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 ...

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 ...

Above is a visualization of the current Lightning Network topography made up of ~16,000 Lightning Nodes with ~140,000 payment channels opened between them. I don’t know if I’m simply being duped by ...

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 ...

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 ...