Categories: AI/ML News

Discrete spatial diffusion models data while obeying scientific principles

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team’s Discrete Spatial Diffusion approach honors scientific and physics principles. The team validated their model on two challenging scientific applications—subsurface rock microstructures and lithium-ion battery electrodes—with promising results.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Brad Pitt casts Elliot for Achilles – an Ai acting performance experiment

I am putting most of my efforts to achieve more realistic Ai acting with natural…

4 hours ago

New light-based switch could cut chip energy use and speed future AI photonics

Photonic devices are hardware systems that can process information using light instead of electricity. These…

5 hours ago

Microsoft Lens First Tests: It’s Pretty Decent! – ComfyUI Native Support About to Be Merged

Model weights: https://huggingface.co/Comfy-Org/Lens PR: https://github.com/Comfy-Org/ComfyUI/pull/14077 You'll need to git the merge pull request if you're…

1 day ago

Tencent released Z-Image 6B with pixel space gen. No VAE & 1k Resolution.

Link: https://nju-pcalab.github.io/projects/L2P/ submitted by /u/switch2stock [link] [comments]

2 days ago

Building Context-Aware Search in Python with LLM Embeddings + Metadata

Keyword search breaks the moment a user types something a document doesn't literally say.

2 days ago

The Blueprint: How Movix fills a gap in dental skills with specialized agentic AI

Welcome to The Blueprint, a regular feature where we highlight how Google Cloud customers are…

2 days ago