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Categories: Computer Science: Artificial Intelligence (AI), Paleontology: General

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A research team has developed a liquid metal-based electronic logic device that mimics the intelligent prey-capture mechanism of Venus flytraps. Exhibiting memory and counting properties, the device can intelligently respond to various stimulus sequences without the need for additional electronic components. The intelligent strategies and logic mechanisms in the device provide a fresh perspective on understanding 'intelligence' in nature and offer inspiration for the development of 'embodied intelligence'.

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In a parasitic first, a Baltic amber specimen has revealed that millions of years ago tiny worms known as nematodes were living inside of and feeding on the outer protective layer of pseudoscorpions.

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The identity of a prehistoric marine reptile has finally been revealed after experts discovered that some of its remains actually belonged to fish.

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Geobiologists reported a 550 million-year-old sea sponge that had been missing from the fossil record. The discovery sheds new light on a conundrum that has stumped zoologists and paleontologists for years.

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Have you ever wished you could understand what your dog is trying to say to you? Researchers are exploring the possibilities of AI, developing tools that can identify whether a dog's bark conveys playfulness or aggression.

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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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MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different datasets that enables a robot to learn to perform new tasks in unseen environments.

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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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To overcome issues associated with real-life testing, researchers successfully demonstrated the use of digital twin technology within robot simulation software in assessing a robot's suitability for deployment in simulated built environments.

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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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Cultivating creativity in schools is vital for a future driven by artificial intelligence (AI). But while teachers embrace creativity as an essential 21st century skill, a lack of valid and reliable creativity tests means schools struggle to assess student achievement. Now, a new machine-learning model is providing teachers with access to high-quality, fit-for-purpose creativity tests, that can score assessments in a fraction of the time and a fraction of the cost.

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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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Artificial intelligence (AI) combined with a novel bio-inspired camera achieves 100 times faster detection of pedestrians and obstacles than current automotive cameras. This important step for computer vision and AI and can greatly improve the safety of automotive systems and self-driving cars.

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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.