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Categories: Geoscience: Severe Weather, Mathematics: Modeling

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Researchers highlight the roles of carbon dioxide and ocean currents as key drivers of temperature fluctuations in the tropical Andes over a 16,000 year period.

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Large Language Models (LLMs) are entirely controllable through human prompts and lack 'emergent abilities'; that is, the means to form their own insights or conclusions. Increasing model size does not lead LLMs to gain emergent reasoning abilities, meaning they will not develop hazardous abilities and therefore do not pose an existential threat. A new study sheds light on the (until now unexplained) capabilities and shortcomings of LLMs, including the need for carefully engineered prompts to exhibit good performance.

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A new artificial intelligence model can predict how different proteins may bind to DNA.

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Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease. Researchers now propose guidelines that outline pitfalls and opportunities for using interpretable machine learning methods to tackle computational biology problems.

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Coral cover has increased in all three regions on the Great Barrier Reef and is at regional highs in two of the three regions, according to a new report. But the results come with a note of caution.

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To protect the Amazon and support the wellbeing of its people, its economy needs to shift from environmentally harmful production to a model built around the diversity of indigenous and rural communities, and standing forests.

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With GROVER, a new large language model trained on human DNA, researchers could now attempt to decode the complex information hidden in our genome. GROVER treats human DNA as a text, learning its rules and context to draw functional information about the DNA sequences.

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A new study highlights how a combination of environmental stressors -- namely plastic pollution and seawater flooding -- can increase the threats faced by plants in some of the planet's critical ecosystems. It showed that both stressors had some effects on the species tested, but being exposed to both microplastics and flooding together -- a threat likely to increase as a result of climate change and plastic use -- had a more pronounced impact on their resource allocation.

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As they are in many places around the globe, glaciers perched high in the Andes Mountains are shrinking. Now, researchers have uncovered evidence that the high-altitude tropical ice fields are likely smaller than they've been at any time since the last ice age ended 11,700 years ago.

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Thermometer, a new calibration technique tailored for large language models, can prevent LLMs from being overconfident or underconfident about their predictions. The technique aims to help users know when a model should be trusted.

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A new study places the origin of the Imazighen in the Epipaleolithic, more than twenty thousand years ago. The research concludes that the genetic origin of the current Arab population of north Africa is far more recent than previously believed, placing it in the seventh century AD. The team has designed an innovative demographic model that uses artificial intelligence to analyze the complete genomes of the two populations.

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A study reveals that tropical cyclones in Southeast Asia are now forming closer to coastlines, intensifying more rapidly, and lingering longer over land.

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Clean energy investments offer potential stability and growth, especially during volatile market conditions. A recent study explored the relationship between clean energy markets and global stock markets. Significant spillovers were observed from major indices like the SP500 to markets such as Japan's Nikkei225 and Global Clean Energy Index. These interactions suggest opportunities for optimizing investment portfolios and leveraging clean energy assets as hedging tools in volatile market environments.

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Forecasting European winter weather patterns months in advance is made simpler during years of strong El Ni o or La Ni a events in the tropical Pacific Ocean, a new study has found.

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Researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops.

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July 22, 2024, was the hottest day on record, according to a NASA analysis of global daily temperature data. July 21 and 23 of this year also exceeded the previous daily record, set in July 2023. These record-breaking temperatures are part of a long-term warming trend driven by human activities, primarily the emission of greenhouse gases.

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Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.

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A type of invisible, unpredictable air turbulence is expected to occur more frequently in the Northern Hemisphere as the climate warms. Known as clear air turbulence, the phenomenon also increased in the Northern Hemisphere between 1980 and 2021.

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Coffee beans consumed across the globe come from two species: Coffea arabica and Coffea canephora. By 2050, about 80% of Arabica production is predicted to decrease because of climate change. Researchers are investigating to see if they can find alternative coffee cultivars.

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Tackling a long-time mystery, scientists have found that the turbulent movements of air in clouds play a key role in the growth of water droplets and the initiation of rain. The research can improve computer model simulations of weather and climate and ultimately lead to better forecasts.