A semi-autonomous multi-agent AI workflow, aided by humans, won first place in a cosmological parameter inference challenge using efficient neural networks and calibration techniques.
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Competing with AI Scientists: Agent-Driven Approach to Astrophysics Research
A semi-autonomous multi-agent AI workflow, aided by humans, won first place in a cosmological parameter inference challenge using efficient neural networks and calibration techniques.