Integer-only AI complete XOR with 99.7% accuracy all from scratch
SMRTR summary
ABSL is a 100% integer-only neural network learning algorithm built from scratch in Rust, designed for low-power devices like 8-bit microcontrollers that lack floating-point hardware. By using adaptive bit-shifting instead of a fixed learning rate, it solved the XOR problem with 99.7% accuracy, with zero total failures across benchmark runs.
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