Innovative simulation and test solutions for trustworthy data-centric AI

Trustworthy AI begins with trustworthy data. Discover how Siemens and KU Leuven are performing research along this line, aiming to enable trustworthy data-centric AI for engineering applications. We consider the rich variety of engineering data, from modeling and simulation to test data acquisition, throughout product design and validation up to real-world operation. Check our blog to learn about our research towards trustworthy data-centric AI, together with KU Leuven in the frame of our research project SATISFY.AI, with support from the Flanders Innovation & Entrepreneurship Agency (VLAIO).

Your next colleague is an agent: The dawn of agentic AI-aided engineering

What if every engineer had instant access to simulation expertise? Agentic AI-Aided Engineering could transform engineering by putting intelligent AI agents alongside designers, automating complex CAE workflows, and breaking long-standing expertise bottlenecks. Discover how this emerging approach could democratize simulation and accelerate innovation across the engineering lifecycle

Fine-Tuning VLM

When off-the-shelf is not enough: fine-tuning for industrial part classification

Part identification in complex CAD assemblies is a bottleneck in simulation workflows, which can cost engineering teams days before the real work even begins. In this post, we explore how fine-tuning a Vision-Language Model on industrial components can improve the pre-processing phase.

Agentic AI for simulation post-processing

Ask, don’t click: Agentic AI takes the pain out of simulation post-processing

Picture this. You have just finished a hydraulic drive-cycle simulation in Simcenter Amesim. The solver finished in four minutes. Excellent….

From Enterprise AI to DIY: My journey with Teamcenter AI Chat and creating a custom serverless version

AI Chat moves from enterprise scale to DIY in this Art of the Possible blog. Follow the journey behind Teamcenter AI Chat and learn how its core ideas. RAG, safety guardrails, and smart system design can be recreated using a lightweight, serverless approach. A practical take on building AI Chat that actually delivers value.

Automation with VLMs

Visual Language Models: Turning design chaos into order

Visual Language Models (VLMs) are revolutionizing design by combining visual perception with language understanding, enabling engineers to classify, search, and explore complex models with natural prompts. Their remarkable generalization abilities make them invaluable for component identification. With VLMs, design chaos transforms into streamlined efficiency.

GenAI Automation through code generaiton

The role of Generative AI in simulation tool automation: From zero to hero

Imagine being able to express your simulation queries in natural language, with the software dynamically responding to carry out tasks and provide solutions. This development could democratize the use of advanced tools from the Simcenter portfolio making them more accessible to users with varying levels of expertise.

ITEA4 ELFMo Engineering GenAI Solutions

How do you engineer GenAI Solutions? Siemens and the ELFMo Project

Generative AI promises to change the way we work and live. Although still a nascent technology, we’re now seeing impressive…

From outdated to up-to-date: Modernizing deprecated code with multi-agents

Automation in Simcenter STAR-CCM+ with Java Macro Automation in Simcenter STAR-CCM+ has revolutionized how users interact with CFD simulations, providing…