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August 15, 2021 01:34 am

Will Google's Tensor Chip Spell Trouble for 5G?

Google's Pixel 6 phone will be powered by a Tensor processor which PCMag UK believes is "clearly designed to accelerate machine learning and AI." But does it have bigger implications?Tensor is a signpost, not a destination. Google has never sold huge numbers of Pixel phones and isn't signaling a change in strategy there. Rather, it's saying that it would like Android as a whole to shift toward more on-device processing for AI and ML. That could give a big boost to Google's two core businesses, advertising and data. It could also create problems for the future of 5G... The more your phone can handle its own ML and AI, the less it needs the cloud. For example, a Tensor-enabled phone could potentially analyze your photos and share data locally with on-device advertising APIs, letting Google proclaim that its cloud services never access your raw data. That would help bridge the gap between the privacy you want and the targeted ads Google needs to survive. But a lot of consumer 5G app ideas assume your phone will offload processing or rendering onto the network. Phones that are mostly self-sufficient aren't going to need high-bandwidth, low-latency networks or "mobile edge computing." Sure, the rise of more Tensor-like ML-focused chips would take pressure off the carriers' still-shaky 5G builds, but it'll also keep raising the question of why consumers need 5G in the first place. That could reduce carriers' willingness to keep investing in their consumer 5G networks. Although the first sence of the article's last paragraph adds, "Maybe I'm overstating the issue here..."

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