Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

ML-powered retail media solutions optimize product visibility, enhance shopping experiences and create wins for sellers, ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

MICB and NOTCH4 were expressed in fibroblasts and endothelial cells, two cell types that play central roles in fibrosis and vasculopathy.

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

For people who are blind or have low vision, the audio descriptions of action in movies and TV shows are essential to ...