Objectives Up to 77% of patients with obstructive sleep apnoea (OSA) have positional OSA (POSA) but traditional positional therapy (PT) methods have failed as they were poorly tolerated. New ...
From in-ball sensors to positional tracking, here's how technology clarifies incidents, improves training, and elevates the quality of the show.
Abstract: In Deep Image Prior (DIP), a Convolutional Neural Network (CNN) is fitted to map a latent space to a degraded (e.g. noisy) image but in the process learns to reconstruct the clean image.
Summary: Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task. This ...
Edited by Detlef Weigel, Max Planck Institute for Developmental Biology, Tübingen, Germany, and approved April 5, 2012 (received for review November 10, 2011) This article is a PNAS Direct Submission.
Abstract: This paper aims to solve a problem: using azimuthal information to label radar pulse data with complex inter-pulse modulations and overlaps on electromagnetic parameters. In these tough ...
The LongRoPE algorithm is built upon the two forms of non-uniformities in positional interpolation: varying RoPE dimensions and token positions. In order to achieve the best performance on long ...
High-dimensional cell phenotyping is a powerful tool to study molecular and cellular changes in health and diseases. CyTOF enables high-dimensional cell phenotyping using tens of surface and ...
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