Showing 20 articles starting at article 321
< Previous 20 articles Next 20 articles >
Categories: Mathematics: Modeling, Space: Cosmology
Published Webb reveals colors of Earendel, most distant star ever detected


NASA's James Webb Space Telescope has followed up on observations by the Hubble Space Telescope of the farthest star ever detected in the very distant universe, within the first billion years after the big bang. Webb's NIRCam (Near-Infrared Camera) instrument reveals the star to be a massive B-type star more than twice as hot as our Sun, and about a million times more luminous.
Published New model reduces bias and enhances trust in AI decision-making and knowledge organization


Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.
Published Self-supervised AI learns physics to reconstruct microscopic images from holograms


Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught their AI model to reconstruct microscopic images using only random artificial holograms -- synthesized solely from 'imagination' without relying on any real-world experiments, actual sample resemblances or real data.
Published How good is that AI-penned radiology report?


New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring systems that outperform current automated systems that evaluate the accuracy of AI narrative reports. Reliable scoring systems that accurately gauge the performance of AI models are critical for ensuring that AI continues to improve and that clinicians can trust them.
Published Deep learning for new protein design


Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates verified in the lab for binding a designed protein with its target protein. The results will help scientists design better drugs against diseases like cancer and COVID-19.
Published New method simplifies the construction process for complex materials


A new technique incorporates many different building blocks of cellular metamaterials into one unified graph-based representation. This can be used to make a user-friendly interface that can quickly and easily model metamaterials, edit the structures, and simulate their properties.
Published Gravitational arcs in 'El Gordo' galaxy cluster


A new image of the galaxy cluster known as 'El Gordo' is revealing distant and dusty objects never seen before, and providing a bounty of fresh science. The infrared image displays a variety of unusual, distorted background galaxies that were only hinted at in previous Hubble Space Telescope images.
Published Scientists uncover a surprising connection between number theory and evolutionary genetics


An interdisciplinary team of mathematicians, engineers, physicists, and medical scientists has uncovered an unexpected link between pure mathematics and genetics, that reveals key insights into the structure of neutral mutations and the evolution of organisms.
Published New clues on the source of the universe's magnetic fields


Researchers offer insight into the source of cosmic magnetic fields. The research team used models to show that magnetic fields may spontaneously arise in turbulent plasma. Their simulations showed that, in addition to generating new magnetic fields, the turbulence of those plasmas can also amplify magnetic fields once they've been generated, which helps explain how magnetic fields that originate on small scales can sometimes eventually reach to stretch across vast distances.
Published Researchers successfully train a machine learning model in outer space for the first time



Scientists have trained a machine learning model in outer space, on board a satellite. This achievement could revolutionize the capabilities of remote-sensing satellites by enabling real-time monitoring and decision making for a range of applications.
Published A simpler method for learning to control a robot


A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.
Published AI predicts the work rate of enzymes


Enzymes play a key role in cellular metabolic processes. To enable the quantitative assessment of these processes, researchers need to know the so-called 'turnover number' (for short: kcat) of the enzymes. A team of bioinformaticians now describes a tool for predicting this parameter for various enzymes using AI methods.
Published Galaxy J1135 reveals its water map


Researchers look at water in galaxies, its distribution and in particular its changes of state from ice to vapor, as important markers indicating areas of increased energy, in which black holes and stars are formed. A new study has now revealed the distribution of water within the J1135 galaxy, which is 12 billion light years away and formed when the Universe was a 'teenager', 1.8 billion years after the Big Bang . This water map, with unprecedented resolution, is the first ever to be obtained for such a remote galaxy. The map can help scientists to understand the physical processes taking place within J1135 and shed light on the dynamics, still partially unclear, surrounding the formation of stars, black holes and galaxies themselves.
Published The puzzle of the galaxy with no dark matter


New research has found the first evidence of a massive galaxy with no dark matter. The result is a challenge to the current standard model of cosmology.
Published Giant swirling waves at edge of Jupiter's magnetosphere


A team has found that NASA's Juno spacecraft orbiting Jupiter frequently encounters giant swirling waves at the boundary between the solar wind and Jupiter's magnetosphere. The waves are an important process for transferring energy and mass from the solar wind, a stream of charged particles emitted by the Sun, to planetary space environments.
Published James Webb Telescope catches glimpse of possible first-ever 'dark stars'


Three bright objects initially identified as galaxies in observations from the James Webb Space Telescope might actually represent an exotic new form of star. If confirmed, the discovery would also shed light on the nature of dark matter.
Published The economic life of cells


A team has combined economic theory with biology to understand how natural systems respond to change. The researchers noticed a similarity between consumers' shopping behavior and the behavior of metabolic systems, which convert food into energy in our bodies. The team focused on predicting how different metabolic systems might respond to environmental change by using an economic tool called the Slutsky equation. Their calculations indicated that very different metabolic systems actually share previously unknown universal properties, and can be understood using tools from other academic fields. Metabolic processes are used in drug development, bioengineering, food production and other industries, so being able to predict how such systems will respond to change can offer many benefits.
Published Webb celebrates first year of science with close-up on birth of sun-like stars



From our cosmic backyard in the solar system to distant galaxies near the dawn of time, NASA's James Webb Space Telescope has delivered on its promise of revealing the universe like never before in its first year of science operations. To celebrate the completion of a successful first year, NASA has released Webb's image of a small star-forming region in the Rho Ophiuchi cloud complex.
Published Supercomputer used to simulate winds that cause clear air turbulence


Using Japan's most powerful supercomputer, researchers reproduced cases of clear air turbulence around Tokyo. They simulated the fine vortices responsible for this dangerous phenomenon. The usefulness of the simulation in predicting turbulence was confirmed by comparing simulation data with data from aircraft recordings. This research should improve the forecasting of turbulence.
Published Researcher turns one of the basic rules of construction upside down



Structural engineers are familiar with seventeenth-century scientist Robert Hooke's theory that a hanging chain will mirror the shape of an upstanding rigid arch. However, new research now shows that this common-held belief is incorrect because, regardless of the similarities, the hanging chain and the arch are two incompatible mechanical systems.