Machine learning: ‘New electricity’ enabling access

Andrew Ng, a leading educator in machine learning, has described the technology as “the new electricity” for its ability to transform modern society. The roughly 780 million people globally without electricity access would happily settle for just the “old” electricity. But a growing amount of data from smart meters, satellite imagery, and other sources has allowed machine learning to play a bigger role in advancing energy access, as Dustin Zubke reports.

Issue 07-2020

Kyle Bradbury of Duke University is using satellite and drone imagery to automatically detect solar PV panels, in order to more effectively map electricity infrastructure in data-poor regions.

Image: USAID

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