A Dozen Times Artificial Intelligence Startled The World

Generative Adversarial Networks (GANs) are some of the most fascinating ways to "teach" computers to do human tasks. We've always heard that competition can boost performance, but now GANs are taking "learning from Competition" to an industrial scale. Generative Adversarial Networks are defined by AI entities (Neural Networks) that compete with each other to get better at their respective tasks. Imagine a Malware bot competing against a Security bot, each relentlessly trying to execute its own objective (e.g. First coined by Ian Goodfellow from the University of Montreal, GANs have recently shown us the power of "Unsupervised Learning" due to their widespread success.