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Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
CMU Machine Learning2
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RocketSmith achieves a remarkable 80% accuracy in predicted rocket apogee, showcasing the power of agentic systems in aerospace design.
Automating materials science database construction is now feasible: a multi-agent system extracts structured data from scientific literature with high speed and accuracy.
