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Categories: Mathematics: Modeling, Space: Cosmology
Published From disorder to order: Flocking birds and 'spinning' particles



Researchers have demonstrated that ferromagnetism, an ordered state of atoms, can be induced by increasing particle motility and that repulsive forces between atoms are sufficient to maintain it. The discovery not only extends the concept of active matter to quantum systems but also contributes to the development of novel technologies that rely on the magnetic properties of particles, such as magnetic memory and quantum computing.
Published AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes



Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. Now, an international research team developed deep learning models that link gene sequence data with mRNA copy number for several plant species and predicted the regulatory effect of gene sequence variation.
Published Artificial intelligence can develop treatments to prevent 'superbugs'



Cleveland Clinic researchers developed an artficial intelligence (AI) model that can determine the best combination and timeline to use when prescribing drugs to treat a bacterial infection, based solely on how quickly the bacteria grow given certain perturbations. PNAS recently published their findings.
Published Toward unification of turbulence framework -- weak-to-strong transition discovered in turbulence



Astrophysicists have made a significant step toward solving the last puzzle in magnetohydrodynamic turbulence theory by observing the weak to strong transition in the space plasma turbulence surrounding Earth with newly developed multi-spacecraft analysis methods.
Published AI tool creates 'synthetic' images of cells for enhanced microscopy analysis



Researchers have developed a method to use an image generation AI model to create realistic images of single cells, which are then used as 'synthetic data' to train an AI model to better carry out single-cell segmentation.
Published Giant galactic explosion exposes galaxy pollution in action



Astronomers have produced the first high-resolution map of a massive explosion in a nearby galaxy, providing important clues on how the space between galaxies is polluted with chemical elements.
Published New sensing checks for 3D printed products could overhaul manufacturing sector



A sensing technology that can assess the quality of components in fields such as aerospace could transform UK industry.
Published Predicting cardiac arrhythmia 30 minutes before it happens



Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to healthcare systems, making its early detection and treatment a major goal. Researchers have recently developed a deep-learning model capable of predicting the transition from a normal cardiac rhythm to atrial fibrillation. It gives early warnings on average 30 minutes before onset, with an accuracy of around 80%. These results pave the way for integration into wearable technologies, allowing early interventions and better patient outcomes.
Published AI weather forecasts captured Ciaran's destructive path



The study highlights the rapid progress and transformative potential of AI in weather prediction.
Published Teaching a computer to type like a human



A new typing model simulates the typing process instead of just predicting words.
Published When thoughts flow in one direction



Contrary to previous assumptions, nerve cells in the human neocortex are wired differently than in mice. The study found that human neurons communicate in one direction, while in mice, signals tend to flow in loops. This increases the efficiency and capacity of the human brain to process information. These discoveries could further the development of artificial neural networks.
Published No gamma rays seen coming from nearby supernova



A nearby supernova in 2023 offered astrophysicists an excellent opportunity to test ideas about how these types of explosions boost particles, called cosmic rays, to near light-speed. But surprisingly, NASA's Fermi Gamma-ray Space Telescope detected none of the high-energy gamma-ray light those particles should produce.
Published Physicists solve puzzle about ancient galaxy found by Webb telescope



Physicists solve a puzzle linked to JWST-ER1g, a massive ancient galaxy that formed when the universe was just a quarter of its current age.
Published Physicists solve puzzle about ancient galaxy found by Webb telescope



Physicists solve a puzzle linked to JWST-ER1g, a massive ancient galaxy that formed when the universe was just a quarter of its current age.
Published Brightest gamma-ray burst of all time came from the collapse of a massive star



In 2022, astronomers discovered the brightest gamma-ray burst (GRB) of all time. Now, astronomers confirm that a 'normal' supernova, the telltale sign of a stellar collapse, accompanied the GRB. The team also looked for signatures of heavy elements like gold and platinum in the supernova. They found no evidence of such elements, deepening the mystery of their origins.
Published A faster, better way to prevent an AI chatbot from giving toxic responses



A new technique can more effectively perform a safety check on an AI chatbot. Researchers enabled their model to prompt a chatbot to generate toxic responses, which are used to prevent the chatbot from giving hateful or harmful answers when deployed.
Published Novel robust-optimal controllers based on fuzzy descriptor system



The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been developed, they add additional complexity. To address these limitations, a team of researchers has developed novel optimal and robust-optimal controllers based on the T--S fuzzy descriptor model, holding great potential for enhanced autonomous systems.
Published Climate change threatens Antarctic meteorites



Antarctica harbors a large concentration of meteorites imbuing the icy continent with an unparalleled wealth of information on our solar system. However, these precious meteorites are rapidly disappearing from the ice sheet surface due to global warming, according to a new study.
Published Can language models read the genome? This one decoded mRNA to make better vaccines



Researchers developed a foundational language model to decode mRNA sequences and optimize those sequences for vaccine development. The tool shows broader promise as a means for studying molecular biology.
Published Neutron stars are key to understanding elusive dark matter



Scientists may be one step closer to unlocking one of the great mysteries of the universe after calculating that neutron stars might hold a key to helping us understand elusive dark matter.