An AI inspired by the way humans form long-term memories during sleep can learn to perform tasks better than existing models. Plus: a bold new take on quantum theory. |
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Building AIs that sleep and dream can lead to better results and more reliable models, according to researchers who aim to replicate the architecture and behaviour of the human brain. Concetto Spampinato and his colleagues at the University of Catania, Italy, were looking for ways to avoid a phenomenon known as “catastrophic forgetting”, where an AI model trained to do a new task loses the ability to carry out jobs it previously aced. They developed a new method of training AI that mimics the way human brains reinforce new information. People shuffle short-term memories of experiences and lessons learned throughout the day into long-term memories while sleeping. Read more
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Orangutan calls have a complex structure that was thought to be unique to human language. Short sequences are nested inside longer sequences, much like the way we assemble long sentences from shorter phrases. There is no evidence that any complex meanings are encoded in the orangutans’ intricate calls. But the fact that they can do it at all means the calls may be a distant precursor to language. Read more
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Long read: Where quantum weirdness hides |
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Quantum theory describes the microscopic world with unprecedented accuracy. But its laws are strange: they allow a particle to exist in multiple places at once, for instance. We never see these odd effects in the classical, everyday world. So, what is happening? A new idea uses thermodynamics to explain what is going on during this transition. If it turns out to be right, it will have implications for our idea that particles cannot be seen in two places at once, and might profoundly change our understanding of reality. Read more
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