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Categories: Mathematics: Modeling, Paleontology: Early Mammals and Birds
Published Researchers name prehistoric amphibian ancestor discovered in Smithsonian collection after Kermit the Frog



Scientists have uncovered the fossilized skull of a 270-million-year-old ancient amphibian ancestor in the collection of the Smithsonian's National Museum of Natural History. The team of researchers described the fossil as a new species of proto-amphibian, which they named Kermitops gratus in honor of the iconic Muppet, Kermit the Frog.
Published Powerful new AI can predict people's attitudes to vaccines



A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.
Published New technique helps AI tell when humans are lying



Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don't always tell the truth when providing personal information. The new tool was developed for use in contexts when humans have an economic incentive to lie, such as applying for a mortgage or trying to lower their insurance premiums.
Published Vac to the future



Scientists recently published the results of a competition that put researchers to the test. For the competition, part of the NIH-funded Computational Models of Immunity network, teams of researchers from different institutions offered up their best predictions regarding B. pertussis (whooping cough) vaccination.
Published AI for astrophysics: Algorithms help chart the origins of heavy elements



The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and form new elements in a split-second window of time. Testing this theory and answering other astrophysical questions requires predictions for a vast range of masses of atomic nuclei. Scientists are using machine learning algorithms to successfully model the atomic masses of the entire nuclide chart -- the combination of all possible protons and neutrons that defines elements and their isotopes.
Published Researchers develop a new control method that optimizes autonomous ship navigation



Existing ship control systems using Model Predictive Control for Maritime Autonomous Surface Ships (MASS) do not consider the various forces acting on ships in real sea conditions. Addressing this gap, researchers developed a novel time-optimal control method, that accounts for the real wave loads acting on a ship, enabling effective planning and control of MASS at sea.
Published Alaska dinosaur tracks reveal a lush, wet environment



A large find of dinosaur tracks and fossilized plants and tree stumps in far northwestern Alaska provides new information about the climate and movement of animals near the time when they began traveling between the Asian and North American continents roughly 100 million years ago.
Published How do neural networks learn? A mathematical formula explains how they detect relevant patterns



Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.
Published Balancing training data and human knowledge makes AI act more like a scientist



When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training -- such as the laws of physics --could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.
Published Method rapidly verifies that a robot will avoid collisions



A new safety-check technique can prove with 100 percent accuracy that a planned robot motion will not result in a collision. The method can generate a proof in seconds and does so in a way that can be easily verified by a human.
Published Running performance helped by mathematical research



A new mathematical model has shown, with great precision, the impact that physiological and psychological parameters have on running performance and provides tips for optimized training.
Published Fossil named 'Attenborough's strange bird' was the first in its kind without teeth



A new fossil, named 'Attenborough's strange bird' after naturalist and documentarian Sir David Attenborough, is the first of its kind to evolve a toothless beak. It's from a branch of the bird family tree that went extinct in the mass extinction 66 million years ago, and this strange bird is another puzzle piece that helps explain why some birds -- and their fellow dinosaurs -- went extinct, and others survived to today.
Published New AI model draws treasure maps to diagnose disease



Researchers have developed an artificial intelligence model that can accurately identify tumors and diseases in medical images. The tool draws a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.
Published Slimming down a colossal fossil whale



A 30 million year-old fossil whale may not be the heaviest animal of all time after all, according to a new analysis by paleontologists. The new analysis puts Perucetus colossus back in the same weight range as modern whales and smaller than the largest blue whales ever recorded.
Published What math tells us about social dilemmas



Human coexistence depends on cooperation. Individuals have different motivations and reasons to collaborate, resulting in social dilemmas, such as the well-known prisoner's dilemma. Scientists now present a new mathematical principle that helps to understand the cooperation of individuals with different characteristics.
Published Killer instinct drove evolution of mammals' predatory ancestors



The evolutionary success of the first large predators on land was driven by their need to improve as killers, researchers suggest.
Published Improving efficiency, reliability of AI medical summarization tools



Medical summarization, a process that uses artificial intelligence (AI) to condense complex patient information, is currently used in health care settings for tasks such as creating electronic health records and simplifying medical text for insurance claims processing. While the practice is intended to create efficiencies, it can be labor-intensive, according researchers who created a new method to streamline the way AI creates these summaries, efficiently producing more reliable results.
Published Plasma scientists develop computer programs that could reduce the cost of microchips and stimulate American manufacturing



Fashioned from the same element found in sand and covered by intricate patterns, microchips power smartphones, augment appliances and aid the operation of cars and airplanes. Now, scientists are developing computer simulation codes that will outperform current simulation techniques and aid the production of microchips using plasma, the electrically charged state of matter also used in fusion research. These codes could help increase the efficiency of the manufacturing process and potentially stimulate the renaissance of the chip industry in the United States.
Published Accelerating the discovery of single-molecule magnets with deep learning



Single-molecule magnets (SMMs) are exciting materials. In a recent breakthrough, researchers have used deep learning to predict SMMs from 20,000 metal complexes. The predictions were made solely based on the crystal structures of these metal complexes, thus eliminating the need for time-consuming experiments and complex simulations. As a result, this method is expected to accelerate the development of functional materials, especially for high-density memory and quantum computing devices.
Published Panama Canal expansion rewrites history of world's most ecologically diverse bats



In a new study, paleontologists describe the oldest-known leaf-nosed bat fossils, which were found along the banks of the Panama Canal. They're also the oldest bat fossils from Central America, preserved 20-million years ago when Panama and the rest of North America were separated from southern landmass by a seaway at least 120 miles wide.