Breaking AIs to make them better

Image recognition AIs are powerful but inflexible and cannot recognize images unless they are trained on specific data. In Raw Zero-Shot Learning, researchers give these image recognition AIs a variety of data and observe the patterns in their answers. The research team hopes that this methodology can help improve the robustness of future AI. Credit: Hiroko Uchida.

Today’s artificial intelligence systems used for image recognition are incredibly powerful with massive potential for commercial applications. Nonetheless, current artificial neural networks—the deep learning algorithms that power image recognition—suffer one massive shortcoming: they are easily broken by images that are even …

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