Network diagrams can be intimidating, especially for those without a technical background. They're a visual representation of a network's architecture, complete with routers, switches, and other ...

In this paper, we present the first work of machine learning framework using complex network features to predict wire-length in physical design. The experimental result on TAU 2017 Benchmark shows the ...

Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple diagrams as a tool to reveal ... is described in the journal Transactions of Machine ...

In moving from “measurement” to “concept”, machine learning algorithms continuously deform vector spaces in order to discover parsimonious manifolds. In this way learning in a neural network ...