RIKEN researcher Ching-Kai Chiu and his collaborator have revealed the origin of a mysterious experimental observation in superconductors that contradicts an existing theory, according to a RIKEN article published Jan. 30.
Researchers at the University of Virginia's (UVA) Cancer Center have identified a cytokine capable of treating a lethal form of bone marrow cancer, according to an article published by the UVA Health Newsroom.
Studying a powerful type of cyberattack, researchers identified a flaw in how it’s been analyzed before, then developed new techniques that stop it in its tracks.
Researchers have created prototypes that enable screen-reader users to quickly and easily navigate through multiple levels of information in an online chart.
Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds.
Graduate student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.
Natural language processing models capture rich knowledge of words’ meanings through statistics.
Linking techniques from machine learning with advanced numerical simulations, MIT researchers take an important step in state-of-the-art predictions for fusion plasmas.
Perovskite materials would be superior to silicon in PV cells, but manufacturing such cells at scale is a huge hurdle. Machine learning can help.
Thanks to scientists from the Institute of Vertebrate Biology of the Czech Academy of Sciences, what used to take days to weeks and computers with huge computing capacity will be faster and more reliable. They developed "diem", a method of genomes polarization, thanks to which experts around the world across disciplines can more easily analyze genomes. It will be appreciated, for example, by archaeologists when searching for Neanderthal genes in the genome of modern humans or biologists who can track advantageous chunks of genomes and further use them as biomarkers.
Researchers design a user-friendly interface that helps nonexperts make forecasts using data collected over time.
Researchers have developed a technique for making quantum computing more resilient to noise, which boosts performance.
The AI-Guided Ultrasound Intervention Device is a lifesaving technology that helps a range of users deliver complex medical interventions at the point of injury.
Among thousands of known exoplanets, MIT astronomers flag three that are actually stars.
Scientists propose a new mechanism by which oxygen may have first built up in the atmosphere
A female scientist from the Astronomical Institute of the CAS was part of the team that for the first time achieved a long-term observation of an extremely rare event: a stellar tidal rip. Astronomer Christina Thönea was involved through her observing programmes on telescopes located at the Calar Alto Observatory and in the Canary Islands. The Nature journal has now published a paper on the research, called “A very luminous jet from disruption of a star by a massive black hole”.
MIT research scientist explores how cool pavements can offer climate change solutions in more than just the summer.
Discoveries at a major new fossil site in Morocco suggest giant arthropods – relatives of modern-day creatures including shrimps, insects, and spiders – dominated oceans 470 million years ago. Early evidence from the site at Taichoute, once undersea but now a desert, records numerous large “free-swimming” arthropods. More research is needed to analyse these fragments, but based on previously described specimens, the giant arthropods could be up to two metres long. The new study was published in the journal Scientific Reports.
An international team of scientists, including from the Universities of Bristol and Oxford, and the Natural History Museum, have discovered that a well-preserved fossilised worm dating from 518-million-years-ago resembles the ancestor of three major groups of living animals.
Scientists from the University of Bristol and NHS Blood & Transplant (NHSBT) have discovered a rare new blood group system.