The internet can be a scary place. Threats come in many forms, lurking in practically any corner. Worse, yesterday’s prevailing advice for staying safe online -- avoid dodgy websites, don’t traffic in stolen or illegal goods, interact only with people you know -- no longer holds. Phishing emails from supposed family members, spyware piggybacking on legitimate apps, well-known sites hijacked with malicious code -- digital safety clearly needs new rules to meet today's evolving threatscape.

Considering how much of our digital lives occurs online -- communications, financial transactions, entertainment, work, education, to name a few -- adopting even a few safe browsing practices can lead to broad benefits. And this includes how we deal with email messages as well, given how popular email is as a delivery mechanism for online attacks using exploit kits and malware.

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When Google first told the world about its Tensor Processing Unit, the strategy behind it seemed clear enough: Speed machine learning at scale by throwing custom hardware at the problem. Use commodity GPUs to train machine-learning models; use custom TPUs to deploy those trained models.

The new generation of Google’s TPUs is designed to handle both of those duties, training and deploying, on the same chip. That new generation is also faster, both on its own and when scaled out with others in what’s called a “TPU pod.”

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