Computer-Generated Chess Problem 02863

Consider this 'KRRBN vs knppp' mate in 3 chess puzzle created by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, deep learning or any kind of traditional AI. You can learn more about the DSNS here. This position contains a total of 10 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.

5B2/5p2/4p3/4k2p/3R4/1N5R/6K1/2n5 w - - 0 1
White to Play and Mate in 3
Chesthetica v11.62 (Selangor, Malaysia)
Generated on 9 Mar 2020 at 11:04:30 PMSolvability Estimate = Difficult
The chess problems are published chronologically based on the composition date and time. However, later compositions may have an earlier version of Chesthetica listed because more than one computer (not all running the same version of the program) is used. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Leave a comment below, if you like. Solving chess puzzles like this can be good for your health as it keeps your brain active. It may even delay or prevent dementia. Anyway, if standard chess isn't your thing, you might instead like SSCC.
Solution