Neural network detects asymptomatic Covid-19 infections through cellphone-recorded cough

they found it was able to pick up patterns in the four biomarkers — vocal cord strength, sentiment, lung and respiratory performance, and muscular degradation — that are specific to Covid-19. The model identified 98.5 percent of coughs from people confirmed with Covid-19, and of those, it accurately detected all of the asymptomatic coughs.

“We think this shows that the way you produce sound, changes when you have Covid, even if you’re asymptomatic,” Subirana says.
— Read on news.mit.edu/2020/covid-19-cough-cellphone-detection-1029

A neural network defines health as…

One of Mike Lynch’s bot creation is the Glossatory, which generates definitions of words based a recurrent neural network. Mike illustrates some of the more outlandish ones at @glossatory@weirder.earth

a neural net defines AUTHORITY, created by Glossatory/Mike Lynch 2019. Shows a drone-like machine looking over a rough sketch of a village.
a neural net defines AUTHORITY, created by Glossatory/Mike Lynch 2019. Source

The Glossatory is based on a recurrent neural network, which is the type of artificial neural network that’s typically used for machine translation. Mike used a training set of 82,115 definitions that were taken from WordNet. The results are often amusing, frequently incomprehensible, but mostly they’re just odd.

Continue reading “A neural network defines health as…”