For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Daniel Smilkov, a member of Google's Big Picture Research Group, and Shan Carter, who creates interactive graphics for The New York Times, created it.

Neural networks were vaguely inspired by the inner workings of the human brain. The nodes are sort of like neurons, and the network is sort of like the brain itself.

Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

Based on using peridynamics to describe the physical processes of regional land subsidence, deep learning methods, including neural networks and Gaussian Process Regression, are employed to ...

Neurons in the human brain form an astonishing number of connections; it's thought that there are anywhere from tens of billions to trillions of links. Scientists that are seeking to understand those ...

The neural network behind GPT-3 has around 160 billion parameters. “From talking to OpenAI, GPT-4 will be about 100 trillion parameters,” Feldman says. “That won’t be ready for several ...

Demonstration of neural receiver performance inside an Open RAN testbed Tools for complete design flow include ability to train the neural receiver using site-specific scenarios External channel ...

Scientists have created a neural network with the human-like ability to make generalizations about language 1. The artificial intelligence (AI) system performs about as well as humans at folding ...