★原文链接：https://zhuanlan.zhihu.com/p/1998418717743289472作者：王云鹤写这个的时候，其实我脑子里第一反应是好多年以前某位领导问过我，transformer的下一跳是什么？

何恺明（Kaiming He）教授带领的麻省理工学院团队，联合哈佛大学研究者，发布了一项名为 Drifting Models（漂移模型）的新研究。这项工作最核心的突破在于：它打破了扩散模型（Diffusion）或流匹配模型（Flow Matching ...

像素扩散模型虽然避开了 VAE，但它要面对的是一个极其复杂的高维空间。在这个空间里，除了我们关心的物体形状、颜色，还充斥着大量的“无效信息”，比如相机的噪声、肉眼不可见的细节。让模型去逐个像素地死磕这些无效信号，不仅浪费算力，还会让训练变得异常困难。

Following a string of controversies stemming from technical hiccups and licensing changes, AI startup Stability AI has announced its latest family of image-generation models. The new Stable Diffusion ...

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 ...

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 ...

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 ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics that deals with constantly changing systems, explains why optimal ...

“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 ...

We’re all pretty familiar with AI’s ability to create realistic-looking images of people that don’t exist, but here’s an unusual implementation of using that technology for a different purpose: ...