Hardware Podcasts

Trust at Scale: The Next Challenge for AI-Driven Semiconductor Development

EE Times Current · 26 Aug 2026 · 24m

What this episode covers

Dr. Jim Shiely, Chief of Staff for Calibre Semiconductor R&D at Siemens EDA, discusses the 'trust bottleneck' emerging in semiconductor development as AI becomes embedded in engineering workflows. He explains that while AI accelerates tasks, it creates an overflow of data that requires 'trustworthy engineering intelligence'—grounded in independent verification tools like Calibre and physics-based models—to prevent hallucinations and ensure decision confidence. Shiely argues that successful companies will use digital twins and agentic flows to provide structured, traceable intelligence rather than just raw data, enabling humans to make rapid, confident decisions in a high-pressure environment.

Most relevant to

large enterprises

Topics

Mentioned

Companies
Google, SPIE
Products
Calibre
Tools
TCAD

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