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Categories: Mathematics: Modeling, Paleontology: Dinosaurs
Published How does a 'reverse sprinkler' work? Researchers solve decades-old physics puzzle



For decades scientists have been trying to solve Feynman's Sprinkler Problem: How does a sprinkler running in reverse work? Through a series of experiments, a team of mathematicians has figured out how flowing fluids exert forces and move structures, thereby revealing the answer to this long-standing mystery.
Published New method flips the script on topological physics



The branch of mathematics known as topology has become a cornerstone of modern physics thanks to the remarkable -- and above all reliable -- properties it can impart to a material or system. Unfortunately, identifying topological systems, or even designing new ones, is generally a tedious process that requires exactly matching the physical system to a mathematical model. Researchers have demonstrated a model-free method for identifying topology, enabling the discovery of new topological materials using a purely experimental approach.
Published What coffee with cream can teach us about quantum physics



A new advancement in theoretical physics could, one day, help engineers develop new kinds of computer chips that might store information for longer in very small objects.
Published When lab-trained AI meets the real world, 'mistakes can happen'



Human pathologists are extensively trained to detect when tissue samples from one patient mistakenly end up on another patient's microscope slides (a problem known as tissue contamination). But such contamination can easily confuse artificial intelligence (AI) models, which are often trained in pristine, simulated environments, reports a new study. Each of the four AI models in the study paid too much attention to the tissue contamination, which resulted in errors when diagnosing or detecting vessel damage, gestational age, lesions and prostate cancer, the study found.
Published New research guides mathematical model-building for gene regulatory networks



A newly published study provides guidance for building accurate mathematical models for gene regulatory networks.
Published Student discovers 200-million-year-old flying reptile



Gliding winged-reptiles were amongst the ancient crocodile residents of the Mendip Hills in Somerset, England, researchers at the have revealed.
Published AI harnesses tumor genetics to predict treatment response



Cancer resists treatment in a multitude of ways, but a new algorithm developed can decode them all simultaneously.
Published New AI makes better permafrost maps



New insights from artificial intelligence about permafrost coverage in the Arctic may soon give policy makers and land managers the high-resolution view they need to predict climate-change-driven threats to infrastructure such as oil pipelines, roads and national security facilities.
Published New research sheds light on an old fossil solving an evolutionary mystery



Picrodontids -- an extinct family of placental mammals that lived several million years after the extinction of the dinosaurs -- are not primates as previously believed.
Published Researchers developing AI to make the internet more accessible



In an effort to make the internet more accessible for people with disabilities, researchers have begun developing an artificial intelligence agent that could complete complex tasks on any website using simple language commands.
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 'Juvenile T. rex' fossils are a distinct species of small tyrannosaur



A new analysis of fossils believed to be juveniles of T. rex now shows they were adults of a small tyrannosaur, with narrower jaws, longer legs, and bigger arms than T. rex. The species, Nanotyrannus lancensis, was first named decades ago but later reinterpreted as a young T. rex. The new study shows Nanotyrannus was a smaller, longer-armed relative of T. rex, with a narrower snout.
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 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.