The seventh release of Altair.
Many changes have been made in Altair including search features, its evaluation, and move generation. Two new neural networks have been created through self-data-generation, Taffreta and Solaris, with the latter being the current and strongest net trained on over 2B FENs.
A few large FRC (Chess 960) bugs have been fixed, resulting in much larger Elo gain compared to standard chess.
Standard LTC:
Elo | 79.17 +- 12.12 (95%)
Conf | 40.0+0.40s Threads=1 Hash=128MB
Games | N: 1000 W: 278 L: 54 D: 668
Penta | [0, 32, 243, 194, 31]
http://antares2262.pythonanywhere.com/test/183/
FRC LTC:
Elo | 146.45 +- 15.41 (95%)
Conf | 40.0+0.40s Threads=1 Hash=128MB
Games | N: 1002 W: 455 L: 56 D: 491
Penta | [1, 17, 162, 224, 97]
http://antares2262.pythonanywhere.com/test/184/
As always, huge thanks to everyone of the OpenBench Testing Instance that Altair is on for their support and contribution of hardware towards Altair's testing.
Thank you again to @Ciekce for helping me to train neural networks with his hardware.
The binaries are included below, with x86-64 binaries being based on the microarchitecture levels
It is recommended that most people use the v3 binary, with v4 meant for CPUs that support AVX512, and v2 and v1 for older CPUs (more details in the link above).
