We propose a metric that can measure the influence of a node in a layer of a neural network to a node in subsequent layers. The metric, called influential scores, enables us to interpret the effect of ...

Abstract: Graph neural networks have proved to be a key tool for dealing with many problems and domains, such as chemistry, natural language processing, and social networks. While the structure of the ...

Education A New AI Study May Explain Why Deep Learning Works MIT researchers’ new theory illuminates machine learning’s black box. Posted Aug 02, 2020 ...

Researchers report on a novel paradigm to do optical information processing on a chip, using techniques inspired by the way our brain works. Neural networks have been employed in the past to solve ...

Researchers at both Stanford University and Google have fused state-of-the-art neural network techniques for vision and language in order to create hybrid systems that can analyze images and ...