An Artificial Intelligence (AI) system developed by the researchers at the University of California added that the system has been able to solve the Rubik’s cube in just over a second. DeepCubeA the algorithm has been named completed a 3D logic puzzle that has been taxing humans since it was invented in 1974. The researchers added that the algorithm has been able to learn on its own with researchers noting that the strategy employed by the algorithm is different than the human way of tackling the puzzle.

Prof Baldi, who is a professor of computer science at the University of California, Irvine added that my best guess is that the AI’s form of reasoning is completely different humans have used. The study was published in the Nature machine intelligence saw that the algorithm is given 10 billion with different combinations of the puzzle with the given target of decoding them all in less than 30 seconds.  It was then tested on 1,000 of Rubik’s cube and managed to solve all of them, along with finding the shortest path to the solution for the 60 percent of the time. The humans that solve the puzzle usually do it in 50 moves, but the AI system was able to solve the complete Rubiks cube in average 28 moves.

This isn’t the first AI algorithm that could solve the puzzle faster than humans; MIT had designed a min2phase algorithm that solved the complete puzzle three times faster. But the system, however, did not use the neural network that mimics exactly how the human brains work or a complete machine learning technology and was programmed to solve the complete puzzle. In 2018, the company built a machine learning algorithm that can solve the complete puzzle in 0.38 seconds. Creating a system that teaches itself to complete the challenge is seen as the first step towards creating an AI that can move beyond games to solve the real-world problems. The Rubiks cube is designed to create symbolic, mathematical, and abstract thinking that is a challenge for all types of AI algorithms.