Researchers have identified an unexpected link between atomic magnetism and carbon mobility in steel. Researchers at the ...

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

For the past few years, a single axiom has ruled the generative AI industry: if you want to build a state-of-the-art model, ...

Professor Dallas Trinkle and colleagues have provided the first quantitative explanation for how magnetic fields slow carbon ...

Materials scientists from The Grainger College of Engineering have provided the first quantitative explanation for a phenomenon first observed in iron in the 1970s.

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

A new chip-based quantum memory uses nanoprinted “light cages” to trap light inside atomic vapor, enabling fast, reliable ...

Abstract: Latent Diffusion Models have emerged as an efficient alternative to conventional diffusion approaches by compressing high-dimensional images into a lower-dimensional latent space using a ...

Diffusion is a fantastically fun shooter, albeit with one big caveat. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. There was a specific moment ...

MLX support on Apple Silicon is in progress. We will make necessary updates to the repository once it is available. However, the generation pattern and post-training strategies of dLLMs remain ...

If you thought there was no possible way out for Claire Danes’ Aggie in the “The Beast in Me” finale episode, that was by design. Showrunner Howard Gordon — with whom Danes worked on “Homeland” — ...