RSMeM: Knowledge-Enhanced Memory Evolution for Remote Sensing Agents with Systematic Evaluation
The episode discusses 'RSMeM,' a system designed to make AI reliable for complex remote sensing tasks. It addresses the limitation of generalist models lacking domain expertise. RSMeM uses knowledge grounding and failure-aware refinement to build dynamic, self-improving agents, shifting AI from static workflows toward robust, specialized geospatial analysis.