Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...

University of Virginia School of Medicine scientists have developed a bold new approach to drug development and discovery ...

By observing how health data changes over time, artificial intelligence can help identify “tipping points” when a patient’s ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

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 ...