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Categories: Mathematics: Modeling, Physics: General

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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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Behavioral analysis can provide a lot of information about the health status or motivations of a living being. A new technology makes it possible for a single deep learning model to detect animal motion across many species and environments. This 'foundational model', called SuperAnimal, can be used for animal conservation, biomedicine, and neuroscience research.

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Researchers have discovered that by shining different wavelengths (colors) of light on a material called magnetite, they can change its state, e.g. making it more or less conducive to electricity. The discovery could lead to new ways of designing new materials for electronics such as memory storage, sensors, and other devices that rely on fast and efficient material responses.

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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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The international collaboration presented their first results with new data in four years, featuring a new low-energy sample of electron neutrinos and a dataset doubled in size.

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The potential of quantum computers is currently thwarted by a trade-off problem. Quantum systems that can carry out complex operations are less tolerant to errors and noise, while systems that are more protected against noise are harder and slower to compute with. Now a research team has created a unique system that combats the dilemma, thus paving the way for longer computation time and more robust quantum computers.

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Shooting a movie in the lab requires special equipment. Especially when the actors are molecules -- invisible to the naked eye -- reacting with each other. 'Imagine trying to film tiny lava flows during a volcanic eruption. Your smartphone camera wouldn't be up to the job.

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Scientists have proposed a new AI method in which systems of habitual and goal-directed behaviors learn to help each other. Through computer simulations that mimicked the exploration of a maze, the method quickly adapts to changing environments and also reproduced the behavior of humans and animals after they had been accustomed to a certain environment for a long time. The study not only paves the way for the development of systems that adapt quickly and reliably in the burgeoning field of AI, but also provides clues to how we make decisions in the fields of neuroscience and psychology.

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Researchers have developed innovative, eco-friendly quantum materials that can drive the transformation of methanol into ethylene glycol. This discovery opens up new possibilities for using eco-friendly materials in photocatalysis, paving the way for sustainable chemical production.

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Researchers used theoretical calculations assessing electron orbital symmetry to synthesize new molecule designed to be both transparent and colorless while absorbing near-infrared light. This compound demonstrates the first systematic approach to producing such materials and have applications in advanced electronics. This compound also shows semiconducting properties.

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An international research team has succeeded in developing a new type of material in the rather young research field of covalent organic frameworks. The new two-dimensional polymer is characterized by the fact that its properties can be controlled in a targeted and reversible manner. This has brought the researchers a step closer to the goal of realizing switchable quantum states.

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Researchers carried out a pioneering experiment where they measured the effect of the rotation of Earth on quantum entangled photons. The work represents a significant achievement that pushes the boundaries of rotation sensitivity in entanglement-based sensors, potentially setting the stage for further exploration at the intersection between quantum mechanics and general relativity.

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A technique can plan a trajectory for a robot using only language-based inputs. While it can't outperform vision-based approaches, it could be useful in settings that lack visual data to use for training.

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Spontaneous parametric down-conversion (SPDC), as a source of entangled photons, is of great interest for quantum physics and quantum technology, but so far it could be only implemented in solids. Researchers have demonstrated, for the first time, SPDC in a liquid crystal. The results open a path to a new generation of quantum sources: efficient and electric-field tunable.

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Scientists address decades-long problem in the field of single-molecule fluorescence resonance energy transfer, paving the way for more accurate experiments.

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Researchers have experimentally generated high-density relativistic electron-positron pair-plasma beams by producing two to three orders of magnitude more pairs than previously reported.

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Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant computational resources. To address this, researchers developed a novel method to solve data assimilation on quantum computers, significantly reducing the computation time. The findings of the study have the potential to advance NWP systems and will inspire practical applications of quantum computers for advancing data assimilation.

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A team has developed printable, highly efficient light-emitting metasurfaces.

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To understand the unique physical phenomena associated with the properties of magnetic hedgehogs and antihedgehogs, which behave as virtual magnetic monopoles and antimonopoles respectively, it is essential to study their intrinsic excitations. In a new study, researchers revealed the dynamical nature of collective excitation modes in hedgehog lattices in itinerant chiral magnets. Their findings serve as the foundation for studying the dynamics of emergent magnetic monopoles in magnets.

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The exhaust heat generated by a fusing plasma in a commercial-scale reactor may not be as damaging to the vessel's innards as once thought, according to new research about escaping plasma particles.