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Categories: Mathematics: Modeling, Physics: Quantum Computing

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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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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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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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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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Researchers have engineered string-like resonators capable of vibrating longer at ambient temperature than any previously known solid-state object -- approaching what is currently only achievable near absolute zero temperatures. Their study pushes the edge of nanotechnology and machine learning to make some of the world's most sensitive mechanical sensors.

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Scientists describe a new method to make very thin crystals of the element bismuth -- a process that may aid the manufacturing of cheap flexible electronics an everyday reality.

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Researchers have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to find the appropriate sequence of quantum gates to execute a quantum operation. The study marks a significant step forward in unleashing the full extent of quantum computing.

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Researchers experimentally investigate the impact of introducing high-density calcium on the superconductivity of calcium-intercalated bilayer graphene.

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Large language model-based chatbots can't effectively recognize users' motivation when they are hesitant about making healthy behavior changes, but they can support those who are committed to take action, say researchers.

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Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches.

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Researchers have determined that a protein prediction technology can yield accurate results in the hunt to efficiently find the best possible drug candidates for many conditions.

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Strongly interacting systems play an important role in quantum physics and quantum chemistry. Stochastic methods such as Monte Carlo simulations are a proven method for investigating such systems. However, these methods reach their limits when so-called sign oscillations occur. This problem has now been solved using the new method of wavefunction matching.

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It's one thing to dream up a quantum internet that could send hacker-proof information around the world via photons superimposed in different quantum states. It's quite another to physically show it's possible. That's exactly what physicists have done, using existing Boston-area telecommunication fiber, in a demonstration of the world's longest fiber distance between two quantum memory nodes to date.

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Using interference between two lasers, a research group has created an 'optical conveyor belt' that can move polaritons -- a type of light-matter hybrid particle -- in semiconductor-based microcavities. This work could lead to the development of new devices with applications in areas such as quantum metrology and quantum information.