How AI-Native EDA Helps Overcome Complexity
Semiconductors are rapidly growing in complexity. This growth in complexity is outstripping the ability of current tools and engineering methods, straining teams as they attempt to keep pace with modern demands for cutting edge chips. The arrival of industrial AI, however, can help these teams by accelerating tools and aiding engineers.
In this episode of the Industry Forward Podcast, host Dale Tutt, Vice President of Industry Strategy at Siemens Digital Industries Software, sits down with Ankur Gupta, Executive Vice President of EDA Integrated Circuit Software at Siemens EDA, to explore how the semiconductor industry is responding to an era of exponential complexity and how AI will help companies navigate the design of future chips.
This episode will cover:
- Three ways industrial AI is changing EDA tools
- Multi-physics analysis and system-level design automation in modern chip development
- How AI-native EDA accelerates simulation speeds and connects data across domains
- The comprehensive Digital Twin approach in EDA
And more!
Dale Tutt – Speaker
Dale Tutt is the Vice President of Industry Strategy for Siemens Digital Industries Software.
The Industry Forward Podcast
Join industry experts to explore the key trends, transformative technologies and real-world innovations that are reshaping fields from aerospace, industrial machinery and semiconductors to pharmaceuticals and beyond. Each episode delivers an in-depth discussion on the dynamic challenges industries are facing and how digitalization driven by AI, software and the comprehensive digital twin is meeting those challenges today and redefining the global industry of tomorrow.
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