Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

Early identification and prediction of postoperative pulmonary complications (PPCs) are vital for patient management in lung cancer (LC) surgery. However, existing predictive models often lack ...

The development of a semiconductor system is more complex than just describing functionality in RTL. How ready are AI models ...

Existing approaches often overlook the intricate structural relationships within compounds, limiting both predictive accuracy and generalizability. To address these challenges, we propose TS-AC, a ...

Federated Learning (FL) has been widely recognized as a promising promoter for future intelligent wireless networks, by collaboratively training a global machine learning (ML) model in a ...

In a study published in PNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep learning model, called ST-GasNet, capable of predicting toxic plume behavior in ...

Udemy (Nasdaq: UDMY), a leading AI-powered skills acceleration platform, today announced the upcoming launch of its new Model Context Protocol (MCP) Server, designed to help organizations embed ...

Accurately predicting the occurrence, amplitude, and propagation speed of traffic flow shockwaves are essential for dynamic traffic control to mitigate traffic congestion. However, traditional ...