Machine Vision’s Achilles’ Heel Revealed by Google Brain Researchers

One of the most spectacular advances in modern science has been the rise of machine vision. In just a few years, a new generation of machine learning techniques has changed the way computers see.

Machines now outperform humans in face recognition and object recognition and are in the process of revolutionizing numerous vision-based tasks such as driving, security monitoring, and so on. Machine vision is now superhuman.

But a problem is emerging. Machine vision researchers have begun to notice some worrying shortcomings of their new charges. It turns out machine vision algorithms have an Achilles’ heel that allows them to be tricked by images modified in ways that would be trivial for a human to spot.

Read more: Machine Vision’s Achilles’ Heel Revealed by Google Brain Researchers

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Mike Rawson

Mike Rawson has recently re-awoken a long-standing interest in robots and our automated future. He lives in London with a single android - a temperamental vacuum cleaner - but is looking forward to getting more cyborgs soon.

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Machine Vision’s Achilles’ Heel Revealed by Google Brain Researche…

by Mike Rawson time to read: 1 min
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