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.
