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Categories: Ecology: Research, Mathematics: Modeling
Published Researchers develop AI model that predicts the accuracy of protein--DNA binding
(via sciencedaily.com) Original source A new artificial intelligence model can predict how different proteins may bind to DNA.
Published Researchers outline promises, challenges of understanding AI for biological discovery
(via sciencedaily.com) Original source 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.
Published A new way of thinking about the economy could help protect the Amazon, and help its people thrive
(via sciencedaily.com) Original source 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.
Published Cracking the code of life: new AI model learns DNA's hidden language
(via sciencedaily.com) Original source 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.
Published Combined effects of plastic pollution and seawater flooding amplify threats to coastal plant species
(via sciencedaily.com) Original source 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.
Published Method prevents an AI model from being overconfident about wrong answers
(via sciencedaily.com) Original source 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.
Published Demographics of north African human populations unravelled using genomic data and artificial intelligence
(via sciencedaily.com) Original source 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.
Published Mass extinction 66 million years ago triggered rapid evolution of bird genomes
(via sciencedaily.com) Original source Study finds that the mass extinction caused by an asteroid about 66 million years ago led to critical changes in bird genomes that ultimately sparked the incredibly diversity living birds.
Published Researchers explore the potential of clean energy markets as a hedging tool
(via sciencedaily.com) Original source 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.
Published Breaking MAD: Generative AI could break the internet, researchers find
(via sciencedaily.com) Original source Researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops.
Published When allocating scarce resources with AI, randomization can improve fairness
(via sciencedaily.com) Original source 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.
Published New Zealand's flightless birds are retreating to moa refuges
(via sciencedaily.com) Original source 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.
Published Raindrops grow with turbulence in clouds
(via sciencedaily.com) Original source 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.
Published Can a computer tell patients how their multiple sclerosis will progress?
(via sciencedaily.com) Original source Machine learning models can reliably inform clinicians about the disability progression of multiple sclerosis, according to a new study published this week in the open-access journal PLOS Digital Health by Edward De Brouwer of KU Leuven, Belgium, and colleagues.
Published The ocean is becoming too loud for oysters, research finds
(via sciencedaily.com) Original source Baby oysters rely on natural acoustic cues to settle in specific environments, but new research reveals that noise from human activity is interfering with this critical process.
Published Large language models don't behave like people, even though we may expect them to
(via sciencedaily.com) Original source People generalize to form beliefs about a large language model's performance based on what they've seen from past interactions. When an LLM is misaligned with a person's beliefs, even an extremely capable model may fail unexpectedly when deployed in a real-world situation.
Published Butterflies accumulate enough static electricity to attract pollen without contact
(via sciencedaily.com) Original source Butterflies and moths collect so much static electricity whilst in flight, that pollen grains from flowers can be pulled by static electricity across air gaps of several millimeters or centimeters.
Published Risks and benefits of integrating AI into medical decision-making
(via sciencedaily.com) Original source Researchers found that an artificial intelligence (AI) model solved medical quiz questions -- designed to test health professionals' ability to diagnose patients based on clinical images and a brief text summary -- with high accuracy. However, physician-graders found the AI model made mistakes when describing images and explaining how its decision-making led to the correct answer.
Published Tropical plant species are as threatened by climate change as widely feared, study confirms
(via sciencedaily.com) Original source Biologists who set out to better understand the effects of climate change on plant species in tropical mountain regions found that even small variations in temperature and moisture can have massive impacts, threatening not only plants that live there, but also the ecosystems they support. A study based on labor-intensive fieldwork and analysis in tropical mountain regions shows that a warmer and drier climate will lead to massive losses of plant species.
Published There is mathematical proof in the pudding
(via sciencedaily.com) Original source In blockchain development, there is a rule of thumb that only two of scalability, security, and decentralization are valid simultaneously. However, the mathematical expression of that rule was still a work in progress. Researchers discovered a mathematical expression for the blockchain trilemma. In the formula for Proof of Work-based blockchains, including Bitcoin, the product of the three terms--scalability, security, and decentralization--is 1.