AutoKD: Autonomous Knowledge Discovery
Scientific discovery in data-rich domains is currently constrained by human bandwidth: the growth in the volume and complexity of real-world data far outpaces the rate at which researchers can read, reason, and synthesize. Recent LLM-based multi-agent systems have begun to automate portions of the research cycle, but they target hypothesis generation in settings where validation cannot itself be…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
