Multi-Agent System for Simulation Model Parametrization in Digital Twins

episode

Industrial AI Podcast not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

Bringing Kashmir’s lakes back to life 25 min · 23 Sep 2026 · The Documentary Podcast

Soup 56 min · 23 Sep 2026 · Three Bean Salad

AFL Record Editor Ash Browne | Grand Final edition on sale now! (23.09.26) 2 min · 23 Sep 2026 · Whateley

NPR News: 09-22-2026 8PM EDT 4 min · 23 Sep 2026 · NPR News Now

Send Me To Sleep | Aristotle 44 min · 23 Sep 2026 · Send Me To Sleep

Finding the balance between offence & defence | The Art of Coaching with Ken Hinkley! (23.09.26) 5 min · 23 Sep 2026 · Whateley

Report any issue

Source

Recorded25 Sep 2024

Publisherkipodcast.podigee.io ↗

Handlerec:10022543

Show notes

Xia is doing his doctorate at the University of Stuttgart at the Institute for Industrial Automation and Software Engineering. He investigates how to apply the LLM reasoning capability to make the simulation models more intelligent. Based on our research exploration, he proposed a concept design consisting of LLM-agents system and digital twins to enhance the intelligence and user-friendliness of industrial software systems.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in