A new theoretical framework argues that many universal statistical laws of genomes, texts, cities, and software may arise from simple...

Researchers at Visva-Bharati University have introduced the AI-modulated Pólya urn, a stochastic framework that unifies reinforcement learning, risk-sensitive control and...

A new Pareto-based particle swarm optimization framework jointly inverts magnetotelluric and Rayleigh wave data to map fractured, hydrothermally altered crustal...

Restricted and costly access to Twitter/X data, combined with GDPR constraints, is pushing crisis management researchers toward multi-source monitoring frameworks...

A 60-year analysis of daily data from nearly 1,900 Chinese weather stations reveals that drought duration and frequency obey a...

A new study shows that allowing power spectral density estimates to go negative is essential for unbiased spectral analysis of...

A new benchmark study compares three causal inference methods for detecting climate tipping point interactions and finds that a weaker...

The AlphaProof Nexus AI framework autonomously solved dozens of previously open mathematics problems by generating formal proofs verified step by...

A new likelihood ratio test that compares climate models with observations without assuming equal noise variances finds that most CMIP6...

A new modeling study shows that partisan polarization emerges from the combined and interchangeable effects of nationalized political signals and...