Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...

In recent years, predictive technologies for volcanic eruptions have advanced significantly, particularly with the ...

How rapidly gene expression in a single cell changes over time can provide insight into how cells might become more ...

ORNL researchers developed an AI that links atomic structure to material behaviors, improving efficiency in material science ...

A landmark has been reached in the field of physics and artificial intelligence with the successful resolution of a ...

A new study finds that a 200-year-old technique called Fourier analysis can reveal crucial information about how the form of artificial intelligence called deep neural networks (DNN) learn to perform ...

A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual ...

A hybrid approach to AI is powering Amazon’s Rufus shopping assistant and cutting-edge warehouse robots.

Neural Radiance Fields (NeRF) is a fascinating technique that creates three-dimensional (3D) representations of a scene from ...

Recently, Zhongzhexin Technology Consulting Co., Ltd. applied for a patent titled "An AI-based Method and System for Identifying Production Risk Hazards in Enterprises," indicating the deep ...