Shulou(Shulou.com)11/24 Report--

CTOnews.com, August 31 / PRNewswire-Asianet /-- artificial intelligence (AI) has beaten humans in chess, video games and other fields, and now AI has beat human champions for the first time in a real sport designed and participated by humans.

The latest humans to be defeated by AI are three world champions in drone racing, losing to an AI that can fly fast on a three-dimensional track. The AI drone, called Swift, was developed by researchers at the University of Zurich. Swift can fly at extremely fast speeds without crashing or with as few crashes as possible.

The researchers published their results in the journal Nature and described a series of competitions between Swift and three champions of drone racing. CTOnews.com noted that Swift won 15 of the 25 races and set the fastest lap record.

Swift uses a technique called deep reinforcement learning to find the best instructions to fly on the track through repeated attempts. During the training, Swift crashed hundreds of times in a simulated environment, but because it was a simulation, the researchers could simply start over. During the race, Swift sends video from the camera on the drone to a neural network that can detect doors on the track. This information is combined with inertial sensor readings to estimate the position, direction and speed of the UAV. These estimates are then fed into another neural network, which can calculate the instructions sent to the UAV.

Compared with human competitors, Swift starts the race faster and turns tighter. Swift's fastest lap time is 17.47 seconds, half a second faster than the fastest human runner. But Swift is not invincible. It loses 40% of its games against humans and has crashed several times.

A key advance in Swift is its ability to adapt to real-world challenges, such as aerodynamic turbulence, blurred cameras and changes in lighting, which can lead to errors in systems that try to follow pre-calculated trajectories. The developers of Swift say the technology can also be used in other areas, such as fire search and rescue or inspection of large structures such as ships.

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