A few years ago, a new kind of AI called a diffusion model appeared. Today, it powers tools like Stable Diffusion and Runway Gen-2, turning text prompts into high-quality images and even short videos.
Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...
The development of large language models (LLMs) is entering a pivotal phase with the emergence of diffusion-based architectures. These models, spearheaded by Inception Labs through its new Mercury ...
“Macro placement is a vital step in digital circuit design that defines the physical location of large collections of components, known as macros, on a 2-dimensional chip. The physical layout obtained ...
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Inception, a new Palo Alto-based company started by Stanford computer science professor Stefano Ermon, claims to have developed a novel AI model based on “diffusion” technology. Inception calls it a ...
Amid the flood of AI-related announcements at Google’s I/O developer conference Tuesday was a brief demo that, although it didn’t get much stage time, has AI insiders buzzing. Gemini Diffusion, an ...
As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...
Stability AI's 2022 release of Stable Diffusion significantly impacted the image-generating landscape, becoming the basis for many video and image generators. Now, the company is releasing a ...