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”.
Scientists propose a new mechanism by which oxygen may have first built up in the atmosphere
Among thousands of known exoplanets, MIT astronomers flag three that are actually stars.
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.
Researchers have developed a technique for making quantum computing more resilient to noise, which boosts performance.
Researchers design a user-friendly interface that helps nonexperts make forecasts using data collected over time.
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.
Perovskite materials would be superior to silicon in PV cells, but manufacturing such cells at scale is a huge hurdle. Machine learning can help.
Linking techniques from machine learning with advanced numerical simulations, MIT researchers take an important step in state-of-the-art predictions for fusion plasmas.
Natural language processing models capture rich knowledge of words’ meanings through statistics.
Graduate student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.
Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds.
Researchers have created prototypes that enable screen-reader users to quickly and easily navigate through multiple levels of information in an online chart.
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 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.
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.
Classical computers rarely make mistakes, thanks largely to the digital behavior of semiconductor transistors. They are either on or they’re off, corresponding to the ones and zeros of classical bits.
Gene therapies have the potential to treat neurological disorders like Alzheimer’s and Parkinson’s diseases, but they face a common barrier — the blood-brain barrier.
Approaching the 3-year anniversary of the onset of the COVID-19 pandemic, many can attest to the mental health challenges that came with the sudden changes to everyday life as the disease took hold.
A team of researchers at the University of Wisconsin–Madison has successfully combined genomics with machine learning in the quest to develop accessible tests that allow earlier detection of cancer.