Conceptual image of an electric car power train, surrounded by a holographic version of the rest of the car.

The potential of AI in automotive simulation

As artificial intelligence (AI) continues to advance in development and capability, industries of all kinds are looking for ways to…

Customizing chips for the AI age

Building AI-enabled devices requires more than just building smarter models, in many cases, it requires the right chips to run…

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…

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…

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.

AI accelerates efficient chip design

AI is finding a place in all sorts of new products and industries but as adoption continues to accelerate, key…