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

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

Trained on 9.7 trillion tokens of evolutionary data, EDEN designs therapeutics from large gene insertion to antimicrobial peptides.

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...

Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

Speeding up model training involves more than kernel tuning. Data loading frequently slows down training, because datasets are too large to fit on disk, consist of millions of small files, or stream ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

The sports betting industry is constantly facing new challenges, so STATSCORE takes a deep dive into one of the most ...

Vision-Language-Action (VLA) models have shown remarkable potential in visuomotor control and instruction comprehension through end-to-end learning processes. However, current VLA models face ...

Abstract: Diffusion models are a powerful class of techniques in ML for generating realistic data, but they are highly prone to overfitting, especially with limited training data. While data ...

The new storage system could hold family photos, cultural artifacts and the master versions of digital artworks, movies, ...