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Two crossed electric fields unlock gate-tunable, non-collinear spin polarization in 2D materials, even where conventional spin generation is forbidden.
Compact and reliable prediction sets can be achieved in healthcare AI even with limited labeled data, thanks to a novel integration of conformal risk minimization and optimal transport.
Token-oriented inference optimizations can cut production costs and boost efficiency, transforming large model services from merely callable to fully operable.
HiMPO assigns less-entangled credit to memory updates, significantly boosting long-horizon agent performance while minimizing blame leakage from errors.