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Categories: Computer Science: General, Engineering: Nanotechnology

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     (via sciencedaily.com)     Original source 

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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MRI scans are commonly used to diagnose a variety of conditions, anything from liver disease to brain tumors. But, as anyone who has been through one knows, patients must remain completely still to avoid blurring the images and requiring a new scan. A prototype device could change that. The self-powered sensor detects movement and shuts down an MRI scan in real time, improving the process for patients and technicians.

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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 probed the transit of cations across a nanopore membrane for the generation of osmotic energy. The team controlled the passage of cations across the membrane using a voltage applied to a gate electrode. This control allowed the cation-selective transport to be tuned from essentially zero to complete cation selectivity. The findings are expected to support the application of blue energy solutions for sustainable energy alternatives worldwide.

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Image privacy could be protected with the use of generative artificial intelligence. Researchers created a system which replaces parts of images that might threaten confidentiality with visually similar but AI-generated alternatives. Named 'generative content replacement,' in tests, 60% of viewers couldn't tell which images had been altered. The researchers intend for this system to provide a more visually cohesive option for image censoring, which helps to preserve the narrative of the image while protecting privacy.

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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 demonstrated a scalable, modular hardware platform that integrates thousands of interconnected qubits onto a customized integrated circuit. This 'quantum-system-on-chip' (QSoC) architecture enables them to precisely tune and control a dense array of qubits.

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Artificial intelligence (AI) combined with a novel bio-inspired camera achieves 100 times faster detection of pedestrians and obstacles than current automotive cameras. This important step for computer vision and AI and can greatly improve the safety of automotive systems and self-driving cars.

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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 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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Engineers have developed an artificial intelligence system that lets someone wearing headphones look at a person speaking for three to five seconds to 'enroll' them. The system then plays just the enrolled speaker's voice in real time, even as the pair move around in noisy environments.

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Researchers have outlined a way to manipulate water molecules to make CO2R more efficient, with the ultimate goal of creating a clean energy loop. Through their new method, the team was able to perform CO2R with nearly 100% efficiency under mildly acidic conditions, using either gold or zinc as catalysts.

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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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Engineers have developed a wearable ultrasound patch that can offer continuous, non-invasive monitoring of blood flow in the brain. The soft and stretchy patch can be comfortably worn on the temple to provide three-dimensional data on cerebral blood flow--a first in wearable technology.

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Scientists have discovered that when metal is struck by an object moving at a super high velocity, the heat makes the metal stronger. The finding could lead to new approaches to designing materials for extreme environments, such as shields that protect spacecraft or equipment for high-speed 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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Scientists report a family of tin-based catalysts that efficiently converts CO2 into ethanol, acetic acid and formic acid. These liquid hydrocarbons are among the most produced chemicals in the U.S and are found in many commercial products.

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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.