In recent years, predictive technologies for volcanic eruptions have advanced significantly, particularly with the implementation of neural networks. These advanced algorithms are capable of ...

True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Cohort builder in Tempus Lens: Querying a large oncology database with generative AI. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Helm.ai, a leading provider of advanced AI software for high-end ADAS, autonomous driving, and robotics automation, today introduced Helm.ai Driver, a real-time ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a ...

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...