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Categories: Computer Science: Artificial Intelligence (AI), Mathematics: Modeling

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With a growing interest in generative artificial intelligence (AI) systems worldwide, researchers have created software that is able to verify how much information an AI farmed from an organization's digital database.

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A multidisciplinary team has created a new fabrication technique for fully foldable robots that can perform a variety of complex tasks without relying on semiconductors.

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Newly created soft-rigid robotic fingers incorporate powerful sensors along their entire length, enabling them to produce a robotic hand that could accurately identify objects after only one grasp.

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Student researchers investigate how intentional robot deception affects trust, examining the effectiveness of apologies after robots lie.

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Researchers used computational modeling to reveal finer details surrounding the outer shell of the COVID-19 virus. The work expands the scientific community's understanding of SARS-COV-2, and could lead to more refined antiviral therapies and better vaccines.

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Artificial intelligence technologies like ChatGPT are seemingly doing everything these days: writing code, composing music, and even creating images so realistic you'll think they were taken by professional photographers. Add thinking and responding like a human to the conga line of capabilities. A recent study proves that artificial intelligence can respond to complex survey questions just like a real human.

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Being able to withstand hurricane-force winds is the key to a long life for many buildings on the Eastern Seaboard and Gulf Coast of the U.S. Determining the right level of winds to design for is tricky business, but support from artificial intelligence may offer a simple solution.

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When severe weather is brewing and life-threatening hazards like heavy rain, hail or tornadoes are possible, advance warning and accurate predictions are of utmost importance. Weather researchers have given storm forecasters a powerful new tool to improve confidence in their forecasts and potentially save lives. Over the last several years, Russ Schumacher, professor in the Department of Atmospheric Science and Colorado State Climatologist, has led a team developing a sophisticated machine learning model for advancing skillful prediction of hazardous weather across the continental United States. First trained on historical records of excessive rainfall, the model is now smart enough to make accurate predictions of events like tornadoes and hail four to eight days in advance -- the crucial sweet spot for forecasters to get information out to the public so they can prepare. The model is called CSU-MLP, or Colorado State University-Machine Learning Probabilities.

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Can monetary policy such as the U.S. Federal Reserve raising interest rates affect the environment? According to a new study, it can. Results suggest that the impact of monetary policy on pollution is basically domestic: a monetary contraction or reduction in a region reduces its own emissions, but this does not seem to spread out to other economies. However, the findings do not imply that the international economy is irrelevant to determining one region's emissions level. The actions of a country, like the U.S., are not restricted to its borders. For example, a positive shock in the Federal Reserve's monetary policy may cause adjustments in the whole system, including the carbon emissions of the other regions.

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Researchers found that preschoolers prefer learning from what they perceive as a competent robot over an incompetent human. This study is the first to use both a human speaker and a robot to see if children deem social affiliation and similarity more important than competency when choosing which source to trust and learn from.

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Engineers are harnessing artificial intelligence (AI) and wireless technology to unobtrusively monitor elderly people in their living spaces and provide early detection of emerging health problems.

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Researchers have demonstrated a caterpillar-like soft robot that can move forward, backward and dip under narrow spaces. The caterpillar-bot's movement is driven by a novel pattern of silver nanowires that use heat to control the way the robot bends, allowing users to steer the robot in either direction.

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Scientists have developed fully biodegradable, high-performance artificial muscles. Their research project marks another step towards green technology becoming a lasting trend in the field of soft robotics.

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New research aims to increase autonomy for individuals with such motor impairments by introducing a head-worn device that will help them control a mobile manipulator. Teleoperated mobile manipulators can aid individuals in completing daily activities, but many existing technologies like hand-operated joysticks or web interfaces require a user to have substantial fine motor skills to effectively control them. Research led by robotics Ph.D. student Akhil Padmanabha offers a new device equipped with a hands-free microphone and head-worn sensor that allows users to control a mobile robot via head motion and speech recognition.

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Researchers have developed biosensor technology that will allow you to operate devices, such as robots and machines, solely through thought control.

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Synecoculture, a new farming method, involves growing mixed plant species together in high density. However, it requires complex operation since varying species with different growing seasons and growing speeds are planted on the same land. To address this need, researchers have developed a robot that can sow, prune, and harvest plants in dense vegetation growth. Its small, flexible body will help large-scale Synecoculture. This is an important step towards achieving sustainable farming and carbon neutrality.

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In organic solar cells, carbon-based polymers convert light into charges that are passed to an acceptor. Scientists have now calculated how this happens by combining molecular dynamics simulations with quantum calculations and have provided theoretical insights to interpret experimental data.

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Researchers have developed resilient artificial muscles that can enable insect-scale aerial robots to effectively recover flight performance after suffering severe damage.

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The Walking Oligomeric Robotic Mobility System, or WORMS, is a reconfigurable, modular, multiagent robotics architecture for extreme lunar terrain mobility. The system could be used to assemble autonomous worm-like parts into larger biomimetic robots that could explore lava tubes, steep slopes, and the moon's permanently shadowed regions.

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Robots can be useful as mental wellbeing coaches in the workplace -- but perception of their effectiveness depends in large part on what the robot looks like.