Now, here we have a 'KBBNN vs kppp' mate in 4 chess problem generated autonomously by a computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame tablebases, neural networks or any kind of machine learning found in traditional artificial intelligence (AI). It also has nothing to do with deep learning. You can learn more about the DSNS here.
White to Play and Mate in 4
Chesthetica v10.63 : Selangor, Malaysia
2018.4.9 7:31:59 PM
Some of the earliest chess problems by humans are over 10 centuries old but original ones by computer are very recent. White is over a rook's worth in material but the precise win in this position still needs to be found. Try to solve this as quickly as you can. If you like it, please share with your friends. Solving chess puzzles like this can also help improve your game. If you're bored of standard chess, though, why not try this?
Solution (Skip to 0:35)
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