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Categories: Geoscience: Earthquakes, Offbeat: Computers and Math

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Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots. Drone-researchers felt inspired by biological findings on how ants visually recognize their environment and combine it with counting their steps in order to get safely back home. They have used these insights to create an insect-inspired autonomous navigation strategy for tiny, lightweight robots. It allows such robots to come back home after long trajectories, while requiring extremely little computation and memory (0.65 kiloByte per 100 m). In the future, tiny autonomous robots could find a wide range of uses, from monitoring stock in warehouses to finding gas leaks in industrial sites.

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In an era when the creation of artificial intelligence (AI) images is at the fingertips of the masses, the ability to detect fake pictures -- particularly deepfakes of people -- is becoming increasingly important. So what if you could tell just by looking into someone's eyes? That's the compelling finding of new research which suggests that AI-generated fakes can be spotted by analyzing human eyes in the same way that astronomers study pictures of galaxies.

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When you think of a battery, you probably don't think stretchy. But batteries will need this shape-shifting quality to be incorporated into flexible electronics, which are gaining traction for wearable health monitors. Now, researchers report a lithium-ion battery with entirely stretchable components, including an electrolyte layer that can expand by 5000%, and it retains its charge storage capacity after nearly 70 charge/discharge cycles.

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Snot might not be the first place you'd expect nanobots to be swimming around. But this slimy secretion exists in more places than just your nose and piles of dirty tissues -- it also lines and helps protect the lungs, stomach, intestines and eyes. And now, researchers have demonstrated in mice that their tiny, enzyme-powered 'snot bots' can push through the defensive, sticky layer and potentially deliver drugs more efficiently.

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Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable, according to the researchers.

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Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. In a new paper, the researchers have demonstrated a method much simpler than previous approaches.

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Engineers have trained a humanoid robot to perform a variety of expressive movements, from simple dance routines to gestures like waving, high-fiving and hugging, all while maintaining a steady gait on diverse terrains. This work marks a step towards building robots that perform more complex and human-like motions.

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Engineers have developed a new soft, flexible device that makes robots move by expanding and contracting -- just like a human muscle. To demonstrate their new device, called an actuator, the researchers used it to create a cylindrical, worm-like soft robot and an artificial bicep. In experiments, the cylindrical soft robot navigated the tight, hairpin curves of a narrow pipe-like environment, and the bicep was able to lift a 500-gram weight 5,000 times in a row without failing.

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Computer scientists have invented a camera mechanism that improves how robots see and react to the world around them. Inspired by how the human eye works, their innovative camera system mimics the tiny involuntary movements used by the eye to maintain clear and stable vision over time.

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Researchers have sent data at a record rate of 402 terabits per second using commercially available optical fiber. This beats their previous record, announced in March 2024, of 301 terabits or 301,000,000 megabits per second using a single, standard optical fiber.

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A team of researchers has developed a soft, stretchy electronic device capable of simulating the feeling of pressure or vibration when worn on the skin. This device represents a step towards creating haptic technologies that can reproduce a more varied and realistic range of touch sensations for applications such as virtual reality, medical prosthetics and wearable technology.

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Engineers have developed a pill that releases microscopic robots, or microrobots, into the colon to treat inflammatory bowel disease (IBD). The experimental treatment, given orally, has shown success in mice. It significantly reduced IBD symptoms and promoted the healing of damaged colon tissue without causing toxic side effects.

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Researchers have developed a kirigami-inspired mechanical computer that uses a complex structure of rigid, interconnected polymer cubes to store, retrieve and erase data without relying on electronic components. The system also includes a reversible feature that allows users to control when data editing is permitted and when data should be locked in place.

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Scientists predict from geochemical data that Iceland is entering a new volcanic era that will last for decades, possibly centuries. Under an hour's drive from the country's capital city, the ongoing eruptions pose considerable risks for economic disruption, and they leave evacuated communities uncertain of a possible return.

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Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one domain where human brains continue to dominate: energy efficiency.

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Researchers have found a way to bind engineered skin tissue to the complex forms of humanoid robots. This brings with it potential benefits to robotic platforms such as increased mobility, self-healing abilities, embedded sensing capabilities and an increasingly lifelike appearance. Taking inspiration from human skin ligaments, the team included special perforations in a robot face, which helped a layer of skin take hold.

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Meet CARMEN, short for Cognitively Assistive Robot for Motivation and Neurorehabilitation -- a small, tabletop robot designed to help people with mild cognitive impairment (MCI) learn skills to improve memory, attention, and executive functioning at home.

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Meet SQUID, a new computational tool. Compared with other genomic AI models, SQUID is more consistent, reduces background noise, and can yield better predictions regarding critical mutations. The new system aims to bring scientists closer to their findings' true medical implications.

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Scientists have developed a new, more energy-efficient way for AI algorithms to process data. His model may become the basis for a new generation of AI that learns like we do. Notably, these findings may also lend support to neuroscience theories surrounding memory's role in learning.

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A new technique can model an entire 3D scene, including areas hidden from view, from just one camera image. The method relies on image shadows, which provide information about the geometry and location of hidden objects.