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Categories: Geoscience: Landslides, Mathematics: Modeling

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Researchers test cognitive abilities of the language model GPT-3.

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A new machine learning model can predict traffic activity in different zones of cities. To do so, a researcher used data from a main car-sharing company in Italy as a proxy for overall city traffic. Understanding how different urban zones interact can help avoid traffic jams, for example, and enable targeted responses of policy makers -- such as local expansion of public transportation.

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Octopus arms coordinate nearly infinite degrees of freedom to perform complex movements such as reaching, grasping, fetching, crawling, and swimming. How these animals achieve such a wide range of activities remains a source of mystery, amazement, and inspiration. Part of the challenge comes from the intricate organization and biomechanics of the internal muscles.

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High-resolution microscopy techniques, for example electron microscopy or super-resolution microscopy, produce huge amounts of data. The visualization, analysis and dissemination of such large imaging data sets poses significant challenges. Now, these tasks can be carried out using MoBIE, which stands for Multimodal Big Image Data Exploration, a new user-friendly, freely available tool. This means that researchers such as biologists, who rely on high-resolution microscopy techniques, can incorporate multiple data sets to study the processes of life at the very smallest scales.

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Theoretical chemists have developed a theory that can predict the threshold at which quantum dynamics switches from 'orderly' to 'random,' as shown through research using large-scale computations on photosynthesis models.

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Using ensemble learning techniques and longitudinal data from a large naturalistic driving study, researchers have developed a novel, interpretable and highly accurate algorithm for predicting mild cognitive impairment and dementia in older drivers. Digital markers refer to variables generated from data captured through recording devices in the real-world setting. These data could be processed to measure driving behavior, performance and tempo-spatial pattern in exceptional detail.

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Researchers have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to SARS-CoV-2, the virus that causes it.

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Language models that generate text in response to user prompts plagiarize content in more ways than one, according to a research team that conducted a study to directly examine the phenomenon.

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Using artificial intelligence (AI), researchers can now follow cell movement across time and space. The method could be very helpful for developing more effective cancer medications.

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Researchers used computational modeling to uncover mutations in the human genome that likely influenced the evolution of human cognition. This groundbreaking research in human genomics could lead to a better understanding of human health and the discovery of novel treatments for complex brain disorders. The study is to be published in Science Advances.

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A new study finds that a 200-year-old technique called Fourier analysis can reveal crucial information about how the form of artificial intelligence called deep neural networks (DNN) learn to perform tasks involving complex physics. Researchers discovered the technique can directly connect what a DNN has learned to the physics of the complex system the DNN is modeling.

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When patients receive care after cardiac arrest, doctors can now -- by entering patient data in a web-based app -- find out how thousands of similar patients have fared. Researchers have developed three such systems of decision support for cardiac arrest that may, in the future, make a major difference to doctors' work.

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Computer software can predict what happens to complex gene networks when individual genes are missing or dialed up more than usual. Mapping the roles of single genes in these networks is key to understanding healthy development and finding ways to regrow damaged cells and tissues. Understanding genetic errors could provide insight into birth defects, miscarriage or even cancer.

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Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these large language models write smaller linear models inside their hidden layers, which the large models can train to complete a new task using simple learning algorithms.

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Researchers recently modeled the transmission of COVID-19 within an isolation room at the Royal Brompton Hospital in London, U.K. Their goal was to explore the optimal room layout to reduce the risk of infection for health care staff.

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A new 'outside-the-box' method of teaching artificial intelligence (AI) models to make decisions could provide hope for finding new therapeutic methods for cancer, according to a new study.

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Computer scientists recently announced a new, predictive model that is capable of accurately forecasting where a migratory bird will go next -- one of the most difficult tasks in biology. The model is called BirdFlow, and while it is still being perfected, it should be available to scientists within the year and will eventually make its way to the general public.

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If scaled up successfully, the team's new system could help answer questions about certain kinds of superconductors and other unusual states of matter.

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A handful of hyper-productive fisheries provide sustenance to a billion people and employ tens of millions. These fisheries occur on the eastern edges of the world's oceans -- off the West Coast of the U.S., the Canary Islands, Peru, Chile, and Benguela. There, a process called upwelling brings cold water and nutrients to the surface, which in turn supports large numbers of larger sea creatures that humans depend on for sustenance. A new project is seeking to understand how changes to the climate and oceans will impact fisheries in the U.S. and around the world.

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In the 'butterfly effect,' an insect can flap its wings and create a microscopic change in initial conditions that leads to a hurricane halfway around the world. This chaos is seen everywhere, from weather to labor markets to brain dynamics. And now researchers explored how to turn the twisting, fractal structures behind the science into jewelry with 3D printing. The jewelry shapes are based on the Chua circuit, a simple electronic system that was the first physical, mathematical, and experimental proof of chaos.