How you interact with a crowd may help you stick out from it, at least to artificial intelligence. When fed information about a target individual’s mobile phone interactions, as well as their contacts ...

Real data can be hard to get, so researchers are turning to synthetic data to train their artificial intelligence systems. On a sunny day in late 1987, a Chevy van drove down a curvy wooded path on ...

Suppose you have a thousand-page book, but each page has only a single line of text. You’re supposed to extract the information contained in the book using a scanner, only this particular scanner ...

Traditional experimental methods for evaluating gas adsorption performance of metal–organic frameworks (MOFs) are costly and time-consuming, while ...

Tesla is often said to have a massive lead in self-driving data thanks to having equipped all its cars with sensors early on and collecting real-world data from a fleet that now includes over a ...

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A mechanical neural network composed of beams, motors and sensors can learn to carry out several different tasks, just like its software equivalent, and could lead to aircraft wings that morph during ...

A recent study published in Engineering proposes a multi-scale crystal graph and its multi-head attention network to predict the gas adsorption ...