AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

The idea that the universe itself might be intelligent sounds like science fiction, yet a growing group of researchers is ...

Abstract: Graph neural networks (GNNs) that collect information from neighbors are commonly utilized in semi-supervised learning contexts. In particular, a significant body of research has been ...

Microsoft plans to translate the code of software products into the Rust language by 2030. The task will mainly be performed by artificial intelligence (AI) agents. This was announced on December 24 ...

Shivik Labs is a deep-tech research and engineering unit dedicated to building foundational intelligence architectures.

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...

Network-wide traffic flow, which represents the dynamic traffic volumes on each link of a road network, is fundamental to smart cities. However, the ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...