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Categories: Environmental: Biodiversity, Mathematics: Modeling
Published Research finds improving AI large language models helps better align with human brain activity



With generative artificial intelligence (GenAI) transforming the social interaction landscape in recent years, large language models (LLMs), which use deep-learning algorithms to train GenAI platforms to process language, have been put in the spotlight. A recent study found that LLMs perform more like the human brain when being trained in more similar ways as humans process language, which has brought important insights to brain studies and the development of AI models.
Published Global activity of seafloor biodiversity mapped



A team of scientists has used artificial intelligence (AI) to map the activities of seafloor invertebrate animals, such as worms, clams and shrimps, across all the oceans of the world.
Published Conservation of nature's strongholds needed to halt biodiversity loss



To achieve global biodiversity targets, conservationists and governments must prioritize the establishment and effective management of large, interconnected protected areas with high ecological integrity, researchers argue in a new essay.
Published Regional differences in bird diversity in agroforestry systems



The diversity and ecological functionality of bird communities in tropical agroforestry systems are shaped by the surrounding landscape, in particular the extent and composition of the forest.
Published Improving statistical methods to protect wildlife populations



In human populations, it is relatively easy to calculate demographic trends and make projections of the future if data on basic processes such as births and immigration is known. The data, given by individuals, can be also death and emigration, which subtract. In the wild, on the other hand, understanding the processes that determine wildlife demographic patterns is a highly complex challenge for the scientific community. Although a wide range of methods are now available to estimate births and deaths in wildlife, quantifying emigration and immigration has historically been difficult or impossible in many populations of interest, particularly in the case of threatened species.
Published How AI helps programming a quantum computer



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.
Published The impacts of climate change on food production



A new study shows that climate change has led to decreased pollen production from plants and less pollen diversity than previously thought, which could have a significant impact on food production.
Published Cloudy waters causes African fish to develop bigger eyes



Variations in water quality can impact the development of the visual system of one species of African fish, suggests a new study.
Published Scale matters in determining vulnerability of freshwater fish to climate changes



A team explored the influence the spatial extent of research -- the geographical coverage of data collected -- has on evaluating the sensitivity of different fish species to climate change.
Published Differing values of nature can still lead to joined up goals for sustainability



Recognizing and respecting the different ways nature is valued can enable better environmental decision-making, according to new research.
Published Large language models can't effectively recognize users' motivation, but can support behavior change for those ready to act



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.
Published Scientists use generative AI to answer complex questions in physics



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.
Published Researchers wrestle with accuracy of AI technology used to create new drug candidates



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.
Published Wavefunction matching for solving quantum many-body problems



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.
Published Bees and butterflies on the decline in western and southern North America



Bee and butterfly populations are in decline in major regions of North America due to ongoing environmental change, and significant gaps in pollinator research limit our ability to protect these species, according to a new study.
Published Climate change is most prominent threat to pollinators



A new article has found that climate change is the most prominent threat to pollinators -- such as bumblebees, wasps, and butterflies -- who are essential for biodiversity conservation, crop yields and food security. The research suggests that many of the threats to pollinators result from human activities.
Published Mosaic grassland landscapes are the most beneficial



Grassland provides many services for humans, animals and nature, such as feed production, carbon storage and recreation. Researchers spent two years investigating permanent grassland, its utilization, soils and plant communities in order to quantify the resulting ecosystem services. Grassland performs best when different types of use such as meadows, pastures and unfertilized extensive grassland exist together in a mosaic landscape.
Published Century of statistical ecology reviewed



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.
Published New work extends the thermodynamic theory of computation



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.
Published Island birds more adaptable than previously thought



The researchers found that birds were more evolutionarily similar on smaller, more isolated islands than on larger, less remote places. The team had expected to find that forested areas had more numerous and more varied species of birds compared to farmland areas. But they were surprised to find that the opposite was true: Areas with farms and human settlements had more species of birds and greater diversity than forested areas.