Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

Researchers have designed an intelligent household robot capable of autonomous navigation, object detection, and sorting. This robot, equipped with advanced technologies like depth cameras, YOLOv11 ...

The AV sector is expanding due to a number of causes. First off, vehicles are becoming smarter and safer due to improvements in AI and machine learning. In order to speed up development, governments ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...