The Anderson transition is a phase transition that occurs in disordered systems, which entails a shift from a diffusive state ...

Project Starlight uses diffusion AI to upscale, enhance, denoise, de-alias, and sharpen video—without any sliders or manual ...

TikTok’s $300 billion-valued parent company, ByteDance, is one of the world’s busiest AI developers. It plans to spend billions of dollars on AI chips this year, while its tec ...

Nvidia RTX GPUs for Stable Diffusion. Processing is often pushed to the cloud, but your workstation's GPU may already be ...

Fixed a bug in video training causing width and height to be flipped when bucketing by aspect ratio. This would cause videos to be over-cropped. Image-only training is unaffected. If you have been ...

The framework would divide the world into AI “haves” and “have nots,” based on nations’ willingness to align with the U.S.

It’s likely that we’re going to continue to get better iterations through the use of the AI process, where diffusion shows us what can be possible in chemical engineering. I’ve previously ...

Abstract: Diffusion-based generative models have exhibited considerable ... we leverage off-the-shelf pre-trained networks to construct generic energy functions, guiding the generation process under ...

Specifically, diffusion models, which excel in generating continuous data like images, audio, and videos through a denoising process, encounter limitations in performance improvement when simply ...

Research Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States Department of Electrical Engineering and Computer ...

By learning from the data distribution of stable materials, the decoder generates materials in a diffusion process that moves atomic coordinates towards a lower energy state and updates atom types to ...

All over the AI field, teams are unlocking new functionality by changing the ways that the models work. Some of this has to do with input compression and changing the memory requirements for LLMs ...