Co-learning to improve autonomous driving

Self-driving cars are both fascinating and fear-inducing, as they must accurately assess and navigate the rapidly changing environment. Computer vision, which uses computation to extract information from imagery, is an important aspect of autonomous driving, with tasks ranging from low level, such as determining how far away a given location is from the vehicle, to…

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ChatGPT creates persuasive, phony medical report

A common truism among statisticians is that “the data don’t lie.” However, recent findings by Italian researchers may make those who study data think twice before making such assumptions. A common truism among statisticians is that “the data don’t lie.” However, recent findings by Italian researchers may make those who study data think twice before…

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Algorithm appreciation overcomes algorithm aversion, advertising content study finds

Advertising content generated by artificial intelligence (AI) is perceived as being of higher quality than content produced by human experts, according to a new research paper in Judgment and Decision Making. Advertising content generated by artificial intelligence (AI) is perceived as being of higher quality than content produced by human experts, according to a new…

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Researchers develop large language model for medical knowledge

Researchers from EPFL have just released Meditron, the world’s best performing open source large language model tailored to the medical field designed to help guide clinical decision-making. Researchers from EPFL have just released Meditron, the world’s best performing open source large language model tailored to the medical field designed to help guide clinical decision-making. Read…

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Using large language models to code new tasks for robots

You’ve likely heard that “experience is the best teacher”—but what if learning in the real world is prohibitively expensive? This is the plight of roboticists training their machines on manipulation tasks. Real-world interaction data is costly, so their robots often learn from simulated versions of different activities. You’ve likely heard that “experience is the best…

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An approach that allows robots to learn in changing environments from human feedback and exploration

To best assist humans in real-world settings, robots should be able to continuously acquire useful new skills in dynamic and rapidly changing environments. Currently, however, most robots can only tackle tasks that they have been previously trained on and can only acquire new capabilities after further training. To best assist humans in real-world settings, robots…

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Tensor networks: Enhancing interpretability and efficiency in quantum-inspired machine learning

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical challenge. Shi-Ju Ran of Capital Normal University and Gang Su of the University of the Chinese Academy of Sciences have reviewed an innovative approach based on tensor networks, drawing inspiration…

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