EDA
System
IP
SolvNetPlus
Training & Education
AI is reshaping semiconductor engineering faster than most realize. With AI models doubling in size almost every year and hyperscalers pushing for as much as 10x improvements in silicon performance, chipmakers face unrelenting pressure to find new solutions for density, power, networking, and more.
However, the transformation that AI represents isn’t only what we build — it also fundamentally alters how we build. Workflows that previously stood the test of time can no longer keep up with the pace of innovation the market now demands.
It just so happens that some of the same AI technologies driving higher demand for more powerful semiconductors can also help engineers meet the moment to design those semiconductors faster and better.
But as increasingly sophisticated AI models take on core engineering tasks, it forces us to rethink how teams operate — and what should be done by people versus what can be accelerated by machines.
One thing is patently clear: Engineers must adapt to AI-driven change or risk getting left behind.
Read the full article in EE Times.
Continue Reading
New Synopsys.ai Copilots Deliver 2–5× Faster Chip Design Productivity
