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Categories: Ecology: Invasive Species, Mathematics: Modeling

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

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New research has shown that glossy black-cockatoos prefer to feed from trees growing in acidic soils.

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The need for a dramatic selfie or the perfect landscape photo is proving detrimental to nature, a new research collaboration has found.

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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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A new paper describes a ground-breaking experiment that united 25 independent taxonomists from 10 countries. The initiative boasts the discovery of 11 new marine species from all over the globe, occurring at depths from 5.2 to 7081 meters. It also represents a significant step forward in accelerating the pace at which new marine species are described and published.

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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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Researchers have discovered a new species of sea star (also known as starfish). The discovery came about thanks to collaborative work among researchers, fishers, and aquarium and museum staff. The starfish, which has been named Paragonaster hoeimaruae, belongs to the family Pseudarchasteridae. It is a distinctive red and beige color, with five arms and spans just over 10 centimeters.

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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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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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Researchers investigate the representation of native fauna on 4,541 banknotes from 207 countries between 1980 and 2017, to identify geographic hotspots and taxonomic patterns, and determine whether threatened and endemic species were more readily represented.

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Researchers and community scientists monitored urban milkweed plants for butterfly eggs to learn what makes these city gardens more hospitable to monarchs. They found that even tiny city gardens attracted monarchs and became a home to caterpillars.

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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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Researchers undertaking an evolutionary survey of the microscopic structure of wood from some of the world's most iconic trees and shrubs have discovered an entirely new type of wood.

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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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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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Researchers have made the first scientific confirmation in Puget Sound of two distinct shark species, one of them critically endangered.

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Using data from 6,645 camera traps across the United States, researchers mapped populations of 25 mammal species. They determined that climate, not human activity, was the primary factor in mammals deciding where to live.

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Researchers have found New Zealand's endangered flightless birds are seeking refuge in the locations where six species of moa last lived before going extinct.