Evaluator-grounded autonomous prompt evolution. Genetic algorithms + runtime validation + meta-evolution to evolve prompts that generate better AI agent code. 150 generations, 862/1000 best score.
特斯拉自动驾驶架构思想向自驱动实验室 SDL 迁移—— AI for Science 基础设施视角 | Transferring Tesla's autonomous-driving architecture ideas to Self-Driving Labs — an AI for Science infrastructure perspective
Autonomous multi-agent framework for hyperspectral image classification research.
Local-first governed autonomous experimentation framework with a research-grounded innovation brain
LLM agent orchestration for scientific workflows. Python 3.12, LiteLLM, BoTorch, ASE, Streamlit UI, MCP server and client.
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