The NSF Directorates MPS, CISE, ENG, and the Social, Behavior, and Economics Division (SBE) will jointly sponsor research collaborations among mathematicians, statisticians, electric engineers, and computer scientists to tackle the most challenging theoretical questions in the general area of the Mathematical and Scientific Foundations of Deep Learning. Deep learning has met with impressive empirical success that has fueled fundamental scientific discoveries and transformed numerous application domains of artificial intelligence. Our incomplete theoretical understanding of the field, however, impedes accessibility to deep learning technology by a wider range of participants. Confronting our incomplete understanding of the mechanisms underlying the success of deep learning should serve to overcome its limitations and expand its applicability. The NSF program solicitation can be found at NSF-21-561. For timely responses to your questions, please direct your email messages to the Program Directors on the MoDL Working Group at modl@nsf.gov

To learn more about it, join a webinar on March 5, 2021, 1-2pm EST. The SCALE MoDL Management Team representing several NSF Divisions, including SBE/SES and SBE/BCS, will host the webinar. Any members of the community who are interested in this funding opportunity are invited to participate in the webinar. The webinar will have an open question and answer period for your questions submitted anonymously through the Zoom webinar Q&A feature. Participants may also submit questions in advance through the registration form or by sending an email to modl@nsf.gov.