A primary goal of machine learning is to use machines to train other machines. But what happens if there’s malware or other flaws in the training data?

Momentum growing for low-cost alternatives to interposers as a way of reducing overall development costs.

What happens when companies are combined? The outcome often isn’t as good as the announcement.

This technology has resurfaced as one option at 5nm, but it’s still not clear if it will work.

D2S’ CEO sounds off on the impact of deep learning, EUV and other manufacturing advancements.

Why packaging is becoming increasingly critical and difficult in the automotive market.

Costs of developing a complex chip could run as high as $1.5B, while power/performance benefits are likely to decrease.

Lines blur as processors are added into traditional FPGAs, and programmability is added into ASICs.

Technology has the potential to reshape processing everywhere, starting with limited scientific and commercial applications.

Shortages of used equipment and lower margins mean this problem isn’t getting solved anytime soon.

5G is driving up demand for both 300mm and 200mm capacity. Both are in short supply.

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

Most attacks in the past focused on gaining access to software, but Meltdown and Spectre have changed that forever.