Rochester Institute of Technology: Fixing the Forgetting Problem in Artificial Neural Networks
April 24, 2020
April 24, 2020
ROCHESTER, New York, April 24 -- Rochester Institute of Technology issued the following news release:
An RIT scientist has been tapped by the National Science Foundation to solve a fundamental problem that plagues artificial neural networks.
Christopher Kanan, an assistant professor in the Chester F. Carlson Center for Imaging Science, received $500,000 in funding to create multi-modal brain-inspired algorithms capable of learning immediately without excess forgetting.< . . .
An RIT scientist has been tapped by the National Science Foundation to solve a fundamental problem that plagues artificial neural networks.
Christopher Kanan, an assistant professor in the Chester F. Carlson Center for Imaging Science, received $500,000 in funding to create multi-modal brain-inspired algorithms capable of learning immediately without excess forgetting.< . . .