A new cross-modal framework, REALM, has been proposed for processing event camera data. It leverages low-rank adaptation to bridge the gap between event and RGB data, allowing for the use of frozen RGB backbones for event streams. This could have implications for AI agents that rely on event data, such as those used in robotics or computer vision applications.