NGraph: A New Open Source Compiler for Deep Learning Systems

Using Evolutionary AutoML to Discover Neural Network Architectures

The brain has evolved over a long time, from very simple worm brains 500 million years ago to a diversity of modern structures today. The human brain, for example, can accomplish a wide variety of activities, many of them effortlessly — telling whether a visual scene contains animals or buildings feels trivial to us, for example. To perform activities like these, artificial neural networks require careful design by experts over years of difficult research, and typically address one specific task, such as to find what’s in a photograph, to call a genetic variant, or to help diagnose a disease.

Apps like Waze, Google Maps, and Apple Maps may make traffic conditions worse in some areas, new research suggests

Baidu Apollo Releases Massive Self-driving Dataset; Teams Up With Berkeley DeepDrive