This version 12 of Stockfish plays significantly stronger than any of its predecessors. In a match against Stockfish 11, Stockfish 12 will typically win at least ten times more game pairs than it loses.
This jump in strength, visible in regular progression tests during development, results from the introduction of an efficiently updatable neural network (NNUE) for the evaluation in Stockfish, and associated tuning of the engine as a whole. The concept of the NNUE evaluation was first introduced in shogi, and ported to Stockfish afterward. Stockfish remains a CPU-only engine, since the NNUE networks can be very efficiently evaluated on CPUs. The recommended parameters of the NNUE network are embedded in distributed binaries, and Stockfish will use NNUE by default.
Both the NNUE and the classical evaluations are available, and can be used to assign values to positions that are later used in alpha-beta (PVS) search to find the best move. The classical evaluation computes this value as a function of various chess concepts, handcrafted by experts, tested and tuned using fishtest. The NNUE evaluation computes this value with a neural network based on basic inputs. The network is optimized and trained on the evaluations of millions of positions.
The Stockfish project builds on a thriving community of enthusiasts that contribute their expertise, time, and resources to build a free and open source chess engine that is robust, widely available, and very strong. We invite chess fans to join the fishtest testing framework and programmers to contribute on github. (https://blog.stockfishchess.org/post/628172810852925440/stockfish-12)
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