Talos is a custom FPGA-based hardware accelerator built from the ground up to execute Convolutional Neural Networks with extreme efficiency. It isn't just a reimplementation of existing software logic in hardware; it is a rethinking of how deep learning inference should work at the circuit level.
When you read a traditional git log, you see what changed. With ghost, you see why — the actual human decision that triggered the change. A year from now, "refactor auth middleware to use dependency injection" tells you more than a diff ever will.
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