Goal is to improve quality while reducing time to revenue, but it’s not always so clear-cut.

How pervasive will this new wireless technology actually become, and what problems still need to be solved?

Next-gen lithography technology resurfaces for a variety of tasks.

So far there are no tools and no clear methodology to eliminating bugs. That would require understanding what an AI bug actually is.

This more than Moore technology is still ramping up, and problems need to be solved, but it could lead to some fundamental changes.

Autonomous vehicles will cause fundamental shifts across a number of established industry segments tied to automotive, opening up big opportunities for chips and tools.

Better tools, more compute power, and more efficient algorithms are pushing this technology into the mainstream.

Goal is to improve quality while reducing time to revenue, but it’s not always so clear-cut.

But working with this architecture has some not-so-obvious pitfalls, and new tools licensing options may be necessary.

So far there are no tools and no clear methodology to eliminating bugs. That would require understanding what an AI bug actually is.

It’s becoming harder for tools and methodologies to keep up with increasing design complexity. How to prevent your design from being compromised.

Part 1 of 2: How do you trade off cost and safety within an automobile? Plus, a look at some of the challenges the chip industry is facing.

The issues may be familiar, but they’re more difficult to solve and can affect everything from performance to yield.