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Chess Engines for Android

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@Zippo wrote:
@Superbatil wrote:
Sir Archimedes can I suggest of Eman chess engine on android? Thanks in advanced. Advanced Merry Christmas.


Basicly Eman was a private engine, they might be shared the engines, but never the Source !!
While to compile an engine into Android, a compiler must be need a Source of the engine


But it is a clone of stockfish and its free to get the src. Im wait if its available..by the way..thanks.

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Don't talk to me buddy 😃
U can talk to the author of Eman diirectly about it

I was just simply gave u an information about why there's no Eman engine in Android platform

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Archimedes, for long time, iam a big fan of your work.

I just created an account to simply thank you.
Thank you for your work!

Greetings from Ron
Amsterdam Netherlands

(sorry for bad english)

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Ethereal 13.43:
https://pixeldrain.com/u/AaQ221vN

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Crystal 211210:
https://pixeldrain.com/u/Anf2jQCn

Crystal 211210 with embedded network:
https://pixeldrain.com/u/sVnGGxLA

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Good news for Arasan. The problem with crashes (when choosing another chesse engine) in DroidFish has gone. smile

Arasan 23.2-dev-211207:
https://pixeldrain.com/u/MZpTiJ7F

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Hello Archimedes, thanks for doing a lot for the development of engines for androyd) I wanted to ask, can you embed a neural network in Sugar Ai 2.50? Otherwise, I can't see a neural network without being built into the engine) like you do it with Stokfish

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@Dimasik09091995 wrote:
Hello Archimedes, thanks for doing a lot for the development of engines for androyd) I wanted to ask, can you embed a neural network in Sugar Ai 2.50?  Otherwise, I can't see a neural network without being built into the engine) like you do it with Stokfish

SugaR AI do not support an embedded network. Need changes to the source code.

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@rondubrun wrote:
Archimedes, for long time, iam a big fan of your work.

I just created an account to simply thank you.
Thank you for your work!

Greetings from Ron
Amsterdam Netherlands

(sorry for bad english)

You're welcome. Although i do not need that (saying thanks to me), i appreciate it. bigsmile

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Although i'm not a mentalist, i see good statistic values coming for Arasan in the FCP Tourney.  thumb up

https://www.amateurschach.de/klaus/fcp-tourney-2022-spec-statistics.htm
https://www.amateurschach.de/t2022/r16_short-games.txt

Take a look at the tab "Engine overview" in the first link and at the short game statistics in the second link.

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Stockfish 211211:
https://pixeldrain.com/u/frNbQHq5

Stockfish 211211 with embedded network:
https://pixeldrain.com/u/GLc7FLRj

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CorChess 211211:
https://pixeldrain.com/u/F3zDEVzU

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- commands are better
- perft added
- Not much better. But faster and more robust

https://github.com/SamuraiDangyo/mayhem/releases/tag/v6.4

Mayhem 6.4:
https://pixeldrain.com/u/SGPFKFaw

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@Archimedes wrote:
- commands are better
- perft added
- Not much better. But faster and more robust

https://github.com/SamuraiDangyo/mayhem/releases/tag/v6.4

Mayhem 6.4:
https://pixeldrain.com/u/SGPFKFaw


Thanks Archimedes :)

I'm learning to compile a chess engine for android that comes from your knowledge :)

I admire you :)

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Archimedes, can you embed the latest neural network into stockfish on android? ) I will be grateful)

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Stockfish 211214:
https://pixeldrain.com/u/MuxcCyai

Stockfish 211214 with embedded network:
https://pixeldrain.com/u/doyyUpu5

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Thanks Archimedes)

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CorChess 211213:
https://pixeldrain.com/u/E2tcbS9g

CorChess 211213 with embedded network:
https://pixeldrain.com/u/t5JvcVCU

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Chess Engines for Android 2021.12.15:
https://pixeldrain.com/u/CUVC8CEY

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Hello Archimedes, can you embed a new neural network in Stockfish? I will be very grateful)

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Stockfish 211218:
https://pixeldrain.com/u/UXUQZgaz

Stockfish 211218 with embedded network:
https://pixeldrain.com/u/GGwpyq1R

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Crystal 211218:
https://pixeldrain.com/u/VdYqEczH

Crystal 211218 with embedded network:
https://pixeldrain.com/u/n1MMySVQ

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CorChess 211217:
https://pixeldrain.com/u/pnfqoky2

CorChess 211217 with embedded network:
https://pixeldrain.com/u/Bbn3ARoW

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The release of this version includes evaluation terms for passed pawns and knight outposts, a new form of dynamic time management, and a better tuned evaluation, particularly with regards to king safety. All of these additions amount to about 50 Elo in gauntlet testing over 7.3.0, and self-play tests show Blunder 7.4.0 is roughly 50 Elo stronger than 7.3.0 (tc=inf/10+0.1).

https://github.com/algerbrex/blunder/releases/tag/v7.4.0

Blunder 7.4.0:
https://pixeldrain.com/u/hsnnW7B1

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- Use scaling cpuct formula
- Switch to neural net for eval
- Value mate at 1.1
- Remove need for nightly

https://github.com/princesslana/princhess/releases/tag/0.6.0

Princhess 0.6.0:
https://pixeldrain.com/u/XSGUvQ95

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