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Categories: Mathematics: Statistics, Offbeat: Computers and Math
Published Turning unused signals such as Wi-Fi into energy for electronics
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We are constantly surrounded by electromagnetic waves such as Wi-Fi. Researchers tested a device to convert this ambient energy into energy for electronic devices.
Published Physicists develop new method to combine conventional internet with the quantum internet
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Researchers send entangled photons and laser pulses of the same color over a single optical fiber for the first time.
Published Modern behavior explains prehistoric economies
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What if the 'Market Economy' always existed? Archaeologists tried to answer this question by researching how much Bronze Age people used to spend to sustain their daily lives. Their results show that, starting at least 3,500 years ago, the spending habits of prehistoric Europeans were not substantially different from what they are today.
Published Bright prospects for engineering quantum light
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Computers benefit greatly from being connected to the internet, so we might ask: What good is a quantum computer without a quantum internet?
Published Super-black wood can improve telescopes, optical devices and consumer goods
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Thanks to an accidental discovery, researchers have created a new super-black material that absorbs almost all light, opening potential applications in fine jewelry, solar cells and precision optical devices.
Published Breaking MAD: Generative AI could break the internet, researchers find
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Researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops.
Published Dark matter: A camera trap for the invisible
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AI-powered image recognition could give researchers a new tool in hunt for dark matter.
Published Shape-shifting 'transformer bots' inspired by origami
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Inspired by the paper-folding art of origami, engineers have discovered a way to make a single plastic cubed structure transform into more than 1,000 configurations using only three active motors.
Published Robotics: Self-powered 'bugs' can skim across water to detect environmental data
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Researchers have developed a self-powered 'bug' that can skim across the water, and they hope it will revolutionize aquatic robotics.
Published When allocating scarce resources with AI, randomization can improve fairness
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Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.
Published Spin qubits go trampolining
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Researchers have developed somersaulting spin qubits for universal quantum logic. This achievement may enable efficient control of large semiconductor qubit arrays. The research group recently published their demonstration of hopping spins and somersaulting spins.
Published Foam fluidics showcase lab's creative approach to circuit design
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Engineers have shown that something as simple as the flow of air through open-cell foam can be used to perform digital computation, analog sensing and combined digital-analog control in soft textile-based wearable systems.
Published Development of 'living robots' needs regulation and public debate
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Researchers are calling for regulation to guide the responsible and ethical development of bio-hybrid robotics -- a ground-breaking science which fuses artificial components with living tissue and cells.
Published Can consciousness exist in a computer simulation?
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A new essay explores which conditions must be met for consciousness to exist. At least one of them can't be found in a computer.
Published Ant insights lead to robot navigation breakthrough
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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.
Published Want to spot a deepfake? Look for the stars in their eyes
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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.
Published Completely stretchy lithium-ion battery for flexible electronics
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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.
Published Enzyme-powered 'snot bots' help deliver drugs in sticky situations
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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.
Published A new neural network makes decisions like a human would
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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.
Published When to trust an AI model
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A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine whether to trust the model when it is deployed in real-world settings.