A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline 事件

A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline arXiv:2606.07718v1 Announce Type: cross Abstract: Agentic AI tools offer a promising path to automating software development bottlenecks in scientific research pipelines, particularly for stages that take domain experts days to months to build, where scientists care about correctness and robustness, not implementation details. We present an empirical study of general-purpose coding agents on a fly optogenetics dat