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Abstract: To address the issues of high model complexity and unclear effective boundaries of algorithms in the context of reinforcement learning algorithms (used as decision-making methods), a method ...

Abstract: Existing primal decomposition algorithms for nonconvex problems cannot handle nonlinear equality constraints and do not fully exploit the original primal decomposition structures, limiting ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...