Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia Institute of Technology have performed the largest direct numerical ...

Abstract: A significant amount of nonlinear loads exacerbate the distorted degree of the grid, and the development of grid-forming (GFM) converters provides new opportunities for power quality ...

Scientists in the US have created a tiny silicon chip that can perform mathematical ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated reasoning. But when it comes to four-digit multiplication, a task taught in ...

ULANQAB, China—The U.S. invented the most powerful artificial-intelligence models and controls access to the most advanced computer chips, but China has an ace to play in the global AI contest. China ...

While shoveling snow may be the backbreaking chore of wintertime, leaf raking takes the (pumpkin-flavored) cake for fall. And if your usual method is to push all of the leaves into one massive pile in ...

Abstract: Matrix multiplication over the real field constitutes a foundational operation in the training of deep learning models, serving as a computational cornerstone for both forward and backward ...

This article was originally published on Dialogue Earth. Dialogue Earth talks to Matthew David Wittenstein of the UN ESCAP about how regional power connectivity can move forward in a fair and ...

As our global temperatures continue to rise, the threat of wildfire is becoming more and more of a reality. With the latest wildfires in California causing catastrophic volumes of damage and ...

Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) have developed a dynamic modeling method that uses machine learning to provide accurate simulations of grid behavior and ...