"When the White House unveiled the Genesis Mission, the sweeping governmentwide initiative to accelerate artificial intelligence using the combined power of national labs and high-performance computing, it was easy to see why the announcement grabbed headlines. Genesis promises to connect federal research data, supercomputers and scientific expertise into one massive discovery engine. The mission's goal is nothing less than transforming how American science operates."
"Genesis may be new, but the idea that federal agencies should use AI to solve entrenched problems is not. Some agencies have been laying groundwork for years, and one of the most advanced is the Centers for Disease Control and Prevention. While the public often associates the CDC with disease surveillance and outbreak response, the agency has quietly been building a modern AI infrastructure designed to reshape how public health data is collected, analyzed and acted upon."
"The CDC published its vision for artificial intelligence back in 2023 as part of its Public Health Data Strategy. Even then, the agency recognized that AI could assist with everything from parsing laboratory data to automating public health reporting. Its focus was not on frontier AI models, but on practical systems that would help epidemiologists, state health departments and hospitals better understand what was happening on the ground."
The White House launched the Genesis Mission to accelerate artificial intelligence by linking national labs, federal research data, supercomputers and scientific expertise into a unified discovery engine. The mission aims to transform how American science operates. Federal agencies have pursued AI for years, and the Centers for Disease Control and Prevention represent one of the most advanced adopters. The CDC has been building modern AI infrastructure to reshape public health data collection, analysis and action. The CDC published a 2023 vision within its Public Health Data Strategy emphasizing practical AI systems for parsing laboratory data and automating public health reporting. The agency has cited 54 AI and machine learning deployments, including anomaly detection and automated data extraction.
Read at Nextgov.com
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