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Categories: Chemistry: Thermodynamics, Mathematics: Modeling

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Faced with the world's impending freshwater scarcity, researchers turned to solar steam generators, which are emerging as a promising device for seawater desalination. The team sought design inspiration from trees and harnessed the potential of 3D printing. They present technology for producing efficient SSGs for desalination and introduces a novel method for printing functional nanocomposites for multi-jet fusion. Their SSGs were inspired by plant transpiration and are composed of miniature tree-shaped microstructures, forming an efficient, heat-distributing forest.

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Researchers found that an artificial intelligence (AI) model solved medical quiz questions -- designed to test health professionals' ability to diagnose patients based on clinical images and a brief text summary -- with high accuracy. However, physician-graders found the AI model made mistakes when describing images and explaining how its decision-making led to the correct answer.

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In blockchain development, there is a rule of thumb that only two of scalability, security, and decentralization are valid simultaneously. However, the mathematical expression of that rule was still a work in progress. Researchers discovered a mathematical expression for the blockchain trilemma. In the formula for Proof of Work-based blockchains, including Bitcoin, the product of the three terms--scalability, security, and decentralization--is 1.

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Large language models may pass medical exams with flying colors but using them for diagnoses would currently be grossly negligent. Medical chatbots make hasty diagnoses, do not adhere to guidelines, and would put patients' lives at risk. A team has systematically investigated whether this form of artificial intelligence (AI) would be suitable for everyday clinical practice. Despite the current shortcomings, the researchers see potential in the technology. They have published a method that can be used to test the reliability of future medical chatbots.

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Aluminum scandium nitride thin films could pave the way for the next generation of ferroelectric memory devices, according to a new study. Compared to existing ferroelectric materials, these films maintain their ferroelectric properties and crystal structure even after heat treatment at temperatures up to 600 C in both hydrogen and argon atmospheres. This high stability makes them ideal for high-temperature manufacturing processes under the H2-included atmosphere used in fabricating advanced memory devices.

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An international team of researchers has embedded gold nanorods in hydrogels that can be processed through 3D printing to create structures that contract when exposed to light -- and expand again when the light is removed. Because this expansion and contraction can be performed repeatedly, the 3D-printed structures can serve as remotely controlled actuators.

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Researchers have developed a new model that combines generative AI and satellite data to accurately forecast wildfire spread.

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Researchers engineered a new technique to identify at the nanoscale level what components are overheating in electronics and causing their performance to fail.

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A new technique estimates the reliability of a self-supervised foundation model, like those that power ChatGPT, without the need to know what task that model will be deployed on later.

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Carbon capture is a promising approach for mitigating carbon dioxide (CO2) emissions. Different materials have been used to capture CO2 from industrial exhaust gases. Scientists developed hybrid CO2 capture materials containing sodium carbonate and nanocarbon prepared at different temperatures, tested their performance, and identified the optimal calcination temperature condition. They found that the hybrid material exhibits and maintains high CO2 capture capacity for multiple regeneration cycles at a lower temperature, making it cost- and energy-effective.

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Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable, according to the researchers.

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A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine whether to trust the model when it is deployed in real-world settings.

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Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence, which could save valuable time and resources, as well as improve care for patients.

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The possibility of hydrogen-powered flight means greater opportunities for fossil-free travel, and the technological advances to make this happen are moving fast. New studies show that almost all air travel within a 750-mile radius (1200 km) could be made with hydrogen-powered aircraft by 2045, and with a novel heat exchanger currently in development, this range could be even further.

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Scientists developed and tested new artificial intelligence (AI) tools tailored to digital pathology--a rapidly growing field that uses high-resolution digital images created from tissue samples to help diagnose disease and guide treatment.

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Researchers discovered a microscopic mechanism that solves in part the outstanding performance achieved by a new class of organic semiconductors known as non-fullerene acceptors (NFAs).

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Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.

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An artificial intelligence (AI) model that can estimate with high accuracy a person's lung function just by using a chest radiograph has been successfully developed.

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Engineers have created a device that can efficiently convert heat into electrical voltage at temperatures lower than that of outer space. The innovation could help overcome a significant obstacle to the advancement of quantum computing technologies, which require extremely low temperatures to function optimally.

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Painting roofs white or covering them with a reflective coating would be more effective at cooling cities like London than vegetation-covered 'green roofs,' street-level vegetation or solar panels, finds a new study led by UCL researchers.