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New version Chess Engine: Altair 6.0.0

on

Altair is a uci chess engine that succeeds my old python engine Antares.
Rating CEDR=3228 author: Alexander Tian

v.6.0.0:
Version 6.0.0 marks a major release of Altair introducing NNUE (Efficiently Updatable Neural Networks).
Neural Networks have now replaced the use of a classical evaluation in Altair, resulting in large strength improvements.

As of version 5.0.1, Altair's evaluation weights were completely set to zero, allowing for the generation of completely original data from zero knowledge.
Altair's current net Trappist is the product of repeated data generation, training and testing.
It has a network architecture of (768->768)x2->1 and is trained on a combination of standard and DFRC FENs.

Other improvements in Altair include slight changes in its search and time management, further details are visible in the change-log.
Altair now also supports analysis with MultiPV along with evaluation normalization and WDL output.

Test Results:
Standard LTC:

ELO   | 374.11 +- 28.25 (95%)
CONF  | 40.0+0.40s Threads=1 Hash=128MB
GAMES | N: 1000 W: 815 L: 23 D: 162
https://chess.swehosting.se/test/4904/
Fischer Random LTC:

ELO   | 415.05 +- 35.84 (95%)
CONF  | 40.0+0.40s Threads=1 Hash=128MB
GAMES | N: 1000 W: 873 L: 41 D: 86
https://chess.swehosting.se/test/4908/
Once again, all my thanks to everyone in the OpenBench Testing Instance for their tremendous support and contribution of hardware towards Altair's testing.

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).

Rating CEDR progres - Altair:
Pl Engine Rating Score Games %
959 Altair 5.0.0 3228.9 343.00 840 40.83
1029 Altair 4.0.0 3129.3 181.50 345 52.61
1043 Altair 3.0.0 3107.9 118.50 202 58.66
1207 Altair 2.0.0 2904.2 108.00 280 38.57
1463 Altair 1.0.0 2519.1 42.50 105 40.48




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