Evolutionary algorithm outperforms deep-learning machines at video games

With all the excitement over neural networks and deep-learning techniques, it's easy to imagine that the world of computer science consists of little else. Neural networks, after all, have begun to outperform humans in tasks such as object and face recognition and in games such as chess, Go, and various arcade video games. These networks are based on the way the human brain works. Nothing could have more potential than that, right? An entirely different type of computing has the potential to be significantly more powerful than neural networks and deep learning.