Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins - Gary Kasparov with Mig Greengard (2018)

The book tells a great deal about the history of machines playing chess. I was surprised by the level of understanding Kasparov has of AI. Generally, explaining the concepts to a non-technical audience is not easy. However, this book carries on into it with utmost ease. I will still believe the book has lost its meaning in today's world of AI. The chess-playing of 1997 by a computer is very different from 2018. In the afterword, he states the AlphaGo-like machines based on reinforcement learning (type C) are taking over the game's strategy. The type-A or type-B machines based on search are a thing of the past. The book may not satisfy the interest of a technical audience but will keep you engaged. Hence, recommended. 

Learning GraphQL - Eve Porcello and Alex Banks (2018)

A breeze read for a quick grasp of the GraphQL API design. The last three chapters, 5, 6, and 7, are implementation-specific. Depending on the tools you choose, you may want to skip those. The first four chapters provide a conceptual understanding of the technology. 

I shall recommend this book to newbies to the technology.