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AlphaDev was able to shave an instruction off of sort-3, sort-5, and sort-8, and even more off of sort-6 and sort-7. There was only one (sort-4) where it didn't find a way to improve the human code.
Google DeepMind’s game-playing AI just found another way to make code faster - MIT Technology Review
The existing C++ algorithm for sorting a list of five items took around 6.91 nanoseconds on a typical Intel Skylake chip. AlphaDev’s took 2.01 nanoseconds, around 70% faster. Related Story ...
Overall, AlphaDev’s new C++ sorting algorithms are 1.7 percent more efficient than the prior methods when sorting long sequences of numbers, and up to 70 percent faster for five-item sequences.
An artificial intelligence (AI) system based on Google DeepMind’s AlphaZero AI created algorithms that, when translated into the standard programming language C++, can sort data up to three ...
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