Google uses neural networks to improve image compression

A research team at Google has developed a way to use neural networks to compress image files in a more efficient way than current methods, such as the JPEG standard. The team built an artificial intelligence system using Google's open source TensorFlow machine learning system, and then used 6 million random reference photos from the internet that had been compressed using conventional methods to train it. The images were split into small pieces measuring 32 x 32 pixels each. The system then anal...