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 ...

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 ...

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.

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.

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 ...

Over the past decade, intensive studies have shown that the brain's meningeal lymphatic system acts as the brain's "waste disposal network," maintaining homeostasis by clearing metabolic waste and ...