Siemens Digital Industries Software Blog Network

Siemens Digital Industries Software Blogs


Siemens Software Podcast Network

Communication, trust, process: The three pillars every co-design team must get right

“If you started back in the light table taping days and you decided that when the first CAD tools came...

Electronic Systems Design

30% more productive with PCB design: faster onboarding with intuitive software

In episode 33 of The Printed Circuit Podcast, host Steph Chavez welcomed Jerry Suiter, Senior Systems Architect Director at Siemens,...

Teamcenter

Project Scheduling in Teamcenter X: Connect Planning to Execution

Many organizations are working to connect planning with execution, yet project scheduling often remains disconnected from product data and daily...

Simcenter

Keep pace with today’s multi-physics challenges with Simcenter Simlab 2026.1

Discover how Simcenter Simlab 2026.1 helps engineers across industries keep pace with today's multi-physics challenges

Thought Leadership

How AI Agents Transform Industrial Operations

AI agents are emerging as a transformational technological paradigm across industries, with the potential to reshape how companies design, manufacture...

Medical Devices & Pharmaceuticals

Accelerating drug discovery and development with Siemens pharma R&D solutions

Pharmaceutical research and development (R&D) faces a continuing problem: immense data generation coupled with persistent data silos. As new therapeutic...

Realize LIVE

Day one: energy, momentum and getting started at Realize LIVE Europe

Round-up of all the action on the ground at Realize LIVE Europe day one.

The Art of the Possible

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.

Thought Leadership

Topics in AI systems: Part IV – Practical Applications and Challenges of GNN+LLM Fusion

In Part I of this series, we introduced the idea that Graph Neural Networks (GNNs) and Large Language Models (LLMs)...