Communications of the ACM
Advancing AI Research Infrastructure Through NSF Investments
This investment supports five collaborative projects led by the University of Central Florida; the University of Pennsylvania; the University of Minnesota, Twin Cities; UCLA, and Penn State.
Credit: National Science Foundation
The U.S. National Science Foundation has announced a $16.1-million investment to support shared research infrastructure that provides artificial intelligence researchers and students across the nation with access to transformative resources including high-quality data on human-machine interactions in the context of collaborative teams, automated driving and news recommendation. The projects will include platforms for carrying out AI research on social robotics and immersive virtual environments.
The awards are part of NSF's Computer and Information Science and Engineering Community Research Infrastructure — or CCRI — program, which seeks to create, enhance and democratize access to research infrastructures, focusing on scientific agendas across computer and information science and engineering.
"A critical element to the success of the AI research revolution is ensuring that researchers have access to the data and platforms required to continue to drive innovation and scalability in AI technologies and systems," said NSF Director Sethuraman Panchanathan. "This infrastructure must be accessible to a full breadth and diversity of talent interested in AI R&D, as that is the driving force behind modern discoveries."
This investment supports five collaborative projects led by the University of Central Florida; the University of Pennsylvania; the University of Minnesota, Twin Cities; UCLA; and Penn State. The institutions will collectively provide hands-on training and educational opportunities to researchers and students with the goal of creating a community that enables knowledge sharing and collaboration tools that enrich and expand the nation's AI cutting-edge workforce.
From National Science Foundation
View Full Article
No entries found