Opentrons Integrates Nvidia AI Technologies for Enhanced Laboratory Robotics Training Data
Opentrons is leveraging Nvidia's Isaac and Cosmos platforms to generate training data for physical AI-enabled laboratory robotics, aiming to improve laboratory workflows. The company has installed over 10,000 robotic systems and plans to scale training processes through 2026. Opentrons will develop training models based on real and synthetic data, with a goal to provide models to select customers by 2027. Additionally, Opentrons formed a partnership with HighRes to create AI agent-to-agent workflows.
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Opentrons is utilizing Nvidia's Isaac and Cosmos AI platforms to produce training data for physical AI in laboratory robotics. The initiative aims to enhance workflows for existing and future customers.
To date, Opentrons has deployed over 10,000 robotic systems and aims to scale training through 2026, focusing on video data and synthetic data from Nvidia's solutions. The goal is to develop models for autonomous lab operations, with plans to offer these models to select customers by 2027. Additionally, Opentrons announced a partnership with HighRes to develop AI agent-to-agent lab workflows.
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