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Categories: Anthropology: Cultures, Mathematics: Modeling

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Anthropology: Cultures Anthropology: General Biology: Botany Ecology: Invasive Species
Published

Legacy of Indigenous stewardship of camas dates back more than 3,500 years      (via sciencedaily.com)     Original source 

A new study found evidence that Indigenous groups in the Pacific Northwest were intentionally harvesting edible camas bulbs at optimal stages of the plant's maturation as far back as 3,500 years ago.

Anthropology: Cultures Anthropology: General
Published

What pottery reveals about prehistoric Central European culinary traditions      (via sciencedaily.com)     Original source 

The analysis of fat traces in over one hundred pottery vessels reveals deep changes in food consumption and preparation by communities living in central Germany between the Early Neolithic and the Late Bronze Age, as well as in their relation with innovations in pottery styles and decorations. In a groundbreaking study, researchers identified a generalized inclusion of dairy products in prehistoric diets, a preference in consuming pork with the arrival of communities from the Eurasian Steppe, and the importance of dairy products in funeral rites. Central Germany was a key region for the emergence of great prehistoric cultures, such as the Linear Pottery Culture, the Corded Ware Culture, the Bell Beaker populations and the Unetice Culture, one of the first state societies in Europe.

Computer Science: General Computer Science: Quantum Computers Mathematics: Modeling
Published

How AI helps programming a quantum computer      (via sciencedaily.com)     Original source 

Researchers have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to find the appropriate sequence of quantum gates to execute a quantum operation. The study marks a significant step forward in unleashing the full extent of quantum computing.

Anthropology: Cultures Biology: Biochemistry Biology: Biotechnology Biology: Evolutionary Biology: General Biology: Microbiology Biology: Zoology Ecology: Endangered Species Ecology: Extinction Ecology: Invasive Species Geoscience: Geography Paleontology: Fossils Paleontology: General
Published

Evolutionary history of extinct duck revealed      (via sciencedaily.com)     Original source 

The study's findings show mergansers arrived in the New Zealand region at least seven million years ago from the Northern Hemisphere, in a separate colonisation event to that which led to the Brazilian merganser.

Anthropology: Cultures Anthropology: General Archaeology: General Biology: Biochemistry Paleontology: Climate
Published

Early arrival and expansion of palaeolithic people on Cyprus      (via sciencedaily.com)     Original source 

The patterns of dispersal of early humans across continents and islands are hotly debated, but researchers have found that Pleistocene hunter-gatherers settled in Cyprus thousands of years earlier than previously thought. In examining the timing of the first human occupation of Cyprus, research found that large islands in the Mediterranean Sea were attractive and favorable destinations for palaeolithic peoples. These findings refute previous studies that suggested Mediterranean islands would have been unreachable and inhospitable for Pleistocene hunter-gatherer societies.

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

Large language models can't effectively recognize users' motivation, but can support behavior change for those ready to act      (via sciencedaily.com)     Original source 

Large language model-based chatbots can't effectively recognize users' motivation when they are hesitant about making healthy behavior changes, but they can support those who are committed to take action, say researchers.

Mathematics: General Mathematics: Modeling Mathematics: Statistics Physics: General
Published

Scientists use generative AI to answer complex questions in physics      (via sciencedaily.com)     Original source 

Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches.

Mathematics: Modeling
Published

Researchers wrestle with accuracy of AI technology used to create new drug candidates      (via sciencedaily.com)     Original source 

Researchers have determined that a protein prediction technology can yield accurate results in the hunt to efficiently find the best possible drug candidates for many conditions.

Computer Science: Quantum Computers Mathematics: Modeling Offbeat: Computers and Math Offbeat: General
Published

Wavefunction matching for solving quantum many-body problems      (via sciencedaily.com)     Original source 

Strongly interacting systems play an important role in quantum physics and quantum chemistry. Stochastic methods such as Monte Carlo simulations are a proven method for investigating such systems. However, these methods reach their limits when so-called sign oscillations occur. This problem has now been solved using the new method of wavefunction matching.

