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Articles on Machine learning

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It should be obvious to this diver that this is a shipwreck and not a reef, but what about to someone looking at a image of this spot taken from an aircraft? LookBermuda/Flickr

AI spots shipwrecks from the ocean surface – and even from the air

It’s difficult to tell a shipwreck from a natural feature on the ocean floor in a scan taken from a plane or ship. This project used deep learning to get it right 92% of the time.
A visualization of daily life around Angkor Wat in the late 12th century. Tom Chandler, Mike Yeates, Chandara Ung and Brent McKee, Monash University, 2021

A metropolis arose in medieval Cambodia – new research shows how many people lived in the Angkor Empire over time

Combining archaeological evidence, aerial scans and machine learning algorithms, researchers modeled how this medieval city grew over time.
Activists highlight some of the United Nations’ 17 sustainable development goals in Lima, Peru (February 20, 2017). Marco Carrasco/Wikipedia

A new intelligence paradigm: how the emerging use of technology can achieve sustainable development (if done responsibly)

A new report from the GovLab and the French Development Agency (AFD) examines how development practitioners are experimenting with emerging forms of technology to advance development goals.
Understanding how artificial intelligence algorithms solve problems like the Rubik’s Cube makes AI more useful. Roland Frisch via Wikimedia Commons

How explainable artificial intelligence can help humans innovate

AI algorithms can solve hard problems and learn incredible tasks, but they can’t explain how they do these things. If researchers can build explainable AI, it could lead to a flood of new knowledge.
Talking politics increasingly seems like an exercise in talking past one another. GeorgePeters/Getty Images

Fox News viewers write about ‘BLM’ the same way CNN viewers write about ‘KKK’

Using machine learning to study over 85 million YouTube comments, a research team has, for the first time, identified linguistic differences among cable news viewers.

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