Experiments in Agentic AI for Science

This paper introduces two novel frameworks for developing autonomous, agentic AI in scientific workflows, leveraging a hybrid Local Body, Remote Brain architecture with LLM cloud backends. The systems, DeepTS/DeepCollector and DeepScribe, automate time-series dataset curation and scientific presentation analysis, demonstrating how agentic AI can overcome context and reasoning limitations.