Anthropic and Janelia release MHS to connect lab devices
Anthropic and the Howard Hughes Medical Institute’s Janelia Research Campus have developed a software framework called the Model Hardware Standard (MHS). This platform allows disparate laboratory instruments to communicate directly with each other and enables AI agents to control them. The system addresses a common research bottleneck where devices from different vendors use incompatible…
Key points
- Anthropic and Janelia Research Campus created the Model Hardware Standard (MHS) framework.
- MHS connects lab instruments to AI agents, removing the need for bespoke translation code.
- Carnegie Mellon researchers reported setting up an experiment in hours instead of months.
The framework acts as connective tissue between a lab computer’s operating system and the instruments. By eliminating the need for custom translation code or extra linking hardware, MHS allows any connected device to talk to any other. A team at Carnegie Mellon University, including computational biologist Sina Barazandeh, tested the system. They reported that an experiment setup that usually takes months was completed in mere hours, highlighting the significant time savings for researchers.
While existing standards like the SiLA consortium’s Standardization in Lab Automation provide a common language for lab data, MHS distinguishes itself by directly connecting instruments to AI agents. This direct link allows for autonomous orchestration of experiments, such as robotic arms moving samples between analyzers without human intervention.
How does AI "understand" a factory? Anthropic's "MHS" and the manufacturing data infrastructure being challenged by 100 Japanese companies. The "two entrances" to physical AI
note.com · 25 September 2026
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2sources- AI system helps lab devices ‘talk’ with each other — streamlining researchPrimary source · Nature Machine Learning ·
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