Costs of developing a complex chip could run as high as $1.5B, while power/performance benefits are likely to decrease.
Technology has the potential to reshape processing everywhere, starting with limited scientific and commercial applications.
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.
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