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

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

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 ...

Understanding the Impact of Gemini Robotics ER-1.6 on Robotic Reasoning The rapid evolution of robotic systems hinges on one ...