Take a look at this 'KRBBNPP vs krrbppp' study-like chess puzzle or problem (whichever you wish to call it) composed by a computer 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. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not and never will be seen by human eyes. This problem with 14 pieces goes even beyond that and was therefore composed without any such help whatsoever.
White to Play and Win
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 2 Jun 2019 at 12:40:36 PM
Most changes to Chesthetica that result in a slightly higher 'version number' are simply to improve the interface, by the way. Material is even. Try to solve this as quickly as you can. If you like it, please share with others. Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia.
A Similar Chess Problem by Chesthetica: 00692
Main Line of the Solution (Skip to 0:35)
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