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Categories: Computer Science: General, Space: Cosmology

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New theoretical research has shown that Stephen Hawking was likely right about black holes, although not completely. Due to Hawking radiation, black holes will eventually evaporate, but the event horizon is not as crucial as had been believed. Gravity and the curvature of spacetime cause this radiation too. This means that all large objects in the universe, like the remnants of stars, will eventually evaporate.

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Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images -- however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT's ability to identify, classify and segment objects in images.

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Researchers have discovered they can detect atomic 'breathing,' or the mechanical vibration between two layers of atoms, by observing the type of light those atoms emitted when stimulated by a laser. The sound of this atomic 'breath' could help researchers encode and transmit quantum information.

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As we move into a world where human-machine interactions are becoming more prominent, pressure sensors that are able to analyze and simulate human touch are likely to grow in demand.

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After the Big Bang, the universe expanded and cooled sufficiently for hydrogen atoms to form. In the absence of light from the first stars and galaxies, the universe entered a period known as the cosmic dark ages. The first stars and galaxies appeared several hundred million years later and began burning away the hydrogen fog left over from the Big Bang, rendering the universe transparent, like it is today. Researchers have now confirmed the existence of a distant, faint galaxy typical of those whose light burned through the hydrogen atoms; the finding should help them understand how the cosmic dark ages ended.

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Self-driving cars fall short when it comes to understanding the social codes in traffic that let human drivers decide whether to give way or drive on, according to new research.

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An artificial intelligence computer program that processes magnetic resonance imaging (MRI) can accurately identify changes in brain structure that result from repeated head injury, a new study in student athletes shows. These variations have not been captured by other traditional medical images such as computerized tomography (CT) scans. The new technology, researchers say, may help design new diagnostic tools to better understand subtle brain injuries that accumulate over time.

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Researchers show how their multilegged walking robot can be steered by inducing a dynamic instability. By making the couplings between segments more flexible, the robot changes from walking straight to moving in a curved path. This work can lead to more energy-efficient and reliable robotic navigation of terrain.

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Engineers have developed a simple 3D-printed attachment that clips over a smartphone's camera and flash to measure blood pressure at the user's fingertip. The clip works with a custom smartphone app and currently costs about 80 cents to make. Researchers say it could help make regular blood pressure monitoring easy, affordable and accessible to people in resource-poor communities.

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Black hole jets are known to emit x-rays, but how they accelerate particles to this high-energy state is still a mystery. Surprising new findings appear to rule out a leading theory, opening the door to reimagining how particle acceleration works. One model of how jets generate x-rays expects the jets' x-ray emissions to remain stable over long time scales. However, the new paper found that the x-ray emissions of a statistically significant number of jets varied over just a few years.

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Cage structures made with nanoparticles could be a route toward making organized nanostructures with mixed materials, and researchers have shown how to achieve this through computer simulations.

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The latest observations from Low Earth Orbit with the International Space Station provide further evidence of spectral hardening and softening of cosmic ray particles.

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Scientists have developed a nanodevice that can measure the absolute power of microwave radiation down to the femtowatt level at ultra-low temperatures -- a scale trillion times lower than routinely used in verifiable power measurements. The device has the potential to significantly advance microwave measurements in quantum technology.

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Researchers have made a breakthrough toward reducing the energy consumption of the photonic chips used in data centers and supercomputers.

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Scientists are working to understand how cryptocurrency mining impacts the power grid and how to use this information for further research, education and policymaking.

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Biologists have used machine learning, a type of AI, to identify 'synthetic extreme' DNA sequences with specifically designed functions in gene activation. They tested 50 million DNA sequences and found synthetic DNA sequences with activities that could be useful in biotechnology and medicine.

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Researchers have observed the X-ray emission of the most luminous quasar seen in the last 9 billion years of cosmic history, known as SMSS J114447.77-430859.3, or J1144 for short. The new perspective sheds light on the inner workings of quasars and how they interact with their environment.

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The number of qubits in superconducting quantum computers has risen rapidly during the last years, but further growth is limited by the need for ultra-cold operating temperatures. Connecting several smaller processors could create larger, more computationally powerful quantum computers -- however doing so poses new challenges. Researchers have now demonstrated quantum entanglement between optical and microwave photons that could lay the foundation for such a future quantum network.

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A new paper on wireless connectivity introduces a new technique for increasing access to the 5G-and-beyond millimeter wave (mmWave) network.

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Computer scientists and oceanographers developed a machine-learning model that generates more accurate predictions about the velocities of ocean currents. The model could help make more precise weather forecasts or effectively predict how oil will spread after a spill.