A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Astronomers have identified a new class of stellar remnant, one that forms not from the death of a single star but from the ...

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

There's a quiet tension running through modern science. On one side, research institutions and public health agencies lean on ...

The Development of the American Economy (DAE) program was one of the first research programs launched by Martin Feldstein in 1978 when he formalized the modern structure of the NBER. The mission of ...

Introduction Ethnic disparities in reproductive, maternal, neonatal and child health (RMNCH) persist in Latin America, rooted ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...

Objective Children and young people (CYP) with special educational needs (SENs) have an increased risk of psychopathology and ...

Predicting Workplace Conflicts through Intersectional Analysis of Social Identities of Employees: A Multilevel Statistical Modelling Approach Workplace conflict remains a persistent challenge to ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...