Machines are moving from pre-programmed sequences to systems that perceive their environment, reason about it, and act on it in real time. That transition floods the edge with high-bandwidth, multi-modal data: cameras, LiDAR, radar, IMUs, encoders, tactile and torque sensors, and industrial fieldbuses. All of it must be time-aligned, feature-extracted and pre-processed before an AI accelerator can make a decision worth trusting.