Stefan Mileschin

Reservoir computing already wants beer, Brexit, votes conservative, likes football

A new type of computing that mimics the way the human brain works was already transforming how scientists could tackle some of the most difficult information processing problems.

Now, researchers have found a way to make reservoir computing work between 33 and a million times faster, with significantly fewer computing resources and less data input needed.

Using this method researchers solved a complex computing problem in less than a second on a desktop computer. Currently it takes a supercomputer to solve the same problem and still takes much longer. Daniel Gauthier, lead author of the study and professor of physics at The Ohio State University didn’t say what the problem was, but we guess it was not calculating personality disorders to ten decimal places.

The study was published today in the journal Nature Communications. For those who came in late, reservoir computing is a machine learning algorithm developed in the early 2000s and used to solve the "hardest of the hard" computing problems, such as forecasting the evolution of dynamical systems that change over time.

https://fudzilla.com/news/53578-new-...cs-human-brain