The Architecture Decisions Behind A Production-Ready EDA AI Agent


The conversation about agentic AI in semiconductor and PCB design tends to focus on capability: what the agent can do, how much time it saves, and which parts of the workflow it can automate. That is a reasonable place to start, but that is not where the hard engineering happens. Organizations are now asking whether AI agents can take on meaningful portions of the workflow, not as assistants th... » read more

Rethinking Chip Verification


Key Takeaways: AI and modern tools are easing traditional verification pain, but they're not addressing the underlying bottleneck in complex designs. Work is underway to create a golden, unambiguous spec above RTL, tracing requirements from spec to implementation to verification and checking for gaps, conflicts, and inconsistencies across levels and blocks, often with AI help. Tool c... » read more

New Ways To Improve EDA Productivity


EDA vendors are taking aim at new ways to improve the productivity of design and verification engineers, who are struggling to keep pace with exponential increases in chip complexity in tight time-to-market windows and with constrained engineering talent pipelines. In the past, progress often was as straightforward as improving algorithms or parallelizing computations in a linear flow. But w... » read more

Strain, Stress In Advanced Packages Drives New Design Approaches


Thermal and mechanical stresses are creating significant challenges in heterogeneous chiplet assemblies, increasing the time and cost required to work through all the possible physical effects, dependencies, and interactions, and driving demand for new tools. Unlike in the past, when various components were crammed into a planar SoC on a relatively thick substrate, the new substrates are bei... » read more