In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Researchers in China have developed an error-aware probabilistic update (EaPU) method that dramatically improves the ...

Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for ...

Anyone exploring technological advances in artificial intelligence (AI) will inevitably encounter spiking neural networks (SNNs) — the next step toward energy‑efficient real‑time AI. The difference ...

Researchers developed PropMolFlow, an AI model that generates chemically valid, property-targeted molecules about 10 times faster than existing methods.

SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...

Researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Nvidia’s latest pitch for the future of graphics is not about more polygons or higher memory bandwidth, it is about teaching ...