EE Times argues for event-based sensing in physical AI

An EE Times commentary argues that robots need sensing systems that capture meaningful changes rather than constantly sampling dense data streams. It describes neuromorphic cameras and other event-based sensors as a way to select information before sending it to processors. This is an engineering argument about architecture, not a newly measured performance breakthrough.

DTT summary based on EE Times's report. The full article is on the publisher's site.