AI is helping scientists make sense of messy dinosaur footprints, offering new clues about how dinosaurs moved and when birds ...

Researchers have developed an AI training method that enables robots to transfer skills learned in simulation into real-world ...

Abstract: Despite advancements using graph neural networks (GNNs) to capture complex user-item interactions, challenges persist due to data sparsity and noise. To address these, self-supervised ...

Understanding drug resistance is crucial. Quantum modeling offers insights into molecular interactions, enhancing drug ...

Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, ...