In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...

A Tsinghua University team claims sub second volumetric 3D printing with fine features, and the trick is moving the optics instead of the resin.

An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

New findings from Karolinska Institutet reveal how the gene HNRNPU coordinates several fundamental molecular processes during ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...