Unfortunately, refining tools and flows requires incorporation of lessons learned, and this is true for almost every new process node. It's a real conundrum, because you don't want to be the first one to tape out a big SoC in the latest process, but time to market pressures don't give you much leeway to let others blaze the trail ahead of you.
For current synthesis and analysis tools, they haven't addressed critical issues for nanotechnology For example, the product leakage is often 2X-4X higher than estimation because it is due to incorrect power model. The high design margin (20%-30%) in current SSTA is due to improper DFM setup, the actual margin can be reduced by half.
Perhaps I could be even bolder and suggest that verification is much like the drug industry. Even if there were a cure, it is more profitable to sell things that work on the symptoms which keeps the customer coming back for more.
Drones are, in essence, flying autonomous vehicles. Pros and cons surrounding drones today might well foreshadow the debate over the development of self-driving cars. In the context of a strongly regulated aviation industry, "self-flying" drones pose a fresh challenge. How safe is it to fly drones in different environments? Should drones be required for visual line of sight – as are piloted airplanes? Join EE Times' Junko Yoshida as she moderates a panel of drone experts.