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TechnologyFor the first time, AI solves Rubik's Cube with no human help

19:15  16 july  2019
19:15  16 july  2019 Source:   msn.com

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A new neural-network can solve a Rubik ’ s cube twice as fast as the fastest human – though roughly three times slower than the fastest dumb algorithm – according to research published in Nature This concept is also at play for the machine. Finding shorter paths will, generally, take more time ."

Researchers developed a new AI system that has mastered solving the Rubik ' s Cube puzzle in just 44 hours without human intervention. Researchers have developed a new technique to help AI solve complex problems.

For the first time, AI solves Rubik's Cube with no human help© AFP PHOTO / THOMAS SAMSON How long does it take you to solve a Rubik's cube puzzle? Researchers have created an algorithm that can solve it in under a minute.

A paper written by researchers at the University of California and published Monday in Nature Machine Intelligence outlines the development of DeepCubeA, a computer algorithm that can solve a Rubik's Cube without human assistance in under a minute.

In a world first, researchers at the University of California have developed a computer algorithm that can solve a Rubik's Cube without a neural network, machine learning techniques, "specific domain knowledge," or human assistance.

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I have been solving the Rubik ' s Cube for 30 years, and have moves that no one else uses. This is not the layer by layer method. This is a new approach that sill shave time off of speed cube Rubiks cube is one of the most popular puzzle games in the world. It consists of a cube with 6 colors on the

The Rubik ’ s Cube with multicolored faces has, of course, compelled and confounded people since its invention in 1974 by Hungarian sculptor and architecture Rather, they were looking to build a deep learning model that could solve the Rubik ’ s Cube without any human help , much the way earlier

The algorithm, entitled DeepCubeA, solved 100% of the 1,000 test trials -- with each cube being scrambled between 1,000 and 10,000 times from the completion state -- using the smallest possible number of moves 60.3% of the time. In 36.4% of the trials, the algorithm solved the puzzle using just two moves more than the possible minimum.

In addition to being able to solve a Rubik's Cube, the DeepCubeA algorithm successfully completed additional types of puzzles including various tile sliding puzzles, Lights Out, and Sokoban. These were finished far more frequently than the Rubik's Cube using the smallest possible number of moves.

According to the scientists, "the generality of the core algorithm suggests that it may be applications beyond combinatorial puzzles, as problems with large state spaces and few goal states are not rare in planning, robotics and the natural sciences."

By successfully being able to solve a Rubik's Cube without initially being trained on previous information, the DeepCubeA algorithm represents the gradual shift in machines from making carefully-directed computations to making those which appear to resemble human-like reasoning and decision-making.

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