Governments, too, should allow open-source AI to thrive, imposing safety regulations uniformly and eschewing restrictions and ...

Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all.

Older models struggled with depth issues in 2D images, but the novel neural network handles these problems with ease.

Relief-type cultural heritage objects are commonly found in many historical sites worldwide, but often suffer from varying ...

Imagine being a passenger in a self-driving car as the vehicle starts veering off the road. It's not a faulty sensor causing ...

This model uses advanced neural network architectures, including convolutional neural networks (CNN) and long-short-term ...

The latest FSR 3.1 release this year brought significantly improved stability over previous versions. However, there's still ...

Accurately modeling particle movement through fluids is crucial in fields ranging from chemical engineering to aerospace. The ...

The inner crust of a neutron star is characterized by the presence of a neutron superfluid. To accurately predict the ...

In earthquake-prone areas like Japan, there is a need for better prediction of soil stability to mitigate liquefaction risks. Towards this end, researchers have used machine learning models, including ...