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How was Stockfish trained?

How is Stockfish NNUE Trained? Instead of training the engine completely from scratch, NNUE is trained on positions that Stockfish 11 has already analyzed. The position itself, along with SF11's evaluation of the position and search depth is fed into NNUE's model and serves as a supervised ground truth for the model.
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Has any human ever beaten Stockfish?

It is near impossible for any human to defeat Stockfish in a game of chess, and no human chess player has yet been able to beat Stockfish. It remains to be seen if the reigning undisputed world chess champion Magnus Carlsen one day gets a go at Stockfish and manages to cause an upset by upstaging it at its own game.
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Does Stockfish use a neural network?

a Stockfish branch by Hisayori Noda aka Nodchip, which uses Efficiently Updatable Neural Networks - stylized as ƎUИИ or reversed as NNUE - to replace its standard evaluation.
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What type of neural network does Stockfish use?

The real cleverness of Stockfish's neural network is that it's an efficiently-updatable neural network (NNUE).
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What techniques does Stockfish use?

Stockfish is actually performing the checks after generating the candidates, and uses a Bitboard safe_destination(Square s, int step) (bitboard. cpp) method to ensure that the moves are not off the board. Finally, there are some more additional verifications, as of blocking pieces or discovered checks.
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How do Chess Engines work? Looking at Stockfish and AlphaZero | Oliver Zeigermann

How does Stockfish search so deep?

Stockfish takes a wide tree of possibilities and gives them a very basic evaluation. It then prunes (cuts off) those moves that get a bad score, and continues to look deeper into the remaining moves. The process continues until Stockfish manages to reduce down to a few best options.
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Is Stockfish AI or an algorithm?

Stockfish uses a combination of advanced AI algorithms to examine and evaluate positions, including: Alpha-Beta Pruning: a search algorithm that reduces the number of nodes in the search tree by pruning branches that are unlikely to contain the best move.
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What programming language does Stockfish use?

Platforms. Since Stockfish is written in C++, it may be compiled and build for various processors and operating systems such as Android, iOS, Linux, macOS, and Windows. Stockfish for macOS was built by Daylen Yang, who is also responsible for the Stockfish website.
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Does Stockfish use CPU or GPU?

Well, Lc0 is actually a distributed computing project, and works better on GPU, as said earlier, as opposed to Stockfish which only runs on CPU.
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Do grandmasters play against Stockfish?

Stockfish is the most potent chess engine available in the public domain today, and it is enormously hard to play well against it. So, only the grandmasters of the highest level can go up against Stockfish and have a chance at a win.
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How does Stockfish work so fast?

The Main one is its aggressive Alpha Beta pruning and late move reductions. To explain a bit further. AB Pruning is a search algorithm which basically cuts out the number of nodes in its search tree. How it works is it stops evaluating when it determines and proves the move to be worse than another examined moves.
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Is Stockfish intelligent?

As of today, I conclude that Stockfish exhibits the superhuman intelligence of a Searle's Chinese Room (with internal humans that do have some limited understanding of the problem that it is solving); but Leela (and Alpha Zero) do not.
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Is Stockfish based on machine learning?

But basically any software that can play chess is AI. Stockfish prior to last one is not machine learning or neural net brand of AI. Stockfish NNUE is combination of Neural net evaluation and traditional alpha-beta tree search.
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What is the algorithm for Stockfish?

Stockfish uses a calculation method known as minimax. In the minimax algorithm, Stockfish considers a set of potential strategies (current moves which can be played) and the best strategies that can be utilized by the opponent as a response to each strategy.
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Is chess AI unbeatable?

As artificial intelligence improves, it continues to outperform human ability, even at the highest level of chess, beating even those players unbeatable by humans.
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Can Stockfish make mistakes?

> People may think this is a "not so important" mistake, but if you think about it - It's immensely disadvantageous! Stockfish isn't perfect, it makes mistakes.
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Can Stockfish run on a phone?

Run Anywhere

You can use Stockfish on your computer or on your iOS or Android device.
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How advanced is Stockfish?

Stockfish has consistently ranked first or near the top of most chess-engine rating lists and, as of February 2023, is the strongest CPU chess engine in the world. Its estimated Elo rating is over 3500. It has won the Top Chess Engine Championship 13 times and the Chess.com Computer Chess Championship 19 times.
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How many cores can Stockfish use?

How many cores does Stockfish use? Partial answer: TCEC Stockfish plays with 43 cores and threads, while the so-called Redfish kitbitzing engine (which is basically Stockfish on stronger hardware) plays with 192 cores and 256 threads.
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Does Stockfish use brute force?

Stockfish is a rule-based chess engine with a “brute force” strategy that is based on numerical calculations and deep searches of the positions.
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What is the most aggressive chess engine?

Stockfish is possibly the most well-known chess engine and the highest rated at a staggering 3925 Elo.
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When was the last time a human beat a computer at chess?

Chess programs running on commercially available desktop computers won decisive victories against human players in matches in 2005 and 2006. The second of these, against then world champion Vladimir Kramnik is (as of 2023) the last major human-computer match.
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Is Stockfish 14 a neural network?

Stockfish 14 evaluates positions more accurately than Stockfish 13 as a result of two major steps forward in defining and training the efficiently updatable neural network (NNUE) that provides the evaluation for positions.
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Does Stockfish play perfectly?

Even the best engines today, such as stockfish and AlphaZero, still aren't perfect. They're damn close, but they don't have the 100 percent draw or 100 percent white win ratio one would assume of a perfect game. Is it possible to create a chess engine capable of playing a totally perfect game every time?
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How was AlphaZero trained?

AlphaZero was trained solely via self-play using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks, all in parallel, with no access to opening books or endgame tables.
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