Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

PanMAN data structures compress pangenomes massively, encode evolutionary histories, and enable scalable analysis of millions of genomes.

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

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

To meet emerging regulatory expectations, AI governance in financial services must incorporate two complementary structural ...

Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...

For a quarter century, cosmology has rested on a simple but audacious idea: that a fixed “cosmological constant” drives the ...

Natural physical networks are continuous, three-dimensional objects, like the small mathematical model displayed here.

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...