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Shackled, bleeding, raped: Palestinians describe abuse in Israel’s prisons
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GLP-1 drugs, including Ozempic, may have a beneficial effect across many types of cancer
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Spatially Grounded Concept Bottleneck Models via Part-Factorized Attention
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Detecting Flakiness in Quantum Software: A Dynamic Testing Approach
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Your body clock has seasonal rhythms and it matters for vaccines
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Workers found a human head in 1984 and uncovered an ancient secret
The landscape around Wilmslow appears unremarkable at first glance. Commuter trains pass nearby, housing estates edge ever closer to open ground, and modern Cheshire carries on with little hint of the distant past beneath its feet. Yet hidden within this corner of north-west England lies a place that has repeatedly produced encounters with the dead.
Neural Fields as World Models
arXiv:2602.18690v2 Announce Type: replace-cross Abstract: Humans rehearse possible futures offline, as in mental practice and perhaps dreaming, suggesting that world models may support task learning away from the environment. Standard machine learning world models compress visual input into latent vectors, discarding the spatial structure that characterizes sensory cortex. We propose isomorphic world models: architectures that preserve sensory topology, so physics prediction becomes...