Someone has entered an AI in a Japanese mayoral race

This Chinese Facial Recognition Surveillance Company Is Now the World’s Most Valuable AI Startup

Towards a Virtual Stuntman

Motion control problems have become standard benchmarks for reinforcement learning, and deep RL methods have been shown to be effective for a diverse suite of tasks ranging from manipulation to locomotion. However, characters trained with deep RL often exhibit unnatural behaviours, bearing artifacts such as jittering, asymmetric gaits, and excessive movement of limbs. Can we train our characters to produce more natural behaviours?

How Lyft, Mastercard, and Drone Companies Are Experimenting With Artificial Intelligence