The importance of flexibility in AI chip design podcast – Transcript

AI is not a one size fits all solution for approaching industrial problems, rather, it’s important to tailor different models…

AI-powered simulation: a new era for industrial engineering podcast transcript

Chris Pennington: Hi everyone and welcome back to the Siemens Digital Transformation podcast series. I’m your host, Chris Pennington, global…

Enhancing chip design with AI

Reaching an optimal result in any task is often the result of balancing many factors, some of which may conflict…

Topics in AI Systems: Part III — GNN+LLM Architecture and Implementation Patterns

In Part I of this series, we explored why fusing Graph Neural Networks (GNNs) and Large Language Models (LLMs) is…

Developing an AI enhanced chip design process Podcast – Transcript

If the only constant is change, then AI represents the next big change for many tools and industries. High-level synthesis,…

Why OEMs must increase simulation adoption

Efficiency in manufacturing is key to ensuring competitiveness for years to come. Manufacturers around the world work to tackle labor…

Topics in AI Systems: Part I — GNN and LLM Fusion

In a meeting with my Siemens colleagues late last year, I made the comment that Graph Neural Networks (GNNs) are…

Two automotive industry professionals collaborating on AI-driven solutions, viewing a laptop screen with a prominent 'AI' graphic overlay, representing the integration of agentic AI technology in automotive enterprise operations

How do automotive enterprises succeed in the agentic era?

Introduction  Across the automotive industry, teams at every level — from engineering and IT to production, quality, and operations —…

The Digital Enterprise and the Synthesis of Industrial AI, Digital Twin and Data

Digital Enterprises are built on three core technologies: the comprehensive Digital Twin, Software-Defined Everything (SDX) and Industrial Artificial Intelligence (AI). With such a foundation, Digital Enterprises will develop game changing speed, adaptability, resiliency and sustainability as they collect and understand historical and real-time data.