Ed Sperling

If one AI agent can solve a problem in a certain amount of time, can multiple agents solve it faster? The answer is yes, but only if the agents have well-defined roles and targets.

Chip and system designers scramble to leverage existing and future standards as edge AI increases demand for faster data movement and greater reliability.

How do you know when you sign off on a complex chip design that everything is going to work?

Just because it's a standard doesn't mean everything will work together, and this is especially evident with conflicting USB standards.

More steps in the design flow are shifting left, which makes a complicated design process even more complex.

Can engineers trust AI to get everything right in semiconductor design and verification?

Worldwide EDA and semiconductor IP revenue reached $5.748 billion in Q1 2026, a 12.7% increase compared to the same period in 2025.

Moving from large language models in the cloud to small language models at the edge is much more complicated than just slimming down the algorithms.

Where AI will be successful, who will benefit, and how that will affect the design process?

More data, more processing elements, and more memories are making it much harder to maintain consistent throughput in a multi-die assembly.