Tag: computers

  • AI imagining… Humans living…

    AI imagining… Humans living…

    AI passes theory of mind test by imagining itself in another's shoes. (1) This is great. For the computer. But we should test ourself. Imagine you are a computer. But you can't imagine how that can be, can you? See? Forget about what you can do. Focus on what you cannot. These are the things…

  • N-problems… Understanding nothing…

    N-problems… Understanding nothing…

    Physicists are proposing a new model that could demonstrate the supremacy of quantum computers over classical supercomputers in solving optimization problems. They demonstrate that just a few quantum particles would be sufficient to solve the mathematically difficult N-queens problem in chess even for large chess boards. (1) Solving problems with less. Reaching at the end…

  • Open-ending algorithms… The end as the beginning…

    Open-ending algorithms… The end as the beginning…

    Evolution allows life to explore almost limitless diversity and complexity. Scientists hope to recreate such open-endedness in the laboratory or in computer simulations, but even sophisticated computational techniques like machine learning and artificial intelligence can't provide the open-ended tinkering associated with evolution. Here, common barriers to open-endedness in computation and biology were compared, to see…

  • Attributing art. Understanding art. Making art?!

    Attributing art. Understanding art. Making art?!

    AI used to analyze and attribute art. (1) Computers analyzing art. Categorizing it. Attributing it. Computers understanding art. Computers destroying art. Only because they understood it. While it is not meant to be understood. But can't you see? This means that they didn't understand it after all! Weird cosmos. Full of people. Full of computers.…

  • The limits of AI…

    The limits of AI…

    A team of mathematicians and AI researchers discovered that despite the seemingly boundless potential of machine learning, even the cleverest algorithms are nonetheless bound by the constraints of mathematics. Research showed that a machine's ability to actually learn – called learnability – can be constrained by mathematics that is unprovable. In other words, it's basically…

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