2 papers
cs.AI2026
A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline
Kai A. Horstmann, Ethan Lin, Alice A. Robie +2
Agentic AI offers a promising path to automating software development bottlenecks in scientific research pipelines, particularly for stages that take domain experts days to months…
cs.LG2026
Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse
Ling-Qi Zhang, Kristin Branson
Neuroscience data are fragmented across labs, experimental paradigms, and storage formats, and data reuse often requires substantial manual effort. Standardized formats have been p…