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  1. esportiva bet: Artificial Intelligence ♉

    Why large language models aren’t heade⛦d toward 🐻humanlike understanding

    Unlike people, today's generative AI isn’t good at learning concepts that it can apply to new situations.
    By
  2. esportiva bet: Agriculture

     Could a rice-mܫeat hybrid be what’s for dinner? ꦏ

    A hybrid food that combines rice, animal cells and fish gelatin could one day be a more sustainable way to produce meat.
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  3. esportiva bet: Ar♛tificial Intelligence 

    How do babies leꦕaꦫrn words? An AI experiment may hold clues

    Using relatively little data, audio and video taken from a baby’s perspective, an AI program learned the names of objects the baby encountered.
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  4. esportiva bet: Neuroscience

    A new device let a man sense te꧟mperature with꧅ his prosthetic hand

    A device that can be integrated into prosthetic hands capitalizes on phantom sensations to enable users to sense hot and cold.
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  5. esportiva bet: Space

    esportiva bet:  How to build a♔n internet on Mars

    Future Red Planet inhabitants will need new ways to connect, including improved relay networks and an offshoot internet.
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  6. esportiva bet: Tech

    ‘N﷽uts and Bolts’ showcases ⛎the 7 building blocks of modern engineering

    Science News reviews Roma Agrawal's book, which updates the classic list of simple machines and reveals the heart and soul of engineering.
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  7. esportiva🐼 bet: Artificial Intelligence

    A♏I chatbots can be tricked into misbehavin🐈g. Can scientists stop it?

    To develop better safeguards, computer scientists are studying how people have manipulated generative AI chatbots into answering harmful questions.
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  8. esportiva bet: Physics

    50 years ago, timekeepers d🎉eployed the newly invented leap second

    After more than 50 years, metrologists will stop using the leap second to align the time kept by atomic clocks with the rate of Earth’s spin.
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  9. esportiva bet: Materials Science

    Artificial♒ intelligence helped scientists create a new type of ෴battery 

    It took just 80 hours, rather than decades, to identify a potential new solid electrolyte using a combination of supercomputing and AI.
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