Searching for flood victims is a type of wilderness search and rescue that presents unique challenges. The goal for machine learning scientists is to rank which images have signs ...

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 ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

Scientists have combined machine learning with quantum physics to discover two new superconductors and create a much faster way to search for many more. The technique could bring researchers ...

Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.

An international research consortium announced on June 29 that it has experimentally confirmed two previously unknown superconductors — the first materials ever identified from scratch by a ...

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 ...