A smaller, lighter and more energy-efficient computer, demonstrated at the University of Michigan, could help save weight and ...

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...

Networks of neurons can perform computations that have proved very difficult to emulate in conventional computers ... can we characterize the dynamics of neural networks with recurrent connections?

Neuron-inspired processing is used by living computers to create more rapid, smarter, and more environmentally friendly ...

It was the shot heard 'round the world - a neural network that finally fulfilled decades of theoretical promise.

"In conventional neural networks, the output signals change gradually," says Memmesheimer, who is also a member of the Life and Health Transdisciplinary Research Area. "For example, the output ...

Distributed acoustic sensing (DAS) systems represent cutting-edge technology in infrastructure monitoring, capable of ...

Researchers at Nanjing University, led by Ningmu Zou, have been working on a new approach to overcome the major obstacles ...

In particular, a key challenge remains to build such representations in conventional neural networks. In a recent paper in the Proceedings of the National Academy of Sciences, researchers from ...