RSS feed source: National Science Foundation

Synopsis

NSF invests in scientific discoveries, technological breakthroughs, and transformative innovations that strengthen economic growth, enhance security, and improve the lives of Americans and people around the world.

In support of this mission, NSF is relaunching its SBIR/STTR programs (also known as America’s Seed Fund powered by NSF) following enactment of the Small Business Innovation and Economic Security Act to invest in startups and small businesses transforming high-risk technologies into products and services with commercial impacts. By investing federal R&D funds in start-ups and small businesses, NSF strengthens the national economy by stimulating private sector innovation, commercializing federally-funded research outputs, and supporting the American scientific enterprise. This investment enhances job creation while developing and expanding the U.S. workforce.

The NSF SBIR/STTR programs fund across nearly all technology areas and market sectors; the programs do not solicit specific technologies or procure goods and services from startups and

Click this link to continue reading the article on the source website.

RSS feed source: National Science Foundation

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

Click this link to continue reading the article on the source website.

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

Click this link to continue reading the article on the source website.

RSS feed source: National Science Foundation

.context-funding-opportunities-grfp-nsf-graduate-research-fellowship-program .program-due-dates__due-by-time-text {display:none} .context-funding-opportunities-grfp-nsf-graduate-research-fellowship-program .program-due-dates__due-by-time-text {display:none}

Click this link to continue reading the article on the source website.