A reproducible framework for closed-loop experimental optimization using self-driving laboratory principles and Bayesian optimization.
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Updated
Jul 28, 2026 - Python
A reproducible framework for closed-loop experimental optimization using self-driving laboratory principles and Bayesian optimization.
A 3-minute IvoryOS demo where a coffee robot uses Bayesian optimization to satisfy a customer who only gives a score.
Event-sourced campaign ledger for AI-driven scientific discovery. It detects proxy-gaming, diversity collapse, and discovery flatlines.
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