial intelligence and related subjects such as deep learning and quantum computations from a technical perspective and with respect to the latest technologies written for people who do not necessarily have a background in computer science, mathematics, or engineering
