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.

When Block product designer Cynthia Chen first dreamed up the idea of an app that could catalogue dogs spotted in the wild, she shelved it. "The hurdle was so big, so I never did anything," she said.

More information: Yi Teng et al, Solving the fractional quantum Hall problem with self-attention neural network, Physical Review B (2025). DOI: 10.1103/PhysRevB.111.205117.

UCF's 'bridge doctor' combines imaging, neural network to efficiently evaluate concrete bridges' safety Date: May 16, 2025 Source: University of Central Florida Summary: New research details how ...

Oriole Networks Unveils PRISM, the World’s First Full-Photonic Network for AI Provided by Business Wire May 14, 2025, 7:14:00 AM ...

Simone Betteti, Giacomo Baggio, Francesco Bullo, Sandro Zampieri. Input-driven dynamics for robust memory retrieval in Hopfield networks. Science Advances, 2025; 11 (17) DOI: 10.1126/sciadv.adu6991 ...

That comparison was, no pun intended, a “no-brainer.” But what about making sure that we evolve our own neural networks, as we work with brand new ones that don’t have our human anatomy?

Neural Concept and OPmobility will unveil a range of AI-driven automotive innovations from their partnership at the OPmobility booth (West Hall) at CES 2025 in Las Vegas (7-10 Jan).

A common objective for neural networks is to find a mathematical function, or curve, that best connects certain data points. The closer the network can get to that function, the better its predictions ...

The interface converts neural signals into text with over 97% accuracy. Key to our system is a set of artificial intelligence language models – artificial neural networks that help interpret ...

Each thin blue arrow represents a neural weight, which is just a number, typically between about -2 and +2. Weights are sometimes called trainable parameters. The small red arrows are special weights ...

2.2.1 Reconstruction-based single image generation network Autoencoder (Hinton and Salakhutdinov, 2006) is a data-driven, unsupervised learning neural network model used for extracting data features.