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Categories: Mathematics: Modeling, Physics: General

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A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to new research.

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As more and more people drive electric cars, congestion and queues can occur when many people need to charge at the same time. A new study shows how AI-controlled charging stations, through smart algorithms, can offer electric vehicle users personalized prices, and thus minimize both price and waiting time for customers. But the researchers point to the importance of taking the ethical issues seriously, as there is a risk that the artificial intelligence exploits information from motorists.

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A technical achievement marks a significant advance in the burgeoning field of observing individual molecules without the aid of fluorescent labels. While these labels are useful in many applications, they alter molecules in ways that can obscure how they naturally interact with one another. The new label-free method makes the molecules so easy to detect, it is almost as if they had labels.

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A team of researchers have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work.

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Researchers combined computer simulations and transmission electron microscopy experiments to better understand the ordering mobility and formation of microstructure domains in Fe3Al alloy. They were able to correlate structural changes with heat treatment to understand how particular mechanical behavior can be achieved. This is expected to allow the superelastic properties of Fe3Al to harnessed for the 3D printing of construction materials for absorbing seismic activity.

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Lenses are used to bend and focus light. Normal lenses rely on their curved shape to achieve this effect, but physicists have made a flat lens of only three atoms thick which relies on quantum effects. This type of lens could be used in future augmented reality glasses.

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Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction.

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Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials science and more.

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Engineers establish the link between oxygen and graphene quality and present an oxygen-free chemical vapor deposition method (OF-CVD) that can reproducibly create high-quality samples for large-scale production. The graphene they synthesized with their new method proved nearly identical to exfoliated samples and was capable of producing the fractional quantum Hall effect.

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Researchers have developed an assistive machine learning model that greatly improves the ability of medical professionals to read the electroencephalography (EEG) charts of intensive care patients. Because EEG readings are the only method for knowing when unconscious patients are in danger of suffering a seizure or are having seizure-like events, the computational tool could help save thousands of lives each year.

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Researchers have managed to generate propagating spin waves at the nanoscale and discovered a novel pathway to modulate and amplify them. Their discovery could pave the way for the development of dissipation free quantum information technologies. As the spin waves do not involve electric currents these chips will be free from associated losses of energy. The rapidly growing popularity of artificial intelligence comes with an increasing desire for fast and energy efficient computing devices and calls for novel ways to store and process information. The electric currents in conventional devices suffer from losses of energy and subsequent heating of the environment.

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Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step towards markerless tracking of animals in the wild using computer vision and machine learning.

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With generative artificial intelligence (GenAI) transforming the social interaction landscape in recent years, large language models (LLMs), which use deep-learning algorithms to train GenAI platforms to process language, have been put in the spotlight. A recent study found that LLMs perform more like the human brain when being trained in more similar ways as humans process language, which has brought important insights to brain studies and the development of AI models.

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A new model for ballooning instabilities in apple-shaped fusion vessels considers the height and width of the plasma's edge.

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Nuclear physicists have long been working to reveal how the proton gets its spin. Now, a new method that combines experimental data with state-of-the-art calculations has revealed a more detailed picture of spin contributions from the very glue that holds protons together.

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Many of today's quantum devices rely on collections of qubits, also called spins. These quantum bits have only two energy levels, the '0' and the '1'. However, spins in real devices also interact with light and vibrations known as bosons, greatly complicating calculations. Researchers now demonstrate a way to describe spin-boson systems and use this to efficiently configure quantum devices in a desired state.

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Researchers have fabricated a device no wider than a human hair that will help physicists investigate the fundamental nature of matter and light. Their findings could also support the development of more efficient lasers, which are used in fields ranging from medicine to manufacturing.

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Closing in on the theoretical maximum efficiency, devices for turning heat into electricity are edging closer to being practical for use on the grid, according to new research.

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Researchers discovered that sulfur trioxide can form products other than sulfuric acid in the atmosphere by interacting with organic and inorganic acids. These previously uncharacterized acid sulfuric anhydride products are almost certainly key contributors to atmospheric new particle formation and a way to efficiently incorporate carboxylic acids into atmospheric nanoparticles. Better prediction of aerosol formation can help curb air pollution and reduce uncertainties concerning climate change.

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Scientists have made discoveries about light particles known as photons that could aid the quest for fusion energy.