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Since 1965, Moore’s law – engineer Gordon Moore’s astute observation that the number of transistors on chips will double each year to keep up with the needs of technology – has remained true.

At one point, Moore’s law was adjusted to the number of transistors doubling every 18 months as they got smaller and smaller and harder to pack into chips.

But as Moore’s law continues to be stretched to its limits annually in recent years by the demands of chips and technology, there might be a better measure of technological progress, says Aart De Geus, the chairman and co-CEO of electronic design automation (EDA) and semiconductor IP design firm, Synopsys.

The better standard is what de Geus calls “SysMoore,” which he says is the blending of long-held Moore’s law insights with new technology innovations that leverage systemic complexity.

“Every vertical market right now is investing to use AI to become a little smarter, more efficient, more effective,” de Geus said in his opening keynote, “Builders of the Imaginary: From Artificial Intelligence to Artificial Architects in the Era of SysMoore,” at the virtual AI Hardware Summit on Sept. 14. “But with it comes a whole set of system requests and requirements that all have to be integrated. Well, this is what characterizes the SysMoore Era.

”So how are they different?

SysMoore, fundamentally, stands for systemic complexity, in contrast to scale complexity, which has for years been supported by the exponential ambition that we know from traditional Moore's law, said de Geus.