Solving The Data Bottleneck For Physical AI

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

Mercury 2 : World’s Fastest Reasoning AI Model Built for Production Applications

The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...

Sunray-like ripples emerge on a frozen reaction front

Researchers in Belgium have unveiled a striking chemical reaction in which ripples along a frozen reaction front resemble the rays of a shining star. Publishing their results in Physical Review ...
The Atlantic

AI’s Memorization Crisis

Editor’s note: This work is part of AI Watchdog, The Atlantic’s ongoing investigation into the generative-AI industry. On Tuesday, researchers at Stanford and Yale revealed something that AI companies ...
C&EN

Diffusional Voltammetry in Finite Spaces

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The pore structure is a key design parameter for optimizing electrocatalytic systems ...
IEEE

Adversarial Examples are Misaligned in Diffusion Model Manifolds

Abstract: In recent years, diffusion models (DMs) have drawn significant attention for their success in approximating data distributions, yielding state-of-the-art generative results. Nevertheless, ...
GitHub

Add Diffusion example for Kármán vortex street dataset

This example uses a Pytorch implementation of DDPM which can be found [here](https://github.com/lucidrains/denoising-diffusion-pytorch/). We perform our experiments ...