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

If AI systems can do their own AI research, they can come up with superior AI architectures and methods. Via a simple ...

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

A deep neural network was trained using quantum tunneling to mimic the human ability to view optical illusions.

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now ...

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 ...

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 the dangerous situation—it's a cyberattack. Hackers can access the deep ...

As renewable energy sources such as wind and solar become more widespread, managing the power grid has become increasingly ...

Researchers in China have reportedly used Meta Platforms Inc.’s Llama 13B artificial intelligence model to develop a chatbot ...

Now, researchers have developed a novel neural network model that can reconstruct these reliefs as three-dimensional digital images from old photographs containing their pre-damage information.