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HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning

School coaches prepare for opponents with game film and intuition. The analytics tools of professional teams stay out of reach. We ask how far public data can close this gap. Professional basketball is our case study, chosen for its data rather than the league. We fuse five public sources into one per-shot dataset of 4.23M shots over 21 seasons. The sources are shot locations, two play-by-play…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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The AI curse

NEW YORK — In a county in northern Virginia, a family’s electricity bill has doubled. A few miles away, a windowless building the size of a shopping mall hums through the night—yet another AI data…

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