Turbulence in nature refers to the complex, time-dependent, and spatially varying fluctuations that develop in fluids such as ...

It is all about the GDP structure in the first quarter in most of the CEE countries. Most likely, consumption was the driving ...

Statisticians from the National University of Singapore (NUS) have developed a pioneering approach for analyzing ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Key TakeawaysResearchers at Berkeley Lab and Oak Ridge National Laboratory have developed an accelerated data pipeline called ...

The Russell 2000 index shows strong bullish momentum on the daily chart, suggesting the start of a new upward wave structure. Orange wave one is now forming as part of navy blue wave one, indicating ...

Researchers have developed a machine learning model called DreaMS, which significantly accelerates the analysis of previously unknown molecules. The study is published in Nature Biotechnology.

Docling uses state-of-the-art models for layout analysis and table structure recognition to transform unstructured documents ...

The signs of the collapse of traditional financial logic have begun to appear as early as the past two years. The repeated ...