Wolfram’s Mathematica can run on a $5 Raspberry Pi zero. While it may be painfully slow, it does open up opportunities to use Mathematica in low-power, remote-sensing applications. This blog post is a first in a series highlighting the design challenges I’ve encountered (and in some cases overcome) building Mathematica on Pi (MoP) devices. (Hey, I think I just created a new acronym.)
Just a short message to announce that I am working on a voice recognition system for the Raspberry Pi that has less overhead than some of the currently available options. More can be found in the Readme file of the github repository and I’ll be updating this system over the next few days.
I’m no longer going to use the phrase like getting water from a stone, because it is probably easier than getting sound from a Raspberry Pi! Here’s some notes on how I’ve coaxed a few notes out of my Pi.