MIT researchers used sparse autoencoders to shed light on the inner workings of protein language models, an advance that could streamline the process of identifying new drugs or vaccine targets.

This paper presents a new PSKG approach that tackles these issues by using deep learning to enhance channel reciprocity, even with imperfect channel state information (CSI). Specifically, a denoising ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

ChatGPT’s Deep Research tool acts as a research assistant and can quickly find great sources on a variety of topics.

Hybrid approaches Modern denoising combines low-rank modeling, sparse coding, and transform-based filtering. Techniques like WNNM and deep plug-and-play priors integrate classical and learned ...

Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it’s an inevitable by-product of their architecture.

The observers evaluated routine-dose contrast-enhanced CT against simulated lower-dose datasets, both with and without the application of a commercially available deep learning–based denoising (DLD) ...

The result is the world’s first deep learning exchange correlation (XC) functional, which achieves high accuracy without sacrificing speed. Microsoft’s new deep learning-powered DFT model has the ...

A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images ...

A self-supervised deep learning model has been developed to improve the quality of dynamic fluorescence images by leveraging temporal gradients. The method enables accurate denoising without ...

Article citations More>> Tschannen, M., Bachem, O. and Lucic, M. (2018) Recent Advances in Autoencoder-based Representation Learning. arXiv: 1812.05069. has been cited by the following article: TITLE: ...