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Народ умудрился запихнуть алгоритмы искусственного интеллекта в 2 килобайта памяти.
"We have deployed Bonsai and ProtoNN on the Arduino Uno (8 bit ATmega328P microcontroller operating at 16 MHz without floating point support, 2 KB RAM and 32 KB read-only flash memory) and found that they can accurately make predictions within a few milliseconds."
Статья: "Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things" (PDF)
Исходники лежат на Гитхабе: https://github.com/Microsoft/EdgeML
"We have deployed Bonsai and ProtoNN on the Arduino Uno (8 bit ATmega328P microcontroller operating at 16 MHz without floating point support, 2 KB RAM and 32 KB read-only flash memory) and found that they can accurately make predictions within a few milliseconds."
Статья: "Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things" (PDF)
Исходники лежат на Гитхабе: https://github.com/Microsoft/EdgeML
