Qualcomm, other vendors look to autos, drones, and other applications.
Government and industry are investing tens of billions of dollars, but so far results are mixed.
AI makes interesting reading, but physics will limit just how far it can go and how quickly.
Problems remain for legacy infrastructure, but adoption will continue to grow as gaps are identified and plugged.
What’s driving it, what’s next, and who should be concerned?
Using light to move large quantities of data looks promising, but gaps remain and the adoption timeline will vary by application.
Political uncertainty, tempered optimism, continued consolidation, and concerns about capacity.
Machine learning, AI, require more than just power and performance.
Programmable devices are being adopted in more market segments, but they still haven’t been included in major SoCs. That could change.
Updated: Deal adds mechanical, thermal, electrical and embedded software capabilities.
As the industry speculates about 5nm and below, questions surrounding node shrinks remain.