Welcome to TechTalks' AI book reviews, a series of posts that explore the latest literature on AI. In the past six decades, the field of artificial intelligence has traveled through a meandering path, passing through periods of excitement and disenchantment, and a longstanding dispute between various approaches to creating intelligence. Today, deep learning, the current dominant AI technique, owes its success in large part to an abundance in data and compute resources. Thanks to deep learning models and their underlying technology, artificial neural networks, we have been able to tackle problems that were impossible to solve with classical AI approaches. There are now AI algorithms that can outperform humans at many complicated tasks, such as playing Go or predicting cancer.