reinforcement learning
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Google AI is now piloting Loon's internet-beaming balloons
The reinforcement learning model guides balloons much more efficiently.
Facebook's new robot AI can get around efficiently without using a map
It's already possible for robots to navigate without maps, but having them navigate well is another matter. You don't want them to waste time backtracking, let alone fall down if they bump into an unexpected obstacle. Facebook might have a solution. It recently developed a distributed reinforcement learning algorithm that not only reaches its destination 99.9 percent of the time without using maps, but can do so with just a three percent deviation from the ideal path. DD-PPO (Decentrialized Distributed Proximal Policy Optimization), as it's called, doesn't need more than a standard RGB camera with depth data, GPS and a compass.
AI learns to solve a Rubik's Cube in 1.2 seconds
Researchers at the University of California, Irvine have created an artificial intelligence system that can solve a Rubik's Cube in an average of 1.2 seconds in about 20 moves. That's two seconds faster than the current human world record of 3.47 seconds, while people who can finish the puzzle quickly usually do so in about 50.
Robot Archer iCub learns to shoot arrows, pierces our mortal heart (video)
How do you make a creepy baby robot downright cute? Give it an Indian headdress and teach it the bow-and-arrow, of course. The same team of researchers who brought us the pancake-flipping robot arm have imbued this iCub with a learning algorithm that lets it teach itself archery much the same as a human might do, by watching where the suction-tipped arrow lands and adjusting its aim for each subsequent shot. In this case, it obtained a perfect bullseye after just eight attempts. Watch it for yourself after the break, and ponder the fate of man -- how can we possibly stop an uprising of adorable robots that never miss?
