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 ...

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 ...

About CERo Therapeutics Holdings, Inc. CERo is an innovative immunotherapy company advancing the development of next generation engineered T cell therapeutics for the treatment of cancer.

Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.

The open benchmark competition will evaluate the ability of AI-powered virtual cell models to generalize to new cell contexts for therapeutic applications.

Objective: Currently, there is no individualized prediction model for joint function recovery after ankle fracture surgery. This study aims to develop a prediction model for poor recovery following ...

To our knowledge, to date, however, there are no widely utilized machine learning (ML) models that predict development of CLL. Therefore, the objective of this study was to leverage readily available ...

This concern and the resulting flow of venture capital to China, Europe and foreign rivals who provide patent protections for machine learning technologies have been noted by Former USPTO Director ...