Image courtesy by QUE.com For decades, the search for room-temperature superconductors has been one of physics' most ...

Instead of trying to catch AI use, we redesigned interviews to measure something far more valuable: the judgment to know when ...

An international research team involving the University of Bayreuth has, for the first time, analyzed the "inner workings" of ...

New research suggests that the bias in AI hiring systems has reversed direction completely in the last three years: among 14 ...

From AI majors to traditional STEM degrees, here's what you should study if you want to work in artificial intelligence and ...

Researchers have used machine-learning screening to identify and then experimentally confirm two new superconductors, YRu3B2 ...

Understanding the influence of quasiperiodicity on magnetic fluctuations could ultimately enable the design of materials with ...

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

The maps and chart shows vote counts and margins for Democratic and Republican candidates for Colorado governor.

An international team of quantum researchers has shown how machine learning can be used to filter a practically infinite number of possible material combinations to identify candidates for ...