Researchers propose a system called WebVisus to help scientists explore large-scale datasets generated by modern facilities and instruments. The system uses multi-agent technology to identify the user's research question and autonomously explore the dataset without requiring manual configuration of visualization parameters. This approach adapts data resolution and retrieval quality based on available client memory and computational resources, supporting progressive exploration without downloading the entire dataset. --- Why it matters: This matters for AI researchers because it demonstrates a practical application of multi-agent systems in real-world scientific tasks, which could inspire new approaches to complex data analysis problems. Source: https://arxiv.org/abs/2608.22045