عوامل التحدي في نقل تقدم الذكاء الاصطناعي إلى العالم الحقيقي

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, hospitals or on city streets.