Categories: AI/ML News

Simulated proving ground trains and assesses AI for actively controlling fluid dynamics

A platform for training and comparing machine learning models to actively reduce drag, improve lift, cut noise and manage heat has been launched by an international team that includes researchers at the University of Washington, University of Michigan Engineering, RWTH Aachen University and the Technical University of Munich.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

From 3D layout to compositing: new LTX VFX tools

During VFX Week last week, we released seven open-weight capabilities for LTX-2.5, covering high-res editing,…

11 hours ago

How (and Why) to Build an AI Agent from Scratch in Python

In this article, you will learn what an AI agent is and how to build…

11 hours ago

Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems

Designed artifacts are ontological, shaping, and at times limiting, what becomes possible or imaginable. One…

11 hours ago

Introducing GLM 5.3 on Amazon Bedrock

Coding and agentic workloads are asking more of AI models than ever: refactor a repository…

11 hours ago

Elon Musk’s Exes Are the Most Damning Part of a Massive New Documentary

Interviews with Justine Wilson and Ashley St. Clair in the nearly four-hour-long Musk paint the…

12 hours ago

Browsing this sub in the past week

No hate. Just for fun. submitted by /u/the_bollo [link] [comments]

1 day ago