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Categories: Mathematics: Modeling, Paleontology: Fossils

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Environmental: General Geoscience: Earth Science Geoscience: Environmental Issues Geoscience: Geochemistry Geoscience: Geography Geoscience: Geomagnetic Storms Geoscience: Severe Weather Paleontology: Fossils
Published

Researchers identify largest ever solar storm in ancient 14,300-year-old tree rings      (via sciencedaily.com)     Original source 

An international team of scientists have discovered a huge spike in radiocarbon levels 14,300 years ago by analyzing ancient tree-rings found in the French Alps. The radiocarbon spike was caused by a massive solar storm, the biggest ever identified.  A similar solar storm today would be catastrophic for modern technological society – potentially wiping out telecommunications and satellite systems, causing massive electricity grid blackouts, and costing us billions. The academics are warning of the importance of understanding such storms to protect our global communications and energy infrastructure for the future.

Computer Science: Artificial Intelligence (AI) Mathematics: Modeling
Published

AI language models could help diagnose schizophrenia      (via sciencedaily.com)     Original source 

Scientists have developed new tools, based on AI language models, that can characterize subtle signatures in the speech of patients diagnosed with schizophrenia.

Biology: Biochemistry Biology: Evolutionary Biology: General Offbeat: General Offbeat: Paleontology and Archeology Offbeat: Plants and Animals Paleontology: Fossils Paleontology: General
Published

Ginger pigment molecules found in fossil frogs      (via sciencedaily.com) 

Palaeontologists discover molecular evidence of phaeomelanin, the pigment that produces ginger coloration. Phaeomelanin is now toxic to animals – this discovery may be first step in understand its evolution. 

Chemistry: Biochemistry Chemistry: Organic Chemistry Computer Science: General Mathematics: Modeling
Published

Researchers create a neural network for genomics -- one that explains how it achieves accurate predictions      (via sciencedaily.com)     Original source 

A team of computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks--the engines that drive artificial intelligence and machine learning--thereby illuminating a process that has largely been concealed from users.   

Computer Science: Quantum Computers Mathematics: General Mathematics: Modeling Physics: General Physics: Quantum Computing Physics: Quantum Physics
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Machine learning used to probe the building blocks of shapes      (via sciencedaily.com)     Original source 

Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths.

Biology: Cell Biology Biology: General Biology: Zoology Computer Science: Artificial Intelligence (AI) Computer Science: General Ecology: Nature Ecology: Research Mathematics: Modeling
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Birders and AI push bird conservation to the next level      (via sciencedaily.com)     Original source 

Big data and artificial intelligence (AI) are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species’ full annual life cycle, from breeding to fall migration to non-breeding grounds, and back north again during spring migration.

Anthropology: General Biology: Biochemistry Biology: Evolutionary Biology: General Biology: Zoology Paleontology: Fossils Paleontology: General
Published

Insights into early snake evolution through brain analysis      (via sciencedaily.com)     Original source 

Recent study sheds new light on the enigmatic early evolution of snakes by examining an unexpected source: their brains. The results emphasize the significance of studying both the soft parts of animals’ bodies and their bones for understanding how animals evolved.

Biology: Biochemistry Biology: Cell Biology Biology: Microbiology Computer Science: Artificial Intelligence (AI) Mathematics: General Mathematics: Modeling
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Sperm swimming is caused by the same patterns that are believed to dictate zebra stripes      (via sciencedaily.com)     Original source 

Patterns of chemical interactions are thought to create patterns in nature such as stripes and spots. This new study shows that the mathematical basis of these patterns also governs how sperm tail moves.

Chemistry: Biochemistry Chemistry: General Chemistry: Organic Chemistry Computer Science: General Computer Science: Virtual Reality (VR) Mathematics: Modeling
Published

Drug discovery on an unprecedented scale      (via sciencedaily.com) 

Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers teamed up with industry and supercomputers to carry out one of the world's largest virtual drug screens.

Anthropology: Cultures Anthropology: Early Humans Anthropology: General Archaeology: General Geoscience: Environmental Issues Paleontology: Fossils Paleontology: General
Published

Pollen analysis suggests peopling of Siberia and Europe by modern humans occurred during a major Pleistocene warming spell      (via sciencedaily.com)     Original source 

A new study appearing in Science Advances compares Pleistocene vegetation communities around Lake Baikal in Siberia, Russia, to the oldest archeological traces of Homo sapiens in the region. The researchers use the 'remarkable evidence' to tell a compelling story from 45,000-50,000 years ago with new detail: how the first humans migrated across Europe and Asia.

Mathematics: Modeling
Published

AI helps bring clarity to LASIK patients facing cataract surgery      (via sciencedaily.com) 

Scientists develop computer models of patients' eyes to identify the ideal intraocular lenses and visual simulators for patients to experience how they will see with them.

Anthropology: General Archaeology: General Paleontology: Fossils
Published

New study reveals a long history of violence in ancient hunter-gatherer societies      (via sciencedaily.com)     Original source 

Violence was a consistent part of life among ancient communities of hunter-gatherers, according to a new study that looked for signs of trauma on 10,000-year-old skeletal remains from burial sites in northern Chile.

Anthropology: Early Humans Anthropology: General Biology: Biochemistry Biology: Evolutionary Biology: Microbiology Biology: Zoology Ecology: Extinction Offbeat: General Offbeat: Paleontology and Archeology Offbeat: Plants and Animals Paleontology: Dinosaurs Paleontology: Fossils Paleontology: General
Published

Slow growth in crocodile ancestors pre-dated their semi-aquatic lifestyle      (via sciencedaily.com)     Original source 

A groundbreaking study is reshaping our understanding of crocodile evolution by pinpointing the onset of slow growth rates to the Late Triassic period, much earlier than the previously assumed Early Jurassic timeline. The research highlights newly discovered fossil crocodile ancestors (known as crocodylomorphs) that exhibited slow growth rates, similar to modern-day crocodilians. Intriguingly, these early crocodylomorphs were not the lethargic, semi-aquatic creatures we are familiar with today; they were small, active, and fully terrestrial. The study also suggests that this slow-growth strategy was not a mere evolutionary quirk but a survival mechanism, as only the slow-growing crocodylomorphs managed to survive the End-Triassic mass extinction. This stands in stark contrast to the fast-growing dinosaurs of the same era, setting the stage for the divergent evolutionary paths that would later define their modern descendants.

Chemistry: Biochemistry Mathematics: General Mathematics: Modeling Physics: General
Published

Machine learning models can produce reliable results even with limited training data      (via sciencedaily.com) 

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.