{"version":1,"type":"story","url":"https://digestai.news/story/anthropic-and-janelia-release-mhs-to-connect-lab-devices","json":"https://digestai.news/story/anthropic-and-janelia-release-mhs-to-connect-lab-devices.json","markdown":"https://digestai.news/story/anthropic-and-janelia-release-mhs-to-connect-lab-devices.md","slug":"anthropic-and-janelia-release-mhs-to-connect-lab-devices","headline":"Anthropic and Janelia release MHS to connect lab devices","summary":"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 programming languages, typically requiring months of bespoke coding to integrate.\n\nThe 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.\n\nWhile 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.","keyPoints":["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."],"whyItMatters":"MHS standardizes lab automation by enabling AI agents to directly control diverse hardware. This reduces setup time from months to hours, accelerating scientific discovery and lowering the barrier for autonomous laboratory workflows.","category":{"slug":"research","name":"Research","url":"https://digestai.news/category/research"},"entities":{"companies":["Anthropic","Howard Hughes Medical Institute","Carnegie Mellon University","SiLA consortium"],"models":[],"people":["Sina Barazandeh","Jose Lugo-Martinez","Alek Kemeny"]},"firstPublishedAt":"2026-09-24T00:00:00Z","updatedAt":"2026-09-24T00:00:00Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"Nature Machine Learning","title":"AI system helps lab devices ‘talk’ with each other — streamlining research","url":"https://nature.com/articles/d41586-026-02990-8","publishedAt":"2026-09-24T00:00:00Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Anthropic and Janelia release MHS to connect lab devices\", 24 September 2026, https://digestai.news/story/anthropic-and-janelia-release-mhs-to-connect-lab-devices","publisher":"Digest AI","title":"Anthropic and Janelia release MHS to connect lab devices","datePublished":"2026-09-24T00:00:00Z","url":"https://digestai.news/story/anthropic-and-janelia-release-mhs-to-connect-lab-devices"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}