The sheen of satin, the subtle glints of twill, the translucence of sheer silk: Fabric has long been difficult to render ...

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research ...

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

This repository contains spectral neighbor analysis potential (SNAP) models for various elements, including the force field models, the corresponding parameters and training data used to develop the ...

The world’s most powerful supercomputers can now run simulations of billions of neurons, and researchers hope such models ...

Benchmarks reveal how artificial-intelligence systems reinforce discriminatory social hierarchies.

But last year we got the best sense yet of how LLMs function, as researchers at top AI companies began developing new ways to ...

By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...