The New Creative Machine-Learning World of GANs

The capabilities of artificial intelligence (AI) are growing exponentially, especially in the area of creating synthetic images that are photorealistic. In 2014, generative adversarial networks (GANs) were introduced. A few years later, bidirectional GANs (BiGANs) were created. Then came along BigGANs that outperformed state-of-the-art GANs in image synthesis. But wait, there's more: Last week researchers from Alphabet Inc.'s DeepMind debuted BigBiGANs.