著者

Rémi Coulom

雑誌

ゲームプログラミングワークショップ2023論文集

巻号頁・発行日

vol.2023, pp.66-69, 2023-11-10

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While training deep-learning neural networks often requires considerable amounts of computing power, inference is efficient, and can be run on small devices. Cell phones are a typical example, but they are still rather powerful. The research presented in this paper takes the challenge to the extreme by running a Go-playing convolutional neural network on the 6809 CPU, an 8-bit microprocessor launched by Motorola in 1978. The software was implemented on a Thomson MO5 microcomputer, and reached a playing strength on par with GNU Go.