You&#x27;d need a sensible way of programming it. Perhaps when &#x27;deep learning&#x27; stabilizes a bit there will be commodity neural network chips (there are a few at the moment e.g. <a href="http:&#x2F;&#x2F;www.cognimem.com&#x2F;products&#x2F;chips-and-modules&#x2F;CM1K-Chip&#x2F;" rel="nofollow">http:&#x2F;&#x2F;www.cognimem.com&#x2F;products&#x2F;chips-and-modules&#x2F;CM1K-Chip...</a>).<p>It&#x27;s already possible to tweak the process parameters to produce slow-but-efficient chips. I recently saw <a href="http:&#x2F;&#x2F;www.ti.com&#x2F;lsds&#x2F;ti&#x2F;microcontrollers_16-bit_32-bit&#x2F;msp&#x2F;ultra-low_power&#x2F;msp430l09x_low_voltage&#x2F;overview.page" rel="nofollow">http:&#x2F;&#x2F;www.ti.com&#x2F;lsds&#x2F;ti&#x2F;microcontrollers_16-bit_32-bit&#x2F;msp...</a> : 45 microamps&#x2F;MHz up to 4MHz, runs down to 0.9V. Pair with a suitably low self-discharge battery and it&#x27;ll run for a decade.