Danaher Corporation announced a collaboration with NVIDIA to advance autonomous science and help accelerate the pace of scientific discovery. As part of Danaher’s broader effort to shape the future of AI-enabled science, the companies are working to combine Danaher’s scientific instrumentation, automation technologies, laboratory workflow software and domain expertise with NVIDIA accelerated computing and AI technologies. The goal is to help researchers move faster from prediction to experimental evidence, creating a continuous learning cycle where experiments inform models and models help design better experiments.
“AI is reshaping how science is conducted, and Danaher is at the forefront of that transformation,” said Julie Sawyer Montgomery, President and Chief Executive Officer of Danaher. “We are collaborating around a shared vision for more connected, adaptive and accessible innovation, helping researchers solve consequential challenges and translate discovery into human impact.”
“The next era of scientific discovery will be driven by a continuous loop between AI and experimentation,” said Kimberly Powell, Vice President of Healthcare at NVIDIA. “Together with Danaher, we are bringing accelerated computing and physical AI into the lab – connecting models with instruments and real experimental data, where experiments improve models and models design better experiments, helping researchers compress years of discovery into months.”
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Danaher and NVIDIA are working to integrate AI into scientific instruments through edge computing like NVIDIA DGX Spark, accelerated analytics and data processing with RAPIDS, real-time inference, scientific reasoning and foundation model technologies, including BioNeMo Open Models. Initial efforts focus on a select group of priority instruments, with the potential to expand across a broader portfolio over time. The companies are exploring how scientific and physical AI, such as NVIDIA Cosmos world models and Omniverse Digital Twins, can support more intelligent instruments and laboratory workflows, while keeping experimental evidence at the center of scientific decision-making.
The collaboration seeks to advance Danaher’s commitment to connected science by bringing AI, accelerated computing, instruments, workflows and experimental data together to produce experimental evidence. Danaher aims to help researchers reduce the time and complexity of moving from an AI-generated prediction to the experimental evidence needed to act on it, while preserving customer choice in models, standards and technology providers.
SOURCE: PRNewswire