Neural network synchronization in time-delayed systems addresses the dynamic alignment of states between two or more coupled neural architectures in the presence of intrinsic or induced time delays.

Stability analysis of time-delayed neural network systems examines the conditions under which networks with inherent communication or processing delays maintain desired dynamic behaviour over time.

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

And without that proof, no safety-critical system can be certified with a neural network in its control loop. A new theorem ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...