High-resolution flow fields are essential for understanding, predicting, and controlling fluid systems, yet they remain difficult to obtain from either experiments or high-fidelity simulations.
Abstract: Partial discharge (PD) can characterize and affect the insulation performance of distribution transformers. However, PD signals have the problem of a single-mode sparse dictionary with a ...
Twitch star Kai Cenat is earning praise across the internet for openly documenting his reading journey, even filming himself looking up words he doesn’t know how to pronounce. Kai Cenat has been ...
ABSTRACT: To understand the impact of Generative Artificial Intelligence (GenAI) on the academic writing of English as a Foreign Language (EFL) students in higher education, more research is required ...
In this tutorial, we explore Online Process Reward Learning (OPRL) and demonstrate how we can learn dense, step-level reward signals from trajectory preferences to solve sparse-reward reinforcement ...
Abstract: Sparse optoacoustic sensing (SOS) enhances tomographic imaging by enabling high frame rates and reducing system complexity through partial data acquisition. However, its performance depends ...
4D radar measurements offer an affordable and weather-robust solution for 3D perception. However, the inherent sparsity and noise of radar point clouds present significant challenges for accurate 3D ...
Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components at any given time, MoEs offer a novel approach to managing the trade-off ...
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