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

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

Relief-type cultural heritage objects are commonly found in many historical sites worldwide, but often suffer from varying levels of damage and deterioration. Traditional methods for image ...

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 ...

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

By constructing and training neural network models, predictive models for three clinical outcomes were developed, and the researchers successfully predicted the objective response rate (ORR ...

Researchers at NVIDIA have developed HOVER (humanoid versatile controller), a 1.5 million parameter neural network designed ...

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

Learn about Jimmy Ba's role at xAI and his insights on AI ethics and deep neural networks, featured in Business Insider's ...

Custom hardware tailored to specific models can unlock performance gains and energy savings that generic hardware cannot ...