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Categories: Geoscience: Earthquakes, Mathematics: Modeling
Published New AI tool accurately detects COVID-19 from chest X-rays



Researchers have developed a groundbreaking artificial intelligence (AI) system that can rapidly detect COVID-19 from chest X-rays with more than 98 percent accuracy.
Published A new mathematical language for biological networks



Researchers are presenting a novel concept for the mathematical modeling of genetic interactions in biological systems. The team has successfully identified master regulators within the context of an entire genetic network. The research results provide a coherent theoretical framework for analyzing biological networks.
Published Seismic and infrasonic signals used to characterize Nord Stream pipeline events



A new study provides further evidence that the Nord Stream seismic signals came from a complex source. The signals lasted longer than would be expected from a single explosive source, the researchers say, and were more like the signals detected from an underwater volcano or a pipeline venting gas.
Published Using AI, researchers identify a new class of antibiotic candidates



Using artificial intelligence, researchers discovered a class of compounds that can kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium that causes more than 10,000 deaths in the U.S. each year.
Published Large language models validate misinformation



In a recent study, researchers systematically tested an early version of ChatGPT's understanding of statements in six categories: facts, conspiracies, controversies, misconceptions, stereotypes, and fiction.
Published Clinicians could be fooled by biased AI, despite explanations



A new study finds that clinicians were fooled by biased AI models, even with provided explanations for how the model generated its diagnosis.
Published AI's memory-forming mechanism found to be strikingly similar to that of the brain



An interdisciplinary team consisting of researchers has revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain. This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones, in AI systems.
Published Artificial intelligence can predict events in people's lives



Artificial intelligence can analyze registry data on people's residence, education, income, health and working conditions and, with high accuracy, predict life events.
Published Computational model captures the elusive transition states of chemical reactions



Researchers developed a way to quickly calculate the transition state structure of a chemical reaction, using machine-learning models.
Published Morocco earthquake had unusual deep slip, according to new modeling



In their rapid characterization of the magnitude 6.8 Al Haouz earthquake in Morocco, researchers suggest that the earthquake ruptured roughly 25 kilometers deep beneath the surface.
Published Was the earthquake induced or natural? New study tests frameworks to answer the question



Using questionnaires created to determine whether a particular earthquake is natural or induced by human activity, a panel of experts concluded that the November 2022 magnitude 5.2 Peace River earthquake sequence in Alberta, Canada was likely to be induced.
Published Deep neural networks show promise as models of human hearing



In the largest study yet of deep neural networks trained to perform auditory tasks, researchers found most of these models generate internal representations that share properties of representations seen in the human brain when people are listening to the same sounds.
Published Artificial intelligence systems excel at imitation, but not innovation



Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers have found.
Published New geophysical technique enhances imaging of fluid-filled rocks finding connections with microearthquakes



Scientists have recently introduced a new method called ambient noise differential adjoint tomography, which allows researchers to visualise rocks with fluids better, leading to potential advancements in the discovery of water and oil resources, as well as applications in urban geologic hazard and early warning systems for tsunamis and the understanding of the water cycle.
Published ChatGPT often won't defend its answers -- even when it is right



ChatGPT may do an impressive job at correctly answering complex questions, but a new study suggests it may be absurdly easy to convince the AI chatbot that it's in the wrong.
Published North Korea and beyond: AI-powered satellite analysis reveals the unseen economic landscape of underdeveloped nations?



A joint research team in computer science, economics, and geography has developed an artificial intelligence (AI) technology to measure grid-level economic development within six-square-kilometer regions. This AI technology is applicable in regions with limited statistical data (e.g., North Korea), supporting international efforts to propose policies for economic growth and poverty reduction in underdeveloped countries. The research team plans to make this technology freely available for use to contribute to the United Nations' Sustainable Development Goals (SDGs).
Published Recycling concrete using carbon can reduce emissions and waste



Amid the rubble of large-sale earthquake, war or other disaster -- and as ageing buildings and infrastructure are replaced -- mountains of concrete are often taken to landfill or pounded into rubble for roads. For a more sustainable approach, experts are developing a 'value add' for old broken concrete to 'upcycling' coarse aggregate to produce a strong, durable and workable concrete using a small amount of a secret ingredient -- graphene.
Published Mathematics supporting fresh theoretical approach in oncology



Mathematics, histopathology and genomics converge to confirm that the most aggressive clear cell renal cell carcinomas display low levels of intratumour heterogeneity, i.e. they contain fewer distinct cell types. The study supports the hypothesis that it would be advisable to apply therapeutic strategies to maintain high levels of cellular heterogeneity within the tumour in order to slow down the evolution of the cancer and improve human survival.
Published Scientists use A.I.-generated images to map visual functions in the brain



Researchers have demonstrated the use of AI-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain. The goal is to apply a data-driven approach to understand how vision is organized while potentially removing biases that may arise when looking at responses to a more limited set of researcher-selected images.
Published New computer code for mechanics of tissues and cells in three dimensions



Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called 'active matter'. The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand shape, flows, and form of living materials. The active matter theory consists of many challenging mathematical equations. Scientists have now developed an algorithm, implemented in an open-source supercomputer code, that can for the first time solve the equations of active matter theory in realistic scenarios. These solutions bring us a big step closer to solving the century-old riddle of how cells and tissues attain their shape and to designing artificial biological machines.