Abstract: In recent years, government incentives and subsidies have driven significant growth in wind power plant (WPP) capacity, establishing WPPs as key players in the evolving electricity market.

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 ...

School of Chemical Engineering, Pusan National University, Busan 46241, South Korea Department of Chemical Engineering, National Taiwan University, Taipei 106319, Taiwan William G. Lowrie Department ...

Editor’s note: This is the third of three stories on school-based mental health treatment in Minnesota. Here are links to Part 1 and Part 2. A preschool student waits for snack time during their ...

Researchers and AI experts are exploring a groundbreaking approach to advance artificial general intelligence (AGI) by leveraging what is being called a “physical world model.” This innovative ...

Summary: Alzheimer’s disease spreads unevenly through the brain, and new mathematical modeling may help explain why. Researchers developed a network diffusion model that simulates how tau protein ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

A sneeze. Ocean currents. Smoke. What do these have in common? They're instances of turbulence: unpredictable, chaotic, uneven fluid flows of fluctuating velocity and pressure. Though ubiquitous in ...

This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a defined ...

With support from the Accelerating Foundation Models Research (AFMR) grant program, a team of researchers from Microsoft and collaborating institutions has developed an approach to evaluate AI models ...