New A.I. application can write its own code

New AI Imaging Technique Reconstructs Photos with Realistic Results

To prepare to train their neural network, the team first generated 55,116 masks of random streaks and holes of arbitrary shapes and sizes for training. They also generated nearly 25,000 for testing. These were further categorized into six categories based on sizes relative to the input image, in order to improve reconstruction accuracy.

Accelerating Deep Neuroevolution: Train Atari in Hours on a Single Personal Computer

Why data scientists should start learning Swift

One week into my first year physics course at the University of Michigan, a professor assigned a problem set that required simulating some many-body system. It was due Friday. That was the week I learned my first programming language, Matlab.