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Categories: Chemistry: Thermodynamics, Computer Science: Artificial Intelligence (AI)

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Engineers aim to give robots a bit of common sense when faced with situations that push them off their trained path, so they can self-correct after missteps and carry on with their chores. The team's method connects robot motion data with the common sense knowledge of large language models, or LLMs.

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A real-world study has shown that the use of cool paint coatings in cities can help pedestrians feel up to 1.5 degrees Celsius cooler, making the urban area more comfortable for work and play.

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A research team has developed a technique that enables the nanoscale observation of heat propagation paths and behavior within material specimens. This was achieved using a scanning transmission electron microscope (STEM) capable of emitting a pulsed electron beam and a nanosized thermocouple -- a high-precision temperature measurement device.

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Artificial intelligence can spot COVID-19 in lung ultrasound images much like facial recognition software can spot a face in a crowd, new research shows. The findings boost AI-driven medical diagnostics and bring health care professionals closer to being able to quickly diagnose patients with COVID-19 and other pulmonary diseases with algorithms that comb through ultrasound images to identify signs of disease.

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If it walks like a particle, and talks like a particle... it may still not be a particle. A topological soliton is a special type of wave or dislocation which behaves like a particle: it can move around but cannot spread out and disappear like you would expect from, say, a ripple on the surface of a pond. Researchers now demonstrate the atypical behavior of topological solitons in a robotic metamaterial, something which in the future may be used to control how robots move, sense their surroundings and communicate.

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Imaging being able to wear clothes that charge your gadgets just by wearing them. New research has brought us a step closer to achieving this reality.

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Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI). A team has succeeded in modelling an artificial neural network capable of this cognitive prowess. After learning and performing a series of basic tasks, this AI was able to provide a linguistic description of them to a 'sister' AI, which in turn performed them.

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Anyone who wants to produce medication, plastics or fertilizer using conventional methods needs heat for chemical reactions -- but not so with photochemistry, where light provides the energy. The process to achieve the desired product also often takes fewer intermediate steps. Researchers are now going one step further and are demonstrating how the energy efficiency of photochemical reactions can be increased tenfold. More sustainable and cost-effective applications are now tantalizingly close.

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Engineers propose a new quantitative framework to account for and predict the impact of temperature on the curing speed of platinum-catalyzed silicone elastomers. The findings could maximize throughput and minimize waste in the manufacturing of components for soft robotics and wearables.

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Scientists have unveiled a groundbreaking technique for mass-producing polymer solid electrolytes, crucial components in batteries.

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Advanced killer robots are more likely to blamed for civilian deaths than military machines, new research has revealed. The study shows that high-tech bots will be held more responsible for fatalities in identical incidents.

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The quadrupedal robot ANYmal went back to school and has learned a lot. Researchers used machine learning to teach it new skills: the robot can now climb over obstacles and successfully negotiate pitfalls.

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Global GDP loss from climate change will increase exponentially the warmer the planet gets when its cascading impact on global supply chains is factored in, finds a new study.

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Ammonia is an important molecule with many applications. The end product of the famed Haber-Bosch process, it is commonly synthesized to capture nitrogen for fertilizers, and is used for refrigeration, in cleaning products, and in the production of pharmaceuticals. Recently, this modest molecule has also attracted interest as a potential resource for addressing one of today's most pressing challenges -- the need for reliable and abundant renewable fuels.

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By wrapping a carbon nanotube with a ribbon-like polymer, researchers were able to create nanotubes that conduct electricity when struck with low-energy light that our eyes cannot see. In the future, the approach could make it possible to optimize semiconductors for applications ranging from night vision to new forms of computing.

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Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.

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Researchers have developed a haptic device capable of reproducing the softness of various materials, from a marshmallow to a beating heart, overcoming a deceptively complex challenge that has previously eluded roboticists.

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Researchers got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports.

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High-temperature superconductor magnets have the potential to lower the costs of operating particle accelerators and enable powerful new technologies like fusion reactors. But quenches -- the sudden, destructive events wherein a part of the material loses superconductivity -- are a major barrier to their deployment. Scientists have developed an approach to prevent quenches altogether, rather than simply trying to manage them after they occur.

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A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe.