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Categories: Mathematics: Modeling, Space: Cosmology
Published AI draws most accurate map of star birthplaces in the Galaxy


Scientists identified about 140,000 molecular clouds in the Milky Way Galaxy from large-scale data of carbon monoxide molecules, observed in detail by the Nobeyama 45-m radio telescope. Using artificial intelligence, the researchers estimated the distance of each of these molecular clouds to determine their size and mass, successfully mapping the distribution of the molecular clouds in the Galaxy in the most detailed manner to date.
Published Artificial Intelligence from a psychologist's point of view


Researchers test cognitive abilities of the language model GPT-3.
Published Galactic explosion offers astrophysicists new insight into the cosmos


Using data from the James Webb Space Telescope's first year of interstellar observation, an international team of researchers was able to serendipitously view an exploding supernova in a faraway spiral galaxy.
Published How to predict city traffic


A new machine learning model can predict traffic activity in different zones of cities. To do so, a researcher used data from a main car-sharing company in Italy as a proxy for overall city traffic. Understanding how different urban zones interact can help avoid traffic jams, for example, and enable targeted responses of policy makers -- such as local expansion of public transportation.
Published Astronomers discover metal-rich galaxies in early universe


While analyzing data from the first images of a well-known early galaxy taken by NASA's James Webb Space Telescope (JWST), astronomers discovered a companion galaxy previously hidden behind the light of the foreground galaxy -- one that surprisingly seems to have already hosted multiple generations of stars despite its young age, estimated at 1.4 billion years old.
Published Reaching like an octopus: A biology-inspired model opens the door to soft robot control


Octopus arms coordinate nearly infinite degrees of freedom to perform complex movements such as reaching, grasping, fetching, crawling, and swimming. How these animals achieve such a wide range of activities remains a source of mystery, amazement, and inspiration. Part of the challenge comes from the intricate organization and biomechanics of the internal muscles.
Published New discovery sheds light on very early supermassive black holes


Astronomers have discovered a rapidly growing black hole in one of the most extreme galaxies known in the very early Universe. The discovery of the galaxy and the black hole at its center provides new clues on the formation of the very first supermassive black holes.
Published Unusual atom helps in search for Universe's building blocks


An unusual form of caesium atom is helping a research team unmask unknown particles that make up the Universe.
Published Discovery of massive early galaxies defies prior understanding of the universe


Six massive galaxies discovered in the early universe are upending what scientists previously understood about the origins of galaxies in the universe.
Published MoBIE enables modern microscopy with massive data sets


High-resolution microscopy techniques, for example electron microscopy or super-resolution microscopy, produce huge amounts of data. The visualization, analysis and dissemination of such large imaging data sets poses significant challenges. Now, these tasks can be carried out using MoBIE, which stands for Multimodal Big Image Data Exploration, a new user-friendly, freely available tool. This means that researchers such as biologists, who rely on high-resolution microscopy techniques, can incorporate multiple data sets to study the processes of life at the very smallest scales.
Published Theory can sort order from chaos in complex quantum systems


Theoretical chemists have developed a theory that can predict the threshold at which quantum dynamics switches from 'orderly' to 'random,' as shown through research using large-scale computations on photosynthesis models.
Published Digital markers near-perfect for predicting dementia in older drivers


Using ensemble learning techniques and longitudinal data from a large naturalistic driving study, researchers have developed a novel, interpretable and highly accurate algorithm for predicting mild cognitive impairment and dementia in older drivers. Digital markers refer to variables generated from data captured through recording devices in the real-world setting. These data could be processed to measure driving behavior, performance and tempo-spatial pattern in exceptional detail.
Published Research team creates statistical model to predict COVID-19 resistance


Researchers have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to SARS-CoV-2, the virus that causes it.
Published James Webb spots super old, massive galaxies that shouldn't exist


A team of international researchers have identified six candidate galaxies that existed roughly 500 to 700 million years after the Big Bang and are about as big as the modern Milky Way Galaxy -- a feat that scientists didn't think was possible.
Published Beyond memorization: Text generators may plagiarize beyond 'copy and paste'


Language models that generate text in response to user prompts plagiarize content in more ways than one, according to a research team that conducted a study to directly examine the phenomenon.
Published AI analyzes cell movement under the microscope


Using artificial intelligence (AI), researchers can now follow cell movement across time and space. The method could be very helpful for developing more effective cancer medications.
Published Computational modeling sheds light on human cognition and the origins of brain disorders


Researchers used computational modeling to uncover mutations in the human genome that likely influenced the evolution of human cognition. This groundbreaking research in human genomics could lead to a better understanding of human health and the discovery of novel treatments for complex brain disorders. The study is to be published in Science Advances.
Published Scientific AI's 'black box' is no match for 200-year-old method


A new study finds that a 200-year-old technique called Fourier analysis can reveal crucial information about how the form of artificial intelligence called deep neural networks (DNN) learn to perform tasks involving complex physics. Researchers discovered the technique can directly connect what a DNN has learned to the physics of the complex system the DNN is modeling.
Published AI supports doctors' hard decisions on cardiac arrest


When patients receive care after cardiac arrest, doctors can now -- by entering patient data in a web-based app -- find out how thousands of similar patients have fared. Researchers have developed three such systems of decision support for cardiac arrest that may, in the future, make a major difference to doctors' work.
Published Computer model IDs roles of individual genes in early embryonic development


Computer software can predict what happens to complex gene networks when individual genes are missing or dialed up more than usual. Mapping the roles of single genes in these networks is key to understanding healthy development and finding ways to regrow damaged cells and tissues. Understanding genetic errors could provide insight into birth defects, miscarriage or even cancer.