machine learning
Working here at Pi Towers, I’m always a little frustrated by not being able to share the huge number of commercial businesses’ embedded projects that use Raspberry Pis. (About a third of the Pis we sell go to businesses.) We don’t get to feature many of them on the blog; many organisations don’t want their work replicated by … Continue reading →
What you’re about to watch in the video below is a magnificently physical example of machine learning. Adam Vaughan is controlling an engine with an adaptive Extreme Learning Machine algorithm on his Pi, which predicts homogeneous charge compression ignition (HCCI – if you’re  a petrolhead, you won’t have to look that up on Wikipedia like I did … Continue reading →