Europe PMC
open access
Closing the Empirical Loop: Autonomous AI Agents Conduct End-to-end Research With Human Participants
Artificial intelligence systems are transforming scientific discovery by accelerating specific research tasks, from protein structure prediction to materials design, yet remain confined to narrow domains requiring substantial human oversight. Exponential growth of scientific literature and increasin
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Closing the Empirical Loop: Autonomous AI Agents Conduct End-to-end Research With Human Participants.#923674
- AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists#1118396
- Generating Interesting Scientific Ideas using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders#1077821
- Can AI Make Scientific Discoveries?#97110
- Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills#1011135
Record · ID 922268
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive