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Categories: Mathematics: Modeling, Paleontology: General

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Researchers have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology. In the future, the model can help the computer to adapt its own behavior and guide an irritated or anxious user in different ways. The implications of such technology are profound, offering a glimpse into a future where computers are not merely tools, but empathetic partners in user interaction.

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A team of palaeontologists has discovered a fossil of a gigantic flying reptile from the Jurassic period with an estimated wingspan of more than three metres -- making it one of the largest pterosaurs ever found from that era.

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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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The sharks we know today as the open ocean's top predators evolved from stubby bottom dwellers during a dramatic episode of global warming millions of years ago.

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One of Earth's most consequential bursts of biodiversity -- a 30-million-year period of explosive evolutionary changes spawning innumerable new species -- may have the most modest of creatures to thank for the vital stage in life's history: worms.

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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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This fossil looks like a lumpy, rounded rock with a couple of exposed teeth that are a little worse for wear, having been submerged and tumbled along the floor of the Gulf of Mexico for thousands of years before washing up on a beach. But when it was X-rayed a doctoral student saw there was more to the fossil that met the eye: a hidden canine tooth that had not yet erupted from the jaw bone. It was just what researchers needed to identify the fossil as belonging to a Homotherium, a genus of large cat that roamed much of the Earth for millions of years.

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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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A large fossil discovery has helped shed light on the history of dinosaurs in Wales.

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Fossils found on the shoreline of Lake Kariba in Zimbabwe represent a completely new dinosaur species. This remarkable find, named Musankwa sanyatiensis, marks only the fourth dinosaur species named from Zimbabwe.

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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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Using ancient DNA extracted from the toe bone of a museum specimen, biologists have sequenced the genome of an extinct, flightless bird called the little bush moa, shedding light into an unknown corner of avian genetic history. The work is the first complete genetic map of the turkey-sized bird whose distant living cousins include the ostrich, emu, and kiwi.

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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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An exceptionally rare fossilized porcupine skeleton discovered in Florida has allowed researchers to trace the evolutionary history for one of North America's rarest mammals.

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Thousands of years ago, early hunter-gatherers returned regularly to Tagua Tagua Lake in Chile to hunt ancient elephants and take advantage of other local resources, according to a new study.

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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.