Machine Learning at THE EDGE. Nearly every company, investor, product launch, and presentation these days is about “ML at The Edge” as the next, great technology wave. And where there is a wave, there are riders, hoping to cash in. For me, sensors are clearly the edge, breaking the boundary between the physical and digital worlds. Driven by cost, size, power constraints, MEMS is the technology sensing the edge. And with so much data being collected, doing the analysis at the edge with ML decreases latency and saves power on data transmission. But where is the money? I’ll talk about the forces at play, large and small, and offer some experiences from MEMS at the edge. And also share my hope that beyond the hype, there is good to be done. That new understanding from all the data and algorithms will help us to leave the planet better than we found it.