A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

Abstract: Recent years have seen a surging interest in developing under-approximations of reachable sets due to their potential applications in control synthesis and verification. In this letter, we ...

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A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex ...

This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.

Abstract: We consider the problem of online sparse linear approximation, where a learner sequentially predicts the best sparse linear approximations of an as yet unobserved sequence of measurements in ...

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We conclude that brain states are shaped by local circuit mechanisms, large-scale connectivity and neuromodulation. A unified multiscale theory of cortical dynamics is relevant not only for ...