Demo: Spiderweb - Reliability of AI on the Edge, Effects of Hardware Disturbances on Machine Learning Software
Jens Vankeirsbilck, Jeroen Boydens · 2024
As Artificial Intelligence is being deployed more and more on edge devices, i.e. embedded systems, this begs the question: can these algorithms deal with the (transient) hardware errors known to happen on these devices? This demo answers this question by performing fault injection on an auto-encoder algorithm executing on a typical edge device. We demonstrate that these types of algorithms are still susceptible to the effects of transient hardware errors but that traditional software-implemented fault tolerance techniques remain effective in helping them mitigate their impact.