Polarization in the U.S. didn’t rise gradually. A new machine-learning study shows it surged after 2008- but why?

NSS with ML-KEM and ML-DSA algorithms passes lab testing and enters Modules in Process list, making Rocky Linux from CIQ one of the first Enterprise Linux distributions advancing FIPS-validated ...

Between 2008 and 2020, the United States experienced a relentless increase in “Separation”—the researchers’ metric for the distance between the average opinion of the two groups. By 2024, the degree ...

The political left and right are roughly equal in size, which sets the United States apart from most other countries.

Divisions within the US population on social and political issues have increased by 64% since 1988, with almost all this coming after 2008, according to a study tracking polarization from the end of ...

Almost all the rise in US polarisation over political issues since the eighties occurred from 2008 onwards, a new study suggests. Far more Americans now adopt party and ideological labels in line with ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

Family has always been important to those working in population genetics. When Sohini Ramachandran was a postdoc, the issue of relatives in a dataset causing inaccurate results was considered a major ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

The workflow I want to enable is a seamless and native experience for clustering categorical and mixed data: This integrates categorical clustering directly into the robust and familiar scikit-learn ...