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Categories: Engineering: Nanotechnology, Mathematics: Modeling

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Large Language Models (LLMs) are entirely controllable through human prompts and lack 'emergent abilities'; that is, the means to form their own insights or conclusions. Increasing model size does not lead LLMs to gain emergent reasoning abilities, meaning they will not develop hazardous abilities and therefore do not pose an existential threat. A new study sheds light on the (until now unexplained) capabilities and shortcomings of LLMs, including the need for carefully engineered prompts to exhibit good performance.

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Nanotubes can serve as biosensors. They change their fluorescence when they bind to certain molecules. Until now, it was unclear why. Researchers have gained new insights into the cause of the fluorescence.

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Researchers have introduced a new advancement in the fight against climate change. Their study showcases a novel method for understanding the mechanisms of carbon dioxide re-utilization leading to fuels and chemicals. This work paves the road for the further optimization of this catalytic process driven by renewable electricity.

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A new artificial intelligence model can predict how different proteins may bind to DNA.

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Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease. Researchers now propose guidelines that outline pitfalls and opportunities for using interpretable machine learning methods to tackle computational biology problems.

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Stirring allows for homogenization and efficient gas exchange -- this fact has been known for decades. Controlling the stirring rate during the nanocluster synthesis is pivotal in achieving nanostructures with well-defined sizes, structures, optical properties, and stability.

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Scientists at three research institutions capture the pulsing motion of atoms in diamond, uncovering the relationship between the diamond's strain and the behavior of the quantum information hosted within.

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Gold does not readily lend itself to being turned into long, thin threads. But researchers have now managed to create gold nanowires and develop soft electrodes that can be connected to the nervous system. The electrodes are soft as nerves, stretchable and electrically conductive, and are projected to last for a long time in the body.

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The production of more than 90 percent of all chemical products we use in our everyday lives relies on catalysts. Catalysts speed up chemical reactions, can reduce the energy required for these processes, and in some cases, reactions would not be possible at all without catalysts. Researchers developed a concept that increases the stability of noble-metal catalysts and requires less noble metal for their production.

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To protect the Amazon and support the wellbeing of its people, its economy needs to shift from environmentally harmful production to a model built around the diversity of indigenous and rural communities, and standing forests.

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With GROVER, a new large language model trained on human DNA, researchers could now attempt to decode the complex information hidden in our genome. GROVER treats human DNA as a text, learning its rules and context to draw functional information about the DNA sequences.

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A team developed a new microscopy technique that uses electrical pulses to track the nanosecond dynamics within a material that is known to form charge density waves. Controlling these waves may lead to faster and more energy-efficient electronics.

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Thermometer, a new calibration technique tailored for large language models, can prevent LLMs from being overconfident or underconfident about their predictions. The technique aims to help users know when a model should be trusted.

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Scientists have hypothesized that moir excitons -- electron-hole pairs confined in moir interference fringes which overlap with slightly offset patterns -- may function as qubits in next-generation nano-semiconductors. However, due to diffraction limits, it has not been possible to focus light enough in measurements, causing optical interference from many moir excitons. To solve this, researchers have developed a new method of reducing these moir excitons to measure the quantum coherence time and realize quantum functionality.

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A new study places the origin of the Imazighen in the Epipaleolithic, more than twenty thousand years ago. The research concludes that the genetic origin of the current Arab population of north Africa is far more recent than previously believed, placing it in the seventh century AD. The team has designed an innovative demographic model that uses artificial intelligence to analyze the complete genomes of the two populations.

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A new 3D printing method developed by engineers is so simple that it uses a polymer ink and salt water solution to create solid structures. The work has the potential to make materials manufacturing more sustainable and environmentally friendly.

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Scientists have made significant strides in understanding the properties of a ferroelectric material under an electric field. This breakthrough holds potential for advances in computer memory, lasers and sensors for ultraprecise measurements.

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Clean energy investments offer potential stability and growth, especially during volatile market conditions. A recent study explored the relationship between clean energy markets and global stock markets. Significant spillovers were observed from major indices like the SP500 to markets such as Japan's Nikkei225 and Global Clean Energy Index. These interactions suggest opportunities for optimizing investment portfolios and leveraging clean energy assets as hedging tools in volatile market environments.

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A new study focuses on how a particular Kagome metal interacts with light to generate what are known as plasmon polaritons -- nanoscale-level linked waves of electrons and electromagnetic fields in a material, typically caused by light or other electromagnetic waves.

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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.