Authors: George Rajna
A simple, passive photonic structure made only of glass and air bubbles could perform artificial neural computing for applications in areas like facial recognition.  Most artificial intelligence (AI) systems try to replicate biological mechanisms and behaviors observed in nature.  "We basically combined advances in neural networks and machine-learning with quantum Monte Carlo tools," says Savona, referring to a large toolkit of computational methods that physicists use to study complex quantum systems.  As cosmologists and astrophysicists delve deeper into the darkest recesses of the universe, their need for increasingly powerful observational and computational tools has expanded exponentially.  Now, a team of scientists at MIT and elsewhere has developed a neural network, a form of artificial intelligence (AI), that can do much the same thing, at least to a limited extent: It can read scientific papersand render a plain-English summary in a sentence or two.  To address this gap in the existing literature, a team of researchers at SRI International has created a human-AI image guessing game inspired by the popular game 20 Questions (20Q), which can be used to evaluate the helpfulness of machine explanations. 
Comments: 54 Pages.
[v1] 2019-07-12 04:53:53
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