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Categories: Computer Science: Artificial Intelligence (AI), Engineering: Robotics Research

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Inspired by a small and slow snail, scientists have developed a robot protype that may one day scoop up microplastics from the surfaces of oceans, seas and lakes.

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Artificial intelligence tools hold promise for applications ranging from autonomous vehicles to the interpretation of medical images. However, a new study finds these AI tools are more vulnerable than previously thought to targeted attacks that effectively force AI systems to make bad decisions.

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In a step toward more autonomous soft robots and wearable technologies, researchers have created a device that uses color to simultaneously sense multiple mechanical and temperature stimuli.

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Electronic nanomaterials experts have imagined how recent advances in artificial intelligence (AI) and machine learning (ML) could aid scientific brainstorming and ideation. To accomplish this, they have developed a chatbot with knowledge in the kinds of science he's been engaged in.

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Researchers have demonstrated the use of AI-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain. The goal is to apply a data-driven approach to understand how vision is organized while potentially removing biases that may arise when looking at responses to a more limited set of researcher-selected images.

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Researchers demonstrated monolithic 3D integration of layered 2D material into novel processing hardware for artificial intelligence computing. The new approach provides a material-level solution for fully integrating many functions into a single, small electronic chip -- and paves the way for advanced AI computing. 

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Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to bad weather, unstructured roads, or occlusion. Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable conditions. This study marks a significant step in autonomous vehicle object detection technology.

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World War II concluded decades ago, but live mines lurking on the ocean floor still pose threats, potentially spewing unexpected geysers or releasing contaminants into the water. Experts conduct controlled explosions to clear underwater munitions, but concerns have arisen over the environmental impacts from these blasts. New results show that the contamination produced by detonation depends on the blast type, with weaker explosions leaving behind more potentially toxic residues.

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New technology often calls for new materials -- and with supercomputers and simulations, researchers don't have to wade through inefficient guesswork to invent them from scratch.

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An inspection design method and procedure by which mobile robots can inspect large pipe structures has been demonstrated with the successful inspection of multiple defects on a three-meter long steel pipe using guided acoustic wave sensors.

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Engineers have come up with a new way to teach robots to know when they don't know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty -- and triggers the robot to ask for clarification.

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Researchers report that they have developed a new composite material designed to change behaviors depending on temperature in order to perform specific tasks. These materials are poised to be part of the next generation of autonomous robotics that will interact with the environment.

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Computer scientists have developed AntiFake, a tool to protect voice recordings from unauthorized speech synthesis.

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A new technique enables an AI agent to be guided by data crowdsourced asynchronously from nonexpert human users as it learns to complete a task through reinforcement learning. The method trains the robot faster and better than other approaches.

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Researchers taught an autonomous excavator to construct dry stone walls itself using boulders weighing several tons and demolition debris.

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Tandem solar cells based on perovskite semiconductors convert sunlight to electricity more efficiently than conventional silicon solar cells. In order to make this technology ready for the market, further improvements with regard to stability and manufacturing processes are required. Researchers have succeeded in finding a way to predict the quality of the perovskite layers and consequently that of the resulting solar cells: Assisted by Machine Learning and new methods in Artificial Intelligence (AI), it is possible assess their quality from variations in light emission already in the manufacturing process.

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Psychologists are using EEG to research what games reveal about our ability to cooperate.

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Using 700 years' worth of wave data from more than a billion waves, scientists have used artificial intelligence to find a formula for how to predict the occurrence of these maritime monsters. Long considered myth, freakishly large rogue waves are very real and can split apart ships and even damage oil rigs.

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A researcher contends that the understanding of AI is muddled by linguistics: That while indeed intelligent, AI cannot be intelligent in the way that humans are, even though 'it can lie and BS like its maker.'

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Generative AI (e.g., ChatGPT) has propelled AI into the mainstream, raising concerns about job displacement and creative work. Experts now emphasize a need to focus on 'co-creativity,' the human-AI interaction instead. Extensive research is needed for comprehending co-creativity which is crucial for the future development of AI.