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Categories: Chemistry: Thermodynamics, Offbeat: Computers and Math

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Researchers are using artificial intelligence to perfect the design of the vessels surrounding the super-hot plasma, optimize heating methods and maintain stable control of the reaction for increasingly long periods. A new article explains how a researcher team used machine learning to avoid magnetic perturbations, or disruptions, which destabilize fusion plasma.

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Today, there are dozens of large language model (LLM) chatbots aimed at mental health care -- addressing everything from loneliness among seniors to anxiety and depression in teens. But the efficacy of these apps is unclear. Even more unclear is how well these apps work in supporting specific, marginalized groups like LGBTQ+ communities.

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Would you trust a robot to look after your cat? New research suggests it takes more than a carefully designed robot to care for your cat, the environment in which they operate is also vital, as well as human interaction.

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A research team has demonstrated that a simple stack of thermoelectric and magnetic material layers can exhibit a substantially larger transverse thermoelectric effect -- energy conversion between electric and heat currents that flow orthogonally to each other within it -- than existing magnetic materials capable of exhibiting the anomalous Nernst effect. This mechanism may be used to develop new types of thermoelectric devices useful in energy harvesting and heat flux sensing.

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Physicists and computer scientists have recently expanded the modern theory of the thermodynamics of computation. By combining approaches from statistical physics and computer science, the researchers introduce mathematical equations that reveal the minimum and maximum predicted energy cost of computational processes that depend on randomness, which is a powerful tool in modern computers.

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Many artificial intelligence (AI) systems have already learned how to deceive humans, even systems that have been trained to be helpful and honest. Researchers describe the risks of deception by AI systems and call for governments to develop strong regulations to address this issue as soon as possible.

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A research team has demonstrated that an iron-based amorphous alloy, widely used as a soft magnetic material in transformers and motors, can be transformed into a 'transverse' thermoelectric conversion material that converts electric and thermal currents in orthogonal directions, with just a short period of heat treatment. This is the first example that highlights the importance of microstructure engineering in the development of transverse thermoelectric conversion materials, and provides new design guidelines for materials development to realize environmentally friendly power generation and thermal management technologies using magnetic materials.

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What if your earbuds could do everything your smartphone can, but better? A new class of synthetic materials could allow for smaller devices that use less power.

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A new machine-learning technique can train and control a reconfigurable soft robot that can dynamically change its shape to complete a task. The researchers also built a simulator that can evaluate control algorithms for shape-shifting soft robots.

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Walking and running is notoriously difficult to recreate in robots. Now, a group of researchers has overcome some of these challenges by creating an innovative method that employs central pattern generators -- neural circuits located in the spinal cord that generate rhythmic patterns of muscle activity -- with deep reinforcement learning. The method not only imitates walking and running motions but also generates movements for frequencies where motion data is absent, enables smooth transition movements from walking to running, and allows for adapting to environments with unstable surfaces.

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Scientists delve into the composition of nanocomposites for ultraviolet metasurface fabrication.

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Researchers lay out the need for design safety protocols that prevent the emerging 'digital afterlife industry' causing social and psychological harm.

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Researchers have discovered a way to stop the quantum dance of atoms 'seen' by electrons in carbon-based organic molecules. This development will help improve the performance of light emitting molecules used in displays and bio-medical imaging.

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Engineers created a catapillar-shaped robot that splits into segments and reassembles, hauls cargo, and crawls through twisting courses.

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A stretchy electronic skin could equip robots and other devices with the same softness and touch sensitivity as human skin, opening up new possibilities to perform tasks that require a great deal of precision and control of force.

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New algorithm encourages robots to move more randomly to collect more diverse data for learning. In tests, robots started with no knowledge and then learned and correctly performed tasks within a single attempt. New model could improve safety and practicality of self-driving cars, delivery drones and more.

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Researchers succeeded in conducting an almost perfect quantum teleportation despite the presence of noise that usually disrupts the transfer of quantum state.

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Driving at night might be a scary challenge for a new driver, but with hours of practice it soon becomes second nature. For self-driving cars, however, practice may not be enough because the lidar sensors that often act as these vehicles' 'eyes' have difficulty detecting dark-colored objects. New research describes a highly reflective black paint that could help these cars see dark objects and make autonomous driving safer.

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Scientists have dramatically reduced the time and energy required to chill materials to temperatures near absolute zero. Their prototype refrigerator could prove a boon for the burgeoning quantum industry, which widely uses ultracold materials.

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A four-legged robot trained with machine learning has learned to avoid falls by spontaneously switching between walking, trotting, and pronking -- a milestone for roboticists as well as biologists interested in animal locomotion.