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Categories: Computer Science: General, Space: Cosmology

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A new AI technique enables a robot to develop complex plans for manipulating an object using its entire hand, not just fingertips. This model can generate effective plans in about a minute using a standard laptop.

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In the form of DNA, nature shows how data can be stored in a space-saving and long-term manner. Bioinformatics specialists are developing DNA chips for computer technology. Researchers show how a combination of molecular biology, nanotechnology, novel polymers, electronics and automation, coupled with systematic development, could make DNA data storage useful for everyday use possible in a few years.

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A researcher made a discovery that could change our understanding of the universe. He reveals that there is a range in which fundamental constants can vary, allowing for the viscosity needed for life processes to occur within and between living cells. This is an important piece of the puzzle in determining where these constants come from and how they impact life as we know it.

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Researchers have designed a new type of quantum computer that uses fermionic atoms to simulate complex physical systems. The processor uses programmable neutral atom arrays and is capable of simulating fermionic models in a hardware-efficient manner using fermionic gates. The team demonstrated how the new quantum processor can efficiently simulate fermionic models from quantum chemistry and particle physics.

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Researchers have developed a brain-computer interface (BCI) that has enabled a woman with severe paralysis from a brainstem stroke to speak through a digital avatar.

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Which structures do complex proteins adopt in solution? Biophysicists answer this question using the example of ubiquitin dimers as well as a new combination of high-resolution NMR spectroscopy and sophisticated computer simulations.

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Researchers have developed a platform that uses artificial neural networks to translate chemical structural formulae into machine-readable form. With this platform, they have created a tool with which this information from scientific publications can be automatically fed into databases. Until now, this had to be done literally by hand and was time-consuming.

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New research has improved the accuracy of the parameters governing the expansion of the Universe. More accurate parameters will help astronomers determine how the Universe grew to its current state, and how it will evolve in the future.

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Quantum physicists have successfully simulated super diffusion in a system of interacting quantum particles on a quantum computer. This is the first step in doing highly challenging quantum transport calculations on quantum hardware and, as the hardware improves over time, such work promises to shed new light in condensed matter physics and materials science.

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Magnetars are the strongest magnets in the Universe. These super-dense dead stars with ultra-strong magnetic fields can be found all over our galaxy but astronomers don't know exactly how they form. Now, using multiple telescopes around the world, researchers have uncovered a living star that is likely to become a magnetar. This finding marks the discovery of a new type of astronomical object -- massive magnetic helium stars -- and sheds light on the origin of magnetars.

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Research is underway around the world to find alternatives to our current electronic computing technology, as great, electron-based systems have limitations. A new way of transmitting information is emerging from the field of magnonics: instead of electron exchange, the waves generated in magnetic media could be used for transmission, but magnonics-based computing has been (too) slow to date. Scientists have now discovered a significant new method: When the intensity is increased, the spin waves become shorter and faster -- another step towards magnon computing.

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In a new study, researchers have taken an important step toward understanding how exploding stars can help reveal how neutrinos, mysterious subatomic particles, secretly interact with themselves.

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Graphene nanoribbons have outstanding properties that can be precisely controlled. Researchers have succeeded in attaching electrodes to individual atomically precise nanoribbons, paving the way for precise characterization of the fascinating ribbons and their possible use in quantum technology.

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Scientists have made a significant advance in developing alternative materials for the high-speed memory chips that let computers access information quickly and that bypass the limitations of existing materials. They have discovered a way that allows them to make sense of previously hard-to-read data stored in these alternative materials, known as antiferromagnets.

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From text-generating ChatGPT to voice-activated Siri, artificial intelligence-powered tools are designed to aid our everyday life -- as long as you speak a language they support. These technologies are out of reach for billions of people who don't use English, French, Spanish or other mainstream languages, but researchers in Africa are looking to change that. Scientists now draw a roadmap to develop better AI-driven tools for African languages.

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Researchers introduce a new tool to measure bias in text-to-image AI generation models, which they have used to quantify bias in the state-of-the-art model Stable Diffusion.

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NASA's James Webb Space Telescope has followed up on observations by the Hubble Space Telescope of the farthest star ever detected in the very distant universe, within the first billion years after the big bang. Webb's NIRCam (Near-Infrared Camera) instrument reveals the star to be a massive B-type star more than twice as hot as our Sun, and about a million times more luminous.

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New research shows that electrical stimuli passed between neighboring electrodes can also affect non-neighboring electrodes. Known as non-locality, this discovery is a crucial milestone toward creating brain-like computers with minimal energy requirements.

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Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught their AI model to reconstruct microscopic images using only random artificial holograms -- synthesized solely from 'imagination' without relying on any real-world experiments, actual sample resemblances or real data.

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The success of artificial intelligence technologies depends largely on how physicians interpret and act upon a tool's risk predictions -- and that requires a unique set of skills that many are currently lacking, according to a new perspective article.