The tiny white orb-shaped robot scuttled across the carpet, it’s flashing headlamp illuminating the floor before it. “It can recognize faces,” said the hardware engineer in charge of implementing the compact internals of the Xpider. “We are working on a software layer to make it easy to drag-and-drop commands using the onboard neural network engine.”
As I have toured the world attending hardware conferences and Maker Faires, the theme of providing small edge devices with more intelligence has grown stronger with each passing month. More and more inventive developers and teams seem to be working on solving the next big problem facing the Maker Movement: How to make AI-enabled hardware and perceptual computing gadgets usable to a wider audience of developers.