Phys.org  September 21, 2021 Reservoir computing is a machine learning algorithm developed in the early 2000s and used to solve the “hardest of the hard” computing problems. It requires very small training data sets, uses linear optimization, and thus requires minimal computing resources. It does that using an artificial neural network which is a black box. A team of researchers in the US (Ohio State University, industry, Clackson University) investigated the “black box” and found that the whole reservoir computing system could be greatly simplified, dramatically reducing the need for computing resources and saving significant time. They tested their concept […]