Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these devices practical—using an autonomous correction system ...
In recent decades, drag-free satellites have been used in high-precision missions, such as testing the general relativity, verifying the geodetic and frame-dragging effects, measuring Earth's gravity field, etc. In space ...
Window glass, at the microscopic level, shows a strange mix of properties. Like a liquid, its atoms are disordered, but like a solid, its atom are rigid, so a force applied to one atom causes all of them to move.
Researchers at Auburn University are seeking ways to identify unknown compounds using collision cross section (CCS) measurements paired with prediction methods including computational models and machine learning. Their study ...
Quantum computing is on the verge of catapulting the digital revolution to new heights.
Memories of solar impact from seven ESA spacecraft have been collected and analyzed in a first-of-its-kind study to better understand the radiation environment in space. Huge amounts of engineering data has been used to reveal ...
Southwest Research Institute developed an algorithm to remotely update and repair spacecraft software using less time and data than conventional techniques.
Single-cell RNA sequencing data are useful for studying cell phenotypes and function. However, deciphering the clonal relationships of cells is critical to understanding the patterns of cell migration during development and ...
QUT researchers have developed a new approach for designing molecular ON-OFF switches based on proteins which can be used in a multitude of biotechnological, biomedical and bioengineering applications.
Charged cosmic rays, high-energy clusters of particles moving through space, were first described in 1912 by physicist Victor Hess. Since their discovery, they have been the topic of numerous astrophysics studies aimed at ...
