That problem is why, even though we’ve had success finding enzymes that break down common plastics like polyesters and PET, they’re only partial solutions to plastic waste. However, researchers aren’t ...

Nowadays, compute-intensive programs, like those for training artificial intelligence and machine learning models, are used extensively. Modern ...

The founding team behind The Graph debuts a new platform to unify payments, policies, and visibility for autonomous agents.

Abstract: Predicting remaining useful life (RUL) plays a crucial role in the prognostics and health management of industrial systems that involve a variety of interrelated sensors. Given a constant ...

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...

A research team from Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) and Sheikh Shakhbout Medical City has developed two new artificial intelligence systems designed to help doctors ...

A new AI model accurately predicts gas adsorption in metalorganic frameworks and explains its results, offering faster, ...

Traditional experimental methods for evaluating gas adsorption performance of metal–organic frameworks (MOFs) are costly and time-consuming, while ...

Abstract: Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...