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New Computing System Takes Its Cues From Human Brain

Neural Oscillatory Network Collective Computing system can efficently solve computationally complex problems like connected node color graphing that choke modern computers.

Neural Oscillatory Network Collective Computing system can efficently solve computationally complex problems like connected node color graphing that choke modern computers.

October 9, 2017 | Source: Georgia Institute of Technology, rh.gatech.edu, 8 June 2017, Josh Brown

Some problems are so challenging to solve that even the most advanced computers need weeks, not seconds, to process them.

Now a team of researchers at Georgia Institute of Technology and University of Notre Dame has created a new computing system that aims to tackle one of computing’s hardest problems in a fraction of the time.

Their new system employs a network of electronic oscillators to solve graph coloring tasks – a type of problem that tends to choke modern computers.

Details of the study were published April 19 in the journal Scientific Reports.  The research was conducted with support from the National Science Foundation, the Office of Naval Research, the Semiconductor Research Corporation and the Center for Low Energy Systems Technology.