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Two researchers have broken an encryption protocol that many saw as a promising defense against the power of quantum computing.
Self-supervised learning allows a neural network to figure out for itself what matters. The process might be what makes our own brains so successful.
Christopher Kanan is building algorithms that can continuously learn over time — the way we do.
Three computer scientists have posted a proof of the NLTS conjecture, showing that systems of entangled particles can remain difficult to analyze even away from extremes.
Mark Braverman has spent his career translating thorny problems into the language of information complexity.
Intelligent beings learn by interacting with the world. Artificial intelligence researchers have adopted a similar strategy to teach their virtual agents new tricks.
Daniel Spielman solves important problems by thinking hard — about other questions.
Computer scientists can now solve a decades-old problem in practically the time it takes to write it down.
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