An AI system in the real world has to sort out a huge number of objects, human behaviors and environmental conditions.

Turning artificial intelligence research into real-world tools isn’t always straightforward, despite the remarkable progress in recent years ranging from self-driving cars to large language models. Systems that perform well in controlled lab settings often fall short when deployed in homes, in hospitals or on city streets.

Vision-based systems, for example, hold promise for improving safety, monitoring health and aiding rehabilitation. For example, a camera-based system could help a clinician assess a patient’s gait or rehabilitation progress.

Originally published on theconversation.com, part of the BLOX Digital Content Exchange.

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