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Categories: Computer Science: Artificial Intelligence (AI), Energy: Alternative Fuels

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Expensive noble metals often play a vital role in illuminating screens or converting solar energy into fuels. Now, chemists have succeeded in replacing these rare elements with a significantly cheaper metal. In terms of their properties, the new materials are very similar to those used in the past.

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From text-generating ChatGPT to voice-activated Siri, artificial intelligence-powered tools are designed to aid our everyday life -- as long as you speak a language they support. These technologies are out of reach for billions of people who don't use English, French, Spanish or other mainstream languages, but researchers in Africa are looking to change that. Scientists now draw a roadmap to develop better AI-driven tools for African languages.

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Developing new materials requires significant time and labor, but some chemists are now hopeful that artificial intelligence (AI) could one day shoulder much of this burden. In a new study, a team prompted a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature. With that data, they built a second tool, a model to predict experimental results.

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Gold (Au)-based electrocatalysts used for hydrogen production via water electrolysis exhibit high chemical stability but low hydrogen evolution reaction (HER) activity. Alloying them with nickel (Ni) can improve their HER activity. A recent study investigated the HER activity and surface properties of AuNi alloy prepared on single crystal Au surfaces, revealing the atomic structural changes and surface sites responsible for enhanced HER activity of AuNi/Au catalyst during electrolysis.

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New research shows that electrical stimuli passed between neighboring electrodes can also affect non-neighboring electrodes. Known as non-locality, this discovery is a crucial milestone toward creating brain-like computers with minimal energy requirements.

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Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.

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Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught their AI model to reconstruct microscopic images using only random artificial holograms -- synthesized solely from 'imagination' without relying on any real-world experiments, actual sample resemblances or real data.

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As we start to edge out of winter, improving our diet and boosting our exercise start to appear on our agenda. But, when it comes to encouraging a healthier lifestyle, it may surprise you that artificial intelligence could be your best friend.

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The research team at The University of Texas at Austin created a noninvasive electroencephalogram (EEG) sensor that they installed in a Meta VR headset that can be worn comfortably for long periods. The EEG measures the brain's electrical activity during the immersive VR interactions.

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A research team recently developed a stable artificial photocatalytic system that is more efficient than natural photosynthesis. The new system mimics a natural chloroplast to convert carbon dioxide in water into methane, a valuable fuel, very efficiently using light. This is a promising discovery, which could contribute to the goal of carbon neutrality.

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Researchers have found that robots can have a 'U-shaped' effect on profits: causing profit margins to fall at first, before eventually rising again. The researchers studied industry data from the UK and 24 other European countries between 1995 and 2017, and found that at low levels of adoption, robots have a negative effect on profit margins. But at higher levels of adoption, robots can help increase profits.

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Engineers have developed HADAR, or heat-assisted detection and ranging.

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Earth is rapidly warming and scientists are developing a variety of approaches to reduce the effects of climate change. An astronomer has proposed a novel approach -- a solar shield to reduce the amount of sunlight hitting Earth, combined with a tethered, captured asteroid as a counterweight. Engineering studies using this approach could start now to create a workable design that could mitigate climate change within decades.

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The artificial intelligence language model GPT-3 performed as well as college students in solving certain logic problems like those that appear on standardized tests. The researchers who conducted the experiment write that the results prompt the question of whether the technology is mimicking human reasoning or using a new type of cognitive process. Solving that question would require access to the software that underpins GPT-3 and other AI software.

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Engineers have designed a new, shape-shifting display that can fit on a card table and allows users to draw 3D designs and more.

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A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.

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This soft robotic gripper is not only 3D printed in one print, it also doesn't need any electronics to work.

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Researchers are making progress on the design of a solar battery made from an abundant, non-toxic and easily synthesized material composed of 2D carbon nitride.

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Heat load mitigation is critical to extending the lifetime of future fusion device. Researchers have found a way to explain the rotational temperatures measured in three different experimental fusion devices in Japan and the United States. Their model evaluates the surface interactions and electron-proton collisions of hydrogen molecules.

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Researchers have developed an L3 F-TOUCH sensor to enhance tactile capabilities in robots, allowing it to 'feel' objects and adjust its grip accordingly.