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Categories: Mathematics: Modeling, Offbeat: Paleontology and Archeology
Published Three-eyed distant relative of insects and crustaceans reveals amazing detail of early animal evolution
(via sciencedaily.com) Original source Scientists use cutting edge scanning technology to reconstruct 'fossil monster' that lived half a billion years ago. The creature's soft anatomy was well-preserved, allowing it to be imaged almost completely: It fills a gap in our understanding of the evolution of arthropods such as insects and crustaceans.
Published Newly discovered 'primitive cousins of T rex' shed light on the end of the age of dinosaurs in Africa
(via sciencedaily.com) Original source Researchers have discovered the fossils of two new abelisaurs in Morocco, showing the diversity of dinosaurs in this region at the end of the Cretaceous period.
Published Researchers extract ancient DNA from a 2,900-year-old clay brick, revealing a time capsule of plant life
(via sciencedaily.com) Original source For the first time, a group of researchers have successfully extracted ancient DNA from a 2,900-year-old clay brick. The analysis provides a fascinating insight into the diversity of plant species cultivated at that time and place, and could open the way to similar studies on clay material from other sites and time periods.
Published Did sabertooth tigers purr or roar?
(via sciencedaily.com) Original source When a sabertooth tiger called out, what noise did it make -- a mighty roar or a throaty purr? A new study examined the data behind the arguments for each vocalization and found that the answer was more nuanced than they thought -- and that it could depend on the shape of a few small bones.
Published Iceman Ötzi: Dark skin, bald head, Anatolian ancestry
(via sciencedaily.com) Original source A research team has used advanced sequencing technology to analyze Ötzi's genome to obtain a more accurate picture of the Iceman's appearance and genetic origins.
Published AI models are powerful, but are they biologically plausible?
(via sciencedaily.com) 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 'Resurrecting' the legendary figure behind Count Dracula
(via sciencedaily.com) Original source Vlad III, known as Vlad the Impaler, was a 15th century prince and military leader who was so terrifying, he's thought to have inspired the creation of the literary vampire, Count Dracula. Now, a scientific examination of his letters is giving new insights into his health. Researchers say the results suggest that Vlad probably had skin and respiratory conditions and could have even cried literal tears of blood.
Published Researchers use mathematical modeling and dynamic biomarkers to characterize metastatic disease during adaptive therapy
(via sciencedaily.com) 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 Distribution of genetic information during bacterial cell division
(via sciencedaily.com) A mathematical model provides new insights into the distribution of genetic information during bacterial cell division
Published Artificial intelligence designs advanced materials
(via sciencedaily.com) Scientists pioneer a new machine learning model for corrosion-resistant alloy design.
Published Tool finds bias in state-of-the-art generative AI model
(via sciencedaily.com) 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'
(via sciencedaily.com) 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
(via sciencedaily.com) Original source 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
(via sciencedaily.com) Original source New research links chemical changes in seawater to volcanic activity and changes.
Published Whale-like filter-feeding discovered in prehistoric marine reptile
(via sciencedaily.com) Original source A remarkable new fossil from China reveals for the first time that a group of reptiles were already using whale-like filter feeding 250 million years ago.
Published New model reduces bias and enhances trust in AI decision-making and knowledge organization
(via sciencedaily.com) 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
(via sciencedaily.com) 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?
(via sciencedaily.com) 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
(via sciencedaily.com) 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
(via sciencedaily.com) 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.