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Categories: Biology: Botany, Mathematics: Modeling

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Biological processes depend on puzzle pieces coming together and interacting. Under specific conditions, these interactions can create something new without external input. This is called self-organization, as seen in a school of fish or a flock of birds. Interestingly, the mammalian embryo develops similarly. Scientists now introduce a mathematical framework that analyzes self-organization from a single cell to a multicellular organism.

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A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to new research.

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As more and more people drive electric cars, congestion and queues can occur when many people need to charge at the same time. A new study shows how AI-controlled charging stations, through smart algorithms, can offer electric vehicle users personalized prices, and thus minimize both price and waiting time for customers. But the researchers point to the importance of taking the ethical issues seriously, as there is a risk that the artificial intelligence exploits information from motorists.

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A team of researchers have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work.

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Plants and the animals that eat them have evolved together in fascinating ways, creating a dynamic interplay of survival strategies. Many plants have developed physical and chemical defenses to fend off herbivores. A well-known strategy in flowering plants is to produce nectar to attract 'ant bodyguards.' Recent research explores the evolution of this same defense strategy in ferns.

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Research work on symbiosis -- a mutually beneficial relationship between living organisms -- is pushing back against the newer theory of a 'single-origin' of root nodule symbiosis (RNS) -- that all symbiosis between plant root nodules and nitrogen-fixing bacteria stems from one point--instead suggesting a 'multiple-origin' theory of sybiosis which opens a better understanding for genetically engineering crops.

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Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction.

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Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials science and more.

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Researchers have developed an assistive machine learning model that greatly improves the ability of medical professionals to read the electroencephalography (EEG) charts of intensive care patients. Because EEG readings are the only method for knowing when unconscious patients are in danger of suffering a seizure or are having seizure-like events, the computational tool could help save thousands of lives each year.

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Researchers involved in cataloguing the world's plant species are hunting for answers as to what makes some groups of plants so successful. One of their major goals is to predict more accurately which lineages of flowering plants -- some of which are of huge importance to people and to ecosystems -- are at a greater risk from global climate change.

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Orchid plants nurture their seedlings via an underground fungal network, new research has revealed.

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A widely found gene in plants has been newly identified as a key transporter of a hormone that influences the size of corn. The discovery offers plant breeders a new tool to develop desirable dwarf varieties that could enhance the crop's resilience and profitability.

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Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step towards markerless tracking of animals in the wild using computer vision and machine learning.

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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.

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Plant hydraulics drive the biological process that moves fluids from roots to plant stems and leaves, creating streaming electric potential, or voltage, in the process. A study closely examined the differences in voltage caused by the concentrations of ions, types of ions, and pH of the fluid plants transport, tying the voltage changes to the plant's circadian rhythm that causes adjustments day and night. According to the authors, this consistent, cyclic voltage creation could be harnessed as an energy source.

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Maize is one of the world's most widely grown crops and is essential to global food security. But like other plants, its growth and productivity can be limited by the slow activity of Rubisco, the enzyme responsible for carbon assimilation during photosynthesis. Scientists have now demonstrated a promising approach to enhancing Rubisco production, thus improving photosynthesis and overall plant growth.

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In an interdisciplinary study, researchers discovered that symbiotic bacteria communicate with legume plants through specific molecules and that this communication influences which bacteria grow near the plant roots. The findings provide insights into how plants and soil bacteria form beneficial partnerships for nutrient uptake and resilience. These results are a step towards understanding how communication between plants and soil bacteria can lead to specific beneficial associations providing plants with nutrients.

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A new study found evidence that Indigenous groups in the Pacific Northwest were intentionally harvesting edible camas bulbs at optimal stages of the plant's maturation as far back as 3,500 years ago.

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Researchers have used a unique microscopic technique to examine the dynamics of pollen tubes in the Arabidopsis plant. They were able to observe the mechanism of one-to-one pollen tube guidance, a process that ensures successful pollination of plants. This process is influenced by multi-step repelling and attracting signals. The results are important for the cultivation of crops, especially under unfavorable environmental conditions.

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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.