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Synopsis

The NSF State and Regional AI Infrastructure Hubs program aims to expand access to the compute required for AI-enabled scientific discovery and to transform the research, education, and training opportunities offered by institutions of higher education. AI Infrastructure Hubs will connect researchers to new compute infrastructure that leverages contributions from state governments, research institutions, industry, and philanthropy, accelerating AI-enabled discovery across science and engineering and developing a skilled technical workforce for AI use in the scientific enterprise. 

The program responds to a core tenet of Science: A New Golden Age to renew America’s research and development (R&D) for changes in today’s scientific enterprise, including the role of AI in laying the foundation for a new era of scientific discovery and the growing role of industry and philanthropy in funding R&D. In response, the Administration’s FY28 R&D Priorities Memorandum called for investing in AI for science as a

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RSS feed source: National Science Foundation

Synopsis

This program will advance scientific community datasets to enable scientific discovery and innovation using artificial intelligence (AI) and other methods. Its goal is to increase the value that can be derived from existing scientific datasets by leveraging novel methods and artificial intelligence (AI).  This will unlock new AI-driven insights. It can enable interdisciplinary research. It also enables investigations outside of the original motivation for data collection and analysis.

The program seeks to 1) apply AI-based capabilities to feature extraction and metadata generation, and the integration of multiple datasets.  2) Develop robust data pipelines necessary for automated analysis of existing datasets and similar use-cases by AI tools and systems. 3) Augment and/or harmonize existing datasets to better enable use by AI data pipelines and automated analysis. 

Proposals should address dataset security and integrity.  Governance and the process for scientific communities to contribute to the datasets should

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Synopsis

The U.S. NSF Directorate for Technology, Innovation and Partnerships (NSF TIP) partners across sectors to advance three primary focus areas – accelerating technology translation and development, fostering regional innovation and economic growth, and preparing the American workforce for future high-wage jobs in STEM fields.

The translation of research to practice ensures that the insights and innovations developed through scientific study and experimentation have tangible, positive impacts for the Nation. These impacts include improving the quality of life, promoting economic and job growth, ensuring national security, and maintaining global competitiveness. Indeed, scientific and engineering breakthroughs have the potential to address critical societal challenges in industries such as aerospace, agriculture, communications, education, energy, healthcare, national security, and transportation – but the translation of discoveries and innovations from the laboratory to society often takes many forms including non-linear pathways.  

The NSF TTP program was developed with

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