Ecology: General Environmental: Ecosystems Mathematics: General Mathematics: Modeling Mathematics: Statistics
Published

Century of statistical ecology reviewed      (via sciencedaily.com)     Original source 

A special review examines highly-cited papers in statistical ecology. The review, which covers a century of research, details how models and concepts have evolved alongside increasing computational power.

Chemistry: Biochemistry Chemistry: Thermodynamics Computer Science: General Mathematics: Modeling Mathematics: Statistics Physics: General
Published

New work extends the thermodynamic theory of computation      (via sciencedaily.com)     Original source 

Physicists and computer scientists have recently expanded the modern theory of the thermodynamics of computation. By combining approaches from statistical physics and computer science, the researchers introduce mathematical equations that reveal the minimum and maximum predicted energy cost of computational processes that depend on randomness, which is a powerful tool in modern computers.

Computer Science: General Mathematics: Modeling Physics: General
Published

New machine learning algorithm promises advances in computing      (via sciencedaily.com)     Original source 

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Mathematics: Modeling
Published

AI advancements make the leap into 3D pathology possible      (via sciencedaily.com)     Original source 

Researchers present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. The research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. The models were then trained to predict prostate cancer recurrence risk on volumetric human tissue biopsies. By comprehensively capturing 3D morphologies from the entire tissue volume, Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices.

Chemistry: General Chemistry: Inorganic Chemistry Mathematics: Modeling
Published

An AI leap into chemical synthesis      (via sciencedaily.com)     Original source 

Scientists introduce a large language model-based AI system that revolutionizes chemistry by integrating 18 advanced tools for tasks like organic synthesis and drug discovery.

Mathematics: Modeling
Published

Emergency department packed to the gills? Someday, AI may help      (via sciencedaily.com)     Original source 

Emergency departments nationwide are overcrowded and overtaxed, but a new study suggests artificial intelligence (AI) could one day help prioritize which patients need treatment most urgently.

Mathematics: Modeling
Published

Researchers use foundation models to discover new cancer imaging biomarkers      (via sciencedaily.com)     Original source 

Researchers have harnessed the technology behind foundation models, which power tools like ChatGPT, to discover new cancer imaging biomarkers that could transform how patterns are identified from radiological images. Improved identification of such patterns can greatly impact the early detection and treatment of cancer.

Chemistry: Biochemistry Mathematics: Modeling Physics: Acoustics and Ultrasound
Published

Why getting in touch with our 'gerbil brain' could help machines listen better      (via sciencedaily.com)     Original source 

Researchers have debunked a 75-year-old theory about how humans determine where sounds are coming from, and it could unlock the secret to creating a next generation of more adaptable and efficient hearing devices ranging from hearing aids to smartphones.

Anthropology: Cultures Anthropology: General Archaeology: General Biology: Biochemistry Biology: Zoology Ecology: Animals
Published

In medieval England, leprosy spread between red squirrels and people, genome evidence shows      (via sciencedaily.com)     Original source 

Evidence from archaeological sites in the medieval English city of Winchester shows that English red squirrels once served as an important host for Mycobacterium leprae strains that caused leprosy in people, researchers report.

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

Toxic chemicals can be detected with new AI method      (via sciencedaily.com)     Original source 

Researchers have developed an AI method that improves the identification of toxic chemicals -- based solely on knowledge of the molecular structure. The method can contribute to better control and understanding of the ever-growing number of chemicals used in society, and can also help reduce the amount of animal tests.

Computer Science: General Environmental: General Geoscience: Earth Science Geoscience: Environmental Issues Mathematics: General Mathematics: Modeling Paleontology: Climate
Published

New computer algorithm supercharges climate models and could lead to better predictions of future climate change      (via sciencedaily.com)     Original source 

A study describes a new computer algorithm which can be applied to Earth System Models to drastically reduce the time needed to prepare these in order to make accurate predictions of future climate change. During tests on models used in IPCC simulations, the algorithm was on average 10 times faster at spinning up the model than currently-used approaches, reducing the time taken to achieve equilibrium from many months to under a week.