A modular Python foundation for reproducible computational and autonomous laboratories. Alpha; the reference profile is simulator-only.
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Updated
Aug 30, 2026 - Python
A modular Python foundation for reproducible computational and autonomous laboratories. Alpha; the reference profile is simulator-only.
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.
Cost-aware autonomous discovery campaigns: any oracle, any driver, one budget.
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
Event-sourced campaign ledger for AI-driven scientific discovery. It detects proxy-gaming, diversity collapse, and discovery flatlines.
Open architecture for thermodynamic computing, causal renormalization, photonics, and event-scaled future nanofabrication.
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