AI Safety & Cybersecurity
UT Wins $9M NSF Award for AI-Enabled Scientific Discovery
Michela Taufer leads a mission to build modern cyberinfrastructure and train scientists in AI research workflows.
Researchers in a modern laboratory looking at a large digital screen displaying complex data visualizations and neural network patterns, representing AI-driven scientific discovery.
Photo: Kronos News
The National Science Foundation awarded a $9 million grant to a University of Tennessee-led team for AI discovery [1]. Professor Michela Taufer leads the group in a mission to transition research toward modern, AI-driven workflows [1]. This initiative seeks to integrate advanced technology into national laboratories and various industries [1].
The project emphasizes building robust cyberinfrastructure to support large-scale data analysis [1]. Researchers aim to train a new generation of scientists in using artificial intelligence for faster breakthroughs [1]. This collaborative effort includes partnerships designed to accelerate discovery across multiple disciplines [1].
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The story relies on a single source domain (utk.edu), failing the recommendation for three independent domains.
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Kronos News Desk covers ai safety & cybersecurity and editorial analysis for Kronos News.