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The machinery behind machine learning is growing more complex, but the bottleneck often shows up in small, unglamorous work: backfilling data, retiring stale features, and keeping experiments moving ...

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

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