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Categories: Mathematics: Modeling, Paleontology: Fossils
Published Unveiling Japan's ancient practice of cranial modification: The case of the Hirota people in Tanegashima



Cranial modification is a form of body alteration where the head is pressed or bound to permanently deform the skull. The practice has been reported across various cultures throughout history. Researchers report that the Hirota people -- who lived on the southern Japanese island of Tanegashima between the 3rd to 7th century CE -- also conducted cranial modification, with indication that both males and females performed the practice.
Published AI models are powerful, but are they biologically plausible?


Researchers hypothesize that a powerful type of AI model known as a transformer could be implemented in the brain through networks of neuron and astrocyte cells. The work could offer insights into how the brain works and help scientists understand why transformers are so effective at machine-learning tasks.
Published Researchers use mathematical modeling and dynamic biomarkers to characterize metastatic disease during adaptive therapy


Researchers demonstrate how mathematical modeling combined with dynamic biomarkers can be used to characterize metastatic disease and identify appropriate therapeutic approaches to improve patient outcomes.
Published Scientists explore dinosaur 'Coliseum' in Denali National Park



Scientists have discovered and documented the largest known single dinosaur track site in Alaska. The site, located in Denali National Park and Preserve, has been dubbed 'The Coliseum' by researchers.
Published Distribution of genetic information during bacterial cell division


A mathematical model provides new insights into the distribution of genetic information during bacterial cell division
Published Artificial intelligence designs advanced materials


Scientists pioneer a new machine learning model for corrosion-resistant alloy design.
Published Evolving elegance: Scientists connect beauty and safeguarding in ammonoid shells



With 350 million years of evolution culminating in almost two centuries of scientific discourse, a new hypothesis emerges. Researchers propose a new explanation for why ammonoids evolved a highly elaborate, fractal-like geometry within their shells. Their analysis shows that the increasing complexity of shell structures provided a distinct advantage by offering improved protection against predators.
Published Tool finds bias in state-of-the-art generative AI model


Researchers introduce a new tool to measure bias in text-to-image AI generation models, which they have used to quantify bias in the state-of-the-art model Stable Diffusion.
Published Turning ChatGPT into a 'chemistry assistant'


Developing new materials requires significant time and labor, but some chemists are now hopeful that artificial intelligence (AI) could one day shoulder much of this burden. In a new study, a team prompted a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature. With that data, they built a second tool, a model to predict experimental results.
Published Fossil feces infested with parasites from over 200 million years ago



Fossilized feces preserve evidence of ancient parasites that infected an aquatic predator over 200 million years ago, according to a new study.
Published Drops of seawater contain traces of an ancient world



New research links chemical changes in seawater to volcanic activity and changes.
Published Ancient DNA reveals an early African origin of Cattle in the Americas



Using ancient DNA, researchers have determined cattle were imported from Africa to the Americas much earlier in the process of European colonization than documented. The first records of African cattle in the Americas date back to the 1800s, leading some historians to conclude that early colonists relied entirely on a small stock of European cattle initially shipped to the Caribbean Islands. DNA from archaeological specimens pushes the introduction of African cattle back by more than 100 years.
Published New model reduces bias and enhances trust in AI decision-making and knowledge organization


Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.
Published Self-supervised AI learns physics to reconstruct microscopic images from holograms


Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught their AI model to reconstruct microscopic images using only random artificial holograms -- synthesized solely from 'imagination' without relying on any real-world experiments, actual sample resemblances or real data.
Published How good is that AI-penned radiology report?


New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring systems that outperform current automated systems that evaluate the accuracy of AI narrative reports. Reliable scoring systems that accurately gauge the performance of AI models are critical for ensuring that AI continues to improve and that clinicians can trust them.
Published Deep learning for new protein design


Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates verified in the lab for binding a designed protein with its target protein. The results will help scientists design better drugs against diseases like cancer and COVID-19.
Published New method simplifies the construction process for complex materials


A new technique incorporates many different building blocks of cellular metamaterials into one unified graph-based representation. This can be used to make a user-friendly interface that can quickly and easily model metamaterials, edit the structures, and simulate their properties.
Published Oldest known species of swimming jellyfish identified



Royal Ontario Museum announces the oldest swimming jellyfish in the fossil record with the newly named Burgessomedusa phasmiformis. This 505-million-year-old swimming jellyfish from the Burgess Shale highlights diversity in the Cambrian ecosystem.
Published Earth's most ancient impact craters are disappearing



Earth's oldest craters could give scientists critical information about the structure of the early Earth and the composition of bodies in the solar system as well as help to interpret crater records on other planets. But geologists can't find them, and they might never be able to, according to a new study.
Published Scientists uncover a surprising connection between number theory and evolutionary genetics


An interdisciplinary team of mathematicians, engineers, physicists, and medical scientists has uncovered an unexpected link between pure mathematics and genetics, that reveals key insights into the structure of neutral mutations and the evolution of organisms.