Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

AI is transforming the cybersecurity landscape—empowering attackers with powerful new tools while offering defenders a chance ...

To address the challenge of controlling protein activation in living animals for gain-of-function studies, researchers from ...

Abstract: When dealing with clinical text classification on a small dataset, recent studies have confirmed that a well-tuned multilayer perceptron outperforms other generative classifiers, including ...

Despite advances in deep learning for estimating ... due to its complex data structure and the noisy nature of functional connectivity measurements. To address these challenges, we present the ...

A prototype system that uses a CNN encoder and edge-based features to retrieve visually similar fashion items from the Fashion MNIST dataset using cosine similarity.

ACE-Step bridges this gap by integrating diffusion-based generation with Sana’s Deep Compression AutoEncoder (DCAE) and a lightweight linear transformer. It further leverages MERT and m-hubert to ...

This study developed CMF-ELSeg, a novel fully automatic multi-structure segmentation model based on deep ensemble learning. Methods: A total of 143 CMF computed tomography (CT) scans were ...