AMD has officially enabled Stable Diffusion on its latest generation of Ryzen AI processors, bringing local generative AI image creation to systems equipped with XDNA 2 NPUs. The feature arrives ...

In a press release, the Santa Clara-based tech giant detailed the new image generation model. The AI model is based on Stable ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly ...

Google previewed a new AI model, Gemini Diffusion, that it claims is “state-of-the-art” on certain coding and math tasks — leveraging parallel generation to achieve low latency. The version ...

In summary, this comprehensive review charts a clear roadmap for tackling the intrinsic electrostatic challenges of Mg 2+ diffusion in cathode materials through defect engineering.

Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...

The ultrasonic B-scan signal is widely used in the detection of pipeline defects. However, most existing methods face challenges in achieving high accuracy due to the amplitude attenuation phenomenon ...

Inception, a startup, claims to have developed a novel type of AI model based on a diffusion architecture.

Prompt adherence makes Stable Diffusion 3.5 even more powerful Stability AI reports that Stable Diffusion 3.5 Large demonstrates superior prompt adherence compared to other models in the market.

In semiconductor manufacturing, defect detection is pivotal for enhancing productivity and yield. This paper introduces a novel weakly supervised method, the Implicit Cross Domain Diffusion Model ...

The researchers from ByteDance Inc. introduced a method that integrates perceptual loss into diffusion training. They innovatively use the diffusion model itself as a perceptual network. This method ...