Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
AI has not reduced the need for human judgment in database management: It has exposed how dangerous it is to operate without ...
As enterprises pour billions into GPU infrastructure for AI workloads, many are discovering that their expensive compute resources sit idle far more than expected. The culprit isn't the hardware. It’s ...
This project investigates token quality from a noisy-label perspective and propose a generic token cleaning pipeline for SFT tasks. Our method filters out uninformative tokens while preserving those ...
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Abstract: Achieving robust face recognition on resource-constrained embedded devices, such as the Raspberry Pi, presents a fundamental challenge due to limited computational resources and a steep ...
Abstract: Modern cloud databases expose hundreds of tunable parameters whose optimal configuration remains challenging due to complex interdependencies and dynamic workloads. This study presents a ...