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Categories: Engineering: Robotics Research, Space: The Solar System

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Elusive fundamental particles called neutrinos are predicted to interact unexpectedly with photons under extreme conditions.

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Researchers who created a soft robot that could navigate simple mazes without human or computer direction have now built on that work, creating a 'brainless' soft robot that can navigate more complex and dynamic environments.

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A new article hints at the existence of several black holes in the Hyades cluster -- the closest open cluster to our solar system -- which would make them the closest black holes to Earth ever detected.

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Massive burst of X-rays detected by astronomers indicates material three times the mass of Earth burning up in a black hole. They observed a star like our own Sun being eaten away every time it orbits close. First time a Sun-like star being repeatedly disrupted by a low mass black hole has been seen, opening the possibility of a range of star and black hole combinations to be discovered.

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New research has revealed the distribution of dark matter in never before seen detail, down to a scale of 30,000 light-years. The observed distribution fluctuations provide better constraints on the nature of dark matter.

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A team of scientists developed a new machine learning model for discovering critical-element-free permanent magnet materials based on the predicted Curie temperature of new material combinations.

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An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were particularly effective at solving complex tasks.

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The day when robots can cook dinner, clear the kitchen table and empty the dishwasher is still a long way off. First, robots need to be able to recognize the many items of different sizes, shapes and brands in our homes. A team has now made a significant advance toward that technology with a robotic system that uses artificial intelligence to help robots better identify and remember objects.

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Scientists have detected and validated two of the longest-period exoplanets found by TESS to date. These long period large exoplanets orbit a K dwarf star and belong to a class of planets known as warm Jupiters, which have orbital periods of 10-200 days and are at least six times Earth's radius. This recent discovery offers exciting research opportunities for the future of finding long-period planets that resemble those in our own solar system.

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A Neptune-sized planet denser than steel has been discovered by an international team of astronomers, who believe its composition could be the result of a giant planetary clash.

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Research teams have detailed a pioneering breakthrough in medical device technology that could lead to intelligent, long-lasting, tailored treatment for patients, thanks to soft robotics and artificial intelligence.

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In a milestone for artificial intelligence (AI), the AI system 'Swift' has beaten the world champions in drone racing -- a result that seemed unattainable just a few years ago. The AI-piloted drone was trained in a simulated environment. Real-world applications include environmental monitoring or disaster response.

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Machine learning model provides quick method for determining the composition of solid chemical mixtures using only photographs of the sample.

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Even when humans see AI-based assistants purely as tools, they ascribe partial responsibility for decisions to them, as a new study shows.

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Imagine a robot that can wedge itself through the cracks in rubble to search for survivors trapped in the wreckage of a collapsed building. Engineers are working toward to that goal with CLARI, short for Compliant Legged Articulated Robotic Insect.

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Astronomers have uncovered a link between Neptune's shifting cloud abundance and the 11-year solar cycle, in which the waxing and waning of the Sun's entangled magnetic fields drives solar activity.

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A research team overcomes limitations of conventional strain sensors using computer vision integrated optical sensors.

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The global population of people older than 65 years of age is rapidly increasing the need for care. Although care robots are a promising solution to fill in for caregivers, their social implementation has been slow and unsatisfactory. A team of international researchers has now developed the first universal model that can be employed across cultural contexts to explain how ethical perceptions affect the willingness to use care robots.

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A new AI technique enables a robot to develop complex plans for manipulating an object using its entire hand, not just fingertips. This model can generate effective plans in about a minute using a standard laptop.

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Scientific exploration of the deep ocean has largely remained inaccessible to most people because of barriers to access due to infrastructure, training, and physical ability requirements for at-sea oceanographic research.