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. Illustrated by Hiroko Uchida.
Researchers investigate ways to make AIs more robust by studying patterns in their answers when faced with the unknown. Current AIs are very accurate but inflexible at image recognition. Exactly why this is remains a mystery. Researchers have developed a method called ‘Raw Zero-Shot’ to assess how neural networks handle elements unknown to them...
Recent Comments