In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than ...
Benchmark accuracy of Klear-Reasoner-8B on AIME 2024/2025 (avg@64), LiveCodeBench V5 (2024/08/01-2025/02/01, avg@8), and v6 (2025/02/01-2025/05/01, avg@8).
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
Abstract: Nonstabilizerness is a fundamental resource for quantum advantage, as it quantifies the extent to which a quantum state diverges from those states that can be efficiently simulated on a ...
Abstract: Few-shot node classification (FSNC) is a challenging task in graph analysis, where the goal is to classify unlabeled nodes in a graph using only a few labeled nodes as references. To tackle ...
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