Northeastern University Computer Science professor Gene Cooperman and graduate student Dan Kunkle used Teragrid and university resources to sort through 7 terabytes of data, covering 43 quintillion possible combinations.
The result? A program that can solve any Rubik’s cube in around a second, and in 26 moves or less.
And why?
“The Rubik’s cube is a testing ground for problems of search and enumeration,” Cooperman explains. “Search and enumeration is a large research area encompassing many researchers working in different disciplines—from artificial intelligence to operations.”
“The Rubik’s cube allows researchers from different disciplines to compare their methods on a single, well-known problem.”
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