The NSF Convergence Accelerator program. Issue 1 (31st March 2022)

• Record Type: Journal Article
• Authors: Baru, Chaitanya; Campbell, Lara; Dade, Aurali; Fulay, Pradeep; Loewi, Alex; Maughan, Douglas; Mohedas, Ibrahim; Molnar, Linda; Pozmantier, Michael; Reksulak, Michael; Smith, Shelby; Tehrani, Nicole
• Is Part Of: AI magazine. Volume 43:Issue 1 (2022)
• Page Start: 6
• Page End: 16
• Publication Date: 2022-03-31
• Subjects: Artificial intelligence -- Periodicals; Artificial intelligence -- Computer programs -- Periodicals; System design -- Periodicals; Artificial intelligence -- Technological innovations -- Periodicals; Artificial intelligence -- Industrial applications -- Periodicals; Artificial intelligence -- Educational applications -- Periodicals; Intelligence artificielle -- Périodiques; Intelligence artificielle -- Logiciels -- Périodiques; Conception de systèmes -- Périodiques; Intelligence artificielle -- Innovations -- Périodiques; Intelligence artificielle -- Applications industrielles -- Périodiques; Intelligence artificielle -- Applications en éducation -- Périodiques; Artificial intelligence; Artificial intelligence -- Computer programs; Artificial intelligence -- Educational applications; Artificial intelligence -- Industrial applications; System design; Kunstmatige intelligentie; Electronic journals; Periodicals; Periodicals; 006.305
• DOI: 10.1002/aaai.12032
• Languages: English
• ISSNs: 0738-4602

Abstract

Abstract: The National Science Foundation's Convergence Accelerator is a unique program offering researchers and innovators the opportunity to translate research results into tangible solutions that make a difference for society. Through an intense innovation curriculum and a mentorship program, researchers gain skills and experiences that are of use not only during this program but throughout their careers. This article describes the NSF Convergence Accelerator program and its initial funded convergence research topics—or "tracks"—funded in 2019 and 2020. In almost every track and NSF‐funded project, artificial intelligence and machine learning (AI/ML) approaches and methods are playing an essential role.