An AI-native experimental laboratory for autonomous biomolecular engineering

Understand

Autonomous scientific research, capable of independently conducting complex experiments and serving non-specialists, represents a long-held aspiration.

• Achieving it requires a fundamental paradigm shift driven by artificial intelligence (AI).
• While autonomous experimental systems are emerging, they remain confined to areas featuring singular objectives and well-defined, simple experimental workflows, such as chemical synthesis and catalysis.
• We present an AI-native autonomous laboratory, targeting highly complex scientific experiments for applications like autonomous biomolecular engineering.