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 ...

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 ...

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

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 ...

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

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions. Researchers from the University of Waterloo developed the ...

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 ...